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Performance in information processing speed is associated with parietal white matter tract integrity in multiple sclerosis

Authors :
Matthias Grothe
Katharina Jochem
Sebastian Strauss
Sönke Langner
Michael Kirsch
Kai Hoffeld
Iris Katharina Penner
Guy Nagels
Kai Klepzig
Martin Domin
Martin Lotze
Source :
Frontiers in Neurology, Vol 13 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundThe Symbol Digit Modalities Test (SDMT) is most frequently used to test processing speed in patients with multiple sclerosis (MS). Functional imaging studies emphasize the importance of frontal and parietal areas for task performance, but the influence of frontoparietal tracts has not been thoroughly studied. We were interested in tract-specific characteristics and their association with processing speed in MS patients.MethodsDiffusion tensor imaging was obtained in 100 MS patients and 24 healthy matched controls to compare seed-based tract characteristics descending from the superior parietal lobule [Brodman area 7A (BA7A)], atlas-based tract characteristics from the superior longitudinal fasciculus (SLF), and control tract characteristics from the corticospinal tract (CST) and their respective association with ability on the SDMT.ResultsPatients had decreased performance on the SDMT and decreased white matter volume (each p < 0.05). The mean fractional anisotropy (FA) for the BA7A tract and CST (p < 0.05), but not the SLF, differed between MS patients and controls. Furthermore, only the FA of the SLF was positively associated with SDMT performance even after exclusion of the lesions within the tract (r = 0.25, p < 0.05). However, only disease disability and total white matter volume were associated with information processing speed in a linear regression model.ConclusionsProcessing speed in MS is associated with the structural integrity of frontoparietal white matter tracts.

Details

Language :
English
ISSN :
16642295
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.813fea5983bf4d29982d2e02291dd12b
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2022.982964