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0572336 - ÚI 2024 RIV US eng J - Journal Article
Rehák Bučková, Barbora - Kala, David - Kořenek, Jakub - Matušková, V. - Kumpošt, Vojtěch - Svobodová, L. - Otáhal, Jakub - Škoch, A. - Šulc, V. - Olšerová, A. - Vyhnálek, M. - Janský, P. - Tomek, A. - Marusič, P. - Jiruška, P. - Hlinka, Jaroslav
Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging.
PLoS ONE. Roč. 18, č. 4 (2023), č. článku e0280892. ISSN 1932-6203. E-ISSN 1932-6203
R&D Projects: GA MZd(CZ) NV17-28427A
Grant - others:AV ČR(CZ) StrategieAV21/1; AV ČR(CZ) StrategieAV21/26
Program: StrategieAV; StrategieAV
Institutional support: RVO:67985807 ; RVO:67985823
Keywords : Stroke * Aging * Structural connectivity * Diffusion Magnetic Resonance Imaging * White matter * Cognitive Dysfunction * Tract-Based Spatial Statistics * Graph Theory * Tractography
OECD category: Neurosciences (including psychophysiology; Neurosciences (including psychophysiology (FGU-C)
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.1371/journal.pone.0280892
Permanent Link: https://hdl.handle.net/11104/0343075