Počet záznamů: 1
Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging
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SYSNO ASEP 0572336 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging Tvůrce(i) Rehák Bučková, Barbora (UIVT-O) RID, ORCID, SAI
Kala, David (FGU-C) ORCID, RID
Kořenek, Jakub (UIVT-O) ORCID, RID, SAI
Matušková, V. (CZ)
Kumpošt, Vojtěch (FGU-C) ORCID
Svobodová, L. (CZ)
Otáhal, Jakub (FGU-C) RID, ORCID, SAI
Škoch, A. (CZ)
Šulc, V. (CZ)
Olšerová, A. (CZ)
Vyhnálek, M. (CZ)
Janský, P. (CZ)
Tomek, A. (CZ)
Marusič, P. (CZ)
Jiruška, P. (CZ)
Hlinka, Jaroslav (UIVT-O) RID, SAI, ORCIDČíslo článku e0280892 Zdroj.dok. PLoS ONE. - : Public Library of Science - ISSN 1932-6203
Roč. 18, č. 4 (2023)Poč.str. 18 s. Forma vydání Online - E Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova Stroke ; Aging ; Structural connectivity ; Diffusion Magnetic Resonance Imaging ; White matter ; Cognitive Dysfunction ; Tract-Based Spatial Statistics ; Graph Theory ; Tractography Obor OECD Neurosciences (including psychophysiology CEP NV17-28427A GA MZd - Ministerstvo zdravotnictví Způsob publikování Open access Institucionální podpora UIVT-O - RVO:67985807 ; FGU-C - RVO:67985823 UT WOS 001017121000011 EID SCOPUS 85152630346 DOI https://doi.org/10.1371/journal.pone.0280892 Anotace Despite the rising global burden of stroke and its socio-economic implications, the neuroimaging predictors of subsequent cognitive impairment are still poorly understood. We address this issue by studying the relationship of white matter integrity assessed within ten days after stroke and patients' cognitive status one year after the attack. Using diffusion-weighted imaging, we apply the Tract-Based Spatial Statistics analysis and construct individual structural connectivity matrices by employing deterministic tractography. We further quantify the graph-theoretical properties of individual networks. The Tract-Based Spatial Statistic did identify lower fractional anisotropy as a predictor of cognitive status, although this effect was mostly attributable to the age-related white matter integrity decline. We further observed the effect of age propagating into other levels of analysis. Specifically, in the structural connectivity approach we identified pairs of regions significantly correlated with clinical scales, namely memory, attention, and visuospatial functions. However, none of them persisted after the age correction. Finally, the graph-theoretical measures appeared to be more robust towards the effect of age, but still were not sensitive enough to capture a relationship with clinical scales. In conclusion, the effect of age is a dominant confounder especially in older cohorts, and unless appropriately addressed, may falsely drive the results of the predictive modelling. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2024 Elektronická adresa https://dx.doi.org/10.1371/journal.pone.0280892
Počet záznamů: 1