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dc.contributor.authorBaşar, Erol
dc.contributor.authorTülay, Elif
dc.contributor.authorGüntekin, Bahar
dc.date.accessioned2018-07-13T13:46:56Z
dc.date.available2018-07-13T13:46:56Z
dc.date.issued2015-03
dc.identifier.issn0167-8760
dc.identifier.other1872-7697
dc.identifier.urihttps://doi.org/10.1016/j.ijpsycho.2015.01.013
dc.identifier.urihttps://hdl.handle.net/11413/2089
dc.description.abstractBrain oscillations in the gamma frequency band, - i.e. oscillations greater than 25 Hz - have attracted increasing attention over the last few decades in the research of sensory-cognitive processes. In the neuroscience research literature, a great number of reports aim to describe the functional correlates of oscillatory responses in the gamma frequency window. However, analysis using a broadband frequency window often leads to divergent functional interpretations and controversies. In order to provide a more exact approach, we have used a strategy by defining multiple frequency and multiple time windows according to the combined analysis of conventional power spectral windows, frequency adaptive multiple filters, and inter-trial coherence. The analysis in frequency windows of 25-30 Hz, 30-35 Hz, and 4048 Hz enables the investigator to provide a distinction of cognitive and/or sensory responses. Moreover, according to topological differentiation and the consideration of neuroanatomic pathways, more reliable interpretations of gamma responses are reached. (C) 2015 The Authors. Published by Elsevier B.V.tr_TR
dc.language.isoen_UStr_TR
dc.publisherElsevıer Science Bv, Po Box 211, 1000 Ae Amsterdam, Netherlanditr_TR
dc.relationInternational Journal of Psychophysiologytr_TR
dc.subjectEEGtr_TR
dc.subjectEvent related oscillationstr_TR
dc.subjectGammatr_TR
dc.subjectP300tr_TR
dc.subjectITCtr_TR
dc.subjectERSPtr_TR
dc.subjectCognitive-processestr_TR
dc.subjectBand responsestr_TR
dc.subjectAttentiontr_TR
dc.subjectStimulationtr_TR
dc.subjectCortextr_TR
dc.subjectMemorytr_TR
dc.titleMultiple gamma oscillations in the brain: A new strategy to differentiate functional correlates and P300 dynamicstr_TR
dc.typeArticletr_TR
dc.contributor.authorID142226tr_TR
dc.contributor.authorID204666tr_TR
dc.identifier.wos351977400020
dc.identifier.wos351977400020en
dc.identifier.scopus2-s2.0-84923352886
dc.identifier.scopus2-s2.0-84923352886en
dc.identifier.pubmed25660304
dc.identifier.pubmed25660304en


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