Research Topics
| SCOTT contact MAKEIGSummaryAffiliation: University of California Country: USA Publications
Research Grants
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Detail Information
Publications
Mining event-related brain dynamicsScott Makeig
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla 92093 0961, USA
Trends Cogn Sci 8:204-10. 2004..The new approach combines independent component analysis (ICA), time/frequency analysis, and trial-by-trial visualization that measures EEG source dynamics without requiring an explicit head model...
Neurophysiologic markers of abnormal brain activity in schizophreniaAnthony J Rissling
Department of Psychiatry, University of California San Diego, La Jolla, 92093 0804, USA
Curr Psychiatry Rep 12:572-8. 2010....- Linking brain, mind and behaviorScott Makeig
Swartz Center for Computation Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
Int J Psychophysiol 73:95-100. 2009..The new imaging modality should allow new insights into how spatially distributed brain dynamics support natural human cognition and agency... - Dynamic brain sources of visual evoked responsesS Makeig
Computational Neurobiology Laboratory and, The Howard Hughes Medical Institute, The Salk Institute, 10010 North Torrey Pines Road, San Diego, CA 92037, USA
Science 295:690-4. 2002..Scalp topographies of these components were consistent with their generation in compact cortical domains... 
Electroencephalographic brain dynamics following manually responded visual targetsScott Makeig
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California at San Diego, La Jolla, USA
PLoS Biol 2:e176. 2004....- Response: event-related brain dynamics -- unifying brain electrophysiologyScott Makeig
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093-0961, USA
Trends Neurosci 25:390. 2002 - Patch-basis electrocortical source imaging in epilepsyZeynep Akalin Acar
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA
Conf Proc IEEE Eng Med Biol Soc 2009:2930-3. 2009..These source dipoles are combined into overlapping multi-scalepatches. Using this approach, we were able to detect seizure activity on sulcal walls and on gyrus of the cortex... - Single-trial variability in event-related BOLD signalsJeng-Ren Duann
Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037, USA
Neuroimage 15:823-35. 2002..Thus, ICA combined with BOLD-image visualization can reveal dramatic and unforeseen HR variations not apparent to researchers analyzing their data with event-related response averaging and fixed HR templates... 
Neuroelectromagnetic forward head modeling toolboxZeynep Akalin Acar
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093 0961, USA
J Neurosci Methods 190:258-70. 2010..ucsd.edu/eeglab), or from the MATLAB command line. Function help messages and a user tutorial are included. The toolbox is freely available under the GNU Public License for noncommercial use and open source development...- EEG changes accompanying learned regulation of 12-Hz EEG activityArnaud Delorme
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California at San Diego, La Jolla 92093 0961, USA
IEEE Trans Neural Syst Rehabil Eng 11:133-7. 2003..A more complete understanding of these phenomena could help to explain the nature and locus of learned regulation of EEG rhythms and might also suggest ways to further optimize the performance of brain-computer interfaces... - Identifying reliable independent components via split-half comparisonsDavid M Groppe
Department of Cognitive Science, 0515, University of California San Diego, 9500 Gilman Dr La Jolla, CA 92093 0515, USA
Neuroimage 45:1199-211. 2009.... - Head modeling and cortical source localization in epilepsyZeynep Akalin Acar
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA
Conf Proc IEEE Eng Med Biol Soc 2008:3763-6. 2008..A difference of about 1 cm was observed between sources estimated from sEEG and iEEG measurements... - Neuroelectromagnetic forward modeling toolboxZeynep Akalin Acar
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA
Conf Proc IEEE Eng Med Biol Soc 2008:3991-4. 2008..Function help messages and a tutorial are included. The toolbox is freely available under the GNU Public License for noncommercial use and open source development... - EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysisArnaud Delorme
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093 0961, USA
J Neurosci Methods 134:9-21. 2004..EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation... - Human brain dynamics accompanying use of egocentric and allocentric reference frames during navigationKlaus Gramann
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093 0961, USA
J Cogn Neurosci 22:2836-49. 2010.... - Brain activity-based image classification from rapid serial visual presentationNima Bigdely-Shamlo
Swartz Center for Computational Neuroscience, University of California at San Diego, La Jolla, CA 92037, USA
IEEE Trans Neural Syst Rehabil Eng 16:432-41. 2008..97 for within-session and 0.87 for between-session estimates, and was nearly as high (0.83) for targets presented in bursts that participants mistakenly reported to include no target features... - Analyzing high-density ECG signals using ICAYi Zhu
Department of Computer Science and Engineering, University of California, San Diego, CA 92093 0404, USA
IEEE Trans Biomed Eng 55:2528-37. 2008..Results from five subjects show that P-, QRS-, and T-waves can be clearly separated from the recordings, suggesting ICA might be an effective and useful tool for high-density ECG analysis, interpretation, and diagnosis... - Tonic and phasic electroencephalographic dynamics during continuous compensatory trackingRuey Song Huang
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093 0961, USA
Neuroimage 39:1896-909. 2008..We tentatively interpret the observed EEG signal increases as indexing tonic and phasic modulations of the levels of task attention and engagement required to maintain visuomotor performance during sustained performance... - Information-based modeling of event-related brain dynamicsJulie Onton
Swartz Center for Computational Neuroscience, University of California, San Diego, La Jolla, CA 92093 0961, USA
Prog Brain Res 159:99-120. 2006..In sum, continued application of ICA methods in EEG research should continue to yield new insights into the nature and role of the complex macroscopic cortical dynamics captured by scalp electrode recordings... - Imaging human EEG dynamics using independent component analysisJulie Onton
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093-0961, USA
Neurosci Biobehav Rev 30:808-22. 2006.... - Frontal midline EEG dynamics during working memoryJulie Onton
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093 0961, USA
Neuroimage 27:341-56. 2005..Possibly, the observed fmtheta process variability may index dynamic adjustments in medial frontal cortex to trial-specific behavioral context and task demands... - Medial prefrontal theta bursts precede rapid motor responses during visual selective attentionArnaud Delorme
Swartz Center for Computational Neuroscience, University of California San Diego, La Jolla, California 92093, USA
J Neurosci 27:11949-59. 2007..The far-frontal low-theta complexes and concomitant mean P3f positivity may index cortical activity induced by paralimbic processes involved in disinhibiting impulsive motor responses to rewarding or goal-fulfilling stimuli or events... - Spatial density reduction in the study of the ECG signal using independent component analysisAmirali Shayan Arani
CSE Dept, University of California San Diego, USA
Conf Proc IEEE Eng Med Biol Soc 2007:5497-500. 2007..This approach facilitates the feasibility of the ICA study on the patients with moderate spatial resolution, since it requires significantly fewer leads for recording and easier diagnosis setup... - Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysisArnaud Delorme
Computational Neurobiology Laboratory, Salk Institute for Biological Studies, 10010 N Torrey Pines Road, La Jolla, CA 92107, USA
Neuroimage 34:1443-9. 2007..We note that ICA decomposition also allows simple subtraction of artifacts accounted for by single independent components, and/or separate and direct examination of the decomposed non-artifact processes themselves... - Complex independent component analysis of frequency-domain electroencephalographic dataJörn Anemüller
Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, 9500 Gilman Dr, Dept 0961, La Jolla, CA 92093 0961, USA
Neural Netw 16:1311-23. 2003..sources of spatio-temporal dynamics in the data, (2). links to subject behavior, (3). sources with a limited spectral extent, and (4). a higher degree of independence compared to sources derived by standard ICA...
Research Grants
- EEGLAB: Software for analysis of human brain dynamicsScott Makeig; Fiscal Year: 2006....
- A Human Electrophysiology, Associated Anatomic Data and Integrated Tool ResourceScott Makeig; Fiscal Year: 2009....
- EEGLAB: Software for analysis of human brain dynamicsScott Makeig; Fiscal Year: 2009..Eventually, application of the new methods may lead to advances in neurology and psychiatry in the form of better diagnostic and monitoring tools, and better basic understanding of human brain function. ..
- EEGLAB: Software for analysis of human brain dynamicsScott Makeig; Fiscal Year: 2010..Eventually, application of the new methods may lead to advances in neurology and psychiatry in the form of better diagnostic and monitoring tools, and better basic understanding of human brain function. ..
- A Human Electrophysiology, Associated Anatomic Data and Integrated Tool ResourceSCOTT contact MAKEIG; Fiscal Year: 2010....
- EEGLAB: Software for analysis of human brain dynamicsScott Makeig; Fiscal Year: 2010....