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Dataset Information

Structural connectivity in recovery after coma: Connectome atlas approach.


ABSTRACT:

Aim

Pathological states of recovery after coma as a result of a severe brain injury are marked with changes in structural connectivity of the brain. This study aimed to identify a topological correlation between white matter integrity and the level of functional and cognitive impairment in patients recovering after coma.

Methods

Structural connectomes were computed based on fractional anisotropy maps from 40 patients using a probabilistic human connectome atlas. We used a network based statistics approach to identify potential brain networks associated with a more favorable outcome, assessed with clinical neurobehavioral scores at the patient's discharge from the acute neurorehabilitation unit.

Results

We identified a subnetwork whose strength of connectivity correlat

SUBMITTER: Pozeg P 

PROVIDER: S-EPMC9996111 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature