Event-Related Delta, Theta, Alpha and Gamma Correlates to Auditory Oddball Processing During Vipassana Meditation
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UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Neurophysiologic correlates to sensory and cognitive processing in altered states of consciousness Permalink https://escholarship.org/uc/item/3gv8j4jk Author Cahn, Baruch Rael Publication Date 2007 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California i UNIVERSITY OF CALIFORNIA, SAN DIEGO Neurophysiologic Correlates to Sensory and Cognitive Processing in Altered States of Consciousness A Dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Neurosciences by Baruch Rael Cahn Committee in charge: Mark Geyer, Chair John Polich, Co-Chair Steve Hillyard Martin Paulus Jaime Pineda Vilayanur Ramachandran Franz Vollenweider 2007 ii Copyright Baruch Rael Cahn, 2007 All Rights Reserved iii The Dissertation of Baruch Rael Cahn is approved, and it is acceptable in quality and form for publication on microfilm: _______________ _______________ _______________ _______________ _______________ _______________ Co-Chair _______________ Chair University of California, San Diego 2007 iii iv DEDICATION I dedicate this thesis in loving memory to my sister Lotus Blossom Cahn who passed away in 2005 from cancer of the thymus. May the love she brought to all those whose lives she touched live on through us and reach out to the world we inhabit. iv v TABLE OF CONTENTS Signature Page ………………………………………………………………..………. iii Dedication ……………….……………………………………………………………. iv Table of Contents ……………………………………………………………..……… -
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. -
Integration of EEG-FMRI in an Auditory Oddball Paradigm Using Joint Independent Component Analysis Jain Mangalathu Arumana Marquette University
Marquette University e-Publications@Marquette Dissertations (2009 -) Dissertations, Theses, and Professional Projects Integration of EEG-FMRI in an Auditory Oddball Paradigm Using Joint Independent Component Analysis Jain Mangalathu Arumana Marquette University Recommended Citation Mangalathu Arumana, Jain, "Integration of EEG-FMRI in an Auditory Oddball Paradigm Using Joint Independent Component Analysis" (2012). Dissertations (2009 -). Paper 210. http://epublications.marquette.edu/dissertations_mu/210 INTEGRATION OF EEG-FMRI IN AN AUDITORY ODDBALL PARADIGM USING JOINT INDEPENDENT COMPONENT ANALYSIS by Jain Mangalathu Arumana, B.Sc., M.Sc. A dissertation submitted to the Faculty of the Graduate School, Marquette University, in Partial Fulfillment of the Requirements for the Degree of Doctor Philosophy Milwaukee, Wisconsin August 2012 ABSTRACT INTEGRATION OF EEG-FMRI IN AN AUDITORY ODDBALL PARADIGM USING JOINT INDEPENDENT COMPONENT ANALYSIS Jain Mangalathu Arumana, B.Sc., M.Sc. Marquette University, 2012 The integration of event-related potential (ERP) and functional magnetic resonance imaging (fMRI) can contribute to characterizing neural networks with high temporal and spatial resolution. The overall objective of this dissertation is to determine the sensitivity and limitations of joint independent component analysis (jICA) within- subject for integration of ERP and fMRI data collected simultaneously in a parametric auditory oddball paradigm. The main experimental finding in this work is that jICA revealed significantly stronger and more extensive activity in brain regions associated with the auditory P300 ERP than a P300 linear regression analysis, both at the group level and within-subject. The results suggest that, with the incorporation of spatial and temporal information from both imaging modalities, jICA is more sensitive to neural sources commonly observed with ERP and fMRI compared to a linear regression analysis. -
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. -
ERP Peaks Review 1 LINKING BRAINWAVES to the BRAIN
ERP Peaks Review 1 LINKING BRAINWAVES TO THE BRAIN: AN ERP PRIMER Alexandra P. Fonaryova Key, Guy O. Dove, and Mandy J. Maguire Psychological and Brain Sciences University of Louisville Louisville, Kentucky Short title: ERPs Peak Review. Key Words: ERP, peak, latency, brain activity source, electrophysiology. Please address all correspondence to: Alexandra P. Fonaryova Key, Ph.D. Department of Psychological and Brain Sciences 317 Life Sciences, University of Louisville Louisville, KY 40292-0001. [email protected] ERP Peaks Review 2 Linking Brainwaves To The Brain: An ERP Primer Alexandra Fonaryova Key, Guy O. Dove, and Mandy J. Maguire Abstract This paper reviews literature on the characteristics and possible interpretations of the event- related potential (ERP) peaks commonly identified in research. The description of each peak includes typical latencies, cortical distributions, and possible brain sources of observed activity as well as the evoking paradigms and underlying psychological processes. The review is intended to serve as a tutorial for general readers interested in neuropsychological research and a references source for researchers using ERP techniques. ERP Peaks Review 3 Linking Brainwaves To The Brain: An ERP Primer Alexandra P. Fonaryova Key, Guy O. Dove, and Mandy J. Maguire Over the latter portion of the past century recordings of brain electrical activity such as the continuous electroencephalogram (EEG) and the stimulus-relevant event-related potentials (ERPs) became frequent tools of choice for investigating the brain’s role in the cognitive processing in different populations. These electrophysiological recording techniques are generally non-invasive, relatively inexpensive, and do not require participants to provide a motor or verbal response. -
Reconfiguration of Brain Network Between Resting-State and Oddball Paradigm
Reconfiguration of Brain Network between Resting-state and Oddball Paradigm Fali Li1, Chanlin Yi1, Yuanyuan Liao1, Yuanling Jiang1, Yajing Si1, Limeng Song1, Tao Zhang1, Dezhong Yao1,2, Yangsong Zhang1,2, 3, Zehong Cao4 and Peng Xu1,2 1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 611731, China 2School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China 3School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, 621010, China 4Centre for Artificial Intelligence, Faculty of Engineering and IT, University of Technology Sydney, NSW, Australia Corresponding author: Yangsong Zhang ([email protected]), Peng Xu ([email protected]). This work was supported by the National Key Research and Development Plan of China (#2017YFB1002501), the National Natural Science Foundation of China (#61522105, #61603344, #81401484, and #81330032), the Open Foundation of Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology (No. HNBBL17001), and the Longshan academic talent research supporting program of SWUST (#17LZX692). ABSTRACT The oddball paradigm is widely applied to the investigation of multiple cognitive functions. Prior studies have explored the cortical oscillation and power spectral differing from the resting-state conduction to oddball paradigm, but whether brain networks -
Low- and High-Frequency Cortical Brain Oscillations Reflect Dissociable Mechanisms of Concurrent Speech Segregation in Noise
Hearing Research 361 (2018) 92e102 Contents lists available at ScienceDirect Hearing Research journal homepage: www.elsevier.com/locate/heares Low- and high-frequency cortical brain oscillations reflect dissociable mechanisms of concurrent speech segregation in noise * Anusha Yellamsetty a, Gavin M. Bidelman a, b, c, a School of Communication Sciences & Disorders, University of Memphis, Memphis, TN, USA b Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA c Univeristy of Tennessee Health Sciences Center, Department of Anatomy and Neurobiology, Memphis, TN, USA article info abstract Article history: Parsing simultaneous speech requires listeners use pitch-guided segregation which can be affected by Received 24 May 2017 the signal-to-noise ratio (SNR) in the auditory scene. The interaction of these two cues may occur at Received in revised form multiple levels within the cortex. The aims of the current study were to assess the correspondence 9 December 2017 between oscillatory brain rhythms and determine how listeners exploit pitch and SNR cues to suc- Accepted 12 January 2018 cessfully segregate concurrent speech. We recorded electrical brain activity while participants heard Available online 2 February 2018 double-vowel stimuli whose fundamental frequencies (F0s) differed by zero or four semitones (STs) presented in either clean or noise-degraded (þ5 dB SNR) conditions. We found that behavioral identi- Keywords: fi fi EEG cation was more accurate for vowel mixtures with larger pitch separations but F0 bene t interacted Time-frequency analysis with noise. Time-frequency analysis decomposed the EEG into different spectrotemporal frequency Double-vowel segregation bands. Low-frequency (q, b) responses were elevated when speech did not contain pitch cues (0ST > 4ST) F0-benefit or was noisy, suggesting a correlate of increased listening effort and/or memory demands. -
Validating a Novel Oddball Paradigm in Virtual Reality
bioRxiv preprint doi: https://doi.org/10.1101/749192; this version posted March 23, 2020. 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. Running head: NOVEL ODDBALL PARADIGM IN VIRTUAL REALITY Real brains in virtual worlds: Validating a novel oddball paradigm in virtual reality Jonathan W. P. Kuziek a, Abdel R. Tayema, Jennifer I. Burrella, Eden X. Redman a, Jeff Murrayc, Jenna Reinenc, Aldis Sipolinsc, Kyle E. Mathewsona,b a Department of Psychology, Faculty of Science, University of Alberta, b Neuroscience and Mental Health Institute, Faculty of Medicine and Dentistry, University of Alberta c IBM Research: Education & Cognitive Sciences Type of article: Full length research paper Number of text pages: 30 (including references) Number of figures: 7 Number of tables: 5 Corresponding Author: Kyle E. Mathewson, Ph.D. Assistant Professor of Cognitive Neuroscience Department of Psychology P-455 Biological Sciences University of Alberta Edmonton, AB, Canada, T6G 2E9 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/749192; this version posted March 23, 2020. 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. NOVEL ODDBALL PARADIGM IN VIRTUAL REALITY 1 1 Electroencephalography (EEG) research is typically conducted in controlled laboratory settings. This 2 limits the generalizability to real-world situations. Virtual reality (VR) sits as a transitional tool that 3 provides tight experimental control with more realistic stimuli. To test the validity of using VR for event- 4 related potential (ERP) research we used a well-established paradigm, the oddball task. -
Auditory P300 and N100 Components As Intermediate Phenotypes for Psychotic Disorder: Familial Liability and Reliability ⇑ Claudia J.P
Clinical Neurophysiology 122 (2011) 1984–1990 Contents lists available at ScienceDirect Clinical Neurophysiology journal homepage: www.elsevier.com/locate/clinph Auditory P300 and N100 components as intermediate phenotypes for psychotic disorder: Familial liability and reliability ⇑ Claudia J.P. Simons a,b, , Anke Sambeth c, Lydia Krabbendam a,e, Stefanie Pfeifer a, Jim van Os a,d, Wim J. Riedel c a Department of Psychiatry and Neuropsychology, Maastricht University, European Graduate School of Neuroscience, SEARCH, P.O. Box 616, 6200 MD Maastricht, The Netherlands b GGzE, Institute of Mental Health Care Eindhoven en de Kempen, P.O. Box 909, 5600 AX Eindhoven, The Netherlands c Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands d Visiting Professor of Psychiatric Epidemiology, King’s College London, King’s Health Partners, Department of Psychosis Studies, Institute of Psychiatry, UK e Centre Brain and Learning, Department of Psychology and Education, VU University Amsterdam, van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands article info highlights Article history: A reliable N100 latency delay was found in unaffected siblings of patients with a psychotic disorder. Accepted 28 February 2011 P300 amplitude and latency were not found to be affected in siblings. Available online 1 April 2011 Short-term test–retest reliability of N100 and P300 components were sound across patients, siblings and controls, with the main exception of N100 latency in patients. Keywords: Electroencephalography Event-related potentials abstract Psychoses Schizophrenia Objective: Abnormalities of the auditory P300 are a robust finding in patients with psychosis. The pur- Test–retest poses of this study were to determine whether patients with a psychotic disorder and their unaffected Relatives siblings show abnormalities in P300 and N100 and to establish test–retest reliabilities for these ERP com- ponents. -
Evidence from the P3 Wave and the Lateralized Readiness Potential
Psychophysiology, 46 (2009), 776–786. Wiley Periodicals, Inc. Printed in the USA. Copyright r 2009 Society for Psychophysiological Research DOI: 10.1111/j.1469-8986.2009.00817.x Impaired response selection in schizophrenia: Evidence from the P3 wave and the lateralized readiness potential STEVEN J. LUCK,a EMILY S. KAPPENMAN,a REBECCA L. FULLER,b BENJAMIN ROBINSON,b ANN SUMMERFELT,b and JAMES M. GOLDb aUniversity of California, Davis, California, USA bMaryland Psychiatric Research Center, Baltimore, Maryland, USA Abstract Reaction times (RTs) are substantially prolonged in schizophrenia patients, but the latency of the P3 component is not. This suggests that the RT slowing arises from impairments in a late stage of processing. To test this hypothesis, 20 schizophrenia patients and 20 control subjects were tested in a visual oddball paradigm that was modified to allow measurement of the lateralized readiness potential (LRP), an index of stimulus-response translation processes. Difference waves were used to isolate the LRP and the P3 wave. Patients and control subjects exhibited virtually identical P3 difference waves, whereas the LRP difference wave was reduced in amplitude and delayed in latency in the patients. These results indicate that, at least in simple tasks, the delayed RTs observed in schizophrenia are primarily a consequence of impairments in the response selection and preparation processes that follow perception and catego- rization. Descriptors: Schizophrenia, P3, Lateralized readiness potential, LRP Although delusions and hallucinations are the most dramatic slowing in schizophrenia led the field to largely abandon the features of schizophrenia, this disorder is also accompanied by investigation of this robust empirical finding. -
The Learning-Oddball Paradigm: Data of 24 Separate Individuals Illustrate Its Potential Usefulness As a New Clinical Tool ⇑ Marijtje L.A
Clinical Neurophysiology 124 (2013) 514–521 Contents lists available at SciVerse ScienceDirect Clinical Neurophysiology journal homepage: www.elsevier.com/locate/clinph The learning-oddball paradigm: Data of 24 separate individuals illustrate its potential usefulness as a new clinical tool ⇑ Marijtje L.A. Jongsma a,c, , Clementina M. van Rijn a, Niels J.H.M. Gerrits a, Tom Eichele b, Bert Steenbergen c, Joseph H.R. Maes a, Rodrigo Quian Quiroga d,e a Donders Institute for Brain, Cognition, and Behavior, DCC, Radboud University Nijmegen, Montessorilaan 3, 6525 HR Nijmegen, The Netherlands b Department of Biological and Medical Psychology, Division of Cognitive Neuroscience, University of Bergen, Building for Basic Biological Research, Jonas Lies vei 91, N-5009 Bergen, Norway c Behavioural Science Institute, Radboud University Nijmegen, Montessorilaan 3, 6525 HR Nijmegen, The Netherlands d Department of Engineering, University of Leicester, LE1 7RH Leicester, United Kingdom e Leibniz Institute for Neurobiology, University of Magdeburg, Germany article info highlights Article history: An ERP study using a learning-oddball paradigm was employed to assess pattern detection in individual Accepted 4 September 2012 participants. Available online 10 October 2012 ERP changes across learning trials corresponded to sigmoid curves that could be established in each individual participant. Keywords: The ERP/learning-oddball paradigm implicates a potential tool for assessing pattern detection capacities ERP in individuals. Single-trial Pattern detection N2 abstract P3 Individuality Objective: In a previous article reporting group data, we presented event-related potentials (ERPs), which were evoked by randomly presented target stimuli in a ‘learning-oddball’ task. These ERPs contained a large N2-P3 complex that decreased and a Contingent Negative Variation (CNV) that increased when the targets were presented in a regular fashion. -
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.