Fuzzy Segmentation Spatiotemporal Patterns of Cognitive Potential into Microstates

Fuzzy c-mean algorithm was applied to segment spatiotemporal patterns of brainwave into microstates and memberships. The optimal clustering number was estimated with both the trends of objective function and the eigenvalue number of microstates. Comparable spatial patterns may occur at different tem...

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Vydané v:Brain topography Ročník 12; číslo 1; s. 61 - 67
Hlavní autori: Zhou, Shu, Wang, Chunmao, Wei, Jinghan, Wu, Shali
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Springer Nature B.V 01.10.1999
Predmet:
Algorithms
Attention - physiology
Brain Mapping
Cerebral Cortex - physiology
Cognition - physiology
Electroencephalography - methods
Evoked Potentials - physiology
Fuzzy Logic
Humans
Models, Neurological
Neuropsychological Tests
Pattern Recognition, Visual - physiology
Task Performance and Analysis
Time Factors
ISSN:0896-0267, 1573-6792
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Shrnutí:Fuzzy c-mean algorithm was applied to segment spatiotemporal patterns of brainwave into microstates and memberships. The optimal clustering number was estimated with both the trends of objective function and the eigenvalue number of microstates. Comparable spatial patterns may occur at different temporal moments in consideration of fuzzy index that is beyond the limit of serial processing. Those techniques were illustrated with multichannel event-related potentials recorded from 9 subjects during Stroop test. Statistical parametric map of F value suggested that significant task (color decision and word decision) effect involve widespread cortical regions after stimulus onset 280 ms and this result supports the hypothesis that Stroop interference derives from response competition during post-perception stage. As significant stimulus (congruent stimulus and incongruent stimulus) effect only involves several separate visual regions within 100 ms after stimulus presentation, it may reflect top-down attentional regulation.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0896-0267
1573-6792
DOI:10.1023/A:1022233724264