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Annals of Neurology: Subcortical volume predicts fatigue-prone states in multiple sclerosis

 Last Update: 2022-03-05
 Source: Internet
 Author: User

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Multiple sclerosis (MS) is a chronic immune -mediated disease of the central nervous system characterized by inflammation, demyelination, and neurodegeneration

Immunization quality of life

Fatigue also appears to be frequently present in early stages of disease, including in patients with clinically isolated syndrome (CIS) or radiologically isolated syndrome (RIS), and is associated with a greater risk of translation into clinically defined multiple sclerosis, demonstrating that The prognostic value of fatigue

Magnetic resonance imaging (MRI) has been used to explore structural and functional correlates of fatigue

The relationship between fMRI abnormalities and multiple sclerosis-related fatigue has been consistently demonstrated, both in task-related and resting-state fMRI studies

However, little is known about the exact spatial distribution pattern of subcortical brain volume at onset and its relationship to fatigue development

statistics

In the longitudinal cohort, the volume of the medulla was additionally predictive of fatigue severity (

In the SCN analysis, network hubs in patients with worsening fatigue were detected in putamen (p = 0.

This study revealed a predictive association of specific subcortical gray matter volumes with fatigue in an early and initially untreated multiple sclerosis cohort

Predictive association of specific subcortical gray matter volumes with fatigue in an early and initially untreated multiple sclerosis cohort

Subcortical Volumes as Early Predictors of Fatigue in Multiple Sclerosis.
Annals of Neurology.
2022;91(2):

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