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dc.contributor.authorDURU, ADİL DENİZ
dc.contributor.authorBebek, Nerses
dc.contributor.authorDuru, Dilek Goksel
dc.contributor.authorYumerhodzha, Sami
dc.date.accessioned2021-03-03T20:16:16Z
dc.date.available2021-03-03T20:16:16Z
dc.date.issued2016
dc.identifier.citationDURU A. D. , Duru D. G. , Yumerhodzha S., Bebek N., "Analysis of correlation between white matter changes and functional responses in thalamic stroke: a DTI & EEG study", BRAIN IMAGING AND BEHAVIOR, cilt.10, sa.2, ss.424-436, 2016
dc.identifier.issn1931-7557
dc.identifier.otherav_5907ed45-d286-400a-be33-85d2f0226901
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/62643
dc.identifier.urihttps://doi.org/10.1007/s11682-015-9397-1
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.
dc.language.isoeng
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTemel Bilimler
dc.subjectNÖRO-GÖRÜNTÜLEME
dc.subjectSinirbilim ve Davranış
dc.subjectYaşam Bilimleri
dc.titleAnalysis of correlation between white matter changes and functional responses in thalamic stroke: a DTI & EEG study
dc.typeMakale
dc.relation.journalBRAIN IMAGING AND BEHAVIOR
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume10
dc.identifier.issue2
dc.identifier.startpage424
dc.identifier.endpage436
dc.contributor.firstauthorID232889


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