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Dataset Information

Reduced clinical connectome fingerprinting in multiple sclerosis predicts fatigue severity.


ABSTRACT:

Background

Brain connectome fingerprinting is progressively gaining ground in the field of brain network analysis. It represents a valid approach in assessing the subject-specific connectivity and, according to recent studies, in predicting clinical impairment in some neurodegenerative diseases. Nevertheless, its performance, and clinical utility, in the Multiple Sclerosis (MS) field has not yet been investigated.

Methods

We conducted the Clinical Connectome Fingerprint (CCF) analysis on source-reconstructed magnetoencephalography signals in a cohort of 50 subjects: twenty-five MS patients and twenty-five healthy controls.

Results

All the parameters of identifiability, in the alpha band, were reduced in patients as compared to controls. These results implied a lower s

SUBMITTER: Cipriano L 

PROVIDER: S-EPMC10329093 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature