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dc.contributor.authorDuru, Adil Deniz
dc.contributor.authorGöksel Duru, Dilek
dc.contributor.authorYumerhodzha, Sami
dc.contributor.authorBebek, Nerses
dc.date.accessioned2021-03-11T06:34:09Z
dc.date.available2021-03-11T06:34:09Z
dc.date.issued2015en_US
dc.identifier.citationDuru, A. D., Göksel Duru, D., Yumerhodzha, S., & Bebek, N. (2016). Analysis of correlation between white matter changes and functional responses in thalamic stroke: a DTI & EEG study. Brain imaging and behavior, 10(2), 424-436.en_US
dc.identifier.issn1931-7557
dc.identifier.issn1931-7565
dc.identifier.urihttps://hdl.handle.net/20.500.12846/543
dc.description.abstractDiffusion tensor imaging (DTI) allows in vivo structural brain mapping and detection of microstructural disruption of white matter (WM). One of the commonly used parameters for grading the anisotropic diffusivity in WM is fractional anisotropy (FA). FA value helps to quantify the directionality of the local tract bundle. Therefore, FA images are being used in voxelwise statistical analyses (VSA). The present study used Tract-Based Spatial Statistics (TBSS) of FA images across subjects, and computes the mean skeleton map to detect voxelwise knowledge of the tracts yielding to groupwise comparison. The skeleton image illustrates WM structure and shows any changes caused by brain damage. The microstructure of WM in thalamic stroke is investigated, and the VSA results of healthy control and thalamic stroke patients are reported. It has been shown that several skeleton regions were affected subject to the presence of thalamic stroke (FWE, p < 0.05). Furthermore the correlation of quantitative EEG (qEEG) scores and neurophysiological tests with the FA skeleton for the entire test group is also investigated. We compared measurements that are related to the same fibers across subjects, and discussed implications for VSA of WM in thalamic stroke cases, for the relationship between behavioral tests and FA skeletons, and for the correlation between the FA maps and qEEG scores.Results obtained through the regression analyses did not exceed the corrected statistical threshold values for multiple comparisons (uncorrected, p < 0.05). However, in the regression analysis of FA values and the theta band activity of EEG, cingulum bundle and corpus callosum were found to be related. These areas are parts of the Default Mode Network (DMN) where DMN is known to be involved in resting state EEG theta activity. The relation between the EEG alpha band power values and FA values of the skeleton was found to support the cortico-thalamocortical cycles for both subject groups. Further, the neurophysiological tests including Benton Face Recognition (BFR), Digit Span test (DST), Warrington Topographic Memory test (WTMT), California Verbal Learning test (CVLT) has been regressed with the FA skeleton maps for both subject groups. Our results corresponding to DST task were found to be similar with previously reported findings for working memory and episodic memory tasks. For the WTMT, FA values of the cingulum (right) that plays a role in memory process was found to be related with the behavioral responses. Splenium of corpus callosum was found to be correlated for both subject groups for the BFR.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/s11682-015-9397-1en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNeurophysiological testen_US
dc.subjectNörofizyolojik Testen_US
dc.subjectTalamik İnmeen_US
dc.subjectThalamic Strokeen_US
dc.subjectNeurophysiological Testen_US
dc.subjectNeurophysiologischer Testen_US
dc.subjectThalamus Schlaganfallen_US
dc.titleAnalysis of correlation between white matter changes and functional responses in thalamic stroke: a DTI & EEG studyen_US
dc.typearticleen_US
dc.relation.journalBrain Imaging and Behavioren_US
dc.contributor.authorID0000-0003-1484-8603en_US
dc.identifier.volume10en_US
dc.identifier.issue2en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.departmentTAÜ, Fen Fakültesi, Moleküler Biyoteknoloji Bölümüen_US
dc.contributor.institutionauthorGöksel Duru, Dilek
dc.identifier.startpage424en_US
dc.identifier.endpage436en_US
dc.identifier.scopusqualityQ1en_US


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