Functional Connectivity Lateralisation Shift of Resting State Networks is Linked to Visuospatial Memory and White Matter Microstructure in Relapsing–Remitting Multiple Sclerosis

Autor: Zsigmond Tamás Kincses, Márton Attila Kovács, Bálint Kincses, Krisztina Bencsik, Nikoletta Szabó, Bence Bozsik, Zsanett Fricska-Nagy, Eszter Tóth, Dániel Veréb, Péter Klivényi, Krisztián Kocsis, Péter Faragó, András Király
Rok vydání: 2021
Předmět:
Zdroj: Brain Topography. 35:268-275
ISSN: 1573-6792
0896-0267
DOI: 10.1007/s10548-021-00881-x
Popis: Laterality patterns of resting state networks (RSN) change in various neuropsychiatric conditions. Multiple sclerosis (MS) causes neuro-cognitive symptoms involving dysfunctional large-scale brain networks. Yet, whether healthy laterality patterns of RSNs are maintained in MS and whether altered laterality patterns explain disease symptoms has not been explicitly investigated. We analysed functional MRI and diffusion tensor imaging data from 24 relapsing–remitting MS patients and 25 healthy participants. We performed group-level independent component analysis and used dual regression to estimate individual versions of well-established RSNs. Voxelwise laterality indices were calculated for each RSN. Group differences were assessed via a general linear model-based approach. The relationship between functional laterality and white matter microstructural asymmetry was assessed using Tract-Based Spatial Statistics. Spearman’s correlation was calculated between laterality indices and Brief International Cognitive Assessment for Multiple Sclerosis scores. Functional laterality of the dorsal attention network showed a significant leftward shift in the MS group in the posterior intraparietal sulcus (p
Databáze: OpenAIRE