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dc.contributor.author Gyebnár, Gyula
dc.contributor.author Szabó, Ádám György
dc.contributor.author Sirály, Enikő
dc.contributor.author Fodor, Zsuzsanna
dc.contributor.author Sakovics A
dc.contributor.author Salacz, Pál
dc.contributor.author Hidasi, Zoltán
dc.contributor.author Csibri E
dc.contributor.author Rudas, Gábor
dc.contributor.author Kozák, Lajos Rudolf
dc.contributor.author Csukly, Gábor
dc.date.accessioned 2018-08-08T07:59:29Z
dc.date.available 2018-08-08T07:59:29Z
dc.date.issued 2018
dc.identifier.citation pagination=46-57; journalVolume=272; journalTitle=PSYCHIATRY RESEARCH-NEUROIMAGING;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/4632
dc.identifier.uri doi:10.1016/j.pscychresns.2017.10.007
dc.description.abstract Mild cognitive impairment (MCI) gained a lot of interest recently, especially that the conversion rate to Alzheimer Disease (AD) in the amnestic subtype (aMCI) is higher than in the non-amnestic subtype (naMCI). We aimed to determine whether and how diffusion-weighted MRI (DWI) using the diffusion tensor model (DTI) can differentiate MCI subtypes from healthy subjects. High resolution 3D T1W and DWI images of patients (aMCI, n = 18; naMCI, n = 20; according to Petersen criteria) and controls (n = 27) were acquired at 3T and processed using ExploreDTI and SPM. Voxel-wise and region of interest (ROI) analyses of fractional anisotropy (FA) and mean diffusivity (MD) were performed with ANCOVA; MD was higher in aMCI compared to controls or naMCI in several grey and white matter (GM, WM) regions (especially in the temporal pole and the inferior temporal lobes), while FA was lower in WM ROI-s (e.g. left Cingulum). Moreover, significant correlations were identified between verbal fluency, visual and verbal memory performance and DTI metrics. Logistic regression showed that measuring FA of the crus of fornix along GM volumetry improves the discrimination of aMCI from naMCI. Additional information from DWI/DTI aids preclinical detection of AD and may help detecting early non-Alzheimer type dementia, too.
dc.relation.ispartof urn:issn: 0925-4927
dc.title What can DTI tell about early cognitive impairment? - Differentiation between MCI subtypes and healthy controls by diffusion tensor imaging
dc.type Journal Article
dc.date.updated 2018-01-15T09:51:11Z
dc.language.rfc3066 en
dc.identifier.mtmt 3316307
dc.identifier.pubmed 29126669
dc.contributor.department SE/KSZE/MR Kutatóközpont
dc.contributor.department SE/AOK/K/Pszichiátriai és Pszichoterápiás Klinika
dc.contributor.institution Semmelweis Egyetem


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