Magnetoencephalographic Representation of the Sensorimotor

Total Page:16

File Type:pdf, Size:1020Kb

Magnetoencephalographic Representation of the Sensorimotor 1649 J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp.74.12.1649 on 24 November 2003. Downloaded from PAPER Magnetoencephalographic representation of the sensorimotor hand area in cases of intracerebral tumour M Oishi, M Fukuda, S Kameyama, T Kawaguchi, H Masuda, R Tanaka ............................................................................................................................... J Neurol Neurosurg Psychiatry 2003;74:1649–1654 Objective: To assess the clinical value of magnetoencephalography (MEG) in localising the primary hand motor area and evaluating cortical distortion of the sensorimotor cortices in patients with intracerebral tumour. Methods: 10 normal volunteers (controls) and 14 patients with an intracerebral tumour located around the central region were studied. Somatosensory evoked magnetic fields (SEFs) following median nerve stimulation, and movement related cerebral magnetic fields (MRCFs) following index finger extension, were measured in all subjects and analysed by the equivalent current dipole (ECD) method to ascertain the See end of article for authors’ affiliations neuronal sources of the primary sensory and motor components (N20m and MF, respectively). These ECD ....................... locations were defined as the primary hand sensory and motor areas and the positional relations between these two functional areas in controls and patients were investigated. Correspondence to: Dr M Oishi, Department of Results: The standard range of ECD locations of MF to N20m was determined in controls. In 11 of the 14 Neurosurgery, National patients, MRCFs could identify the primary motor hand area. ECD locations of MF were significantly closer Nishi-Niigata Central to the N20m in the medial-lateral direction in patients than in controls. In patients with a tumour located Hospital, 1-14-1 Masago, Niigata 950-2085, Japan; below the sensorimotor hand area, relative ECD locations of MF to N20m moved anteriorly over the [email protected] standard range determined in the control subjects. These MEG findings correlated well with radiological tumour locations. The mean estimated ECD strength of MF was significantly lower in patients than in Received 4 March 2003 controls. In revised form 17 April 2003 Conclusions: MRCF was useful in localising the primary motor hand area in patients with intracerebral Accepted 25 April 2003 tumour. The relative ECD locations of MF to N20m describe the anatomical distortion of the sensorimotor ....................... cortex. copyright. arly studies based on direct electrical stimulation of the sensorimotor areas in patients with intracerebral tumours. To cerebral cortices of awake neurosurgical patients estab- do this, we first determined the standard positional relation lished the somatotopic arrangement of the human motor between human hand motor and sensory areas using MEG in E 1 and sensory cortices. Recent neuroimaging modes such as normal subjects. We then recorded MRCFs from the patients functional magnetic resonance imaging (fMRI),2–7 positron with intracerebral tumours and evaluated whether the MEG emission tomography (PET),89and magnetoencephalography relation between hand motor and sensory areas corresponded (MEG)10–17 have allowed the non-invasive identification of to the anatomical findings in these patients. these functional areas and have confirmed the previously described sensory and motor homunculi. The hand area of METHODS http://jnnp.bmj.com/ each homunculus has been examined in relation to the Subjects anatomically characteristic landmark ‘‘knob’’ struc- Ten right handed normal volunteers (eight men, two women; 248912141618 ture. However, a direct relation between sensory age 20 to 41 years, mean 31.5) and 14 patients with and motor hand areas has never been described. intracerebral tumours adjacent to the sensorimotor area MEG is a non-invasive way of measuring extracranial (six men, eight women; age 20 to 66 years, mean 38.6) 19 magnetic fields generated by intraneuronal electric currents. participated in the study. Patients were evaluated for surgical As magnetic fields are relatively unaffected by the different treatment between June 2000 and January 2002. Thirteen of electrical conductivities of the brain, cerebrospinal fluid, the 14 patients were treated surgically. The final pathological on September 29, 2021 by guest. Protected skull, and skin, MEG can accurately localise the origin of diagnoses in these 13 patients were glial tumour (n = 8), intraneuronal electric currents that contribute to extracranial cavernous angioma (n = 4), and metastatic tumour (n = 1). magnetic fields by fitting to an equivalent current dipole The remaining patient with radiologically diagnosed caver- (ECD) model.20 The accuracy of MEG localisation has been nous angioma did not undergo surgery. Informed consent shown to be within a few millimetres of that obtained by was obtained from all controls and patients after the direct cortical mapping.21 The clinical value of MEG has been experimental procedures were explained. reported mainly in the identification of somatosensory, auditory, and visual areas in neurosurgical patients.11–13 15 22–24 Magnetoencephalography For the identification of the primary motor hand area by MEG recording was done in a magnetically shielded room at MEG, the movement related cerebral magnetic field (MRCF) the National Nishi-Niigata Central Hospital, Niigata, Japan. A generated by spontaneous finger movements is used.25–27 However, only a few investigators have reported clinical applications of the MRCF, mainly in patients with brain ................................................................ 17 28–30 tumours. Abbreviations: ECD, equivalent current dipole; MEG, In the present study, our main aim was to clarify the magnetoencephalography; MRCF, movement related cerebral magnetic clinical ability of MEG to evaluate the cortical distortion of field; SEF, somatosensory evoked magnetic field www.jnnp.com 1650 Oishi, Fukuda, Kameyama, et al J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp.74.12.1649 on 24 November 2003. Downloaded from commercially available helmet shaped neuromagnetometer (Neuromag 204; 4D-Neuroimaging, San Diego, California, USA) consisting of 204 planar-type gradiometers was used. This gradiometer configuration is known to detect the largest signal at the site on the head immediately above the current source.31 Each subject was placed in a comfortable sitting position. Head position with respect to the helmet was determined using four indicator coils placed on the scalp that were referenced to three anatomical fiducial markers (nasion and bilateral preauricular points). The recorded data were analysed by fitting each component to a single ECD model in the three dimensional reference frame determined by the fiducial markers. ECDs with a goodness of fit better than 90% were accepted and were superimposed onto the patient’s three dimensional brain magnetic resonance (MR) images obtained with a 1.5 Tesla system (MAGNEX Epios15; Figure 1 The finger movement pad. When the small plate fixed to the Shimazu, Kyoto, Japan). index finger cuts off the light emitting diode because of finger extension, an input is triggered. Somatosensory evoked magnetic fields A median nerve was stimulated sequentially with an using a specific trigger board (finger movement pad; 4D- electrical square wave of 0.2 ms duration and 2.8 Hz neuroimaging) (fig 1). The input is triggered by this board repetition rate. The 350 ms period of a total of 200 epochs, and is averaged when the subject extends the index finger including a 50 ms prestimulus period for baseline setting, appropriately. Each subject was instructed to move the finger was averaged. Data were sampled at 1000 Hz with the low at self paced intervals of about five seconds with a sharp pass filter set at 300 Hz and analysed with the high pass filter movement that begins after the finger muscles are totally set at 10 Hz. The primary sensory area of the median nerve relaxed, and to avoid blinking and other eye movements was determined by localisation of an ECD for N20m, which is during the task. A total of 70 to 100 epochs and the 1000 ms a well known component indicating the earliest cortical prestimulus and 1000 ms poststimulus periods were aver- 32 response after stimulus. aged. The first 200 ms of the prestimulus period was used to obtain baseline data. Data were sampled at 500 Hz with the Movement related cerebral magnetic fields low pass filter set at 160 Hz and analysed with the bandpass The standard method for recording MRCFs has been filter set between 1 and 35 Hz. The MRCF waveform consists described in detail elsewhere.27 We modified the method of several major components (fig 2) for which functional copyright. http://jnnp.bmj.com/ on September 29, 2021 by guest. Protected Figure 2 Identification of the motor hand area by the movement related cerebral magnetic field (MRCF) in a normal volunteer. Upper panels: a typical waveform (left) and whole scalp waveforms (right) of MRCF in response to a right index finger extension task. RF, readiness field; MF, motor field; MEF- 1, movement evoked field 1. Lower left panel: isocontour map of the MF shows a clear dipole pattern. Lower middle and right panels: MF dipole superimposed onto axial (middle) and sagittal (right) MR images allows estimation of the neuronal source at the characteristic structure in the anterior wall of the central sulcus. The square and tail represent the dipole location and orientation,
Recommended publications
  • Human Cortical Oscillations: a Neuromagnetic View Through the Skull
    R EVIEW R. Hari and R. Salmelin – Human cortical rhythms VA -IN S I N V Human cortical oscillations: a O E N I neuromagnetic view through the skull M G AG I N Riitta Hari and Riitta Salmelin The mammalian cerebral cortex generates a variety of rhythmic oscillations, detectable directly from the cortex or the scalp. Recent non-invasive recordings from intact humans, by means of neuromagnetometers with large sensor arrays, have shown that several regions of the healthy human cortex have their own intrinsic rhythms, typically 8–40 Hz in frequency, with modality- and frequency-specific reactivity. The conventional hypotheses about the functional significance of brain rhythms extend from epiphenomena to perceptual binding and object segmentation. Recent data indicate that some cortical rhythms can be related to periodic activity of peripheral sensor and effector organs. Trends Neurosci. (1997) 20, 44–49 EURONES IN THE HUMAN BRAIN, especially in signals can be identified easily. By contrast, MEG (and Nthalamic nuclei and in the cerebral cortex, ex- EEG) sensors pick up signals from extensive brain hibit intrinsic oscillations1–3, which probably form the regions, which might be even several centimetres basis for macroscopic rhythms, detectable with electro- away from the sensor. Therefore the sites of active encephalography (EEG) and magnetoencephalography neuronal populations have to be deduced from the (MEG). Analysis of cortical rhythms forms an essential measured signal distribution. Although this ‘inverse part of clinical EEG evaluation, which relies on corre- problem’ does not have a unique solution in the gen- lations between the signal phenomenology and brain eral case6,9, modelling the generators of MEG signals as disorders.
    [Show full text]
  • Brain Activity Relating to the Contingent Negative Variation: an Fmri Investigation
    www.elsevier.com/locate/ynimg NeuroImage 21 (2004) 1232–1241 Brain activity relating to the contingent negative variation: an fMRI investigation Y. Nagai,a,* H.D. Critchley,b E. Featherstone,b P.B.C. Fenwick,c M.R. Trimble,a and R.J. Dolanb a Institute of Neurology, Department of Clinical and Experimental Epilepsy, London WC1N 3BG, UK b Wellcome Department of Imaging Neuroscience, Institute of Neurology, UCL, London WC1N 3BG, UK c Institute of Psychiatry, KCL, London SE5 8AF GB, UK Received 6 May 2003; revised 30 October 2003; accepted 31 October 2003 The contingent negative variation (CNV) is a long-latency electro- and S2) at the vertex, has been termed the ‘‘expectancy wave’’ encephalography (EEG) surface negative potential with cognitive and (Walter et al., 1964). A more general model of the CNVencapsulates motor components, observed during response anticipation. CNV is an a concept of cortical arousal related to anticipatory attention, index of cortical arousal during orienting and attention, yet its preparation, motivation, and information processing (Tecce, 1972). functional neuroanatomical basis is poorly understood. We used Neurophysiological studies indicate that cortical surface-nega- functional magnetic resonance imaging (fMRI) with simultaneous EEG and recording of galvanic skin response (GSR) to investigate tive potentials, such as the CNV, result from depolarization of CNV-related central neural activity and its relationship to peripheral apical dendrites of cortical pyramidal cells by thalamic afferents autonomic arousal. In a group analysis, blood oxygenation level and reflect excitation over an extended cortical area (Birbaumer et dependent (BOLD) activity during the period of CNV generation was al., 1990).
    [Show full text]
  • Electroencephalographic Correlates of Temporal Bayesian Belief Updating and Surprise
    Electroencephalographic Correlates of Temporal Bayesian Belief Updating and Surprise a,b,* a b,c d c,e Antonino Visalli , Mariagrazia Capizzi , Ettore Ambrosini , Bruno Kopp , Antonino Vallesi a Department of Neuroscience, University of Padova, 35128 Padova, Italy b Department of General Psychology, University of Padova, 35131 Padova, Italy c Department of Neuroscience & Padova Neuroscience Center, University of Padova, 35131 Padova, Italy d Department of Neurology, Hannover Medical School, 30625 Hannover, Germany e Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 30126 Venice, Italy *Address for correspondence: Antonino Visalli Department of Neuroscience, University of Padova Via Giustiniani 5, 35128 Padova, Italy Phone number: (+39) 049 8214450 Email: [email protected] 1 Abstract The brain predicts the timing of forthcoming events to optimize responses to them. Temporal predictions have been formalized in terms of the hazard function, which integrates prior beliefs on the likely timing of stimulus occurrence with information conveyed by the passage of time. However, how the human brain updates prior temporal beliefs is still elusive. Here we investigated electroencephalographic (EEG) signatures associated with Bayes-optimal updating of temporal beliefs. Given that updating usually occurs in response to surprising events, we sought to disentangle EEG correlates of updating from those associated with surprise. Twenty-siX participants performed a temporal foreperiod task, which comprised a subset of surprising events not eliciting updating. EEG data were analyzed through a regression-based massive approach in the electrode and source space. Distinct late positive, centro-parietally distributed, event-related potentials (ERPs) were associated with surprise and belief updating in the electrode space.
    [Show full text]
  • Readiness Potentials Driven by Non-Motoric Processes ⇑ Prescott Alexander A,1, , Alexander Schlegel A,1, Walter Sinnott-Armstrong B, Adina L
    Consciousness and Cognition 39 (2016) 38–47 Contents lists available at ScienceDirect Consciousness and Cognition journal homepage: www.elsevier.com/locate/concog Readiness potentials driven by non-motoric processes ⇑ Prescott Alexander a,1, , Alexander Schlegel a,1, Walter Sinnott-Armstrong b, Adina L. Roskies c, Thalia Wheatley a, Peter Ulric Tse a a Department of Psychological and Brain Sciences, Dartmouth College, HB 6207 Moore Hall, Hanover, NH 03755, USA b Philosophy Department and Kenan Institute for Ethics, Duke University, Box 90432, Durham, NC 27708, USA c Department of Philosophy, Dartmouth College, HB 6035 Thornton Hall, Hanover, NH 03755, USA article info abstract Article history: An increase in brain activity known as the ‘‘readiness potential” (RP) can be seen over cen- Received 14 June 2015 tral scalp locations in the seconds leading up to a volitionally timed movement. This activ- Revised 9 November 2015 ity precedes awareness of the ensuing movement by as much as two seconds and has been Accepted 24 November 2015 hypothesized to reflect preconscious planning and/or preparation of the movement. Using Available online 9 December 2015 a novel experimental design, we teased apart the relative contribution of motor-related and non-motor-related processes to the RP. The results of our experiment reveal that Keywords: robust RPs occured in the absence of movement and that motor-related processes did Readiness potential not significantly modulate the RP. This suggests that the RP measured here is unlikely to Volition Libet reflect preconscious motor planning or preparation of an ensuing movement, and instead Consciousness may reflect decision-related or anticipatory processes that are non-motoric in nature.
    [Show full text]
  • Analysis of a Choice-Reaction Task Yields a New Interpretation of Libet's Experiments ⁎ Christoph S
    Available online at www.sciencedirect.com International Journal of Psychophysiology 67 (2008) 151–157 www.elsevier.com/locate/ijpsycho Fast track report Analysis of a choice-reaction task yields a new interpretation of Libet's experiments ⁎ Christoph S. Herrmann a,b,e, , Michael Pauen b,d,f, Byoung-Kyong Min a, Niko A. Busch a, Jochem W. Rieger c a Otto-von-Guericke-University, Dept. for Biological Psychology, Magdeburg, Germany b Center for Behavioural Brain Sciences, Magdeburg, Germany c Otto-von-Guericke-University, Dept., for Neurology II, Magdeburg, Germany d Humboldt-University, Institute for Philosophy, Berlin, Germany e Max Planck Institute for Human Cognitive and Brain Science, Leipzig, Germany f Berlin School of Mind and Brain, Germany Received 23 March 2007; received in revised form 11 October 2007; accepted 15 October 2007 Available online 22 November 2007 Abstract Benjamin Libet has demonstrated that the readiness potential precedes the time at which participants consciously decide to perform an intentional motor act, and suggested that free will is an illusion. We performed an experiment where participants observed a stimulus on a computer monitor and were instructed to press one of two buttons, depending on the presented stimulus. We found neural activity preceding the motor response, similar to Libet's experiments. However, this activity was already present prior to stimulus presentation, and thus before participants could decide which button to press. Therefore, we argue that this activity does not specifically determine behaviour. Instead, it may reflect a general expectation. This interpretation would not interfere with the notion of free will. © 2007 Elsevier B.V.
    [Show full text]
  • Decoding Upper-Limb Kinematics from Electrocorticography
    Decoding Upper-Limb Kinematics from Electrocorticography Ewan Scott Nurse ORCID: 0000-0001-8981-0074 Submitted in partial fulfillment of the requirements of the degree of Doctor of Philosophy (with coursework component) December 2017 Department of Biomedical Engineering Melbourne School of Engineering The University of Melbourne Abstract Brain-computer interfaces (BCIs) are technologies for assisting individuals with motor impairments. Activity from the brain is recorded and then processed by a computer to control assistive devices. The prominent method for recording neural activity uses microelectrodes that penetrate the cortex to record from localized populations of neurons. This causes a severe inflammatory response, making this method unsuitable after approximately 1-2 years. Electrocorticog- raphy (ECoG), a method of recording potentials from the cortical surface, is a prudent alternative that shows promise as the basis of a clinically viable BCI. This thesis investigates aspects of ECoG relevant to the translation of BCI devices: signal longevity, motor information encoding, and decoding intended movement. Data was assessed from a first-in-human ECoG device trial to quantify changes in ECoG over multiple years. The mean power, calculated daily, was steady for all patients. It was demonstrated that the device could consistently record ECoG signal statistically distinct from noise up to approximately 100 Hz for the duration of the study. Therefore, long-term implanted ECoG can be expected to record movement-related high-gamma signals from humans for many years without deterioration of signal. ECoG was recorded from patients undertaking a two-dimensional center- out task. This data was used to generate encoder-decoder directional tuning models to describe and predict arm movement direction from ECoG.
    [Show full text]
  • A Neural Precursor of the Decision to Withhold Action
    Veto and Vacillation: A Neural Precursor of the Decision to Withhold Action Erman Misirlisoy and Patrick Haggard Downloaded from http://mitprc.silverchair.com/jocn/article-pdf/26/2/296/1780468/jocn_a_00479.pdf by MIT Libraries user on 17 May 2021 Abstract ■ The capacity to inhibit a planned action gives human behavior voluntary omission but not a rule-based omission. We also used its characteristic flexibility. How this mechanism operates and the regular temporal pattern of the action sequences to explore what factors influence a decision to act or not act remain relatively brain processes linked to omitting an action by time-locking EEG unexplored. We used EEG readiness potentials (RPs) to examine averagestotheinferredtimewhenanactionwouldhaveoc- preparatory activity before each action of an ongoing sequence, in curred had it not been omitted. When omissions were instructed which one action was occasionally omitted. We compared RPs be- by a rule, there was a negative-going trend in the EEG, recalling tween sequences in which omissions were instructed by a rule the rising ramp of an RP. No such component was found for (e.g., “omit every fourth action”) and sequences in which the voluntary omissions. The results are consistent with a model in participant themselves freely decided which action to omit. RP which spontaneously fluctuating activity in motor areas of the amplitude was reduced for actions that immediately preceded a brain could bias “free” decisions to act or not. ■ INTRODUCTION with anterior areas generating abstract aspects of a plan In everyday life, our initial impulses do not always produce and posterior motor areas executing them or generating optimal actions.
    [Show full text]
  • Movement-Related Cortical Magnetic Fields Associated with Self-Paced Tongue Protrusion in Humans
    Title Movement-related cortical magnetic fields associated with self-paced tongue protrusion in humans Author(s) Maezawa, Hitoshi; Oguma, Hidetoshi; Hirai, Yoshiyuki; Hisadome, Kazunari; Shiraishi, Hideaki; Funahashi, Makoto Neuroscience Research, 117, 22-27 Citation https://doi.org/10.1016/j.neures.2016.11.010 Issue Date 2017-04 Doc URL http://hdl.handle.net/2115/68828 © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license Rights http://creativecommons.org/licenses/by-nc-nd/4.0/ Rights(URL) http://creativecommons.org/licenses/by-nc-nd/4.0/ Type article (author version) File Information Manuscript.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Movement-related cortical magnetic fields associated with self-paced tongue protrusion in humans Hitoshi Maezawaa,*, Hidetoshi Ogumab, Yoshiyuki Hiraia, Kazunari Hisadomea, Hideaki Shiraishic, Makoto Funahashia aDepartment of Oral Physiology, Graduate School of Dental Medicine, Hokkaido University, Kita-ku, Sapporo, Hokkaido 060-8586, Japan bSchool of Dental Medicine, Hokkaido University, Kita-ku, Sapporo, Hokkaido 060-8586, Japan cDepartment of Pediatrics, Graduate School of Medicine, Hokkaido University, Kita-ku, Sapporo 060-8638, Japan *Corresponding author: Hitoshi Maezawa, DDS, PhD Address: Department of Oral Physiology, Graduate School of Dental Medicine, Hokkaido University, Kita-ku, Sapporo, Hokkaido 060-8586, Japan TEL: 81-11-706-4229; FAX: 81-11-706-4229 E-mail: [email protected] Short title: Readiness
    [Show full text]
  • 1 Event-Related Brain Potentials: an Introduction Michael G
    1 Event-related brain potentials: an introduction Michael G . H. Coles and Michael D . Rugg 1.1 INTRODUCTION This book is concerned with the intersection of two research areas: event-related brain potentials (ERPs) and cognitive psychology. In particular, we will be considering what has been learned and what might be learned about human cognitive func- tion by measuring the .electrical activity of the brain through electrodes placed on the scalp. In this first chapter we focus on the methodology of ERP research and on the problem of isolating ERP components, while in Chapter 2 we review issues that arise in making inferences from ERPs about cognition. We begin by considering how an ERP signal is obtained, as well as how such a signal is analysed. We consider at some length the issue of the definition of a component and we provide a brief review of some of the more well-known com- ponents. This latter review is intended to give a historical context for cognitive ERP research and the chapter as a whole should provide the reader with some understanding of the vocabulary of the ERP researcher and the ‘lore’ of the cognitive electrophysiologist. 1.2 ERP RECORDING AND ANALYSIS In this section we review some of the basic facts and concepts germane to ERP record- ing and analysis. (Portions of this section are derived from Coles eta/. (1990); see also Allison et a/. (1986), Nunez (1981), and Picton (1985), for further information.) 1.2.1 Derivation When a pair of electrodes are attached to the surface of the human scalp and connected to a differential amplifier, the output of the amplifier reveals a pattern of variation in voltage over time.
    [Show full text]
  • Timing of Readiness Potentials Reflect a Decision-Making Process in the Human Brain
    bioRxiv preprint doi: https://doi.org/10.1101/338806; this version posted June 4, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Timing of readiness potentials reflect a decision-making process in the human brain 1 2,1 3 1,4 Kitty K. Lui ,​ Michael D. Nunez ,​ Jessica M. Cassidy ,​ Joachim Vandekerckhove ,​ Steven C. ​ ​ ​ ​ 3,5 1,2,* Cramer ,​ Ramesh Srinivasan ​ ​ 1 Department​ of Cognitive Sciences, University of California, Irvine USA 2 Department​ of Biomedical Engineering, University of California, Irvine USA 3 Department​ of Neurology, University of California, Irvine USA 4 Department​ of Statistics, University of California, Irvine USA 5 Department​ of Anatomy & Neurobiology, University of California, Irvine USA * Corresponding​ Author bioRxiv preprint doi: https://doi.org/10.1101/338806; this version posted June 4, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Perceptual decision making has several underlying components including stimulus encoding, perceptual categorization, response selection, and response execution. Evidence accumulation is believed to be the underlying mechanism of decision-making and plays a decisive role in determining response time. Previous studies in animals and humans have shown parietal cortex activity that exhibits characteristics of evidence accumulation in tasks requiring difficult perceptual categorization to reach a decision.
    [Show full text]
  • ERP TUTORIAL 1 a Brief Introduction to the Use of Event-Related Potentials
    ERP TUTORIAL 1 A Brief Introduction to the Use of Event-Related Potentials (ERPs) in Studies of Perception and Attention Geoffrey F. Woodman Vanderbilt University Vanderbilt Vision Research Center Center for Integrative and Cognitive Neuroscience Abstract Due to the precise temporal resolution of electrophysiological recordings, the event-related potential (ERP) technique has proven particularly valuable for testing theories of perception and attention. Here, I provide a brief tutorial of the ERP technique for consumers of such research and those considering the use of human electrophysiology in their own work. My discussion begins with the basics regarding what brain activity ERPs measure and why they are well suited to reveal critical aspects of perceptual processing, attentional selection, and cognition that are unobservable with behavioral methods alone. I then review a number of important methodological issues and often forgotten facts that should be considered when evaluating or planning ERP experiments. Electroencephalogram (EEG) technique continue to make it one of the most recordings were the first method developed for widely used methods to study the architecture direct and noninvasive measurements brain of cognitive processing. activity from human subjects (Adrian & The primary goal of this tutorial is to Yamagiwa, 1935; Berger, 1929; Jasper, 1937, introduce researchers who are unfamiliar with 1948). By noting when stimuli were presented ERPs to their use, interpretation, and and tasks were performed, early studies dissemination in studies of sensation, examining the raw EEG sought to characterize perception, attention, and cognition. I hope the changes in the state of electrical activity that the uninitiated readers will become better during sensory processing and the consumers of ERP research.
    [Show full text]
  • The Brain, Explained’: a Response Process Theory of Brain Function
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 7 June 2018 doi:10.20944/preprints201806.0092.v1 Short Version of ‘The Brain, Explained’: A Response Process Theory of Brain Function Ari Rappoport The Hebrew University of Jerusalem, Israel [email protected] www.cs.huji.ac.il/~arir Abstract Understanding brain function is one of the most important open problems in science today. At present, there is no concrete theory for how the brain works. Here, a the- ory is presented that provides a detailed mechanistic biological account of the brain’s capacities. Brain function is managed by a response (R) process that is structurally similar to the immune response, and shows anatomical and molecular specificity. Dif- ferent R process stages utilize different cortical layers, hippocampus fields, basal gan- glia paths, GABAergic interneurons, cerebellum paths, and molecular agents such as dopamine, serotonin and opioids. We show how the R process supports hierarchical action sequences, language and thought. The theory is supported by a large body of experimental evidence in many modalities, and accounts for virtually all of the major facts known about the brain at the system level. Keywords. Neuroscience, basal ganglia, cortical layers, cerebellum, habenula, inhi- bition, predictions, dopamine, serotonin, acetylcholine, opioids, mirror neurons, place cells, language, imagery, working memory. 1 Introduction How the brain works is one of the major open problems in science today. Following New- ton, Einstein, Darwin and many others, we understand many aspects of the physical world and life. However, we do not understand how living organisms act and think. These ca- pacities are known to be mediated by the brain, but currently there exists no brain theory or anything close to it [Grillner, 2014], despite the enormous amount of invested research effort.
    [Show full text]