Low- and High-Frequency Cortical Brain Oscillations Reflect Dissociable Mechanisms of Concurrent Speech Segregation in Noise
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Effects of Ketamine Administration on Auditory Information Processing in the Neocortex of Nonhuman Primates
ORIGINAL RESEARCH published: 19 August 2020 doi: 10.3389/fpsyt.2020.00826 Effects of Ketamine Administration on Auditory Information Processing in the Neocortex of Nonhuman Primates Misako Komatsu 1,2* and Noritaka Ichinohe 1,2 1 Laboratory for Molecular Analysis of Higher Brain Functions, RIKEN Center for Brain Science, Saitama, Japan, 2 Department of Ultrastructural Research, National Center of Neurology and Psychiatry, Tokyo, Japan Ketamine, an N-methyl-D-aspartate (NMDA) receptor antagonist, exerts broad effects on consciousness and perception. Since NMDA receptor antagonists induce cognitive impairments, ketamine has been used for translational research on several psychiatric Edited by: diseases, such as schizophrenia. Whereas the effects of ketamine on cognitive functions Neal R. Swerdlow, have been extensively studied, studies on the effects of ketamine on simple sensory University of California, San Diego, United States information processing remain limited. In this study, we investigated the cortex-wide Reviewed by: effects of ketamine administration on auditory information processing in nonhuman Gregor Leicht, primates using whole-cortical electrocorticography (ECoG). We first recorded ECoG University Medical Center Hamburg-Eppendorf, Germany from awake monkeys on presenting auditory stimuli of different frequencies or different Yosuke Morishima, durations. We observed auditory evoked responses (AERs) across the cortex, including in University of Bern, Switzerland frontal, parietal, and temporal areas, while feature-specific responses were obtained *Correspondence: around the temporal sulcus. Next, we examined the effects of ketamine on cortical Misako Komatsu [email protected] auditory information processing. We conducted ECoG recordings from monkeys that had been administered anesthetic doses of ketamine from 10 to 180 min following Specialty section: administration. -
Mismatch Negativity and Stimulus-Preceding Negativity in Paradigms of Increasing Auditory Complexity: a Possible Role in Predictive Coding
entropy Article Mismatch Negativity and Stimulus-Preceding Negativity in Paradigms of Increasing Auditory Complexity: A Possible Role in Predictive Coding Francisco J. Ruiz-Martínez * , Antonio Arjona and Carlos M. Gómez Human Psychobiology Lab, Experimental Psychology Department, University of Sevilla, 41018 Seville, Spain; [email protected] (A.A.); [email protected] (C.M.G.) * Correspondence: [email protected] Abstract: The auditory mismatch negativity (MMN) has been considered a preattentive index of auditory processing and/or a signature of prediction error computation. This study tries to demon- strate the presence of an MMN to deviant trials included in complex auditory stimuli sequences, and its possible relationship to predictive coding. Additionally, the transfer of information between trials is expected to be represented by stimulus-preceding negativity (SPN), which would possibly fit the predictive coding framework. To accomplish these objectives, the EEG of 31 subjects was recorded during an auditory paradigm in which trials composed of stimulus sequences with increasing or decreasing frequencies were intermingled with deviant trials presenting an unexpected ending. Our results showed the presence of an MMN in response to deviant trials. An SPN appeared during the intertrial interval and its amplitude was reduced in response to deviant trials. The presence of Citation: Ruiz-Martínez, F.J.; Arjona, an MMN in complex sequences of sounds and the generation of an SPN component, with different A.; Gómez, C.M. Mismatch Negativity and Stimulus-Preceding amplitudes in deviant and standard trials, would support the predictive coding framework. Negativity in Paradigms of Increasing Auditory Complexity: A Possible Keywords: mismatch negativity; stimulus preceding negativity; contingent negative variation; Role in Predictive Coding. -
A Critical Review of the Deviance Detection Theory of Mismatch Negativity
Review A Critical Review of the Deviance Detection Theory of Mismatch Negativity Jamie A. O’Reilly 1,* and Amonrat O’Reilly 2 1 College of Biomedical Engineering, Rangsit University, Pathumthani 12000, Thailand 2 Thailand Institute for Science and Technological Research, Pathumthani 12120, Thailand; [email protected] * Correspondence: [email protected] Abstract: Mismatch negativity (MMN) is a component of the difference waveform derived from passive auditory oddball stimulation. Since its inception in 1978, this has become one of the most popular event-related potential techniques, with over two-thousand published studies using this method. This is a testament to the ingenuity and commitment of generations of researchers engaging in basic, clinical and animal research. Despite this intensive effort, high-level descriptions of the mechanisms theorized to underpin mismatch negativity have scarcely changed over the past four decades. The prevailing deviance detection theory posits that MMN reflects inattentive detection of difference between repetitive standard and infrequent deviant stimuli due to a mismatch between the unexpected deviant and a memory representation of the standard. Evidence for these mechanisms is inconclusive, and a plausible alternative sensory processing theory considers fundamental principles of sensory neurophysiology to be the primary source of differences between standard and deviant responses evoked during passive oddball stimulation. By frequently being restated without appropri- ate methods to exclude alternatives, the potentially flawed deviance detection theory has remained largely dominant, which could lead some researchers and clinicians to assume its veracity implicitly. Citation: O’Reilly, J.A.; O’Reilly, A. It is important to have a more comprehensive understanding of the source(s) of MMN generation A Critical Review of the Deviance before its widespread application as a clinical biomarker. -
Using Somatosensory Mismatch Responses As a Window Into Somatotopic Processing of Tactile Stimulation
Received: 9 June 2017 | Revised: 18 October 2017 | Accepted: 19 October 2017 DOI: 10.1111/psyp.13030 ORIGINAL ARTICLE Using somatosensory mismatch responses as a window into somatotopic processing of tactile stimulation Guannan Shen1 | Nathan J. Smyk1 | Andrew N. Meltzoff2 | Peter J. Marshall1 1 Department of Psychology, Temple Abstract University, Philadelphia, Pennsylvania, USA Brain responses to tactile stimulation have often been studied through the examina- 2 Institute for Learning and Brain Sciences, tion of ERPs elicited to touch on the body surface. Here, we examined two factors University of Washington, Seattle, potentially modulating the amplitude of the somatosensory mismatch negativity Washington, USA (sMMN) and P300 responses elicited by touch to pairs of body parts: (a) the distance between the representation of these body parts in somatosensory cortex, and (b) the Correspondence physical distances between the stimulated points on the body surface. The sMMN Guannan Shen, Department of and the P300 response were elicited by tactile stimulation in two oddball protocols. Psychology, Temple University, 1701 N. 13th Street, Philadelphia, PA 19122, One protocol leveraged a discontinuity in cortical somatotopic organization, and USA. involved stimulation of either the neck or the hand in relation to stimulation of the Email: [email protected] lip. The other protocol involved stimulation to the third or fifth finger in relation to the second finger. The neck-lip pairing resulted in significantly larger sMMN Funding information responses (with shorter latencies) than the hand-lip pairing, whereas the reverse was National Institutes of Health true for the amplitude of the P300. Mean sMMN amplitude and latency did not differ (1R21HD083756), National Science Foundation (BCS-1460889) between finger pairings. -
Auditory P3a and P3b Neural Generators in Schizophrenia: an Adaptive Sloreta P300 Localization Approach
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UPCommons. Portal del coneixement obert de la UPC This is an author-edited version of the accepted manuscript published in Schizophrenia Research. The final publication is available at Elsevier via http://dx.doi.org/10.1016/j.schres.2015.09.028 Auditory P3a and P3b neural generators in schizophrenia: An adaptive sLORETA P300 localization approach Alejandro Bachiller1, Sergio Romero2,3, Vicente Molina4,5, Joan F. Alonso2,3, Miguel A. Mañanas2,3, Jesús Poza1,5,6 and Roberto Hornero1,6 1 Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain. {[email protected]; [email protected]; [email protected]} 2 Department of Automatic Control (ESAII), Biomedical Engineering Research Center (CREB), Universitat Politècnica de Catalunya (UPC), 08028 Barcelona, Spain. {[email protected]; [email protected]; [email protected]} 3 CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN) 4 Psychiatry Department, Hospital Clínico Universitario, Facultad de Medicina, Universidad de Valladolid, 47005 Valladolid, Spain {[email protected]} 5 INCYL, Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, 37007 Salamanca, Spain 6 IMUVA, Instituto de Investigación en Matemáticas, Universidad de Valladolid, 47011 Valladolid, Spain Corresponding author. Alejandro Bachiller, Biomedical Engineering Group, E.T.S. Ingenieros de Telecomunicación, Universidad de Valladolid, 47011 Valladolid, Spain Tel: +34 983423000 ext. 5589; fax: +34 983423667; Email address: [email protected] Abstract The present study investigates the neural substrates underlying cognitive processing in schizophrenia (Sz) patients. -
Event-Related Delta, Theta, Alpha and Gamma Correlates to Auditory Oddball Processing During Vipassana Meditation
doi:10.1093/scan/nss060 SCAN (2013) 8,100^111 Event-related delta, theta, alpha and gamma correlates to auditory oddball processing during Vipassana meditation B. Rael Cahn,1,2,3 Arnaud Delorme,3,4,5 and John Polich2 1Department of Psychiatry, University of California, Irvine, Irvine, 2Molecular and Integrative Neurosciences Department, The Scripps Research Institute, La Jolla, CA,USA, 3Meditation Research Institute, Rishikesh, Uttarakhand, India, 4Institute of Neural Computation, University of California, San Diego, La Jolla, CA, USA 5CERCO, CNRS, Universite´ Paul Sabatier, Toulouse, France Long-term Vipassana meditators sat in meditation vs. a control (instructed mind wandering) states for 25 min, electroencephalography (EEG) was recorded and condition order counterbalanced. For the last 4 min, a three-stimulus auditory oddball series was presented during both meditation and control periods through headphones and no task imposed. Time-frequency analysis demonstrated that meditation relative to the control condition evinced decreased evoked delta (2–4 Hz) power to distracter stimuli concomitantly with a greater event-related reduction of late (500–900 ms) alpha-1 (8–10 Hz) activity, which indexed altered dynamics of attentional engagement to distracters. Additionally, standard stimuli were associated with Downloaded from increased early event-related alpha phase synchrony (inter-trial coherence) and evoked theta (4–8 Hz) phase synchrony, suggesting enhanced processing of the habituated standard background stimuli. Finally, during meditation, there was a greater differential early-evoked gamma power to the different stimulus classes. Correlation analysis indicated that this effect stemmed from a meditation state-related increase in early distracter-evoked gamma power and phase synchrony specific to longer-term expert practitioners. -
Prediction Errors Explain Mismatch Signals of Neurons in the Medial Prefrontal Cortex
bioRxiv preprint doi: https://doi.org/10.1101/778928; this version posted September 23, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title: 2 3 4 Prediction errors explain mismatch signals of neurons in the medial 5 prefrontal cortex 6 7 8 9 Authors 10 11 Lorena Casado-Román1,2, David Pérez-González1,2 & Manuel S. Malmierca1,2,3,* 12 13 14 Affiliations: 15 1Cognitive and Auditory Neuroscience Laboratory, Institute of Neuroscience of Castilla y León 16 (INCYL), University of Salamanca, Salamanca 37007, Castilla y León, Spain 17 2The Salamanca Institute for Biomedical Research (IBSAL), Salamanca 37007, Castilla y León, 18 Spain 19 3Department of Cell Biology and Pathology, Faculty of Medicine, Campus Miguel de Unamuno, 20 University of Salamanca, Salamanca 37007, Castilla y León, Spain 21 22 *Correspondence: [email protected] 23 24 25 1 bioRxiv preprint doi: https://doi.org/10.1101/778928; this version posted September 23, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 26 27 28 29 30 31 Abstract 32 33 According to predictive coding theory, perception emerges through the interplay of neural circuits 34 that generate top-down predictions about environmental statistical regularities and those that 35 generate bottom-up error signals to sensory deviations. Prediction error signals are hierarchically 36 organized from subcortical structures to the auditory cortex. Beyond the auditory cortex, the 37 prefrontal cortices integrate error signals to update prediction models. -
MATLAB-Based Tools for BCI Research
In: (B+H)CI: The Human in Brain-Computer Interfaces and the Brain in Human- Computer Interaction. Desney S Tan, Anton Nijholt (eds.) MATLAB-Based Tools for BCI Research Arnaud Delorme1,2,3, Christian Kothe4, Andrey Vankov1, Nima Bigdely-Shamlo1, Robert Oostenveld5, Thorsten Zander4, Scott Makeig1 [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] berlin.de, [email protected] 1. Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA, USA 2. Université de Toulouse, UPS, Centre de Recherche Cerveau et Cognition, Toulouse, France 3. CNRS, CerCo, Toulouse, France 4. Department of Psychology and Ergonomics, Chair Human-Machine Systems, Berlin Institute of Technology, Berlin, Germany 5. Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands Abstract We first review the range of standalone and MATLAB-based software currently freely available to BCI researchers. We then discuss two MATLAB-centered solutions for realtime data streaming, the environments FieldTrip (Donders Institute, Nijmegen) and DataSuite (DataRiver, Producer, MatRiver) (Swartz Center, La Jolla). We illustrate the relative simplicity of coding BCI feature extraction and classification under MATLAB (The Mathworks, Inc.) using a minimalist BCI example, and then describe BCILAB (Team PhyPa, Berlin), a new BCI package that uses the data structures and extends the capabilities of the widely used EEGLAB signal processing environment. 2 Introduction Brain Computer Interface (BCI) systems and algorithms allow the use of brain signals as volitional communication devices or more generally create some sort of useful interconnection between the operation of a machine system and the brain activity of a human or animal subject using, engaged with, or monitored by the system. -
Evaluation of a Brief Neurometric Battery for the Detection Of
W&M ScholarWorks Dissertations, Theses, and Masters Projects Theses, Dissertations, & Master Projects 2015 Evaluation of a Brief Neurometric Battery for the Detection of Neurocognitive Changes Associated with Amnestic Mild Cognitive Impairment and Probable Alzheimer's Disease Emily Christine Cunningham College of William & Mary - Arts & Sciences Follow this and additional works at: https://scholarworks.wm.edu/etd Part of the Cognitive Psychology Commons Recommended Citation Cunningham, Emily Christine, "Evaluation of a Brief Neurometric Battery for the Detection of Neurocognitive Changes Associated with Amnestic Mild Cognitive Impairment and Probable Alzheimer's Disease" (2015). Dissertations, Theses, and Masters Projects. Paper 1539626812. https://dx.doi.org/doi:10.21220/s2-2b9c-2n42 This Thesis is brought to you for free and open access by the Theses, Dissertations, & Master Projects at W&M ScholarWorks. It has been accepted for inclusion in Dissertations, Theses, and Masters Projects by an authorized administrator of W&M ScholarWorks. For more information, please contact [email protected]. Evaluation of a Brief Neurometric Battery for the Detection of Neurocognitive Changes Associated with Amnestic Mild Cognitive Impairment and Probable Alzheimer’s Disease Emily Christine Cunningham Williamsburg, Virginia Bachelor of Arts, The College of William and Mary, 2011 A Thesis Presented to the Graduate Faculty of the College of William and Mary in Candidacy for the Degree of Master of Arts Experimental Psychology The College of William and Mary August, 2015 APPROVAL PAGE This Thesis is submitted in partial fulfillment of the requirements for the degree of Master of Arts Emily Christine/Cunningham Approved by the Committee, June, 2015 / Committee Chair Professor Paul D. -
The Mismatch Negativity (MMN) – a Unique Window to Disturbed Central Auditory Processing in Ageing and Different Clinical Conditions ⇑ R
Clinical Neurophysiology 123 (2012) 424–458 Contents lists available at SciVerse ScienceDirect Clinical Neurophysiology journal homepage: www.elsevier.com/locate/clinph Invited Review The mismatch negativity (MMN) – A unique window to disturbed central auditory processing in ageing and different clinical conditions ⇑ R. Näätänen a,b,c, , T. Kujala c,d, C. Escera e,f, T. Baldeweg g,h, K. Kreegipuu a, S. Carlson i,j,k, C. Ponton l a Institute of Psychology, University of Tartu, Tartu, Estonia b Center of Integrative Neuroscience (CFIN), University of Aarhus, Aarhus, Denmark c Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland d Cicero Learning, University of Helsinki, Helsinki, Finland e Institute for Brain, Cognition and Behavior (IR3C), University of Barcelona, Barcelona, Catalonia, Spain f Cognitive Neuroscience Research Group, Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Catalonia, Spain g Institute of Child Health, University College London, London, UK h Great Ormond Street Hospital for Sick Children NHS Trust, London, UK i Neuroscience Unit, Institute of Biomedicine/Physiology, University of Helsinki, Helsinki, Finland j Brain Research Unit, Low Temperature Laboratory, Aalto University School of Science and Technology, Espoo, Finland k Medical School, University of Tampere, Tampere, Finland l Compumedics NeuroScan, Santa Fe, NM, USA article info highlights Article history: The mismatch negativity (MMN) indexes different types of central auditory abnormalities in different Accepted 20 September 2011 neuropsychiatric, neurological, and neurodevelopmental disorders. Available online 13 December 2011 The diminished amplitude/prolonged peak latency observed in patients usually indexes decreased audi- tory discrimination. Keywords: An MMN deficit may also index cognitive and functional decline shared by different disorders irrespec- The mismatch negativity (MMN) tive of their specific aetiology and symptomatology. -
Gamma and Beta Frequency Oscillations in Response to Novel Auditory Stimuli: a Comparison of Human Electroencephalogram (EEG) Data with in Vitro Models
Gamma and beta frequency oscillations in response to novel auditory stimuli: A comparison of human electroencephalogram (EEG) data with in vitro models Corinna Haenschel*†, Torsten Baldeweg‡, Rodney J. Croft*, Miles Whittington§, and John Gruzelier* *Division of Neuroscience and Psychological Medicine, Imperial College School of Medicine, London W6 8RP, United Kingdom; ‡Institute of Child Health and Great Ormond Street Hospital for Sick Children, University College London, London WC1N 2AP, United Kingdom; and §School of Biomedical Sciences, University of Leeds, Leeds LS2 9NL, United Kingdom Communicated by Nancy J. Kopell, Boston University, Boston, MA, April 10, 2000 (received for review December 15, 1999) Investigations using hippocampal slices maintained in vitro have neuronal assembly within which synchronization is possible (11). demonstrated that bursts of oscillatory field potentials in the This observation is complementary to the demonstration that gamma frequency range (30–80 Hz) are followed by a slower long-range (multimodal) sensory coding is performed at beta oscillation in the beta 1 range (12–20 Hz). In this study, we frequencies, whereas local synchronization occurs at gamma demonstrate that a comparable gamma-to-beta transition is seen frequencies (12). in the human electroencephalogram (EEG) in response to novel Transient bursts of gamma oscillations in the human electro- auditory stimuli. Correlations between gamma and beta 1 activity encephalogram (EEG) can be detected in response to sensory revealed a high degree of interdependence of synchronized oscil- stimulation (13). They can either be tightly time and phase lations in these bands in the human EEG. Evoked (stimulus-locked) locked to the stimulus (termed stimulus-evoked gamma oscilla- gamma oscillations preceded beta 1 oscillations in response to tions) (14), or they may occur with variable latency (termed novel stimuli, suggesting that this may be analogous to the stimulus-induced gamma oscillations) (15). -
ERP CORE: an Open Resource for Human Event-Related Potential Research
NeuroImage 225 (2021) 117465 Contents lists available at ScienceDirect NeuroImage journal homepage: www.elsevier.com/locate/neuroimage ERP CORE: An open resource for human event-related potential research Emily S. Kappenman a,b,∗, Jaclyn L. Farrens a, Wendy Zhang a,b, Andrew X. Stewart c, Steven J. Luck c a San Diego State University, Department of Psychology, San Diego, CA, 92120, USA b SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, 92120, USA c University of California, Davis, Center for Mind & Brain and Department of Psychology, Davis, CA, 95616, USA a r t i c l e i n f o a b s t r a c t Keywords: Event-related potentials (ERPs) are noninvasive measures of human brain activity that index a range of sensory, Event-related potentials cognitive, affective, and motor processes. Despite their broad application across basic and clinical research, there EEG is little standardization of ERP paradigms and analysis protocols across studies. To address this, we created ERP Data quality CORE (Compendium of Open Resources and Experiments), a set of optimized paradigms, experiment control Open science scripts, data processing pipelines, and sample data (N = 40 neurotypical young adults) for seven widely used ERP Reproducibility components: N170, mismatch negativity (MMN), N2pc, N400, P3, lateralized readiness potential (LRP), and error- related negativity (ERN). This resource makes it possible for researchers to 1) employ standardized ERP paradigms in their research, 2) apply carefully designed analysis pipelines and use a priori selected parameters for data processing, 3) rigorously assess the quality of their data, and 4) test new analytic techniques with standardized data from a wide range of paradigms.