The progressive loss of brain network fingerprints in Amyotrophic Lateral Sclerosis predicts clinical impairment.

ABSTRACT: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by functional connectivity alterations in both motor and extra-motor brain regions. Within the framework of network analysis, fingerprinting represents a reliable approach to assess subject-specific connectivity features within a given population (healthy or diseased). Here, we applied the Clinical Connectome Fingerprint (CCF) analysis to source-reconstructed magnetoencephalography (MEG) signals in a cohort of seventy-eight subjects: thirty-nine ALS patients and thirty-nine healthy controls. We set out to develop an identifiability matrix to assess the extent to which each patient was recognisable based on his/her connectome, as compared to healthy controls. The analysis was performed in the five canonical fre

SUBMITTER: Romano A 

PROVIDER: S-EPMC9241102 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature