Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients

Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients

Prognostication is important in the management of critically ill traumatic brain injury (TBI) patients, as it may guide decisions on treatment intensity. Changes in functional connectivity that arise due to TBI have been observed in several brain networks using resting-state functional magnetic reso...

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Bibliographic Details
Main Authors: Jonathan Tjerkaski, William H. Thompson, Bo-Michael Bellander, Eric P. Thelin, Peter Fransson
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:NeuroImage: Reports
Subjects:
Functional magnetic resonance imaging
Traumatic brain injury
Graph theory
Prognostication
Online Access:http://www.sciencedirect.com/science/article/pii/S2666956022000034
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