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Dataset Information

Electroencephalography-Derived Functional Connectivity in Sensorimotor Networks in Post Stroke Fatigue.


ABSTRACT:

Background

Poor suppression of anticipated sensory information from muscle contractions is thought to underlie high fatigue. Such diminished task-related sensory attenuation is reflected in resting state connectivity. Here we test the hypothesis 'altered electroencephalography (EEG)-derived functional connectivity in somatosensory network in the beta band, is a signature of fatigue in post-stroke fatigue'.

Methods

In non-depressed, minimally impaired stroke survivors (n = 29), with median disease duration of 5 years, resting state neuronal activity was measured using 64-channel EEG. Graph theory-based network analysis measure of functional connectivity via small-world index (SW) was calculated focusing on right and left motor (Brodmann areas 4, 6, 8, 9, 24 and 32) and sensor

SUBMITTER: Wu CH 

PROVIDER: S-EPMC10415526 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature