Neural Activity During Biting Prepares a Retractor Muscle for Force Generation During Swallowing in Aplysia

Total Page:16

File Type:pdf, Size:1020Kb

Neural Activity During Biting Prepares a Retractor Muscle for Force Generation During Swallowing in Aplysia PRE-MODULATION: NEURAL ACTIVITY DURING BITING PREPARES A RETRACTOR MUSCLE FOR FORCE GENERATION DURING SWALLOWING IN APLYSIA by HUI LU Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Advisor: Hillel J. Chiel, Ph. D. Department of Biology CASE WESTERN RESERVE UNIVERSITY August, 2014 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of Hui Lu candidate for the degree of Doctor of Philosophy *. Committee Chair Robin Snyder Committee Member Hillel Chiel Committee Member Roy Ritzmann Committee Member Jessica Fox Committee Member Kenneth Gustafson Date of Defense April 1, 2014 *We also certify that written approval has been obtained for any proprietary material contained therein. Table of Contents Chapter 1 Introduction Mechanisms underlying multifunctionality ………………………… 2 Motivation and research rationale …………………………………... 6 Hypothesis and specific aims ……………………………………… 10 Experimental design ……………………………………………….. 11 Brief introduction to the structure of later chapters ……………….. 13 References …………………………………………………………. 15 Figures and Tables ………………………………………………… 21 Chapter 2 Selective extracellular stimulation of individual neurons in ganglia Summary …………………………………………………………... 25 Introduction …………………………………. ……………………. 26 Materials and Methods …………………………………………….. 28 Results ……………………………………………………………... 38 Discussion …………………………………………………………. 52 Acknowledgments …………………………………………………. 58 References …………………………………………………………. 60 Figures and Tables ………………………………………………… 64 Chapter 3 Extracellularly identifying motor neurons for a muscle motor pool in Aplysia californica Summary …………………………………………………………... 92 Introduction …………………………………. ……………………. 93 Materials and Methods …………………………………………….. 94 Representative Results …………………………………………….. 96 Discussion …………………………………………………………. 97 Acknowledgments ………………………………………………... 103 References ………………………………………………………... 104 Figures and Tables ……………………………………………….. 107 Chapter 4 Pre-modulation: Neural activity during biting prepares a retractor muscle for force generation during swallowing in Aplysia Summary …………………………………………………………. 115 Introduction ………………………………………………………. 117 Materials and Methods …………………………………………… 118 Results ……………………………………………………………. 129 Discussion …………………………………………………………140 Acknowledgments ………………………………………………... 146 References ………………………………………………………... 147 Figures and Tables ……………………………………………….. 151 Chapter 5 Summary and future work Results summary …………………………………………………. 164 Limitations of this study …………………………………………. 166 Implications of this study ………………………………………… 170 Future work ………………………………………………………. 173 References …………………………………………………………177 Appendix A ...…………………………………………………………………181 B …………………………………………………………………...187 C …………………………………………………………………...203 Bibliography …………………………………………………………… 206 List of Figures Chapter 1 Figure 1-1: A schematic diagram for extrinsic and intrinsic neuromodulation ………………………………………21 Figure 1-2: A schematic diagram for the anatomy of the buccal mass of Aplysia ……………………………………………...22 Figure 1-3: A schematic diagram for muscle innervation and intrinsic and extrinsic modulation of I1/I3 ……………………..23 Figure 1-4: Schematic diagrams for intrinsic modulatory effects from FMRFamide and SCP on the contraction force amplitudes of I1/I3 ………………………………………………...24 Chapter 2 Figure 2-1: Schematic geometry of stimulating and recording electrodes in the in vitro experiments using Aplysia buccal ganglia ………………………………………...64 Figure 2-2: The experimental setup for measurements of the resistivity of Aplysia saline …………………………...65 Figure 2-3: Morphology and equivalent electrical circuit of the Aplysia NEURON model ……………………………..66 Figure 2-4: The polarization of the axon hillock varies as the extracellular stimulating electrode is placed at different positions ……………………………………………….67 Figure 2-5: The polarization along the neuron by extracellular ganglionic stimulation ………………………………...69 Figure 2-6: Qualitative comparisons between experimental results and the NEURON model’s predictions: anodic currents activate a neuron by extracellular stimulation on the side of the soma opposite to the axon …………………….70 Figure 2-7: Qualitative comparisons between experimental results and the NEURON model’s predictions: cathodic currents inhibit the neuron by extracellular stimulation near the cell bodies ……………………………………………71 Figure 2-8: Threshold currents for both anodic activation and cathodic inhibition increase with the distance from the stimulating electrode to the soma …………………….72 Figure 2-9: Threshold currents of the same neuron were very close when the sheath was intact and after the sheath was removed ………………………………………………73 Figure 2-10: Anodic currents can selectively activate an individual neuron ………………………………………………..74 Figure 2-11: Cathodic currents can selectively inhibit an individual neuron ………………………………………………..76 Figure 2-12: The spatial specificity for anodic activation predicted by the multiple-cell NEURON model …………………...77 Figure 2-13: The spatial specificity for cathodic inhibition predicted by the multiple-cell NEURON model ………………..78 Figure 2-14: The spatial specificity for a group of neurons with different sizes and geometric configurations predicted by the NEURON model and the analytical model ………79 Figure 2-15: The temporal specificity for anodic activation of an individual neuron demonstrated experimentally ……..81 Figure 2-16: The temporal specificity for cathodic inhibition of an individual neuron demonstrated experimentally ……..83 Figure 2-17: Comparisons of the membrane polarization along a simulated neuron with different soma and axon diameters ……………………………………………..85 Figure 2-18: Comparisons of the membrane polarization along the simulated vertebrate neuron with different neuronal structures ……………………………………………..87 Table 2-1: The geometric parameters of the NEURON model for an Aplysia buccal neuron ………………………………..89 Table 2-2: The electrical parameters of the NEURON model for an Aplysia buccal neuron …………………………………90 Table 2-3: The electrical parameters of the NEURON model for an Aplysia buccal neuron …………………………………91 Chapter 3 Figure 3-1: Schematic of overall setup and the dish for the force studies ………………………………………………..107 Figure 3-2: Schematic of the buccal ganglia and electrodes setup …………………………………………………108 Figure 3-3: A picture and schematic of the neuron map for extracellular identification of the I1/I3 motor neurons in the Aplysia buccal ganglion ………………………….109 Figure 3-4: Identifying and characterizing the I1/I3 motor neuron B3 ……………………………………………………111 Figure 3-5: Identifying and characterizing the I1/I3 motor neuron B43 …………………………………………………..112 Figure 3-6: The optimized diagnostic tree for identifying some of the I1/I3 motor neurons using extracellular soma and nerve recordings ……………………………………………113 Figure 3-7: Comparison of success rates of neuron identification during force experiments using either the extracellular technique or the intracellular technique ……………..114 Chapter 4 Figure 4-1: Characterizing the BN2 motor programs during the retraction phase of biting and swallowing …………...151 Figure 4-2: B6, B9 and B3 are more active in swallowing than in biting …………………………………………………153 Figure 4-3: The activity of B6, B9 and B3 is correlated with the overall retraction force in swallowing ……………….155 Figure 4-4: The force/frequency relationships of B6, B9, and B3 in vitro ………………………………………………….157 Figure 4-5: The I1/I3 muscle forces evoked by B6, B9 and B3 at their physiological activity levels are small compared to the overall retraction force exerted during swallowing responses …………………………………………….158 Figure 4-6: B6, B9 and B3 generate no force in biting even after self- modulation, but pre-modulate I1/I3 and prepare it to generate larger forces during the initial swallow ……159 Figure 4-7: Intrinsic modulation from B6, B9 and B3 in swallowing …………………………………………...160 Figure 4-8: The nonlinear summation of the I1/I3 muscle forces evoked by B6, B9 and B3 ……………………………161 Figure 4-9: The I1/I3 muscle forces generated during ingestive-like patterns ………………………………………………162 Figure 4-10: Summary schematics for results ……………………..163 Acknowledgements I would like thank to my advisor Dr. Hillel Chiel for his unwavering faith, wise advice, and enormous patience and support. I would like to thank the other members of my committee, Dr. Roy Ritzmann, Dr. Jessica Fox and Dr. Kenneth Gustafson for their helpful comments. I would also like to thank my lab colleagues: Jeffrey McManus, Miranda Cullins, Cindy Chestek, Kendrick Shaw, Catherine Kehl and Jeff Gill for their help during different stages of my Ph.D. work. I would also like to express my special appreciation to my husband, Qing Ran, and parents, who supported me and encouraged me to strive towards my goal. This work was supported by NIH grant NS047073, EB004018 and T32 GM007250 as well as NSF grant DMS1010434 and IIS1065489. PRE-MODULATION: NEURAL ACTIVITY DURING BITING PREPARES A RETRACTOR MUSCLE FOR FORCE GENERATION DURING SWALLOWING IN APLYSIA Abstract by HUI LU The ability to rapidly modify behaviors to meet changing environmental demands is essential to both vertebrates and invertebrates. This flexibility can be achieved by coordinated neuromodulation at different levels (Katz, 1995), which changes the excitability of motor neurons (Trimmer 1994; Schotland et al., 1995) and the responsiveness of a muscle to the same neural activation (Cropper et al., 1994; Brezina et al., 1994). Although neuromodulation has been extensively studied in many systems, less is known about the role
Recommended publications
  • AM6516 Neuromechanics of Human Movement - Syllabus
    AM6516 Neuromechanics of Human Movement - Syllabus Objectives: To introduce the neural system responsible for generation of human movements. To introduce neural control of movements (principles and theories) Briefly introduce topics of motor disorders and rehabilitation approaches. Course contents: Features of movement production system: Muscles, Neurons, Neuronal pathways, Sensory receptors, Reflexes and its kinds, Spinal control mechanisms Major brain structures responsible for movement generation: Motor Cortex (including a discussion of premotor and supplementary motor areas), Basal Ganglia, Cerebellum, Descending and ascending pathways Control theory approaches to motor control: Force control, generalized motor programs, muscle activation control, Merton's servo hypothesis, optimal control (including Posture based movement control) Physical approaches to motor control: Mass-Spring models, Threshold control, Equilibrium point hypothesis, Referent configurations Coordination of human movement: Approaches to studying coordination: Optimization, Dynamical systems approach, Synergies, Action-Perception interactions and coupling. Exemplary behaviors: Prehension, postural control, locomotion, Kinesthesia. Changing and Evolving behaviors: Changes to movement control due to fatigue and aging. Motor disorders (introduction only): Spinal cord injury and Spasticity, Cortical disorders (Examples: Stroke, Cerebral Palsy), Disorders of Basal Ganglia (Examples: Parkinson's disease, Huntington's disease), Cerebellar disorders (Ataxia, Tremor, Timing
    [Show full text]
  • Neuromechanics of the Foot, Footwear and Orthotics Stephen Perry, Phd
    Neuromechanics of the Foot, Footwear and Orthotics Stephen Perry, PhD Department of Kinesiology and Physical Education, Wilfrid Laurier University Department of Physical Therapy, Rehabilitation Science Institute, University of Toronto Toronto Rehabilitation Institute © Stephen D. Perry, PhD Areas of Research Foot Disorders Footwear, Orthotic Characteristics Plantar Surface Sensation Muscle Activation Balance Control Mobility © Stephen D. Perry, PhD Sensory Role Mechanical Role Central Nervous System Impingement Impingement of pathways of pathways inaccurate information decline in muscle strength Sensory Musculoskeletal damage to System receptors System deformities change in strategies available pain Inappropriate detection fatigue of pressure levels impedes transfer of forces shearing forces and reduction in sensitivity Balancing Reactions masking or potential for additional change in mechanical insulating signals postural disturbances properties (e.g. weight, shape) © Stephen D. Perry, PhD Take Home Message Structural and material alterations, such as footwear and orthotic characteristics, fit, integrity and interface (cushioning, sock‐insole, impingements) can affect both sensory and mechanical foot functions. There is also a need to identify and treat mechanical foot misalignments early with all of this taken into consideration. This research is in its early stages. © Stephen D. Perry, PhD References 1. Antonio, P.J. and S.D. Perry, 2019. Commercial pressure offloading insoles: dynamic stability and plantar pressure effects while negotiating stairs. Footwear Science. In Press. 2. Antonio, P.J., Investigating balance, plantar pressure, and foot sensitivity of individuals with diabetes during stair gait, Rehabilitation Science Institute. 2019, University of Toronto. 3. Antonio, P. J., and S. D. Perry. 2014. "Quantifying stair gait stability in young and older adults, with modifications to insole hardness." Gait Posture 40 (3):429‐34.
    [Show full text]
  • Environmental Enrichment and Exercise Are Better Than Social
    Environmental enrichment and exercise are better than PNAS PLUS social enrichment to reduce memory deficits in amyloid beta neurotoxicity Mariza G. Prado Limaa, Helen L. Schimidtb, Alexandre Garciaa, Letícia R. Daréa, Felipe P. Carpesb, Ivan Izquierdoc,1, and Pâmela B. Mello-Carpesa,1 aPhysiology Research Group, Stress, Memory and Behavior Lab, Federal University of Pampa, Uruguaiana, RS 97500-970, Brazil; bApplied Neuromechanics Group, Federal University of Pampa, Uruguaiana, RS 97500-970, Brazil; and cMemory Center, Brain Institute, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS 90610-000, Brazil Contributed by Ivan Izquierdo, January 24, 2018 (sent for review October 24, 2017; reviewed by Michel Baudry and Federico Bermudez-Rattoni) Recently, nongenetic animal models to study the onset and devel- the administration of Aβ protein oligomers (14, 15). However, opment of Alzheimer’s disease (AD) have appeared, such as the EE as used in animal research usually includes other variables intrahippocampal infusion of peptides present in Alzheimer amyloid than perception and memorization, which make it difficult to plaques [i.e., amyloid-β (Aβ)]. Nonpharmacological approaches to determine the nature of its eventually favorable effects. Animals AD treatment also have been advanced recently, which involve exposed to EE are maintained for long periods in large boxes combinations of behavioral interventions whose specific effects with other conspecifics to promote interaction and socialization are often difficult to determine. Here we isolate the neuroprotective (16). The presence of conspecifics constitutes social enrichment effects of three of these interventions—environmental enrichment (SE), which induces social interactions. Furthermore, activity — (EE), anaerobic physical exercise (AnPE), and social enrichment (SE) wheels, tunnels, and toys that are made available in the boxes β on A -induced oxidative stress and on impairments in learning and used to study EE induce intermittent physical exercise, which is memory induced by Aβ.
    [Show full text]
  • Pin Faculty Directory
    Harvard University Program in Neuroscience Faculty Directory 2019—2020 April 22, 2020 Disclaimer Please note that in the following descripons of faculty members, only students from the Program in Neuroscience are listed. You cannot assume that if no students are listed, it is a small or inacve lab. Many faculty members are very acve in other programs such as Biological and Biomedical Sciences, Molecular and Cellular Biology, etc. If you find you are interested in the descripon of a lab’s research, you should contact the faculty member (or go to the lab’s website) to find out how big the lab is, how many graduate students are doing there thesis work there, etc. Program in Neuroscience Faculty Albers, Mark (MGH-East)) De Bivort, Benjamin (Harvard/OEB) Kaplan, Joshua (MGH/HMS/Neurobio) Rosenberg, Paul (BCH/Neurology) Andermann, Mark (BIDMC) Dettmer, Ulf (BWH) Karmacharya, Rakesh (MGH) Rotenberg, Alex (BCH/Neurology) Anderson, Matthew (BIDMC) Do, Michael (BCH—Neurobio) Khurana, Vikram (BWH) Sabatini, Bernardo (HMS/Neurobio) Anthony, Todd (BCH/Neurobio) Dong, Min (BCH) Kim, Kwang-Soo (McLean) Sahay, Amar (MGH) Arlotta, Paola (Harvard/SCRB) Drugowitsch, Jan (HMS/Neurobio) Kocsis, Bernat (BIDMC) Sahin, Mustafa (BCH/Neurobio) Assad, John (HMS/Neurobio) Dulac, Catherine (Harvard/MCB) Kreiman, Gabriel (BCH/Neurobio) Samuel, Aravi (Harvard/ Physics) Bacskai, Brian (MGH/East) Dymecki, Susan(HMS/Genetics) LaVoie, Matthew (BWH) Sanes, Joshua (Harvard/MCB) Baker, Justin (McLean) Engert, Florian (Harvard/MCB) Lee, Wei-Chung (BCH/Neurobio) Saper, Clifford
    [Show full text]
  • Neuromechanics: from Neurons to Brain
    CHAPTER TWO Neuromechanics: From Neurons to Brain Alain Goriely*, Silvia Budday†, Ellen Kuhl{,1 *Mathematical Institute, University of Oxford, Oxford, United Kingdom †Department of Mechanical Engineering, University of Erlangen-Nuremberg, Erlangen, Germany { Departments of Mechanical Engineering and Bioengineering, Stanford University, Stanford, United States 1Corresponding author: e-mail address: [email protected] Contents 1. Motivation 80 2. Neuroelasticity 82 2.1 Elasticity of Single Neurons 82 2.2 Elasticity of Gray and White Matter Tissue 90 2.3 Elasticity of the Brain 93 3. Neurodevelopment 96 3.1 Growth of Single Neurons 96 3.2 Growth of Gray and White Matter Tissue 103 3.3 Growth of the Brain 106 4. Neurodamage 116 4.1 Neurodamage of Single Neurons 116 4.2 Neurodamage of Gray and White Matter Tissue 119 4.3 Neurodamage of the Brain 126 5. Open Questions and Challenges 128 Acknowledgments 131 Glossary 132 References 133 Abstract Arguably, the brain is the most complex organ in the human body, and, at the same time, the least well understood. Today, more than ever before, the human brain has become a subject of narcissistic study and fascination. The fields of neuroscience, neu- rology, neurosurgery, and neuroradiology have seen tremendous progress over the past two decades; yet, the field of neuromechanics remains underappreciated and poorly understood. Here, we show that mechanical stretch, strain, stress, and force play a critical role in modulating the structure and function of the brain. We discuss the role of neuromechanics across the scales, from individual neurons via neuronal tissue to the whole brain. We review current research highlights and discuss challenges and potential future directions.
    [Show full text]
  • ME234 – Introduction to Neuromechanics
    ME234 - Introduction to Neuromechanics ME234 – Introduction to Neuromechanics Fall 2015, Tue/Thu 10:30-11:50, Y2E2-111 Ellen Kuhl ([email protected]) Our brain is not only our softest, but also our least well-understood organ. Floating in the cerebrospinal fluid, embedded in the skull, it is almost perfectly isolated from its mechanical environment. Not surprisingly, most brain research focuses on the electrical rather than the mechanical characteristics of brain tissue. Recent studies suggest though, that the mechanical environment plays an important role in modulating brain function. Neuromechanics has traditionally focused on the extremely fast time scales associated with dynamic phenomena on the order of milliseconds. The prototype example is traumatic brain injury where extreme loading rates cause intracranial damage associated with a temporary or permanent loss of function. Neurodevelopment, on the contrary, falls into the slow time scales associated with quasi-static phenomena on the order of months. A typical example is cortical folding, where compressive forces between gray and white matter induce surface buckling. To understand the role of mechanics in neuroanatomy and neuromorphology, we begin this course by dissecting mammalian brains and correlate our observations to neurophysiology. We discuss morphological abnormalities including lissencephaly and polymicrogyria and illustrate their morphological similarities with neurological disorders including schizophrenia and autism. Then, we address the role of mechanics during brachycephaly,
    [Show full text]
  • Penultimate Version. Please Do Not Cite. Forthcoming in Synthese. The
    Penultimate version. Please do not cite. Forthcoming in Synthese. The Dynamical Renaissance in Neuroscience Luis H. Favela1, 2 1 Department of Philosophy, University of Central Florida 2 Cognitive Sciences Program, University of Central Florida Author Note Luis H. Favela https://orcid.org/0000-0002-6434-959X Correspondence concerning this article should be addressed to Luis H. Favela, Department of Philosophy, University of Central Florida, 4111 Pictor Lane, Suite 220, Orlando, FL 32816-1352. E-mail: [email protected] 1 The Dynamical Renaissance in Neuroscience Abstract Although there is a substantial philosophical literature on dynamical systems theory in the cognitive sciences, the same is not the case for neuroscience. This paper attempts to motivate increased discussion via a set of overlapping issues. The first aim is primarily historical and is to demonstrate that dynamical systems theory is currently experiencing a renaissance in neuroscience. Although dynamical concepts and methods are becoming increasingly popular in contemporary neuroscience, the general approach should not be viewed as something entirely new to neuroscience. Instead, it is more appropriate to view the current developments as making central again approaches that facilitated some of neuroscience’s most significant early achievements, namely, the Hodgkin-Huxley and FitzHugh-Nagumo models. The second aim is primarily critical and defends a version of the “dynamical hypothesis” in neuroscience. Whereas the original version centered on defending a noncomputational and nonrepresentational account of cognition, the version I have in mind is broader and includes both cognition and the neural systems that realize it as well. In view of that, I discuss research on motor control as a paradigmatic example demonstrating that the concepts and methods of dynamical systems theory are increasingly and successfully being applied to neural systems in contemporary neuroscience.
    [Show full text]
  • Structure and Function of Pedal Neurons Controlling Muscle Contractions in Tritonia Diomedea
    Page 1 of 16 Impulse: The Premier Undergraduate Neuroscience Journal 2012 Structure and function of pedal neurons controlling muscle contractions in Tritonia diomedea Reakweeda Zazay1,2,3, Josh B. Morrison2,4, Roger Redondo2,4, James Alan Murray1,2,4 1California State University East Bay, Hayward CA 94542; 2Friday Harbor Laboratories, Friday Harbor WA 98250; 3George Washington University, Washington DC 20052; 4University of Cen- tral Arkansas, Conway AR 72035 There are 16 pairs of “identified neurons” in the pedal ganglion of any sea slug of the species Tritonia diomedea that have published behavioral functions. Many of the pedal neurons cause flexion of the ipsilateral body wall and foot when activated, but they are not thought to innervate muscle directly. The goal of this study was to examine the motor functions of brain neurons with no previously-identified functions. We described the activity of two such cells and their motor effects, and further characterized the motor effects of a previously-identified neuron (Pedal 3). We stimulated the Pedal 3 flexion neuron and characterized where and how it contracted the foot. For each neuron, we described the latency to contraction, the time to relaxation, and the dis- tance and speed of movement. These neurons may be involved in turning during crawling, and these results will help us understand how the activity of specific neurons is translated into behav- ior (neuromechanics), and determine how fast the animal can respond to sensory feedback during locomotion. The relative simplicity of this brain allows us to understand how behavior is gener- ated on a cellular basis, and to generate neural network and neuromechanical models of naviga- tion that can be applied to robotics.
    [Show full text]
  • Fundamentals of Neuromechanics Series: Biosystems & Biorobotics, Vol
    F.J. Valero-Cuevas Fundamentals of Neuromechanics Series: Biosystems & Biorobotics, Vol. 8 ▶ Offers step-by-step procedures to create neuro-musculo-skeletal models, to understand function, versatility and disability, and innovative robotic designs ▶ Broadens your understanding of the complex interactions, between the nervous system and the anatomy of a limb to produce versatile function ▶ Equips readers to understand and advance in the most current theories and debates in sensorimotor neuroscience. ▶ Provides ample on-line supplementary material, exercises and computer code This book provides a conceptual and computational framework to study how the nervous 1st ed. 2015, XXIV, 194 p. 65 illus. system exploits the anatomical properties of limbs to produce mechanical function. The study of the neural control of limbs has historically emphasized the use of optimization to find solutions to the muscle redundancy problem. That is, how does the nervous system Printed book select a specific muscle coordination pattern when the many muscles of a limb allow for multiple solutions? Hardcover 69,99 € | £35.99 | $89.99 ▶ I revisit this problem from the emerging perspective of neuromechanics that emphasizes ▶ *74,89 € (D) | 76,99 € (A) | CHF 79.00 finding and implementing families of feasible solutions, instead of a single and unique optimal solution. Those families of feasible solutions emerge naturally from the eBook interactions among the feasible neural commands, anatomy of the limb, and constraints of the task. Such alternative perspective to the neural control of limb function is not only Available from your library or biologically plausible, but sheds light on the most central tenets and debates in the fields springer.com/shop ▶ of neural control, robotics, rehabilitation, and brain-body co-evolutionary adaptations.
    [Show full text]
  • Integrative Physiology 1
    Integrative Physiology 1 Bustamante, Heidi Margarita (https://experts.colorado.edu/display/ INTEGRATIVE PHYSIOLOGY fisid_146491/) Senior Instructor; MS, University of Colorado Boulder Physiology is the field of biology that deals with function in living organisms. The academic foundation of the department is the knowledge Byrnes, William (https://experts.colorado.edu/display/fisid_100643/) of how humans and animals function at the level of genes, cells, organs Associate Professor Emeritus; PhD, University of Wisconsin–Madison and systems. Our multidisciplinary curriculum requires students to take Carey, Cynthia foundational courses in anatomy, mathematics, physics, physiology and Professor Emerita statistics. With this basic knowledge, students can undertake a flexible curriculum that includes the study of biomechanics, cell physiology, Casagrand, Janet L. (https://experts.colorado.edu/display/fisid_100934/) endocrinology, immunology, exercise physiology, neurophysiology and Senior Instructor; PhD, Case Western Reserve University sleep physiology. The department also encourages student participation in research. DeSouza, Christopher A. (https://experts.colorado.edu/display/ fisid_107460/) Students completing a degree in integrative physiology are expected to Professor; PhD, University of Maryland, College Park acquire the ability and skills to: Eaton, Robert • read, evaluate and synthesize information from the research literature Professor Emeritus on integrative physiology; • observe living organisms and be able to understand the physiological Ehringer, Marissa A. (https://experts.colorado.edu/display/fisid_126595/) principles underlying function; Associate Professor; PhD, University of Colorado Denver • be able to interpret movement and performance data from laboratory Enoka, Roger M. (https://experts.colorado.edu/display/fisid_110122/) measurements; and Professor; PhD, University of Washington • communicate the outcome of an investigation and its contribution to the body of knowledge on integrative physiology.
    [Show full text]
  • Development of the Neuromechanics Evaluation Device (NED) for Subject-Specifc Lower Limb Modelling of Spinal Cord Injury
    Imperial College of Science, Technology and Medicine Department of Bioengineering Development of the neuromechanics evaluation device (NED) for subject-specifc lower limb modelling of spinal cord injury Hsien-Yung, Huang Submitted in part fulflment of the requirements for the degree of Doctor of Philosophy in Bioengineering of Imperial College London and the Diploma of Imperial College London, October 2018 October, 2018 This is to certify that the work in this thesis has been carried out at the Department of Bio- engineering, Imperial College of Science, Technology and Medicine and has not been previously submitted to any other university or technical institution for a degree or award. The thesis comprises only my original work, except where due acknowledgement is made in the text. The copyright of this thesis rests with the author and is made available under a Creative Commons Attribution Non-Commercial No Derivatives licence. Researchers are free to copy, distribute or transmit the thesis on the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the licence terms of this work. 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be ob- tained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 3 Abstract Investigating human neuromechanics can be used to characterise motor impairments in neuro- logically afected individuals, and can give insight into how the brain controls movement.
    [Show full text]
  • Neuromechanics and Spinal Cord: Muscle and Motor Unit Redundancy
    Neuromechanics and Spinal Cord: Muscle and Motor Unit Redundancy Jason J. Kutch, Ph.D. Assistant Professor Louise Cosand University of Southern California AMPLAMPLDivision of Biokinesiology & Physical Therapy Dan Kirages, DPT Moheb Yani Overview • Biomechanics to Brain Pain • Muscle Redundancy • Motor Unit Redundancy • Think computation, act experimentation Biomechanics to Brain Pain © Farrar, Straus and Giroux Chronic pain: pain that extends beyond the expected period of healing1 1Turk and Okifuji, 2001 Biomechanics to Brain Pain My Ph.D. training was interdisciplinary Tony Bloch, Ph.D. Art Kuo, Ph.D. Zev Rymer, M.D. Ph.D. Applied Mathematics Biomechanics Neurophysiology Biomechanics to Brain Pain Cycling + Stress = CP/CPPS? Biomechanics to Brain Pain Chronic prostatitis/chronic pelvic pain syndrome (CP/ CPPS) is a clinical condition presenting as chronic pelvic pain for 3 months within a 6-month period, with a variable degree of urinary and sexual dysfunction in the absence of any identifiable pathology.1 • Prevalence: 6 - 12% (Most frequent urological diagnosis for men under 50).2 • Virulence: Accounts for 8% of urological visits and 1% of all primary care visits. QOL scores lower than CHF, diabetes, and Crohn’s disease.2 • Cost: $6,500 per patient per year.2 1. Krieger et al., 1999 2. Allsop et al., 2011 Biomechanics to Brain Pain % office visits 2008 National Ambulatory Medical Care Survey with condition 5.7% Allsop et al., 2011 present 1.7% 0.44% Cancer CP/CPPS CHF Biomechanics to Brain Pain % office visits with condition 5.7% present Other Uterine corpus Thyroid Kidney & renal pelvis Non-Hodgkin lymphoma Urinary bladder Melanoma-skin Colon Lung Breast Prostate 0.44% Cancer By type CP/CPPS Biomechanics to Brain Pain Current (conservative) Treatment Options • Long (3 months+) course of antibiotics.1 • Combination of physical therapy and relaxation techniques.2 • Aerobic exercise.3 1.
    [Show full text]