Scott Makeig, Cognitive Neuroscience

Scott Makeig, Ph.D.
Research Scientist & Director,
Swartz Center for Computational Neuroscience (SCCN)
Institute for Neural Computation (INC)
University of California San Diego (UCSD)
La Jolla CA 92093-0559

My primary research interest is in analysis and modeling of human cognitive event-related brain dynamics as captured by high-dimensional EEG, MEG and other imaging modalities including simultaneous eye tracking and body motion capture, an approach I have termed mobile brain/body imaging (MoBI).
Brain imaging analysis approaches I and colleagues have pioneered include time-frequency analysis, independent component analysis (ICA), and neural network and machine learning methods. With Mark Inlow, Tzyy-Ping Jung and others, I have studied the dynamics of performance and electrophysiology accompanying alertness lapses during sustained monitoring tasks, and have used the results of this research to design real-time alertness monitoring systems, an example of the rapidly emerging field of neural human-system interface technology. I was the originator and remain the PI and co-developer with Arnaud Delorme of the widely used EEGLAB signal processing environment for MATLAB.
Currently, I am working to apply Independent Component Analysis to EEG and related data to open new windows for noninvasive observation of the relationship between brain dynamics, cognition, and behavior -- in effect working to develop a new brain imaging modality that I call Mobile Brain/Body Imaging (MoBI).
I direct the Swartz Center for Computational Neuroscience of the Institute for Neural Computation, UCSD, now housed in a suite of new offices and laboratories in the Supercomputer Center building on the UCSD campus. I have begun working with clinical researchers to apply the advances in functional EEG-based imaging to medical research and clinical practice, and am looking to expand studies of emotional communication through music and gesture, and direct a new multi-campus University of California initiative, UC MERCI (UC 'Music Experience Research Community Initiative') to bring together and promote research on music, mind, brain, and body
At SCCN we are looking to continue to build collaborations with researchers wanting to apply new analysis methods to EEG and multimodality cognitive neuroscience imaging data, as well as with physicists, engineers, and mathematicians modeling the distributed human brain dynamics underlying brain cognitive capacities including attention, memory, decision-making, emotion, social interaction and creativity including musical expression.
Current projects include MoBI (EEG + body motion capture) and EEG correlates of emotion, social neuroscience, reward, musical experience, and insight, as well as advanced EEG source localization and imaging methods development.

Contact:

smakeigucsd.edu
Swartz Center for Computational Neuroscience
Institute for Neural Computation
University of California San Diego 0559
9500 Gilman Drive, La Jolla CA 92093-0559
(858) 822-7539

My scientific publications
Browse & Download

EEGLAB
a widely-used environment for electrophysiological signal processing and visualization under Matlab including independent component analysis

My scientific citations
in Google Scholar

Selected Publications and Presentations

Some older meeting abstracts

Recent publications

S Makeig. Mobile Brain/Body Imaging of Social, Affective, and Creative Agency. Abstract, Fourth International Symposium on Mobile Brain/Body Imaging, UC San Diego, June 8, 2022

Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme S Makeig. Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). NeuroImage, 245, p. 118766. 2021. Demonstrating how to annotate events in BIDS formatted data using the new 3rd-generation release of the HED event annotation system.

Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, S Makeig. Building FAIR functionality: Annotating event-related imaging data using Hierarchical Event Descriptors (HED). Neuroinformatics, December 30, 2021 DOI://10.1007/s12021-021-09537-4. Describing and motivating the innovations incorporated in the new 3rd-generation release of the HED event annotation system.

Kay Robbins, S Makeig. Dung Truong, Arnaud Delorme, Tal Pal Attia, Monique Dinessen, "Actionable event annotation in neuroimaging: HED-3G principles and practice", Society for Neuroscience 2021, November, 2021 a linking group of abstracts on the nature and consequences of 3rd-generation HED annotation of events in time series data.

Jessica Ross, DC Comstock, JR Iversen, S Makeig, R Balasubramaniam. "Cortical mu rhythms during action and passive music listening". Journal of Neurophysiology, 127:213-224, 2022. doi:10.1152/jn.00346.2021. Showing that the mu rhythm is augmented during quiet music listening versus active responding.

Zeynep Akalin Acar, S Makeig. "EEG noise model in cortical source localization of ICA-derived source scalp projection maps". IEEE BIBE, 2020 Announcing a further advance in high-resolution EEG source imaging combining multi-model AMICA ICA decomposition, RELICA source map uncertainty computation, SCS high-resolution inversesource imaging.

Jensen KM, Lee C, S Makeig, Kroger JK. "More efficient electrode localization in EEG: A method comparison between a traditional electromagnetic digitizer and a new photogrammetric method." SfN Global Connectome, January 2021, Society for Neuroscience. A comparison between electrode localization ('digitization') by Polhemus versus photogrammetry by get_chanlocs.

S Makeig. The MoBI Horizon: Mobile Brain/body Imaging Past and Future. Online talk (37 min) on YouTube from the 2020 MoBI Awards program.

Martinez-Cancino R, Delorme A, Truong D, Artoni F, Kreatuz-Delgado K, Sivagnanam S, Yoshimoto K, Majumdar A, S Makeig. The Open EEGLAB Portal interface: High-performance computing with EEGLAB NeuroImage, DOI: 10/1016/j.neuroimage.2020.116778 How to run scripts and functions from the command line or EEGLAB menu on freely available high-performance computing, and how to build an HPC processing option into EEGLAB plug-ins.

Piazza, C Cantiana, M Miyakoshi, V Riva, M Moteni, G Reni S Makeig. EEG Effective Source Projections Are More Bilaterally Symmetric in Infants Than in Adults Frontiers, 12 March, 2020. DOI:10.3389/fnhum.2020.00082

SL Kappel, S Makeig, Kidmose P. Ear-EEG forward models: Improved head-models for Ear-EEG Frontiers, 2019.

L Pion-Tonachini, Akalin Acar Z, Ward S, Kreutz-Delgado, S Makeig, Modeling brain-body dynamics using EMG source imaging Society for Neuroscience poster, 2015.

J Wagner, S Makeig, Hoopes D, Gola M, Can oscillatory alpha-gamma phase-amplitude coupling be used to understand and enhance TMS effects? Frontiers in Human Neuroscience 13:263. doi: 10.3389/fnhum.2019.00263

Martinez-Cancino, Ramon, Heng, J., Delorme, A., Kreutz-Delgado, K., Sotero, R.C., S Makeig. Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185:361-378, 2019.

VB Perez, Miyakoshi M, S Makeig, Light G. Mismatch negativity reveals plasticity in cortical dynamics after 1-hour of auditory training exercises. (pdf). Int J Psychology, in press 2019.

J Wagner, R Martinez-Cancino, S Makeig, Trial-by-trial source-resolved EEG responses to gait task challenges predict subsequent step adaptation (pdf). NeuroImage, 199,691-703, 2019

Delorme A, Majumdar A, Sivagnanam S, Martinez-Cancino R, Yoshimoto K, S Makeig, The Open EEGLAB Portal 9th IEEE/EMBC Conference on Neural Engineering March, 2019 San Francisco, CA

Pion-Tonachini L, Kreutz-Delgado L, S Makeig, ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. (3MB .pdf). NeuroImage 198:181-197, 2019. Pion-Tonachini L, Kreutz-Delgado L, S Makeig, The ICLabel dataset of electroencephalographic (EEG) independent component (IC) features. (1.2MB .pdf). Data in Brief 25:104101, 2019.

Burwell, S.J., S Makeig, Iacono, WG., Malone, SM, Reduced Medial Frontal Positivity During the Stimulus-Response Interval Precedes Action Errors and Explains Task Deficits in Attention-Deficit Hyperactivity Disorder. Psychophysiology May 21, 2019.

Randau, M., Oranje, B., Miyakoshi, M., S Makeig, Fagerlund, B., Glenthøj, B., Bak, N. Attenuated mismatch negativity in patients with first-episode antipsychotic-naive schizophrenia using a source-resolved method, NeuroImage: Clinical 22:101760, 2019. Open source html: https://doi.org/10.1016/j.nicl.2019.101760
Hsu S, Pion-Tonachini L, Palmer J, Miyakoshi M, S Makeig, Jung T-P. Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage 183:47-61, 2018.

Artoni F, Delorme A, S Makeig. Applying dimension reduction to EEG data by principal component analysis reduces the quality of its subsequent independent component decomposition. NeuroImage 175:176–187, 2018. https://doi.org/10.1016/j.neuroimage.2018.03.016

S Makeig. Mobile Brain/Body Imaging: A Decade of Emergence. Keynote talk abstract, 3rd International Mobile Brain/Body Imaging Conference, Berlin, Germany, July 2018.

Loo S, Lenartowicsz A, S Makeig. Use of EEG biomarkers in child psychiatry research: current state and future directions. Journal of Child Psychology and Psychiatry 57:1, 4-13 (2016).

Gramann K, Jung T-P, Ferris DP, S Makeig Eds., Towards a New Cognitive Neuroscience: Modeling Natural Brain Dynamics (187 pp., pdf.zip, 18.4MB) [ebook] frontiers Research Topics / frontiers in Neuroscience, ISBN: 978-2-88919-271-7, (2014) A frontiers topic ebook.

S Makeig, Jung T-P, Sejnowski TJ. Awareness during drowsiness: Dynamics and electrophysiological correlates. Canadian Journal of Experimental Psychology,4:266-73 (2000). Drowsiness is associated with 18-sec rhythms in both behavior and EEG!

Akalin Acar, Z., Ortiz-Mantilla S, Benasich A, S Makeig, High-resolution EEG source imaging of one-year-old children. Conf Proc IEEE Eng Med Biol Soc. 2016 Aug:117-120 (2016)

Artoni, F., Fanciullacci, C., Bertolucci, F., Panarese, A., S Makeig, Micera, S., Chisari, C. Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking. NeuroImage, 159:403-416 (2017)

J. Menon, M. Miyakoshi, S.Lessig, S Makeig. Monitoring the effects of deep brain stimulation on sensorimotor cortex and peripheral muscles. Poster, Society for Neuroscience, 2013 Source-resolved EEG/mocap/video study of phasic effects of DBS on Parkinson's patients.

S Makeig. Assessing Event-Related and Spontaneous Brain Dynamics with EEG. 2:05:46 video of a talk at Big Data in Brain Science, UC Irvine, Feb. 16, 2017

T Toellner, Wang Y, S Makeig. Mueller HJ, Jung T-P, Gramann K. Two independent frontal midline theta oscillations during conflict detection and adaptation in a Simon-Type manual reaching task. The Journal of Neuroscience 37:9, 2504-2515, 2017.

D Whitmer, Worrell G, Stead M, Lee I-K, S Makeig. Utility of independent component analysis for interpretation of intracranial EEG. Frontiers in Human Neuroscience 4:184-, doi:10.3389/fnhum.2010.00184, 2010.

Artoni, F., Menicucci, D., Delorme, A., S Makeig, Micera, S. RELICA: a method for estimating the reliability of independent components. NeuroImage, 103:391-400 (2014)

C. Brunner, M. Billinger, M. Seeber, T.R. Mullen, S Makeig, Volume conduction influences scalp-based connectivity estimates (a rebuttal). Frontiers in Computational Neuroscience 22, doi: 10.3389/fncom.2016.00121, 2016.

S Makeig, "High-Resolution EEG Brain and Brain/Body Imaging: New Methods for Social Neuroscience Research" Abstract, Invited talk, NeuroImaging Workshop on the Dynamic Social Brain preceding the Society for Neuroscience meeting, San Diego, November 10, 2016. Slides (pdf, 7.5 MB).

S Makeig, Studying the Brain Dynamics of Music, Movement, and Emotion (1:49.46 video recording) Extended talk abstract (.pdf, 103kB), 1st CHASE Summer School on Music and the Brain, Yosemite Valley, CA, June 18-23, 2014 S Makeig, Talk slides (9.6MB .pdf).

G. Leslie, A. Ojeda, S Makeig. Measuring musical engagement using expressive movement and EEG brain dynamics. Psychomusicology, 24:75-91, 2014

Nonoda Y, Miyakoshi M, Ojeda A, S Makeig, Johasz C, Sood S, Asano E. Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clin Neuroophysiol 127(6):2489–2499. doi:10.1016/j.clinph.2016.03.022, 2016.

N. Bigdely-Shamlo, J. Cockfield, S Makeig, T. Rognon, C. Lavelle, M. Miyakoshi, K. Robbins Hierarchical Event Descriptors (HED): Semi-structured tagging for real-world events in large-scale EEG Frontiers in Neuroinformatics, 17 October 2016 | http://dx.doi.org/10.3389/fninf.2016.00042

Bigdely-Shamlo N, S Makeig, Robbins KA. Preparing laboratory and real-world EEG data for large-scale analysis: A containerized approach. Frontiers in Neuroinformatics, 10:7,PMC4782059, 2016. doi:010.3389/fninf.2016.00007

C Piazza, C Cantiani, Z Akalin-Acar, M Miyakoshi, AD Benasich, G Reni, AM Bianchi, S Makeig, doi: 10.3389/fncom.2016.00121. ICA-derived cortical responses indexing rapid multi-feature auditory processing in six-month-old infants (pdf, 1.8MB). Neuroimage, 133:75-87, 2016

J Wagner, S Makeig, M Gola, C Neuper, G Mueller-Putz. Distinct beta band oscillatory networks subserving motor and cognitive control during gait adaptation (pdf, 7.6MB). Journal of Neuroscience, 37,7:2212-2226, 2016

O Balkan, N Virji-Babul, M Miyakoshi, S Makeig. Source-domain spectral EEG analysis of sports-related concussion via measure projection analysis (pdf, 0.6MB). Conf Proc IEEE Eng Med Biol Soc. 2015; 2015:4053–4056. doi: 10.1109/EMBC.2015.7319284

Z. Akalin Acar, C. Acar, S Makeig, Simultaneous head tissue conductivity and EEG source location estimation (pdf, 1.0MB). NeuroImage, 124:168-180, 2016

Mullen, T., Kothe, C., Chi, M., Ojeda, A., Kerth, T., S Makeig, Jung, T-P, Cauwenberghs, G. Real-time neuroimaging and cognitive monitoring using wearable dry EEG (pdf, 5.6 MB). IEEE Transactions on Biomedical Engineering, 62.11:2553-2567 (2015).

S Makeig, UC MERCI: Encouraging the Scientific Study of Musical Experience and Communication (37 min talk streaming video) and Slides from the talk (pdf, 6.9MB) given at UCSD, March 17, 2015

J.A. Onton, S Makeig, Conscious control of an independent EEG source (Abstract) / Poster (pdf, 3.5MB). Society for Neuroscience Abstracts, Atlanta, GA, 2006.

Y. Liao, Akalin Acar Z, S Makeig, Deak G. EEG imaging of toddlers during dyadic turn-taking: Mu-rhythm modulation while producing or observing social actions. (.pdf, 2.3MB) NeuroImage 112:52-60, 2015

Web portal for UC MERCI, The University of California Music Experience Research Collaboration Initiative (merci.ucsd.edu ).

G Light, S Makeig. EEG biomarkers of psychosis, present and future (.pdf, 74kB) Biological Psychiatry, 77.2:87-89 (2015).

Rissling AJ, Miyakoshi M, Sugar CA, Braff DL, S Makeig, Light GA. Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia. (.html) hi-res pdf here (2.8MB), lo-res pdf here (0.6MB). NeuroImage: Clinical 6:424-437, DOI:10.1016/j.nicl.2014.09.006, 2014

S Makeig, Changes in auditory steady-state responses during neuroleptic treatment Schizophrenia Research 2:1-2, 84 (1989)

S Makeig, Keynote presentation slides, Towards Robust, Pervasive BCI (.pdf, 675 kB) 3rd International BCI Conference, University of Graz, Austria, Sept. 17, 2014

S Makeig, Abstract, EEG course lecture, Blind source separation of electrophysiological data. Human Brain Mapping 2015, Honolulu, Hawaii, June 14-18, 2015

K Gramann, T-P Jung, DP Ferris, C-T Lin, S Makeig, Editorial overview for a new special issue on mobile brain/body imaging: Toward a new cognitive neuroscience: Modeling natural brain dynamics. Frontiers in Human Neuroscience 8:444

M. Miyakoshi, S Makeig, J Piacentini, P Walshaw, S Chang, J McCracken, SK Loo. Treatment-related changes in EEG actiivation in Tourette's syndrome. Society for Neuroscience, 2014. Washington, D.C.

M Miyakoshi, S Makeig. AJ Tathan, FA Medeiros, A novel paradigm for vision functionometry in glaucoma (abstract, .pdf) ARVO Annual Meeting, Orlando FL, May 8, 2014 (Poster, .pdf, 465kB)

S Makeig. Opening new windows into functional brain dynamics. Class lecture video, Jan. 17, 2014 in Cognitive Science 200, UCSD, La Jolla CA.

G. Leslie, A. Ojeda, S Makeig. Measuring and classifying musical engagement using EEG and motion capture Human Brain Mapping, June, 2014 (Hamburg, Germany)

A Ojeda, N Bigdley-Shamlo, S Makeig. MoBILAB: An open source toolbox for analysis and visualization of mobile brain/body imaging data. Frontiers in Human Neuroscience, 2014.

A Lenartowicz, A Delorme, P Walshaw, AL Cho, RM Bilder, J McGough,JT McCracken, S Makeig, SK Loo. EEG correlates of spatial working memory deficits in ADHD: vigilance, encoding, and maintenance. The Journal of Neuroscience 34(4):1171–1182, 2014.

A Tsai, T-P Jung, V Chien, AN Savostyanov, S Makeig. Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging. NeuroImage 87:i297-310, 2014

K Gramann, D Ferris, J Gwin, S Makeig. Imaging Natural Cognition in Action , International Journal of Psychophysiology, 2013.

J Iversen, S Makeig. Rhythm and the Brain: Analysis of Neural Dynamics Accompanying Musical Beat Perception (poster pdf, 21 MB). Abstracts, Meeting of the Society for Neuroscience, 2013.

J Iversen, S Makeig. MEG/EEG data analysis using EEGLAB (0.3 MB lo res; 5.6 MB hi res). In: Magnetoencephalography: From Signals to Dynbamic Cortical Networks. Ed. S Supek & C. Aine, Springer Verlag, 2014

G McLoughlin, S Makeig, M Tsuang, In search of biomarkers in psychiatry: EEG-based measures of brain function Journal of Medical Genetics: Neuropsychiatric Genetics, DOI:10.1002/ajmg.b.32208, 2013

G McLoughlin, J Palmer, F Rijkdijk, S Makeig. Genetic Overlap between Evoked Frontocentral Theta-Band Phase Variability, Reaction Time Variability, and Attention-Deficit/Hyperactivity Disorder Symptoms in a Twin Study Biological Psychiatry, 2013, doi:10.1016/j.biopsych.2013.07.020k

C Kothe, S Makeig. BCILAB: A platform for brain-computer interface development Journal of Neural Engineering, 2013

T Mullen, Kothe C, Chi YM, Ojeda A, Kerth T, S Makeig. Jung T-P. Real-time estimation and 3-D visualization of source dynamics and connectivity using wearable EEG IEEE Engineering in Biology & Medicine Society, Osaka, Japan, June, 2013

C Kothe, Onton JA, S Makeig. Emotion recognition from EEG during self-paced emotional imagery 3rd Workshop of Affective Brain-Computer Interfaces, 2013, Geneva, Switzerland

AR Sipp, Gwin JT, S Makeig. Ferris DP. Loss of balance during balance beam walking elicits a multi-focal theta band electrocortical response Journal of Neurophysiology, 2013 Press release on this article.

J Iversen, S Makeig. New project: Towards EEG-augmented feedback training of temporal perceptual-motor skills NSF Temporal Dynamics of Learning Center, UC San Diego, La Jolla CA. 2013

YC Wu, S Coulson, S Makeig. Gesture Comprehension Recruits Sensorimotor Systems Society for the Neurobiology of Language, San Diego, California, 2013

N Bigdely-Shamlo, T. Mullen, K. Kreutz-Delgado, S Makeig. Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference. doi://10.1016/j.neuroimage.2013.01.040 NeuroImage, 2013

N Bigdely-Shamlo, K. Kreutz-Delgado, C. Kothe, S Makeig. EyeCatch: Data-mining over Half a Million EEG Independent Components to Construct a Fully-Automated Eye-Component Detector (.pdf, 697k) IEEE Engin. in Biolog. & Med. Society, Osaka, Japan, June, 2013

M. Miyakoshi, A. Delorme, T. Mullen, K. Kojima, S Makeig, E. Asano Automated Detection of Cross-Frequency Coupling in the Electrocorticogram for Clinical Inspection (.pdf, 211kB) IEEE Eng. in Biolog. & Med. Conference, Osaka, Japan, June, 2013

T. Mullen, C. Kothe, Y. M. Chi, A. Ojeda, T. Kerth, S Makeig, T-P. Jung Real-Time Estimation and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG (.pdf, 245kb) 5th International Workshop on Brain-Computer Interfaces 2013, Asilomar Conference Grounds, Pacific Grove, CA.

M. Burns, N. Bigdely-Shamlo, M. Smith, K. Kreutz-Delgado, S Makeig, Comparison of Averaging and Regression Techniques for Estimating Event Related Potentials (.pdf, 577k) IEEE Eng. in Biolog. & Med. Conference, Osaka, Japan, June, 2013

Zeynep Akalin Acar & S Makeig, Effect of forward model errors on EEG source localization (free online version), Brain Topography, 2013, (high-res preprint, pdf 7.9Mb)

C Cao, Z Akalin Acar, K Kreutz-Delgado, S Makeig. A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization IEEE Engineering in Biology & Medicine Society, San Diego, California, Sept., 2012

SK Loo, S Makeig. Clinical utility of EEG therapy in Attention-Deficit/Hyperactivity Disorder (ADHD): A research update (1.2 Mb .pdf). Neurotherapeutics 9:568-87, DOI: 10.1007/s13311-012-0131-z, 2012

S Makeig, C Kothe, T Mullen, N Bigdely-Shamlo, Z Zhang, K Kreutz-Delgado, Evolving signal processing for brain-computer interfaces (0.7 MB pdf) Proceedings of the IEEE 100:1567-1584, May, 2012

S Makeig, Powerpoint slides from a talk on EEG Data Mining at Washington University, St. Louis, Sept. 2012 (3.7 MB pdf)

Delorme A, Palmer J, Onton J, Oostenveld R, S Makeig, Independent EEG sources are dipolar PLoS One, i7(2):e30135. doi:10.1371/journalpone.0030135, 2012

Agatha Lenartowicz, Patricia Walshaw, James T. McCracken, James McGough, S Makeig, Sandra K. Loo. EEG correlates of spatial working memory in ADHD 59th meeting of the American Academy of Child and Adolescent Psychiatry, 2012

Zeynep Akalin Acar & S Makeig, YouTube channel -- Explanatory animated EEG videos!

Jason Palmer & S Makeig, Contrast functions for independent subspace analysis (0.7Mb pdf) submitted for publication

Jason Palmer & S Makeig, Kenneth Kreutz-Delgado, Dependency models based on generalized Gaussian scale mixtures and normal variance mean mixtures (0.7Mb pdf), Submitted for publication

Yu Liao, J Danley, A Vankov, S Makeig, G Deak, Adult-like changes in mu rhythm activity in young children accompany action observation and execution in a social context (2.4Mb pdf poster) Society for Neuroscience, Washington DC, November, 2011

W Thompson, T Mullen, J Onton, S Makeig, A Bayesian spatiotemporal model for multi-subject EEG source dynamics and effective connectivity (2.2MB pdf poster) ICON XII, Palma, Mallorca, September 25, 2011.

T Mullen, Z Akalin Acar, J Palmer, G Worrell, S Makeig, Analysis of neuronal source dynamics and connectivity during seizure (12.8MB pdf poster) ICON XII, Palma, Mallorca, September, 2011.

S Makeig, G Leslie, T Mullen, D Sarma, N Bigdely-Shamlo, C Kothe, Analyzing brain dynamics of affective engagement (527kB pdf proof) Lecture Notes in Computer Science 6975, Springer (in press).

S Makeig, G Leslie, T Mullen, D Sarma, N Bigdely-Shamlo, C Kothe, First demonstration of a musical emotion BCI (416kB pdf proof) S. D ́Mello et al. (Eds.): ACII 2011, Part II, LNCS 6975, pp. 487–496, Springer-Verlag, 2011.

Brunner C, Mellinger J, Schalk G, Renard Y, Lecuyer L, Breitwieser C, Mueller-Putz GR, Kothe CA, S Makeig S, Perego P, Andreoni G, Kanoh S, Susila IP, Bianchi L, Venthur B, Blankertz B. BCI Software Platforms. For: Tan D & Nijholt A, Eds. (B+H)CI: The Human in Brain-Computer Interfaces and the Brain in Human-Computer Interactions, Springer Verlag, 2011 in press

Delorme A, Mullen T, Kothe C, Akalin Acar Z, Bigdely-Shamlo N, Vanko A, Makeig, EEGLAB, SIFT, NFT, BCILAB, and ERICA: New tools for advanced EEG processing. Computat Intelligence Neurosci 2011:130714, 12 pages, doi:10.1155/2011/130714, 2011.

Z Akalin Acar, J Palmer, G Worrell & S Makeig, Adaptive mixture independent component analysis and source localization in epilepsy, IEEE EMBC 2011, Boston MA, Sept. 2011

T Mullen, Z Akalin Acar, G Worrell & S Makeig, Modeling cortical source dynamics and interactions during seizure, IEEE EMBC 2011, Boston MA, Sept. 2011

CA Kothe & S Makeig, Estimation of task workload from EEG data: New and current methods and perspectives, IEEE EMBC 2011, Boston MA, Sept. 2011

S Makeig (1981) Means, Meaning, and Music ex Tempore, 1. -- Paper on ancient Greek music theory, recently rediscovered on the web!

Tim Mullen, Arnaud Delorme, Christian Kothe, S Makeig, SIFT: A electrophysiological source information flow toolbox for EEGLAB Society for Neuroscience, 2010

A Delorme, T Mullen, C Kothe, S Makeig (1981) An Electrophysiological Information Flow Toolbox for EEGLAB (.pdf, 4.2MB) (2010) Poster presented at the Society for Neuroscience Research 2010.

S Makeig, Arnaud Delorme, Julie Onton, Nima Bigdely Shamlo, Tim Mullen, Christian Kothe, David Groppe, et al., The Online EEGLAB Workshop - Videos, powerpoint slides, sample data and more from the 12th EEGLAB Workshop, UCSD, Nov. 2010. Resource for learning and teaching principles and use of the EEGLAB signal processing environment for Matlab.

S Makeig, Onton J. ERP features and EEG dynamics: An ICA perspective (1.1MB pdf) Oxford Handbook of Event-Related Potential Components, Ed. Luck S & Kappenman E, 2011.

S Makeig, Streaming video of a talk, 'Mining Cognitive Brain Dynamics I', given at the 12th EEGLAB Workshop, La Jolla CA, November 18, 2010. The slides (.pdf) are also available here.

S Makeig, Streaming video of a talk, 'Mining Cognitive Brain Dynamics II', given at the 12th EEGLAB Workshop, La Jolla CA, November 20, 2010. The slides (.pdf) are also available here.

S Makeig, Streaming video of a talk, 'Imaging Human Agency with Mobile Brain/Body Imaging (MoBI)', given at the 12th EEGLAB Workshop, La Jolla CA, November 21, 2010. The slides (.pdf) are also available here.

K Miller, D Hermes, CH Honey M Sharma, RP Rao, M Den J'Nijs, EE Fetz, TJ Sejnowski, AO Hebb, JG Ojemann, S Makeig & EC Leuthardt, Dynamic modulations of local population activity by rhythm phase in human occipital cortex during a visual search task. Frontiers in Human Neuroscience 4:197. doi: 10.3389/fnhum.2010.00197

Klaus Gramann, JT Gwin, N Bigdely-Shamlo, DP Ferris & Scott Makeig, Visual evoked responses during standing and walking Frontiers in Human Neuroscience doi:10.3889/fnhum.2010.00202

Zeynep Akalin Acar & Scott Makeig, Neuroelectromagnetic Forward Head Modeling Toolbox J Neurosci Meth doi:10.1016/jneumeth.2010.04.031

S Makeig & Julie Onton, Emotional BCI: Communicating emotion via EEG dynamics Fourth International BCI Meeting, Carmel, CA, June 2010

Tim Mullen, Julie Onton, Arnaud Delorme, Scott Makeig, Analysis and visualization of theta-band information flow dynamics in an ERN-producing task Human Brain Mapping, Barcelona, Spain, June 2010

Delorme A, Kothe C, Vankov A, Bigdely-Shamlo N, Oostenveldt R, Zander T, & S Makeig. MATLAB-based tools for BCI research (1.2 MB, .pdf) In:(B+H)CI: The Human in Brain-Computer Interfaces and the Brain in Human-Computer Interactions, in press.

Birgit Baernreuther, Thorsten O. Zander, Jessika Reissland, Christian Kothe, Sabine Jatzev, Jessika Reissland, Matti Gaertner, Sebastian Welke, Scott Makeig, Access to covert aspects of user intentions: Detecting bluffing in a game context with a passive BCI. Fourth International BCI Meeting, Carmel, CA, June 2010

Nima Bigdely-Shamlo & Scott Makeig, MatRiver software for real-time analysis and visualization of EEG and multi-modal data. Fourth International BCI Meeting, Carmel, CA, June 2010

Christian Kothe, Arnaud Delorme, Thorsten Zander, Scott Makeig BCILAB: A BCI / EEG research framework Fourth International BCI Meeting, Carmel, CA, June 2010

Gramann K, Onton J, Riccobon D, Mueller HJ, Bardins S, S Makeig. Brain dynamics accompanying use of egocentric and allocentric reference frames during human navigation. Journal of Cognitive Neuroscience 22:2836-2849 (doi:10.1162/jocn.2009.21369), 2010.

Onton J & S Makeig. Broadband high-frequency EEG dynamics during emotion imagination. Frontiers in Human Neuroscience, 2009.

Gwin JT, Gramann K, S Makeig, Ferris DP. Removal of movement artifact from high-density EEG recorded during walking and running Journal of Neurophysiology, in press ( doi:10.1152/jn.00105.2010).

Peterson D, S Makeig, TJ Sejnowski, H Poizner. Probabilistic reversal learning is impaired in Parkinson's disease. (611k) J Neurosci,2009.

S Makeig. Video: Collaborative dynamics revealed by high-definition EEG. A 31-minute streaming video of a talk at the Temporal Dynamics of Learning Center All-hands Meeting, UCSD, Feb., 2009

S Makeig. Beyond BCI: Mind monitoring via mobile brain-body imaging (0.1MB pdf) Human-Computer Interface International 2009, San Diego CA, 2009

Bigdely-Shamlo N, S Makeig. The Mind Mirror concept: EEG-guided image evolution (0.7MB pdf) Human-Computer Interface International 2009, San Diego CA, 2009

Huang R-S, Jung T-P, S Makeig. Tonic changes in EEG power spectra during simulated driving (0.7MB pdf) Human-Computer Interface International 2009, San Diego CA, 2009

Wang Y, S Makeig. Predicting intended movement direction using EEG from human posterior parietal cortex (0.6MB pdf) Human-Computer Interface International 2009, San Diego CA, 2009

Groppe D, S Makeig, Kutas M. Identifying reliable independent components via split-half comparisons (0.8MB pdf) NeuroImage 45:1199-2011, 2009

S Makeig, Gramann K, Jung T-P, Sejnowski TJ, Poizner H. Linking brain, mind and behavior: The promise of mobile brain/body imaging (MoBI) (2.5 MB pdf) International Journal of Psychophysiology, 2009.

Bigdely-Shamlo N, Vankov A, Ramirez RR, S Makeig, On brain activity-based image classification during rapid serial visual presentation. (8.3 MB pdf) IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16(4): 432-441, 2008

S Makeig, Moving from 2-D to 3-D EEG-based brain imaging. Powerpoint slides (7 MB pdf) for a series of brief talks in an NIMH workshop talk, Sept. 2008

Palmer J, S Makeig, Kreutz-Delgado K, Rao BD Newton method for the ICA mixture model ICASSP, 2008

Huang R-S, Jung T-P, Delorme A, S Makeig, Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. Neuroimage, 2008

S Makeig, Video: Mobile high-definition EEG brain imaging. A talk at the UCSD Temporal Dynamics of Learning Center meeting (17 min, Real player) Jan., 2007

Delorme A, Westerfield M, S Makeig, Medial prefrontal theta bursts precede rapid motor responses during visual selective attention. J Neurosci 27:11949-59, 2007 (DOI:10.1523/JNEUROSCI.3477-07.2007).

Wipf D, Ramirez R, Palmer J, S Makeig, Rao B. Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization , NIPS 2007

Hsu J-L, Jung T-P, Hsu C-Y, Hsu W-C, Chen Y-K, Duann J-R, Wang H-C, Makeig, S . Regional CBF Changes in Parkinsons Disease: A Correlation with Motor Dysfunction. Europ J Nuclear Medicine & Molecular Imaging, 2007.

Dyrholm, M, S Makeig, Hansen, LK, Convolutive ICA for spatiotemporal analysis of EEG. Neural Computation 19, 934-955, 2007.

W Einhaeuser, Koch C, S Makeig . The duration of the attentional blink in natural scenes depends on stimulus category. Vision Research 47:597-607, 2007.

Delorme A, Sejnowski TJ, S Makeig. Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis. NeuroImage, 2007.

Miller KJ, S Makeig, Hebb A, Rao R, denNijs M, Ojemann GJ. Cortical electrode localization from X-rays and simple mapping for electrocorticographic research: The Location on Cortex (LOC) package for MATLAB, J Neurosci Methods 162:303-308, 2007.

Onton J. S Makeig. ICA example and Overview chapter: Why use ICA to decompose EEG/MEG data?, Progress in Brain Research, 2006

Onton J, Westerfield M, Townsend J, S Makeig. Interpreting EEG brain dynamics using independent component analysis (pdf, 840k). In: Neuroscience and Behavioral Reviews Special Issue: Development Through the Life Cycle, Eds: Ulman Lindenberger and Shu-Chen Li, 30:808-822, 2006.

Dyrholm M, S Makeig, Hansen LK, Model structure selection in convolutive mixtures. Lecture Notes in Computer Science 3889:74-81, 2006

Palmer J, Kreutz-Delgado K, S Makeig. Super-gaussian mixture models for ICA. Lecture Notes in Computer Science 3889:854-861, 2006

Tsai, AC, Liou, M, Jung, T-P, Onton J, Cheng PE., Huang C-C, Duann, J-R, S Makeig. Mapping single-trial EEG records on the cortical surface through a spatiotemporal modality, NeuroImage 32:195-207, 2006.

Onton J, Delorme A, S Makeig. Frontal midline EEG dynamics during working memory. NeuroImage 27:341-56, 2005.

S Makeig , Brain decisions have consequences! from a talk at Banbury Center, Long Island June, 2005 (0.8 MB pdf).

S Makeig, A 'handwaving' explanation of ICA from a talk at Dollnsee, Germany Sept., 2004.

S Makeig, Multiscale evidence of multiscale brain communication. Talk at Banbury Center (5MB pdf), May, 2004.

S Makeig, Delorme A, Westerfield M, Townsend J, Courchense E, Sejnowski TJ, Electroencephalographic brain dynamics following visual targets requiring manual responses. PLOS Biology, 2(6):742-762, 2004.

S Makeig, Debener S, Onton J, Delorme A, Mining event-related brain dynamics Trends in Cognitive Science, 8(5):204-210, 2004.

Luu P, Tucker D, S Makeig. Frontal-midline theta and the ERN (4.3MB pdf) Clinical Neurophysiology, 115:1821-35, 2004.

Delorme A and S Makeig. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics J Neurosci Methods, 134:9-21, 2004.

J. Anemuller, Sejnowski TJ, S Makeig, Complex independent component analysis of frequency-domain EEG data, Neural Networks 16:1311-23, 2003.

Delorme, A. and S Makeig, EEG changes accompanying learned regulation of 12-Hz EEG activity (369 KB pdf), IEEE Trans Neural Sys & Rehab Eng, 2(2):133-136, 2003.

S Makeig, Event-related brain dynamics: Unifying brain electrophysiology (22KB pdf). Trends in Neurosciences 25,8: 390, August, 2002;

S Makeig, Jung T-P, Sejnowski TJ. Having your voxels and timing them too? (721KB pdf). In: Exploratory Analysis and Data Modeling in Functional Neuroimaging (F. Sommer & A. Wichert, eds.), The MIT Press, 2002.

S Makeig, Westerfield M, Jung T-P, Enghoff S, Townsend J, Courchesne E, Sejnowski TJ. Dynamic brain sources of visual evoked responses. Science, 295:690-694 (25 Jan 2002).

Duann J-R, Jung T-P, Kuo W-J, Yeh T-C, S Makeig, Hsieh J-C, Sejnowski TJ. Measuring the variability of event-related BOLD signals" (72KB pdf),Neuroimage 15: 823-25, 2002.

Jung T-P, S Makeig, Westerfield M, Townsend J, Courchesne E, Sejnowski TJ. " Independent component analysis of single-trial event-related potentials (1.1 MB pdf)," Human Brain Mapping, 14(3):168-85,2001.

Jung T-P, S Makeig, McKeown MJ, Bell AJ, Lee T-W, Sejnowski TJ. Imaging brain dynamics using Independent Component Analysis (640 KB pdf), Proceedings of the IEEE, 89(7):1107-22, 2001.

S Makeig, Jung T-P, Sejnowski TJ. "Awareness during Drowsiness: Dynamics and Electrophysiological Correlates" (.html/.doc.gz), Can J Exp Psychol 54(4):266-73, 2000.

Jung T-P, S Makeig, Westerfield W, Townsend J, Courchesne E, Sejnowski TJ. " Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects (1.3MB pdf)," Clinical Neurophysiology, 111:10, 1745-58, 2000.

S Makeig, Jung T-P, Sejnowski TJ. "An efficient basis for brain-actuated control" (111 KB pdf), IEEE Trans Rehab Eng 8:208-11, 2000.

Jung T-P, S Makeig, Humphries C , Lee TW, McKeown MJ, Iragui V, Sejnowski TJ. Removing electroencephalographic artifacts by blind source separation (.HTML, pdf.zip), Psychophysiology, 37:163-78, 2000.

Jung T-P, S Makeig, Lee T-W, McKeown MJ, Brown G, Bell AJ, Sejnowski TJ. "Independent Component Analysis of Biomedical Signals," Second International Workshop on Independent Component Analysis and Signal Separation, Helsinki, pp. 633-44, 2000.

S Makeig, Westerfield M, Townsend J, Jung T-P, Courchesne E, Sejnowski TJ. Functionally independent components of the early event-related potential in a visual spatial attention task (450 KB pdf). Philosophical Transactions of the Royal Society: Biological Sciences 354:1135-44, 1999. The evoked response data (0.4MB tar.gz)

S Makeig, Westerfield M, Jung T-P, Covington J, Townsend J, Sejnowski, Courchesne E. J. Neurosci. 19:2665-2680 (1999). Functionally independent components of the late positive event-related potential during visual spatial attention (1 MB pdf) Soc. Neurosci. members (.html) The evoked response data (2Mb tar.gz).

McKeown MJ, S Makeig, Brown GG, Jung T-P, Kindermann M, Sejnowski TJ. Human Brain Mapping, 6(3):160-88 (1998). Analysis of fMRI by Blind Separation into Independent Spatial Components ( 4MB ps.Z).

S Makeig, Bell AJ, Jung T-P, Sejnowski TJ. Independent component analysis of electroencephalographic data In: D. Touretzky, M. Mozer and M. Hasselmo (Eds). Advances in Neural Information Processing Systems 8:145-151 (1996). (488KB ps.gz) (First paper applying ICA to EEG).

Some earlier work on EEG-based alertness monitoring