Dopaminergic control of hippocampal neural circuitry
Zev B. Rosen
Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences
COLUMBIA UNIVERSITY
2013
©2013 All rights reserved Zev B. Rosen
Abstract
Dopaminergic control of hippocampal circuitry
Zev B. Rosen
Memory is a limited resource. Therefore, the circuitry that encodes memory must filter incoming information in accordance with its perceived value. The hippocampus, the hub of the declarative memory system, may achieve memory valuation using its rich variety of neuromodulatory afferent systems.
The dopamine (DA) neurons in the ventral tegmental area (VTA) and susbtantia nigra pars compacta (SNpC) are in a particularly strategic position to aid the hippocampus in gating long-term memory. Their firing rates encode the salience of external cues in the environment and they send axons to the output node of the hippocampus, area CA1. In CA1, exogenous receptor stimulation with DA receptor agonists and antagonists suggests an important role for VTA/SNpC DA in learning and memory as the DA receptors powerfully modulate synaptic transmission, permit LTP induction, and enhance different forms of spatial memory.
However, it remains unknown whether the VTA/SNpC DAergic axons are capable of activating those receptors and triggering the effects on
hippocampal physiology. The VTA/SNpC innervation density in the hippocampus is modest and, in many cases, the axons are distant from the neurons exhibiting the effects. Other sources of DA could couple to those receptors, such as the locus coeruleus, which also releases DA in the CA1 area.
To investigate the VTA/SNpC’s DAergic influence, I took a circuit- based approach and selectively evoked DA release from the VTA/SNpC
DAergic afferents in CA1 in vitro with different patterns of optogenetically guided stimulation. I found that DA release directly modulates the CA3
Schaffer collateral (SC) synaptic excitation of CA1 in a bidirectional manner.
A single light-burst (three 5-ms-long pulses at 66 Hz) suppresses the SC- evoked PSP in CA1 pyramidal neurons (PNs) through a D2-receptor dependent enhancement of parvalbumin-positive interneuron mediated feedforward inhibition. More prolonged DA release using 25 light-bursts (at 1
Hz) increases the SC PSP through a D1-type receptor dependent direct presynaptic effect on excitatory transmission.
Thus, I propose the following model for how VTA/SNpC DAergic afferents effect oppositional synaptic states to influence learning in the hippocampus in accordance with motivational demands. During tonic DA release, the D4 receptors become activated, globally weaken the SC synaptic input to CA1 PNs, and increase plasticity thresholds. In contrast, phasic DA
release activates D1-type receptors, and transitions the SC synapse to a more efficacious state, during which weaker inputs can drive potentiation.
Contents
List of Figures ...... iii
List of Abbreviations ...... v
Acknowledgements ...... vii
Chapter 1
Two orthogonal networks ...... 1
Memory systems ...... 4
Functional neuroanatomy of the hippocampus ...... 7
Memory as a limited resource ...... 13
VTA/SNpC DA signals in striatum ...... 15
VTA/SNpC DA signals in hippocampus ...... 19
DA in the hippocampus: insight from anatomy ...... 21
VTA/SNpC DAergic input to CA1: function ...... 25
VTA/SNpC DAergic input to CA1: synaptic transmission ...... 26
VTA/SNpC DAergic input to CA1: synaptic plasticity ...... 32
VTA/SNpC DAergic input to CA1: memory ...... 35
Aims of this thesis ...... 38
Chapter 2
Introduction ...... 46
Results ...... 54
i
Discussion ...... 71
Chapter 3
Introduction ...... 79
Results ...... 86
Discussion ...... 111
Chapter 4
Introduction ...... 116
Results ...... 118
Discussion ...... 133
Chapter 5
Conclusion ...... 140
Chapter 6
Methods ...... 147
References ...... 154
List of Figures
1.1 Memory taxonomy...... 9
ii
1.2 Trisynaptic loop ...... 12
1.3 VTA DAergic innervation of the hippocampus...... 27
2.1 Effect of DA on synaptic transmission in the hippocampus . . 49
2.2 ChR2 guided spikes...... 54
2.3 DA bath application effects ...... 56
2.4 ChR2 expresses in DA neurons ...... 60
2.5 VTA DA neurons project to CA1...... 61
2.6 Effects of VTA photostimulation on membrane properties. . . . 63
2.7 Effects of VTA photostimulation on synaptic excitability. . . . . 65
2.8 Pharmacological analysis of photostimulation effects ...... 69
3.1 Photostimulation effect requirea inhibition...... 87
3.2 Photostimulation enhances feedforward inhibition...... 92
3.3 DAMGO abolishes the photostimulation effect...... 95
3.4 Strategy for silencing PV+ interneuron population...... 99
3.5 PSEM expresses and silences the PV+ interneuron population. 100
3.6 PV+ interneuron silencing reverses the photostimulation effect 102
3.7 Strategy for targeted recordings from the PV+ interneurons . . . 105
3.8 TdTomato expressing neurons are PV+ interneurons ...... 106
3.9 Photostimulation enhances SC input to PV+ interneurons...... 109
4.1 Prolonged photostimulation enhances the SC PSP ...... 121
4.2 Enhancement effect requires D1 receptors...... 123
4.3 Pharmacological analysis of enhancement effect...... 128
iii
4.4 Enhancement effect occurs presynaptically...... 130
4.5 DA bath application increases SC PSP with inhibition blocked. . .132
iv
List of abbreviations
Dopamine (DA)
Midbrain dopamine neuron (MDN)
Dentate gyrus (DG)
Cornu ammonis 3 (CA3)
Cornu ammonis 2 (CA2)
Cornu ammonis 1 (CA1)
Entorhinal cortex (EC)
Schaffer collaterals (SC)
Perforant path (PP)
Long-term potentiation (LTP)
Early long-term potentiation (E-LTP)
Late long-term potentiation (L-LTP)
Long-term depression (LTD)
Norepinephrine (NE)
Ventral tegmental area (VTA)
Substantia Nigra pars Compacta (SNpC)
Retrorubral field (RRF)
Resting membrane potential (Vm)
Tyrosine hydroxylase (TH)
v
Pyramidal neuron (PN)
Interneuron (IN)
Paired pulse facilitation (PPF)
N-Methyl-D-aspartate (NMDA)
vi
Acknowledgements
Science is not a solitary endeavor. I want to give thanks to everyone that supported this process. The incredibly supportive Siegelbaum lab members both past and present were instrumental. John Riley and Eric
Odell, the lab managers— without your support there would be no science. I want to thank Rebecca Piskorowski, Vivien Chevaleyre, Kevin Franks, and
Hu Lei for being cruel to my traces and making me a better physiologist.
Frederick Hitti, Marco Russo, Justine Kupferman for the help with imaging.
Pablo Ariel, Qian Sun, Bina Santoro, Yating Lei, Kalyan Vadurri: thank you for your technical advice. Jayeeta Basu, you took me in, you sparked my amplifier, and guided my manipulator, I owe you everything.
My committee, Gyorgy Buzsaki, Eric Kandel, Attila Losonczy, and
Dave Sulzer: thank you for believing in my research and making me a more thoughtful and rigorous scientist. I also want to acknowledge the animals whose sacrifice to science I hope both increases knowledge and reduces suffering in this world.
I want to thank my cousins: the Singers, Ellen, Scott, Josh, Ayelet, and Shira. Yes, I could have done this without you, but I would have been miserable. To my siblings Kayla, Avi, Ezra, Jessica: you have been an
vii
undying source of joy, encouragement and fortitude. You’re the best.
Mom, Abba, what can I say? Thank you for instilling in me the passion for knowledge that drove those eternal nights at the rig and for bringing the delicious food that sustained them. My mentor Steve, I can only hope that some day I can cultivate as fertile a ground for scientific exploration as you have created here. And God, to whom I owe all.
viii 1
Chapter 1
Introduction
Two orthogonal networks
The prophetic and prolific anatomist Santiago Ramon y Cajal postulated from histological analysis of neural tissue that the brain consists of discrete elements called neurons and that these neurons communicate with one another across their encapsulating membranes (Cajal, 1911). Sherrington eventually named these communicative junctions between two neural membranes “synapses” from the Greek “syn-”, meaning “together”, and
“haptein” meaning “to cling” (Sherrington, 1906). Cajal posited that information flows unidirectionally from dendrite to axon and, at the axon, transmits the signal across the synapse to the dendrite of the downstream neuron. And so it goes from sensation to action.
This principle of dynamic polarization of the neuron doctrine paved the road for the contemporary understanding of the function of the brain. Cajal’s
2 neuron doctrine and the later electrophysiological studies of synaptic transmission by Katz and colleagues pertains most directly to the brain’s
“wired network”. This sort of fixed network could direct discrete input output relations for a wide range of sensory-motor patterns. This wired signaling system in the brain consists of a matrix of highly efficient, fast, synapses characterized by tightly coupled presynaptic and postsynaptic structures containing neurotransmitter exocytosis machinery at the axon bouton active zone and ionotropic receptors in the post-synaptic density.
In addition to this fast, wired network, there is a “slow” signaling network that acts through the release of neurotransmitters which diffuse through the neuropil (Agnati et al., 2006) and activate metabotropic G- protein coupled receptors (GPCRs). The slow system is suited for implementing motivational states—brain states in which an inordinate propensity to seek or avoid a class of objects develops. Hunger, for example refers to the brain state in which the organism seeks food to provide caloric content to the organism, and is implemented as attentional preferences to food related stimuli, negative affect, stomach discomfort, and eating behavior.
The totality of these experiences is referred to as hunger.
The slow neuromodulatory systems are well adapted to implement motivational states as they project divergently and act at an appropriate time scale. These two systems act in concert with one another. The same neurotransmitter can act on both networks and multiple neurotransmitters
3 effecting both types of signaling can even be released from the same bouton
(Sulzer et al., 1998). The wired network is much more precise in both time and space as it directly supports millisecond-scale computation of perception and action. The slow system is spatially and temporally more coarse. This dissociation is reflected by the kinetics of their effectors; ionotropic receptors have activation and deactivation time constants in the millisecond range, whereas GPCRs vary in their activation time constants from 100s of milliseconds for direct protein-protein interactions to hours when they trigger protein synthesis via second messenger cascades (Post and Brown, 1996;
Hamm, 1998). Ultimately, it is the fast system that generates the motor output so the significance of the slow system depends on the degree to which it alters the functioning of the fast system.
Neuromodulatory nuclei that release neurotransmitters such as dopamine, serotonin, and acetylcholine are tuned to fire in response to stimuli in the world that elicit motivational states and they facilitate the consummation of the associated motor programs. Their direct actions on behavior, networks, neurons, synapses, and biochemical signaling pathways, are multifarious. If we consider the neurons in a given neuromodulatory nucleus to be homogeneous, their function will be differentiated by the recipient structures. The brain is thus endowed with two levels of architecture to effectively navigate the environment: perceptual, mnemonic, and motor systems for interpreting, storing, and acting on the current
4 environment and a motivational system that alters the “wired” systems in accordance with the changing demands of the organism and environment.
This thesis aims to elucidate one of the avenues through which motivational systems alter a central and critical component of the memory network, the hippocampus.
Memory systems
In changing environments, it is beneficial for the brain to accrue information about experience so as to optimize future behavior. To do this, the nervous systems evolved an ability to undergo activity dependent plasticity (Sherrington, 1906; Hubel et al., 1977). This extraordinary adaptation, in neurobiological terms, refers to changing the brain’s functional architecture to dynamically alter the input-output mappings between sensory and motor structures in response to new experiences.
On the macroscopic level, the brain subdivides memory into multiple categories and devotes interdependent but distinct structures (figure 1.1) to accomplish each of them. This idea had some historical antecedents in psychology and philosophy (Squire, 2004), but became situated as a biological concept with lesion studies of patients like HM (Scoville and Milner, 1957), whose medial temporal lobectomy, a successful epilepsy treatment, left him with a severe anterograde amnesia. He, and similar patients, could no longer
5 form new memories of conscious facts and events, while motor skills remained intact. These studies led researchers to functionally and anatomically dissociate declarative memory and non-declarative memory
(Milner, 1962).
Declarative memory is subserved by the hippocampus and related structures in the medial temporal lobe, nondeclarative memory by striatum and other structures. Declarative memory is further subdivided into semantic and episodic memory (Tulving, 1972). Semantic memory refers to the
Figure 1.1: Memory taxonomy. Adapted from Squire, L. R. & Knowlton, B.
J., 1994).
6 knowledge of facts (like the organization of the subdivisions of memory) that have been removed from their experienced context. Episodic memory refers to the spatiotemporal flow of experience, the movie that we can play back in our mind.
The hippocampus is involved in encoding all declarative memory, but likely only in the consolidation and retrieval of episodic memory 1. Studies of
HM and other similar patients confirmed the entrenchment of declarative memory in the medial temporal lobe. The hippocampus is the most extensively studied structure anatomically and functionally within the medial temporal lobe and its analysis has provided the most detailed insights into the mechanisms of memory.
The structure and function of the hippocampus and associated structures in the medial temporal lobe are largely conserved across mammalian evolution (Manns and Eichenbaum, 2006). In rodent and non- human primate, the general macroscopic architecture of the medial temporal lobe resembles that in humans and hippocampal lesions impair spatial
(O’Keefe & Nadel, 1978) and general episodic memory (Babb and Crystal,
2005) across mammals. Therefore, the rodent hippocampus is a relevant model for the human and has served as the focal point for research into the neurobiology of memory.
1 The role of the hippocampus in semantic memory retrieval is a matter of some debate. Semantic memories emerge from episodes in our life. It seems like during the consolidation period, semantic memories become reliant on neocortical circuitry.
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Functional neuroanatomy of the hippocampus
The structure of the hippocampus implies its function. Therefore gaining a deeper, higher resolution picture of the anatomy provides a basis for insight into the way in which memories are stored and retrieved. The hippocampal formation is a bilateral C-shaped structure in three dimensions that curves from the dorsal-medial to ventral-lateral regions of the rodent brain (Amaral, 1999). It consists of the dentate gyrus (DG), the hippocampus proper (CA3, CA2, and CA1 subfields), the subicular complex (subiculum, presubiculum, and parasubiculum), and the entorhinal cortex (EC) (Amaral and Witter, 1989). Transverse sections of the structure reveal a distinct layered organization. Each layer is called a stratum and maps onto functional subdivisions in the anatomy.
CA1 is the subregion on which this thesis will focus. The cell body layer of the hippocampus proper is confined to one long continuous layer known as stratum pyramidale (SP, figure 1.2, top). The CA1 principal neuron 2 extends its primary apical dendrite out of the soma up to the border of the DG (Amaral, and Lavenex, 2006). The proximal half of the apical dendrite stretches through stratum radiatum (SR). The distal apical tuft dendrite arrays in a
2 The CA1 pyramidal neuron has also served neuroscience as the model cortical neuron.
8
SO SP SR SLM m
Figure 1.2. Top, the hippocampal trisynaptic loop is revealed in transverse sections. Bottom, CA1 inputs are segregated along the dendritic tree and align with multiple types of inhibition.
9 visibly darker layer known as stratum laconosum moleculare (SLM, figure
1.2, top). The basal dendrites of CA1 neurons emerge from the soma directly into stratum oriens (SO). SLM, SR, and SO are for the most part free of excitatory principal cells but contain an assortment of GABAergic interneurons. The input space conforms to the observed individual layers in most cases, a feature that has made the hippocampus one of the most fruitful models for synaptic transmission and plasticity. Additional interest in the hippocampus exists beyond memory research because many of the cellular and circuit properties apply to neocortex and other brain regions 3.
The anatomy and lesion studies suggest that the hippocampus acts as a processor of all perceptual information, hence its function in episodic memory, which involves the entire spatiotemporal context of experience. It has been a matter of some debate whether the rodent hippocampus performs general episodic memory formation or only spatial forms of memory.
Regardless, in both humans and rodents, it performs some set of operations on universal sensory representations generated in the cortex, transforming them such that they can be permanently stored. Polysensory perceptual representations enter the hippocampus and are processed therein by a series of nested convergent excitatory loops. The outermost, the canonical tri- synaptic loop (Andersen et al., 1971), begins with information traveling from
EC layer 2 across long-range, primarily glutamatergic, axons to the dentate
3 Also, its synaptic circuitry and cornucopia of cell types resemble the neo- cortex.
10 gyrus, where it is conveyed across the perforant path synapses to the dentate gyrus granule cells (figure 1.2, top). The granule cells, then, pass the information along their axons via the mossy fiber synapses onto the thorny excrescences on the dendrites of cornu ammonis area 3 pyramidal neurons
(CA3). CA3 neurons have many recurrent excitatory connections where the autoassociative pattern completion of recognition memory recall is thought to occur (Nakazawa et al., 2002). The CA3 axons then pass the output along a massive axon plexus to CA1 where they form Schaffer collateral (SC) synapses on the proximal and basal dendrites of the CA1 pyramidal neurons in SR and SO (figure 1.2). This completes the tri-synaptic pathway.
CA1 neurons are the principal output of the hippocampal circuit. They
“close the loop” by projecting back to deeper layers of EC and other brain regions. Additionally, the CA1 region receives a direct glutamatergic input from EC layer 3 onto its distal dendrites in the SLM (figure 1.2). CA2 and
CA3 also receive a direct glutamatergic input from EC. These are also known as the perforant path as the axons perforate the subiculum on their trajectory before terminating in synaptic contacts along the apical tuft dendrite of CA1.
It has been theorized that the synaptic matrix of the hippocampus is analogous to a random graph (Buzsaki, 2006) and well suited for storing a representation of space over time.
At each node in this circuit, a wide diversity of interneurons abound, participating in feedforward, feedback, and long range GABAergic inhibition
11 onto the soma, dendrites (Miles et al., 1996), and axons (Kosaka, 1983) of both excitatory and inhibitory neurons (Freund and Buzsaki, 1996). These interneurons will be analyzed in more detail later, but their function is critical for overall network stability (Ben-Ari et al., 1979), the spatiotemporal flow of activity (Pouille and Scanziani, 2001; Royer et al., 2012), and defining and synchronizing cellular ensembles (Buzsaki and Chrobak, 1995; Cobb et al., 1995; Somogyi and Klausberger, 2008).
The synaptic matrix within the hippocampus is the substrate within which statistical regularities within the environment are encoded and retrieved. What changes occur in the hippocampal network when learning occurs? At a cellular level, the mechanism for memory storage is thought to be through Hebbian-style modifications in synaptic strength, whereby temporally correlated presynaptic and postsynaptic activity enhances synaptic strength (Hebb, 1949). Or, more succinctly, “cells that fire together wire together”. In the hippocampus of an anesthetized rabbit a cellular process that fulfilled the requirements of Hebbian plasticity was discovered
(Bliss and Lomo, 1973) and is now known as long-term potentiation (LTP).
These processes at excitatory synapses fit remarkably well with Hebb’s postulate and are thought to be the primary substrates through which learning occurs, although changes in cellular excitability, inhibitory interneuron plasticity, or other ongoing dynamics may also play a role.
Specific pharmacological blockade and congruent knockdown of key molecules
12 in the hippocampus involved in LTP, such as the NMDA receptor (Morris, et al., 1986; Tsien et al., 1996), impairs episodic memory, as measured in spatial navigation tasks in rodents. Complementary studies show that hippocampal dependent learning tasks progressively increase synaptic strength in the hippocampus as learning develops and these changes use the same cellular mechanisms as classical in-vitro LTP (Whitlock et al., 2006), suggesting that synaptic LTP is indeed the substrate of learning. LTP can be produced at all of the major excitatory synaptic junctions in the hippocampus: PP synapses to DG, CA3, CA2, and CA1, mossy fiber synapses onto CA3, and SC synapses onto CA1. Later, many activity-dependent mechanisms for synaptic depression were discovered as well (Levy and Steward, 1979; Bear and
Abraham, 1996).
At around the same time as the discovery of LTP, a major breakthrough for memory science emerged with the discovery of neurons tuned to spatial location. When a rat was placed in a new environment, after a few minutes of exploration, its hippocampal neurons began to fire in particular locations (O'Keefe and Dostrovsky, 1971) in space. These cells were called “place cells” because the neurons seem to encode a given location of a known environment. The place cell map represents an environment in neural space and serves to guide spatial recall. As such, when the environment changes completely and when cues are shifted systematically, the place cells remap to new locations or corresponding locations relative to the cue,
13 suggesting that the place cells encode the animal’s concept of its own position within a fixed environment (Wilson and McNaughton, 1993).
A simplified current model for memory and its retrieval, then, is that the hippocampal synaptic matrix encodes new perceptual representations by arraying the evolving spatiotemporal context into a unique set of synaptic weight changes (the engram), through synaptic potentiation and, possibly, depression, among a defined set of neurons (the neural assembly). Thus, when the animal re-experiences a cue (a percept consisting of a partial representation of the environment) this will activate the same neuronal ensemble and in the same pattern as the one that fired at the time of the initial exposure to that environment. The partial cue reinvigorates the whole of the context by driving the initially encoded cell assembly. In this manner, a past trajectory through a known space will be reawakened when the learned polysensory contextual representation is projected into the hippocampus and activates the same set of place cells, as long as the synaptic plasticity is stable.
Memory as a limited resource
However, this model presents a problem. Since synaptic territory in the hippocampus is limited, just as important as it is to rewire mappings in the network using LTP and LTD, useful structure must be maintained. This
14 tension is described by William James in his discussion of habit in Principles of Psychology:
”Plasticity , then, in the wide sense of the word, means the possession of a structure weak enough to yield to an influence, but strong enough not to yield all at once. Each relatively stable phase of equilibrium in such a structure is marked by what we may call a new set of habits. Organic matter, especially nervous tissue, seems endowed with a very extraordinary degree of plasticity of this sort; so that we may without hesitation lay down as our first proposition the following, that the phenomena of habit in living beings are due to the plasticity of the organic materials of which their bodies are composed .”
How does the brain achieve this proper balance of rigidity and plasticity? Or, stated differently, how does the brain know what to remember and what to forget? This resembles the same sort of optimization problem posed to an organism making decisions under uncertainty. Economic theories of decision-making define an action selected from many alternatives as the one with maximum utility. Perceptions with high memory utility, relevant memories, can be thought of as the perceptions “chosen” to be strongly encoded and, therefore, to have a high probability of being recalled in the future. The key variable that determines memory strength would be the value assigned to ongoing perceptions. The brain then needs a way to calculate the value of a perception (its relevance) and then project that
15 information to memory circuitry to give it preferential access to long-term memory stores. The most relevant perception for future action will shape the brain’s network and irrelevant perceptions will be ignored by the brain’s structure and forgotten 4.
What this would require in the terms stated above, then, would be a memory system that incorporates value and motivational states to adjust plasticity processes accordingly. Motivation related signals are not computed in the hippocampus. Therefore, other brain regions must project this information to the hippocampus. This kind of framework was termed “neo-
Hebbian” (Lisman et al., 2011) because it requires a heterosynaptic signal to guide memory related homosynaptic cellular processes like LTP, LTD.
Hebbian learning models involve correlated firing of cells within a circuit. The activity within that circuit drives the plasticity that supports learning. The neo-hebbian model adds an additional layer, asserting that plasticity processes can be biased by or even gated by extrinsic inputs to the network. These additional inputs will provide further constraints to optimize memory formation in accordance with task demands.
VTA/SNpC DA signals in striatum
4 This problem can also be posed across phylogenetic time for the evolution of the sensory systems that extracts the most relevant perceptions for behavior. Across phylogenetic time the brain has evolved a hard wiring (memory in genes) in response to the statistical regularities in the external world.
16
There could be numerous ways for a value signal to be projected to the hippocampus and aid in its forming of memory relevance decisions. In economic decision-making theory “rewards” drive learning. A reward is an object or event in the world that naturally elicits approach behavior, reinforces those approach behaviors, and is the outcome of decision-making
(Schultz, 2007). Midbrain DA neurons (MDNs) are at the core of the reward system as they encode the predicted rewarding quality or “value” of a stimulus (Schultz, 1998). DA neurons shift from a tonic firing state (1-3 Hz) to phasic bursting at (10-30 Hz) in response to stimuli that elicit approach behavior, such as unexpected appetitive stimuli like food, water, sex, and novelty (Schultz, 1998; Wise, 2004) 5. They reduce their firing when that reward is absent (Tobler et al., 2003). Moreover, they track associative learning during classical conditioning, firing at first to a surprising and motivating unconditioned stimulus. However, after the animal learns to associate the unconditioned stimulus with a predictive conditioned stimulus,
DA neuron firing shifts in time to the presentation of the conditioned stimulus (Tobler et al., 2005). These data led to the hypothesis that dopamine neuron firing acts as the value signal that comes to reinforce associations
5 It is know also know that stimuli that elicit escape behavior (Brischoux et al., 2009) drive phasic responses in DA neurons as well. Escaping punishment is rewarding.
17 between neutral stimuli (and actions) and rewarding ones (Sutton and Barto,
1998; Schultz, 2007).
The MDN reinforcement hypothesis is well established for striatal- based procedural learning and has been borne out in Pavlovian and operant conditioning paradigms. Rodents choose to lever-press to receive DA neuron stimulation (Philips and Fibiger, 1978), indicating that DA firing is sufficient to reinforce the behavior. Animals find this even more rewarding then life- giving calories and will sustain pain in order to receive it (Routtenberg and
Lindy, 1965). It is indeed the striatal input driving this behavior as specific lesioning of the nigrostriatal DA projection with 6-OHDA impairs habit formation (Faure, 2005). Moreover it is the phasic firing signal of the
VTA/SNpC (10-30 Hz) that drives the learning as optogenetically induced phasic firing of DA neurons of the VTA induces place preference (Tsai et al.,
2009), while tonic firing does not. Thus, rewards drive phasic firing of DA neurons in the VTA/SNpC and that signal instructs learning by some reinforcing action in striatal circuits.
How would DA neuron efferent phasic signals enact this reinforcement? To answer this question we must consider the effectors of DA, the DA receptors, as well as their signaling properties. The DA receptor family belongs to the superfamily of 7-transmembrane spanning G-protein coupled receptors (GPCRs). There are 5 types expressed in the mammalian brain (Missale et al., 1998). The D1-type receptors include the D1 and D5
18
receptors and are G s coupled so they activate adenylyl cyclase to increase cAMP. The D2 type receptors include D2, D3, and D4 receptors, and are mostly G i/o GPCRs, which inhibit adenylyl cyclase and thus decrease cAMP levels.
If the VTA/SNpC DAergic signal is indeed the reinforcing signal that drives striatal learning then DA receptor blockers should impair learning.
Indeed, antagonists of DA receptors prevent the acquisition and maintenance of lever pressing for DA neuron axon self-stimulation reward or food reward.
DA neurons and receptors are also necessary for classical conditioning
(Spyraki et al., 1982). Rats will ordinarily develop a preference for spatial locations where they are rewarded with food. Under DA receptor blockade, this preference disappears. These strong effects of the DA system on the ability to learn particularly affect striatal dependent learning tasks.
What is the cellular basis for the actions of DA in reward learning?
Both LTP (Centonze, 2001) and LTD (Calabresi, 1992) in the striatum have been found to require DA in the striatum. The theory, then, is that DA neuron phasic firing releases DA onto the striatum and activates D1 and D2 receptors, which drives plasticity by gating LTP and LTD. The reward signal, indicative of the value of a stimulus, is carried by the DA neurons to its terminal field in the striatum, where it permits plasticity to reinforce the association of a behavior with a reward.
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VTA/SNpC DA signals in hippocampus
Might VTA/SNpC DA neurons also act to project value signals to the hippocampus to aid decision-making about episodic memory encoding?
Lisman and Grace, 2005 proposed that a hippocampal-VTA-hippocampal loop acts to detect novelty, and then grants the novel stimulus preferential access to hippocampal-dependent memory processes. I propose that this idea be slightly extended and suggest that the currency of memory’s economy is based in DA and other neuromodulators that are sensitive to salience. In other words, relevance decisions are driven in part by neuromodulatory inputs into the hippocampus. These inputs shape learning in accordance with the salience of the ongoing environment and an animal’s internal state by altering synaptic signaling.
Specifically, the theory of Lisman and Grace (2005) states that the hippocampus and DA neurons couple to one another in a recurrent loop to give preference to salient information in its access to memory. The idea is that the hippocampus detects novelty by comparing the ongoing sensory representation with a mnemonic representation. The hippocampal output disinhibits the VTA via an indirect pathway involving three intervening structures: subiculum, nucleus accumbens, and ventral pallidum. The excited
VTA, in turn, releases DA in the hippocampus, which enhances plasticity processes in CA1 to favor encoding of the information that led up to the
20 salience (Lisman and Grace, 2005; Otmakhova et al., 2013). In such a way,
DA facilitates learning and memory. There is considerable evidence for the downward arm of the loop, the novelty detection in the hippocampus (Fyhn et al., 2002) and VTA upregulation as a result (Legault and Wise, 2001).
However, the VTA impact on the hippocampus requires further analysis.
The mesolimbic DA projection from VTA and SNpC, of which the hippocampus is one terminal field, is a suitable candidate to carry mnemonic value information into the hippocampus to enhance the formation of episodic memory. Other neuromodulatory nuclei, such as the serotoninergic raphe nucleus (Li et al., 2013), noradrenergic locus ceruleus (Poschel, and
Ninteman FW, 1963), and different cholinergic nuclei (Blokland, 1996), are also sensitive to the valence of external cues and may play a role in gating memory encoding. This thesis will focus on the upward arm of the DA loop. I will review the relevant literature that supports the existence of the upward arm of the loop; that is, the evidence that VTA/SNpC DAergic projection to the hippocampus can influence CA1 in a way that would regulate learning.
The dopaminergic influence on the hippocampus has been tested from the molecular to behavioral level in a wide variety of preparations ranging from rodent to human. The literature reviewed below will stay focused on rodent studies as they are most relevant to the experiments discussed in the
21 thesis. However, it should be noted that mounting evidence points to the importance of DA signaling in healthy and impaired human episodic memory
(Chowdhury, 2012).
DA in the hippocampus: insight from anatomy
The influence of DA on the hippocampus has been met with some skepticism and many still doubt its ability to have a significant impact on hippocampal neurons and learning and memory. The controversy arises from a major discrepancy between physiology and anatomy, namely that the
DAergic axon pool from VTA is very sparse, despite the potent effects of exogenous receptor stimulation on cellular properties and behavior. However,
I will argue in the next section that there are at least two distinct sources of
DA in the hippocampus and a constellation of potent receptors. How the
DAergic sources can modulate the cellular physiology and behavior via this receptor system is not known, but the preponderance of indirect evidence suggest that the VTA/SNpC source of DA is an effective modulator of hippocampal memory and physiology. Moreover, it seems that acute DA release exerts its own effects, in addition to the basal action of DAergic tone.
Initially, the DA found in the hippocampus was thought to be a precursor along the biosynthetic pathway to norepinephrine (NE) in axons
22 from the locus coeruleus, which provides a strong input to hippocampus.
Since the conversion of DA to NE by the enzyme dopamine beta hydroxylase occurs in the synaptic vesicle, distinguishing a true DA releasing neuron from a noradrenergic one is quite difficult. Later, Scatton et al., 1980 confirmed that DA itself was released independently in the hippocampus. They lesioned known DA pools, the substantia nigra pars compacta (SNpC) and ventral tegmental area (VTA), and observed a significant reduction in DA levels in the hippocampus. Analogous noradrenergic locus coeruleus neuron lesions decreased NE proportionally more than DA, suggesting that there are independent sources of DA and NE.
Later, tracing studies combined with immunohistochemistry verified that the midbrain DA neurons in the VTA (A10), substantia nigra pars SNpC
(A9), and retrorubral field (A8) project axons to the hippocampus (Swanson et al., 1982, Gasbarri et al., 1994, Verney et al., 1985), of which the bulk originate in VTA and terminate in the CA1 subfield and subiculum. These detailed tracing studies found that CA1 is innervated by DA inputs along the entire septo-temporal axis of the hippocampus and subiculum, although there was a significant bias for the ventral side. Within CA1, the axons primarily ramify throughout the alveus and SO with a smattering in SP. In the more dorsal regions the fibers become even sparser and are confined to SO. In the most ventral pole, there are some fibers in SR and SLM.
Immunohistochemistry later replicated these results (Kwon et al., 2008).
23
sub CA1
SO
Figure 1.3. VTA axons course through the alveus SO border in CA1. They become more diffuse near subiculum. Verney et al., 1985. al = alveus, SO = stratum oriens, Sub = subiculum
The anatomical studies verify that true DA synthesizing axons originating from the midbrain DA neuron pool in VTA/SNpC are present in the hippocampus, but when compared to the striatum, the innervation pattern is still very modest. However, evidence from both cortex (Devoto et al., 2001; Devoto et al., 2005) and hippocampus (Smith and Greene, 2012) suggests that locus coeruleus axons, classically thought of as releasing NE exclusively, can co-release DA. In CA1 the locus coeruleus fiber tract primarily innervates the deeper layers of the hippocampus, SR and SLM, with a slight bias for SLM (Oleskevich et al, 1989). It seems then, that there
24 are two sources of DA in the hippocampus, one in SO originating from
VTA/SNpC and another in SLM originating from LC.
To understand the function of the DA modulatory system, it is therefore necessary to consider each axon source and the target receptors as a signaling unity. What is the function of the VTA/SNpC DAergic input to the hippocampus? What is the function of the LC NE/DAergic input? DA from the
VTA and SNpC axons in SO and SP likely has a different function than the
DA releasing LC axons in SR and SLM, considering that they are anatomically segregated and driven by distinct, although partially overlapping, behavioral conditions.
What is the specific function of the VTA/SNpC DAergic axon pool? Can
VTA/SNPC axons release sufficient DA to alter the cellular and circuit physiology of the hippocampus and influence learning and memory? This question has not been asked directly. However, to get an idea of how the DA receptor system might be recruited by the VTA/SNpC DAergic source we must survey the range of possible actions of DA in isolation.
All of the DA receptor types are expressed throughout the hippocampus. In CA1, the more prevalent D1-type receptor is the D5 receptor
(Ciliax, 2002; Gangarossa et al., 201, Khan et al., 1994), which is localized to cell bodies, dendritic shafts, and dendritic spines. Of the D2-types, D4 is most prevalent (Defagot et al., 1997) and present in cell bodies (Brouwer et al.,
1992; Goldsmith and Joyce, 1994). Cell type distribution of the different
25 receptors is equivocal. However, the literature from prefrontal cortex, whose
DA system is analogous to the hippocampus, suggests that both interneurons and pyramidal cells express D1- and D2-type receptors.
There is a wide diversity of DA receptors present in multiple cell types in the hippocampus. The DA receptor system is additionally complex because the same DA receptor could be coupled to different G-proteins depending on the cell type. Also, the D1- and D2-type receptors can form heteromers
(Verma et al., 2010) and signal synergistically.
VTA/SNpC DAergic input to CA1: function
The VTA/SNpC DAergic axons in the hippocampus are required for spatial memory performance. Selective VTA/SNPC DA axon degradation in the hippocampus induced by a focal infusion of 6-hydroxydopamine 6-OHDA, a toxin that is taken up by the DA transporters, impaired performance on the hippocampal dependent task, the Morris water maze (Gasbarri et al., 1996).
The Morris water maze tests spatial long-term reference memory by querying the animal’s ability to find a hidden platform in a small pool with a few salient visual cues (Morris, 1981). Since the noradrenergic fibers were protected by a norepinephrine transporter antagonist desipramine, only the
VTA/SNpC DA source was lesioned. Importantly, VTA/SNpC DA axon lesions neither impaired performance on a cued-version of the water maze, where the
26 animal had to learn to swim to a visibly cued platform, nor on a one-trial inhibitory avoidance task, indicating that spatial reference memory was impaired, specifically. Complementary experiments using VTA silencing with the GABA A agonist muscimol induced amnesia on the Barnes maze, a land- based version of the water maze (Nazari-Serenjeh et al., 2011). Therefore, intact VTA/SNpC DAergic axons are critical for hippocampal learning.
What is the function of these VTA SNpC DAergic axons? If they regulate memory in the hippocampus, then one would expect them to either modulate synaptic transmission, synaptic plasticity, or both, as these processes underlie the formation of new memories. Synaptic transmission produces the postsynaptic depolarization that is required to unblock the Mg 2+ from the NMDA receptor and trigger LTP. Thus, by globally enhancing or suppressing postsynaptic depolarization the threshold for inducing plasticity can be altered. LTP itself strengthens the synaptic weights that store the memory. Therefore, modulation of either of these processes would provide a pathway with which DA axons could plausibly affect memory processes.
VTA/SNpC DAergic input to CA1: synaptic transmission
Clues to how the VTA/SNpC DAergic input might modulate basal synaptic transmission come from studies using exogenous receptor
27 pharmacology either in-vivo or in the in-vitro slice preparation, or using in- vivo electrical stimulation of VTA neurons. The totality of in-vivo and in-vitro studies on the potential effects of DA on synaptic transmission does indicate that DA is a potent modulator of synaptic transmission in CA1. However, many of the studies contradict one another regarding the nature of the observed effects, likely because the receptor system in place is complex, potent, and perhaps suited for physiological engagement from two separate
DA sources.
Early VTA/SNpC stimulation studies in vivo raise the possibility that
DA may alter the efficacy of the synaptic drive from the SC (CA3 axon) pathway to CA1. In-vivo VTA and SNpC electrical stimulation decrease the
SC-evoked pop spike but leave the SC-evoked field PSP unchanged (Spencer and Wheal, 1990). The fact that there was only an effect on the pop spike and not the PSP suggests that the DA stimulation is affecting either CA1 cellular excitability through modulation of an ion channel in the CA1 neuron or on SC driven inhibitory influences that synapse on CA1. However, electrical stimulation neither can discriminate cell type nor determine whether the stimulation activated neurons within a given nucleus or fibers of passage. In a later study Spencer and Wheal, (1990) created an ibotenic acid lesion in the
VTA/SNpC, a toxin specific to somata, prior to the experiment. The SNpC effect was abolished, but the VTA effect remained, suggesting that perhaps the VTA effect was in fact due to stimulation of fibers of passage. However,
28 there was no pharmacology performed to identify the receptor involved.
Because VTA and SNpC contain mixed populations of neurons, it is not clear that DA mediates the effect of stimulation. Nonetheless, these findings do raise the possibility that the release of DA particularly from the VTA/SNpC originating axons can directly affect the input-output function of CA1 neurons.
Studies using the direct bath application of DA provide information as to how activation of distinct DA receptors regulates fast excitatory and inhibitory synaptic transmission in CA1 pyramidal neurons. In these experiments, DA is typically infused onto the slice via the perfusion medium, setting some unknown concentration (due to oxidation), relatively uniformly throughout the neuropil containing the intact circuit. The dominant result emerging from such studies is that DA acts primarily to suppress the PP
(cortico-CA1) input to SLM by reducing feedforward excitation through a
D1/D2 joint mechanism. In most of these studies, DA does not directly affect the SC input (Lisman et al., 1999; Ito and Schuman, 2papers; Marciani, 1984,
Gribkoff and Ashe, 1984), although Hsu, 1996 reported a depression of the SC response with a low DA concentration. These contradictory data suggest that
DA receptor systems are capable of having effects on both the PP and SC inputs to CA1. However, it is not clear whether PP, SC, neither, or both is targeted by VTA/SNpC mediated DA release.
29
As discussed above, tracing studies show that the VTA and SNpC
DAergic axons, primarily send their axons to SO of CA1 (Gasbarri et al.,
1994), which is several hundred m away from the stratum laconosum moleculare (SLM), the layer where the PP inputs form synapses onto CA1 pyramidal neurons. Thus, it is unlikely that any effect of DA on PP inputs to
CA1 could be driven by the VTA/SNpC DA input. Rather, it is more likely that any physiological action of DA receptor activation on the PP results from the influence of the locus coeruleus DA input to the hippocampus.
Specific receptor agonist experiments do show that both D1-type and
D2-type receptors can efficaciously regulate SC to CA1 synaptic transmission in some conditions. There are, as yet, no reports of experiments to test the actions of specific DA receptor agonists on PP to CA1 synaptic transmission.
Two studies found that agonist stimulation of the D1-type receptor potentiated the SC basal synaptic transmission in an NMDA receptor dependent manner via D1/D5 receptors (Huang and Kandel, 1995;
Navakkode, 2007), but a later study failed to observe this effect (Mockett et al., 2004). These inconsistencies likely speak to the complexity of examining the neuromodulatory system using exogenous agonists in in-vitro slice preparations. The slice preparation methods and concentrations of agonists used differ between the studies, which may have influenced signaling through the D1-type receptors.
30
D2-type agonists have been reported to exert a variety of effects on SC synaptic transmission. The pan D2 agonist has no direct impact on SC evoked synaptic transmission (Huang and Kandel, 1995). The D3 specific agonist, however, inhibits the SC-evoked feedforward IPSC (Hammad and Wagner,
2006; Swant and Wagner, 2008); this consequently enhances the depolarization of CA1 pyramidal neurons in response to SC stimulation. The
D4 agonist was reported to depotentiate SC synapses that have previously undergone LTP, but this study did not investigate changes in basal transmission (Kwon et al., 2008). In other brain areas, such as prefrontal cortex (Wang et al., 2002), thalamus, and globus pallidus (Shin et al., 2003), the D4 agonist downregulates inhibition by interacting indirectly with
GABA-A receptors. Immunohistochemistry and in-situ hybridization show that the D4 receptor is expressed in parvalbumin-expressing (PV+) interneurons in the hippocampus. These receptors may, then, regulate feedforward inhibition (Kwon et al., 2008).
To summarize, the studies using exogenous DA show that the PP input to CA1 neurons can be suppressed by DA bath application whereas the SC input can be suppressed by DA bath application or potentiated by D1/D5 agonist application. The D3 and D4 agonists may indirectly enhance or suppress the SC-mediated depolarization of CA1 PNs, respectively, through regulating synaptic inhibition. Since the locus coeruleus monaminergic axonal pool is aligned with the PP input in SLM, an area with very sparse
31 input from the VTA/SNpC, it is likely that the DA receptors in that layer are activated under physiological conditions by DA that is released from the LC terminals.
The SC excitatory axons form synapses in SR and in SO and the experiments discussed above focused largely on synaptic transmission in response to stimulation of the SC axons present in the SR. However, the vast majority of VTA/SNpC DAergic axons are found in SO, quite distant from SR.
Therefore, it is unclear whether the various effects of exogenous DA application on the SC synapses that have been reported in the literature are more relevant to the actions of LC-dependent versus VTA/SNpC-dependent
DA release. Support for a role for LC-mediated DA release in the hippocampus comes from the finding that an amphetamine-induced potentiation of the SC PSP (evoked by stimulation of SC axons in SR) via
D1/D5 receptors was not altered following depletion of DA in the VTA/SNpC, suggesting that the SC enhancements may result from the functional impact of DA released from LC axons (Smith and Greene, 2012). Moreover, direct
VTA/SNpC stimulation in-vivo (Spencer and Wheal, 1990) or bath application of low concentrations of DA in vitro (Hsu et al., 1996) result in suppressive effects on the SC-evoked excitation of CA1 neurons, suggesting that the primary role of VTA/SNpC mediated DA release may be to inhibit activation of CA1 by its SC inputs. These conflicting results clearly indicate the limitations of experiments using bath application of DA, and motivate my
32 experiments using an optogenetic approach to selectively trigger DA release from VTA/SNpC axons.
VTA/SNpC DAergic input to CA1: synaptic plasticity
In addition to directly affecting SC and PP synaptic transmission,
VTA/SNpC DA release could regulate memory by modulating ongoing synaptic plasticity processes. The data on the D1/D5 receptor show a consistent permissive and facilitative effect on SC LTP and learning and memory, though whether DA affects early (E) LTP versus late (L) LTP has been a matter of debate. Early LTP is activated by one or two rounds of brief tetanic stimulation of the SC inputs, lasts for 1-2 hours and does not require the synthesis of new proteins. Late LTP requires multiple rounds of SC tetanic stimulation (3-4), lasts for > 3 hours and depends on transcription and translation. Pharmacological and genetic analyses established that the D1- type receptor is necessary for LTP at the SC (CA3-CA1) synapse. Thus, the
D1-type antagonist SCH23390 abolishes tetanic stimulation induced L-LTP
(Huang and Kandel, 1995) and reduces E-LTP (Granado, 2008). D1-type agonists enhance only E-LTP (Otmakhova and Lisman, 1996).
The effect of D1/D5 receptor antagonists on SC LTP have been corroborated by genetic studies, where the DRD1 (the D1 gene) knockout blocks the induction of both E- and L-LTP (Granado, 2008) in-vitro and in
33 vivo (Ortiz et al., 2010). In the latter study, shRNA knockdown of the D1 receptor in CA1 impaired E-LTP and flattened the learning curve in both a spatial memory task and a hippocampal-dependent version of trace eye-blink conditioning. Ortiz et al., 2010 also measured field postsynaptic potentials during the trace conditioning evoked by SC stimulation. They observed that
D1 knockdown in the hippocampus diminished the progressive increase in synaptic strength that accompanies the development of the conditioning, linking the effect on synaptic plasticity directly to learning.
Additionally, spike timing dependent plasticity (STDP) at SC (CA3-
CA1) synapses, a form of plasticity related to E-LTP, does not develop in DA depleted slices, an effect that can be rescued with bath application of 20 M
DA and blocked with the D1-type antagonist (Edelmann and Lessman, 2013).
In hippocampal neuron cultures, DA extended the time window and reduced the threshold for STDP induction (Zhang et al., 2009). It has been suggested from these studies that DA signaling, acting primarily through the D1-type receptor, is a requirement for the induction of LTP at the SC synapse.
It is not completely understood as to how D1 receptors permit SC E- or
L-LTP. The current hypothesis for L-LTP is that the D1 receptor activates
PKA via the Gs signaling pathway, which leads to the phosphorylation of
CREB (Huang and Kandel, 1995), and subsequent synthesis and insertion of proteins that maintain plasticity, such as AMPA receptors (Smith et al.,
2005). Also, D1-type receptors can directly modulate the NMDA receptor
34 current (Varela, et al., 2009) and may control LTP induction through its action therein.
These studies of SC LTP reveal a strong dependence of plasticity on
DA signaling. However, it is still not clear if the effects observed on LTP described above using direct manipulations of the D1/D5 receptors captures an effect of VTA/SNpC DA signaling. As mentioned above, the DA axons primarily course through SO in the basal dendrites and the effects reported above largely focus on synaptic transmission and plasticity at the SC inputs onto the proximal apical dendrites of CA1 neurons in stratum radiatum. It is possible that DA, when released from axons in SO, diffuses to SR. Or, perhaps, these receptors may be activated under physiological conditions by
DA release from locus coeruleus axons.
Evidence that the VTA may be important for SC LTP comes from the finding that, in an anesthetized rat, silencing of the VTA with local perfusion of lidocaine right after induction of LTP through tetanic stimulation of the SC pathway transiently suppressed the expression of SC LTP (Ghanbarian and
Motamedi, 2012). This implies that some aspect of LTP expression requires activity in the VTA/SNpC, although whether this is mediated by DA release or release of some other transmitter present in this mid-brain region requires further investigation. Finally, it is not clear if DA signaling is merely permissive through ongoing DA tone due to tonic firing of DA neurons, or
35 whether acute signaling through DA release mediated by phasic firing of
DAergic neurons actively gates induction of LTP during learning.
VTA/SNpC DAergic input to CA1: memory
Is the VTA/SNpC DA system truly required for hippocampal- dependent memory storage? There is now abundant evidence that D1-type receptors are, indeed, required for spatial memory encoding and its maintenance. D1-type receptor antagonists infused into CA1 during the exposure of rats to an associative tastant-location learning paradigm weakened one trial taste-location associations (Bethus et al., 2010). Recall 24 hours later was severely impaired, whereas recall 30 minutes following the encoding of the memory was intact. Paired associates learned 24 hours prior to antagonist infusion were also still intact. This experiment suggests that
D1-type receptors throughout CA1 are specifically required during exposure to the to-be-remembered stimulus for the persistence of the engram for extended periods, but not for initial short-term memory. This time-dependent effect is reminiscent of the LTP results reported by Huang and Kandel, 1995, where D1-type antagonists blocked L-LTP but not E-LTP. However, since this experiment solely manipulated D1-type receptors in the hippocampus, the source of the DA for memory facilitation is ambiguous.
36
In an inhibitory avoidance task, a hippocampal-dependent contextual fear learning paradigm, D1-type receptors were necessary during maintenance 12 hours after the learning phase but were not required during or immediately after encoding (Rossato et al., 2009). In this same study, local tetrodotoxin (TTX) lesion of the VTA also impaired memory maintenance.
Together, the VTA/SNpC DAergic axon lesion (Gasbarri et al., 1996) and D1- type antagonist study on the inhibitory avoidance task (Rossato et al., 2009) suggest that VTA/SNpC DA is necessary for hippocampal spatial memory
(Gasbarri, et al., 1996) and consolidation of contextual associations (Rossato et al., 2009). However, it is remains unclear which axon pool activates the
D1-type receptor required for encoding (Bethus, 2010) the paired associate as in that experiment only D1/D5 antagonist infusion into the hippocampus was used to assess the function of DA.
The possible recruitment of D2 receptors by DA released from VTA
SNpC in the service of learning has not been less extensively studied, although the D2 receptors in the hippocampus are potent regulators of learning. The wide array of effects observed makes it difficult to predict how these receptors might function in physiological conditions with DA release from VTA/SNpC axons. D2-type receptor stimulation, depending on conditions, has been reported to either facilitate or impair learning. D2-type antagonist administration to the hippocampus impaired (Wilkerson and
Levin, 1999) spatial working memory, suggesting a facilitative role for D2-
37 type receptors. However, in the passive avoidance task neither a D2-type pan antagonist nor a D1-type antagonist affected memory (Nazari-Serenjeh et al.,
2011). In contrast, amnesia could be induced by infusing muscimol into the
VTA in that same task (Nazari-Serenjeh et al., 2011). In this situation, the
D2-type antagonist applied to the hippocampus restored memory (Nazari-
Serenjeh et al., 2011). These latter results suggest that in the absence of
VTA/SNpC signaling D2-type receptors are actively suppressing memory.
One possibility is that it is DA released from LC axons that activates the D2 receptors to constrain memory performance. Alternatively, since VTA/SNpC
DA tone in the hippocampus was likely reduced by muscimol infusion, it may be that a residual low level of DA release from VTA/SNpC axons is particularly effective in activating those D2-type receptors that are coupled to the suppression of memory encoding.
In more specific receptor activation experiments, a D2 agonist applied to the hippocampus enhanced spatial working memory performance
(Wilkerson and Levin, 1999). Interestingly, in this experiment the D1-type antagonist SCH23390 had no effect on learning. Another study found that the D2 agonist could also ameliorate spatial memory impairment induced by the muscarinic antagonist, scopolamine (Fujishiro et al., 2005). In summary, the data is reasonably consistent with D2 having a facilitative role, at least in control conditions. In most studies there is little data as to whether these receptors may be recruited by VTA/SNpC or LC monaminergic fibers.
38
However, the finding that the D2 receptor signaling profile changes following blockade of VTA/SNpC signaling (Nazari-Serenjeh et al., 2011) is consistent with distinct roles of D2 receptor activation in response to DA release from its two neural sources within the hippocampus.
Aims of this thesis
To summarize briefly, DA has three well-established effects on hippocampal physiology. First, it suppresses the basal synaptic transmission from PP axons (originating in EC layer 3) to CA1 pyramidal neurons via D1- type and D2 receptors (Otmakhova and Lisman, 1999). Second, DA is permissive for the induction of different forms of LTP through its action on
D1-type receptors. Third, DA acts as a gate on long-term memory storage through activation of D1-type and possibly D2-type receptors in CA1 in several different types of memory tasks. From these data it has been hypothesized that salient stimuli drive phasic firing of DA neurons, which then facilitates LTP in the SC mnemonic input to CA1 while simultaneously blocking the direct sensory representation carried by PP input (Grace and
Lisman, 2005). Consistent with this view the D1/D5 antagonist also impairs the stabilization of place fields in CA1 over time (Kentros et al., 2004). In this way, DA neurons in the VTA/SNpC that fire in response to saliency can aid in
39 facilitating encoding of the information that preceded the saliency signal and prevent interference from the ongoing sensory representation.
However, this model considers the entire DA receptor landscape to be a target of the VTA/SNpC. In fact, there are likely two separate pools of
DAergic axons projecting to the hippocampus, one originating in the
VTA/SNpC, the other in the LC, so that two separate modulatory neural pathways will likely activate the DA receptor system in distinct layers of the hippocampus. It is clear that the VTA/SNpC DA axons in the hippocampus are critical for hippocampal learning processes (Gasbarri, 2006). Yet, that does not preclude the LC DA signal from having a strong physiological role.
DA and specific receptor agonist bath application studies can only infer the underlying mechanisms for the function of those axons in learning processes under the assumption that all of the receptors expressed are ordinarily activated by a single axonal pool of modulatory inputs.
It seems from the evidence provided above that this is not the case.
Rather, it is probable that in distinct behavioral conditions, DA will be released from LC and VTA/SNpC and each will activate its own coupled receptor profile to exert a unique range of effects. The agonist and antagonist studies do not distinguish between receptors that would be activated by one modulatory pathway versus the other. And, since the VTA/SNpC and LC fire in different conditions, the receptor profile must be linked to its afferent partner to construct a model for neuromodulatory control of memory.
40
Therefore, a circuit-based approach is needed for understanding how and when separate saliency signals, despite their potential use of a common transmitter, are projected to the hippocampus to regulate memory storage.
In this thesis I use such a circuit-based approach to analyze selectively the effects of DA release from VTA/SNpC axons located within the hippocampus on synaptic transmission from both PP and SC inputs onto CA1 pyramidal neurons and interneurons. To account for the constraints set by the VTA/SNpC axonal anatomy in time and space, I turned to optogenetic tools. These allow for the controlled release of endogenous DA from the impinging genetically defined axons originating from the VTA and SNpC.
First, I confirmed that bath application of DA reduced the PP-evoked
PSPs and left the SC PSPs intact in CA1 pyramidal cells, replicating previous findings (Otmakhova and Lisman, 1999; Ito and Schuman, 2007). Second, I utilized optogenetic tools (Boyden et al., 2005) to selectively stimulate
VTA/SNpC DAergic axons in CA1 to define how this particular modulatory input affects both excitatory and inhibitory synaptic transmission. I found that VTA/SNpC stimulation with a single brief light train (3 pulses at 66 Hz) activates D2-type receptors to produce a long-lasting suppression of the SC depolarizing postsynaptic potential (PSP) in the CA1 pyramidal neurons, with no change in the PP PSP, the opposite pattern of the results with bath application of DA. This suppression results from an increase in the amount of feedforward inhibition activated by the SC afferents. I further found that this
41 increased inhibition was selectively mediated by an increased excitation of the PV+ population of interneuron by their SC inputs. Finally, more prolonged light burst protocols consisting of 25 bursts applied at 1 Hz, a protocol that approximates the phasic firing of DA neurons during an animal’s foraging for rewards (Wang et al., 2011), potentiates the SC PSP through a direct presynaptic modulation of the SC input onto the CA1 pyramidal neurons. Thus, distinct patterns of activity of VTA/SNpC DAergic neurons will produce a bidirectional modulation of CA1 synaptic excitation that can alter synaptic plasticity rules in accordance with task demands and thereby aid in economical memory formation.
42
Chapter 2
Introduction
The DA system is one of the most powerful modulatory systems in the brain.
In its projection regions, it can alter cellular, circuit, and network properties, as well as behavior. In the standard model of neuromodulatory function, the central signaling apparatus is the total overall receptor output, given some concentration of agonist. The anatomy of the DA system in the hippocampus does not conform to this model. DA is likely released onto the CA1 subfield of the hippocampus from two segregated populations of axons. One emerges from VTA/SNpC, the other from LC. How might DAergic signals from the
VTA/SNpC neurons that are known to encode salience influence synaptic transmission in the hippocampus?
CA1 pyramidal neurons are the only major glutamatergic output of the hippocampus. CA1 receives excitatory glutamatergic input from two major sources, the PP axons that originate in entorhinal cortex and the SC axons that originate in CA3. The entorhinal cortex neurons in layer 3 are tuned to sensory features of the environment (Vinagrodova, 1984) and provide contextual information into CA1 directly, in addition to a “spatial metric”
(Buzsaki and Moser, 2013). CA3, on the other hand, carries the mnemonic
43 representation that that same context has generated via the tri-synaptic pathway. When information arrives to CA1 from the PP or SC axons, it can only leave the hippocampus and go on to drive entorhinal cortex if the depolarization resulting from synaptic transmission causes the CA1 membrane to reach action potential threshold. Also LTP, the best-established substrate for learning, is triggered by a depolarization of the post-synaptic membrane that is sufficient to relieve the magnesium block of the NMDA receptor and conduct Ca 2+ . Therefore, the relative synaptic strengths of the
PP and SC pathways determine which type of information will dominate hippocampal output, and consequently, which ones will induce LTP.
Anatomically, it seems like the DAergic input from VTA/SNpC is more aligned with the SC input from CA3 as its axons course through SO and SP of
CA1. The LC axons run throughout the hippocampus, but are most dense in
SLM, where the PP axons form synapses on the CA1 apical tuft dendrite and onto GABAergic interneurons. The influence of the VTA/SNpC DAergic neurons on synaptic transmission in CA1 has been studied either by applying exogenous agonists or by electrically stimulating VTA and SNpC directly, a mixed pool of neurons and fibers of passage. But, since DA is likely released from two distinct pools, exogenous application artificially activates receptors and likely conflates physiologically independent signaling channels. The effect of VTA/SNpC stimulation itself could reflect the activation of a mixed population of DAergic, glutamatergic, and GABAergic projection neurons.
44
These studies reveal the range of possible actions of DA. However, some of these are anatomically improbable, arguing for the necessity of taking an afferent-based approach to modulatory signaling. Whether VTA/SNpC DA release can effect one or several of these actions is still a matter of speculation.
DA bath application has an input specific effect. It reduces the PP- evoked synaptic depolarization of CA1 and leaves the SC-evoked depolarization intact (Otmakhova and Lisman, 1999; Ito and Schuman, 2007;
2012). Though DAergic terminals can appose GABAergic interneurons (Carr and Sesack, 1996), this effect did not require inhibition. Rather, exogenously applied DA directly suppressed the PP’s glutamatergic depolarization of CA1 in the apical dendrite (Figure X, C) and did so in a dose dependent manner, as the effect increased as the concentrations of DA increased from .5 uM up to
100 M (Figure X, B), where it saturated. This effect requires both D1 and
D2 receptors (Otmakhova and Lisman, 1999). From these data the authors hypothesize that the input specific suppression of the PP by DA might aid in
CA1’s ability to select the mnemonic output of CA3 over the online contextual representation from the entorhinal cortex. The exposed context that preceded the DA release would be favorably stored within the CA3-CA1 network, perhaps due to less interference from the PP synaptic input.
45
SC
Figure 2.1: The effect of DA on synaptic transmission in the hippocampus is unclear.
46
Figure 2.1: The effect of DA on synaptic transmission in the hippocampus is unclear. A. CA1 neurons receive glutamatergic inputs from the Schaffer Collateral (SC) axons in stratum radiatum (SR) and from the Perforant Path (PP) axons in stratum laconosum moleculare (SLM). Both of these inputs are shaped by powerful inhibitory interneurons (shown in red). Stimulating electrodes Ire placed in both layers to evoke action potentials and subsequent synaptic transmission. B. DA suppresses the PP evoked field PSP by 50%, whereas the SC evoked field PSP is reduced by
10%. Adapted from Otmakhova and Lisman, 1999. C. The effect of DA is on feedforward excitation as it does not change in the presence of blockers of inhibition. D. SC PSP is reduced by DA. Adapted from Hsu, 1996.
47
However, Hsu (1996) reports that DA suppresses the SC input, not the
PP (Figure X.) and Gribkoff and Ashe (1984) found a minimal effect on the
SC PSP, but found that millimolar concentrations produced a long lasting potentiation of the SC evoked population spike in extracellular recordings from the CA1 pyramidal layer. Gribkoff and Ashe (1984) used higher concentrations, into the milliMolar range, while the others used nano and microMolar range concentrations. Hsu (1996), who observed that DA depress the SC-evoked depolarization measured the synaptic input using whole cell recordings, whereas the others measured field potentials from the dendritic region within SR and SLM, where the SC and PP synapses are formed, respectively.
Nevertheless, in these exogenous DA application experiments, the volume and concentration of neurotransmitter are set arbitrarily, which results in the impartial activation of DA receptors. In the physiological scenario, the DA receptors are linked to a particular afferent pool with its own firing properties. It remains unclear, therefore, how the VTA/SNpC axons innervating the hippocampus stimulate receptor signaling and alter neuronal output and learning and memory.
Therefore, in order to respect the constraints set by the axonal anatomy and enzymatic machinery, I optogenetically manipulated viable
DAergic VTA/SNpC inputs to CA1, in-vitro. The main advantage of optogenetics is that it provides cell-type and temporal specificity to neuron
48 control (Boyden et al., 2005). The light activated protein channelrhodopsin2
(ChR2) can be expressed in a genetically identified neuron type of choice.
And then, in that neuron, light will gate the channel and produce an inward mixed cation current. Optogenetically driven axons in the slice can release neurotransmitter with high temporal precision. A brief pulse of 470nm light can reliably gate a ChR2 conductance, produce a rapid depolarization of the membrane to threshold, and generate action potential triggered exocytosis
(sensitive to TTX) in severed axons present in slices (Cruikshank et al.,
2010). This method has been used to drive action potential firing in DAergic neurons in the VTA at the soma; the kinetics of the channel are fast enough to capture tonic and phasic (Figure 2.2) modes of firing (Tsai et al., 2009).
Optogenetic control of DA neurons allows us to ask how the VTA/SNpC DA signal alters SC and PP synaptic transmission to CA1 in an in-vitro slice preparation with greater clarity.
49
Figure 2.2. ChR2 guided spikes in a VTA DA neuron.
Adapted from Tsai et al., 2009
50
Results
The goal of my experiments is to compare the effects of DA when applied through the bath solution with the effects of DA released by optogenetic activation of VTA/SNpC axons in the hippocampal slice preparation. First, I repeated the bath application experiments to insure that results in mouse brain slices are analogous to those in rat slices used in the aforementioned synaptic transmission experiments. I prepared acute transverse sections of the hippocampus using a horizontal slice angle (shifted
12 degrees from the true horizontal axis) in order to preserve the intrinsic circuitry of the hippocampus: the PP inputs and trisynaptic loop. I then used whole cell current clamp recordings from CA1 pyramidal neurons to measure evoked synaptic potentials in response to electrical stimulation of the SC and
PP input pathways using bipolar stimulating electrodes placed in SR and
SLM, respectively (Figure 2.3).
Identified pyramidal neurons exhibited PP and SC synaptic potential waveforms consistent with the literature. SLM stimulation of the PP axon bundle evoked a depolarizing postsynaptic potential (PSP) followed by a strongly hyperpolarizing response, due to powerful feedforward inhibition. SR stimulation of the SC axon bundle evoked a larger depolarization and smaller inhibition. The PP and SC stimulating pulses were each applied at a 900 ms
51 interval to prevent cross-input contamination (Remondes and Schuman,
2002).
After establishing a baseline measure of the PSP, I bath-applied 20 M
DA. As has been shown in previous experiments in rat (Otmakhova and
Lisman, 1999; Ito and Schuman, 2007; Ito and Schuman, 2009), 20 M DA applied in the perfusion medium reduced the peak PP-evoked synaptic depolarization of CA1 PNs to 45% +-11% of baseline (n = 4, p = .01, paired t- test; Figure 2.3). In contrast, DA had no effect on mean SC-evoked depolarization (96% +-12% of baseline, n = 9, p = .59, paired t-test; Figure
2.3). Note that there was a greater degree of variability in the effect of DA on the SC-evoked response in individual experiments compared to the consistent depression of the PP-evoked PSP despite there being no net change in the mean SC PSP (Figure 2.3). For more detailed methods, see Chapter 5.
52
PP 2.5 SC e
d 20 M DA 2.0 u
t i
l 2.0 p m
a 1.5
P 1.5 S P
d 1.0
e 1.0 z i l a m 0.5 r 0.5 o n DA+ 0.0
0.0 ) .
-5 0 5 10 15 20 n
DA- i m
Time (minutes) 0 1 (
C S PP PP (10min.)
Figure 2.3. A. 20 µM DA suppresses the PP peak PSP and leaves the
SC peak PSP unchanged.
53
Figure 2.3. A. 20 µM DA suppresses the PP peak PSP and leaves the
SC peak PSP unchanged. Top panel,electrode configuration. Bottom panel, left, circles represent the PSP amplitude normalized to the average of the baseline 5 minutes prior to drug application and averaged across 3 time points. B, Top, dark trace shows SC-evoked PSP before DA application. Light trace shows SC PSP 10 minutes after DA application. Bottom, dark trace shows PP PSP prior to DA application. Light trace shows PP PSP 10 minutes after DA application. Representative traces are averages taken from the time period prior to drug application and 10 minutes post application from an experiment characteristic of the population mean. Right, population data for all cells showing fold change in peak SC and PP PSP amplitude following DA application (normalized to PSP prior to DA).
54
Bath application of DA in the perfusion medium creates a uniform concentration of DA in the slice and activates whatever constellation of DA receptors is present. To ask how the VTA/SNpC DAergic input alters hippocampal synaptic transmission, I utilized optogenetic tools to drive action potentials in the VTA/SNpC DA neurons’ axons present in CA1, and thereby recapitulate the in-vivo response to activity in the VTA/SNpC-CA1 circuit under in-vitro conditions.
To express ChR2 in the DA neurons alone, I used a viral strategy combined with mouse genetics to target the ChR2 protein to the DA neurons of VTA and SNpC. I used the TH-Cre driver line (Jackson labs, 008601,
Savitt et al., 2005), which expresses the Cre recombinase enzyme under the control of the tyrosine hydroxylase (TH) promoter. Tyrosine hydroxylase is an enzyme in the biosynthetic pathway for DA, NE, and epinephrine and so all neurons in the brain that synthesize these molecules will express Cre. I gained functional control over the VTA/SnPC DA neurons by stereotactically delivering into the midbrain (figure 2.4 A) a Cre recombinase inducible adeno-associated viral vector (AAV) carrying the gene encoding the ChR2-
EYFP fusion protein within a double-floxed inverted open reading frame
(Atasoy et al., 2008), wherein the ChR2-EYFP gene construct is present in the anti-sense orientation. Cre recombinase flips the orientation of ChR2-
EYFP , thereby enabling its continuous expression under the strong and ubiquitous EF-1α promoter.
55
Since the Cre is under transcriptional control of the tyrosine hydroxylase promoter it is restricted to monoaminergic neurons. The restricted spread of the stereotactically injected virus keeps the noradrenergic neurons from becoming transduced. Neurons across the extent of VTA and SNpC were infected as indicated by YFP fluorescence and positive co-staining for the monoamine neuron marker, the enzyme TH
(Figure 2.4 B and C). These neurons projected to the hippocampus (Figure
2.5).
The majority of VTA/SNpC axons primarily course through SO of the
CA1 region and stained positively for tyrosine hydroxylase (Figure 2.5A and
B), as has been reported by previous anatomical tracing and immunohistochemistry experiments (Verney et al., 1985; Kwon et al., 2008;
Gasbarri et al. 1994). There are also a few axons in SP in some areas, but this was inconsistent (figure 2.5 A and B). I saw few if any axons that reached SR and none in SLM.
In contrast to results with bath application of DA, stimulation of the
VTA/SNpC axons with a brief light flash suppressed the SC-evoked PSP.
Similar to the bath application experiments,I recorded from CA1 PNs in acute hippocampal transverse slices using the whole cell current clamp configuration and evoked postsynaptic potentials (PSPs) by electrically stimulating PP and SC input pathways. After recording PSPs for xx min to establish a baseline level response, the slice was exposed to full field 470 nm
56
Figure 2.4. YFP fluorescence and TH staining in the midbrain. A.
Midbrain VTA and SNpC dopamine areas of a Th -Cre transgenic mice were infected with ChR2-EYFP with an AAV packaged with a flexed EF1 α::ChR2-
YFP construct. B. Confocal 5x image of ChR2 -EYFP fluoresc ence signal
(green) in the ventral tegmental area (VTA) and substantia nigra (SNpC) of the midbrain of TH-Cre mice injected with flexed EF1 α::ChR2-YFP AAV. C.
20x magnification image of the VTA neurons infected with ChR2 -EYFP
(green) and stained for TH (re d).
57
Figure 2.5. YFP fluorescence and TH staining in the CA1 field of the hippocampus. A. An example image taken from a slice of a TH -Cre mouse that had been injected in its midbrain with the rAAV (EF1a::DIO - hChR2(H134R)-EYFP-WPRE -hGH) . Hippocampal slices were obtained from the brains of these mice for electrophysiological recordings. 20X confocal images were taken from slices After recordings slices were post -fixed in PFA labeled with an anti-GFP antibody, and then stained with a secon dary ab.
Green- anti-GFP ab fluorescence. Blue -DAPI counterstain. B. Another example.
58
illumination using a single, brief burst of light flashes (3 pulses each with a 5 ms duration delivered at a 15 ms interpulse interval) (figure 2.6 A).
The light burst did not have any immediate effect on the resting membrane potential (Vm) (figure 2.6 A), suggesting that these axons did not release neurotransmitters that caused significant activation of ionotropic glutamate or GABA receptors on the CA1 neuron, although glutamate and
GABA have been found to be co-released with DA in other brain areas (Sulzer et al., 1998; Tritsch et al., 2012). The light pulse protocol also failed to produce any slow change in input resistance over the course of 20 minutes
(figure 2.6 B), suggesting that DA did not modulate ion channels that contribute to the resting properties of the CA1 pyramidal neuron soma.
59
Figure 2.6. Unitary light burst protocol did not affect input resistance A. Schematic of the unitary burst light pro tocol, which consisted of 3 pulses (5 ms each) given at 66 Hz. 470 nm flashes of light were delivered using an LED focused through a 40x objective to achieve “full field illumination”. The resting Vm did not exhibit any changes during the light stimulati on. B. Input resistance stayed constant over the course of the experiment. Pre = five minutes prior to the light burst protocol administration. Post = 15 minutes following light protocol administration.
60
The single light burst produced a remarkably long-lived suppression of the SC evoked depolarizing component of the PSP in CA1 pyramidal neurons to 42 +- 9% of baseline (n = 11, p =.0001, paired t-test; figure 2.7) after 10 to
15 minutes. The effect took five minutes to set in and then continued to increase until the PSP reached a stable level 15 minutes following light stimulation. The PSP did not return to initial baseline level for as long as the recordings lasted (up to xxx min). In contrast, the PP evoked PSP was unaffected by the light pulses (111 +-13% of baseline, n = 10, p = .42, paired t- test; Figure 2.7), indicating that the suppression did not result from a degradation of slice health or recording quality. The effect size scaled with light intensity (Figure X) and lasted for the entire 20-minute recording period. This inhibitory effect on the depolarization of the soma is input specific, like the effect of bath application, but it shows the opposite input profile.
61
A
B C D
Figure 2.7. Photostimulation of the VTA/SNpC DAergic afferents suppresses the SC synaptic depolarization of CA1 and spares the PP .
62
Figure 2.7. Photostimulation of the VTA/SNpC DAergic afferents suppresses the SC synaptic depolarization of CA1 and spares the PP .
A. Electrode configuration for measuring evoked synaptic potentials along the
PP and SC pathways. B. Blue arrow indicates the time point at which the unitary burst protocol was administered. Each circle is an average of 3 trial
PSP amplitudes. Blue circles represent PP PSP amplitudes normalized to average of the baseline (N = 7). Black circles represent normalized SC PSP amplitudes (N = 12). Error bars indicate the standard error of the mean. Only neurons in which PP stimulation elicited an early net depolarizing PSP were included. C. SC evoked PSP waveforms before (black trace) and after (gray trace) photostimulation. Minus symbol demarcates the baseline PSP waveform. Plus symbol demarcates the PSP waveform following photostimulation. PP synaptic potentials before (dark blue trace) and after
(aqua trace) photostimulation. D. Distribution of normalized PSPs 10 minutes following photostimulation for both SC and PP PSPs.
VTA/SNpC stimulation releases DA and activates the D4
receptor to suppress the the SC excitation of CA1
How does the stimulation of TH+ VTA/SNpC axons alter synaptic transmission along the SC pathway to CA1 pyramidal neurons? What
63 neurotransmitter system and receptor accounts for the suppression of the SC- evoked depolarization? I applied a battery of pharmacological agents to determine the receptor responsible for the suppressive effect. When the selective D2-type and D1-type antagonists, haloperidol (2 M) and SCH23390
(20 M), respectively, were included in the perfusion medium, the effect of photostimulation on the SC PSP was abolished (116 +- 15% of baseline, n = 5, p = .456, paired t-test; Fig. 2 B 3), suggesting that VTA/SNpC stimulation via brief optogenetic depolarization releases DA to activate D1-type or D2-type receptors.
Blockade of only D1-type receptors with SCH23390 (20 M) failed to block the ability of photostimulation of VTA/SNpC axons to suppress the SC- evoked PSP, which was reduced (by or to) 58 +-5% of its baseline level (n = 5, p = .005, paired t-test, Fig. 2, B 1), similar to the photostimulation response in the absence of the D1 antagonist. In contrast, application of the D2-type receptor antagonist haloperidol (2 M) fully blocked the effect of photostimulation to reduce the SC-evoked PSP, which was equal to 114 +-
26% of its initial baseline level (n = 6, p = .365, paired t-test; Fig. 2, B 3). This suggests that photostimulation of TH+ fibers suppresses the SC depolarization of CA1 neurons by releasing sufficient neurotransmitter to activate D2 type receptors.
Haloperidol has high affinity (Ki < 10 nM) for all three D2 receptor subtypes (Seeman and Von Tol, 1994). Therefore, the above experiment
64 cannot distinguish between D2 subtypes. Since the D4 receptor is the most ubiquitously expressed D2-type receptor in the hippocampus (Defagot, 1994),
I examined its importance using the specific D4 receptor subtype antagonist
L745,870 (200 nM). Selective D4 receptor blockade completely abolished the effect of photostimulation (Figure 2.8D), suggesting that DA released by
VTA/SNpC axons activates the D4 receptor to suppress the SC depolarization of CA1. However, I cannot completely rule out the possibility that photostimulation of VTA/SNpC axons release a neurotransmitter other than
DA that acts as an agonist for the D4 receptor.
65
Figure 2.8 . Optogenetic stimulation of VTA fibers reduces SC depolarization of CA1 by activating D2 -type receptors.
66
Figure 2.8 . Optogenetic stimulation of VTA fibers reduces SC depolarization of CA1 by activating D2-type receptors.
A) Electrode configuration and relevant circuit diagram.
B) SC synaptic potentials waveforms before (black traces) and after (gray traces) light protocol. B 1) Representative traces of photorelease effects in the presence of D1/D5 antagonist SCH23390 (20 M; vertical scale bar, 4mV; horizontal scale bar 20ms), B 2), D2/D3/D4 antagonist haloperidol (20 M), vertical scale bar, 1mV; horizontal scale bar, 20ms, and B 3) both drugs
(vertical scale bar, 4mV; horizontal scale bar, 20 ms. C) PSP amplitudes measured over time. D) D1+ D2 antagonists (N = 5, paired t-test, P = .45).
Haloperidol (N = 6, paired t-test, P = .36). SCH23390 (N = 5; paired t-test, P =
.005). NE is a noradrenergic receptor antagonist cocktail consisting of 5 M proporanolol, 10 M prazosin, and 10 M yohimbine (N = 4; paired t-test, P =
.03).
67
Discussion
My experiments demonstrate that brief stimulation of the VTA/SNpC pool of
DAergic axons suppresses the SC depolarization of CA1 PNs through activation of the D4 receptor. This runs counter to the standard model, which posits, based on bath application of DA, that the VTA/SNpC DAergic input suppresses the SC-evoked depolarization of CA1 and leaves the SC-evoked- depolarization intact. Other effects have been observed, weakening this model, such as Hsu (1996), who reported that DA suppresses the PP-evoked synaptic depolarization, but the most consistent effect, and the one that I replicated in my own experiments, is that bath-applied DA does indeed suppress the PP-evoked depolarizing PSP recorded in CA1 pyramidal neurons (Otmakhova and Lisman, 1999; Ito and Schuman, 2007; 2011).
Hsu (1996) measured the SC synaptic input with whole cell recording, while Ito and Schuman (2007) and Otmakhova and Lisman (1999) measured the field EPSP. PSPs measured in whole cell recordings are more sensitive to changes in somatic inhibition compared to field potentials, which are dominated by local synaptic currents. If the effect of DA on the SC PSP is driven by alterations in inhibition onto the CA1 pyramidal cell soma, then only the whole-cell measurements would capture it. Also, the whole-cell recording procedure involves dialyzing the cell with an artificial cytosolic pipette solution. This could have altered key signaling molecules and
68 disrupted the DA receptor function. However, my experiments using whole- cell recording match the results obtained from field potentials (Otmakhova and Lisman, 1999).
The standard model attempts to fit the suppressive effect of DA on the
PP PSP to the facilitative role that the VTA/SNpC axons and the DA receptors have on memory (Grace and Lisman, 2005). It is argued that the saliency signal from VTA/SNpC neurons suppresses the contextual sensory
PP input to CA1, resulting in the boosting of the CA3 mnemonic input to
CA1. Thus, when salient stimuli emerge from the environment, they can induce more efficient plasticity at the SC CA3-CA1 synapses and thereby aid in memory encoding. However, this view operates under the assumption that effects with bath-applied DA provide a reasonable approximation to the effect of the physiological engagement of the VTA/SNpC DAergic input.
I find, in contrast, that optogenetically guided VTA/SNpC stimulation, using just three brief pulses of light, releases DA in a way that leads to a long-lasting suppression of the SC synaptic input to CA1 and leaves the PP synaptic input unchanged. This very modest stimulation protocol is nonetheless able to activate the relatively high affinity D4 receptor (Seeman and Van Tol, 1994), which I find underlies the suppressive effect on the SC
PSP. The D1-type receptor seems not to be involved. Thus, at low levels of activity, the VTA/SNpC axon suppresses the strength of the overall synaptic excitation from CA3 to CA1 via the SC pathway.
69
Noradrenergic neurons also express TH and the D4 receptor does have some affinity for NE, albeit 50 fold lower than for DA (Newman-Tancredi et al., 1997). It remains possible, then, that the light evoked effects are due to release of NE from LC axons. This was not the case as the suppression of the
SC-evoked synaptic depolarization persisted in the presence of a cocktail of alpha and beta antagonists: prazosin, yohimbine, and propranolol (49 +-6% of baseline, n = 3, p = .03, paired t-test; Figure 2.8D). The most parsimonious explanation for these data is that a few action potentials in the pool of
VTA/SNpC DAergic axons in SO of CA1 releases sufficient DA to activate D4 receptors in proximity and these D4 receptors suppresses the SC synaptic depolarization of CA1. VTA/SNpC axons, while sparse in number, exert a powerful input specific inhibitory effect on the transfer of information from
CA3 to CA1, while leaving the PP synaptic input intact.
The PP and SC axons have different functions. Their inputs are segregated along the dendritic tree of CA1 PNs, where the PP axons synapse on the apical tuft dendrites in SLM and the SC axons synapse on the oblique proximal dendrites in SR. Corresponding to the input segregation, the dendritic structure compartmentalizes into molecularly segmented regions with distinct electrical properties (Lorincz et al., 2002; Tsay, 2007) in SR and
SLM. The fact that these inputs are modulated differentially by DA release from VTA/SNpC axons gives these pathways an additional layer of independent modulation.
70
Fittingly, the PP and SC subserve distinct aspects of learning and memory. PP axon lesions cause profound memory consolidation deficits and altered place cell tuning (Remondes and Schuman, 2004; Brun et al., 2008.)
Genetic lesion of the medial PP impairs trace fear conditioning (Suh et al.,
2011). On the other hand, novelty based memory effects are more reliant on the SC input (Nakashiba, 2008). Genetic lesion of the SC pathway through tetanus toxin expression in CA3 neurons did not impair spatial memory on the water maze, but did significantly diminish one trial fear-conditioning in a novel context (Nakashiba et al., 2008). Place fields in a novel context were much more diffuse in the CA3-lesioned mice and the network was generally overly excitable. Interestingly, the SC lesion did not impair one-trial fear conditioning in a familiar context. CA3, then, is critical for forming memories in novel environments. The VTA/SNpC neurons fire phasically to novel stimuli and therefore may produce an “iceberg effect”, setting the threshold for memory storage, whereby global network suppression allows only those
CA1 neurons that receive the strongest presynaptic input to reach threshold and participate in memory encoding.
What accounts for the difference between exogenous DA application and VTA/SNpC release of DA? Our bath application experiments, which also show the PP suppression, confirm that this is not due to species differences between rat and mouse. The most likely explanation for the discrepancy is anatomical. The PP inputs in SLM are hundreds of microns away from where
71 the VTA/SNpC DAergic axons ramify in stratum oriens (SO). Although this indicates that the receptors predicted to be present in SLM are capable of influencing the circuit, because of their distance from the axons, it is unlikely that these receptors are activated by VTA/SNpC released DA within a physiological range of activity. Indeed the distance of SO from SLM is generally considered to be outside the bounds of the DA diffusion radius, which has been estimated to be between 10 m (Cragg et al., 2001) and 50 m
(Fuxe, 2010). It is much more likely for VTA/SNpC DAergic axons to modulate targets within this diffusional range, including the commissural excitatory SC inputs to CA1, located in SO, and local inhibitory interneurons within SO and SP that participate in feedforward and feedback inhibition.
Whereas the lack of effect of optogenetic release of DA from VTA/SNpC terminals on PP-evoked PSPs can be accounted for by the underlying anatomy, it is less clear why bath applied DA fails to recapitulate the effect I observe with optogenetic release of DA to suppress the SC PSP. In fact, Hsu
(1996) did report a DA-induced suppression of the SC PSP that was mediated by D2-type receptors. Hsu (1996) used a lower DA concentration, 0.1 – 1 M, compared to the usual concentration of 20 M. However, Otmakhova and
Lisman (1999) did assess the action of DA concentrations as low as 1 M, and failed to observe any effect on the SC-evoked field PSP. It seems then, that if the suppressive effect on the SC-evoked synaptic depolarization by
VTA/SNpC DA in our experiments is similar to the effect observed by Hsu
72
(1996), it may require a low concentration of DA and may only be observed in whole-cell recording conditions. At the standard concentration of 20 M, the
D4 receptor signaling may desensitize or trigger parallel facilitative effects on the PSP.
What are the DA receptors doing in SLM if the DA released from
VTA/SNpC axons cannot activate them? These receptors are clearly functional as they strongly suppress the PP-evoked PSP. If they are not normally activated by input from VTA/SNpC neurons, what is the source of transmitter that engages these receptors in vivo? There are several possibilities. First, the DA receptors in SLM may show a low but measurable degree of spontaneous activity in the absence of ligand, resulting in weak activation of downstream G protein signaling pathways that would serve to maintain a slightly depressed basal synaptic state. Second, the receptors in
SLM may be activated under physiological conditions by NE released from locus coeruleus axons that course through SLM. Third, based on evidence from amphetamine application experiments, the DA in SLM may be supplied by the locus coeruleus neuron terminals, that are known to release DA, especially at high firing rates (Smith and Greene, 2012). Finally, the DA receptors in SLM may not be engaged under physiological conditions but are only activated through exogenous agonist application.
What could be the function of the depression elicited by VTA/SNpC DA release? The DA neurons shift from tonic (1-4 Hz) to phasic firing mode (10-
73
30 Hz) upon encountering salient stimuli. From a series of studies in the ventral striatum, it has been hypothesized that the tonic mode of DA firing maintains a basal DA tone in the nM range that activates the higher affinity
D2 type receptors (Goto and Grace, 2005). Phasic DA firing events induce a fast, transient, and compartmentalized rise in DA concentration to the low