Baseline biomarkers of connectome disruption and atrophy predict future processing speed in early multiple sclerosis.

ABSTRACT: The development of accurate prognoses in multiple sclerosis is difficult, as the disease is characterized by heterogeneous patterns of brain abnormalities that relate in an unclear way to future impairments. Here, we use a statistical modeling approach to determine if the baseline pattern of connectome disruption due to T2-FLAIR lesions could predict a patient's future processing speed, as measured using the Symbol Digits Modality Test scores. Imaging data, demographics and Symbol Digits Modality Test scores were collected from 61 early relapsing remitting multiple sclerosis patients. The Network Modification Tool was used to estimate damage to the connectome by quantifying white matter abnormalities' effects on 1) global network properties, 2) regional connectivity and 3) connectivity bet

SUBMITTER: Kuceyeski A 

PROVIDER: S-EPMC6019863 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature