Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients-Reference-Cited by-同舟云学术

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

Published:2022-03 Issue:1 Volume:2 Page:100079
ISSN:2666-9560
Container-title:Neuroimage: Reports
language:en
Short-container-title:Neuroimage: Reports

Author:

Tjerkaski Jonathan^ORCID,Thompson William H.,Bellander Bo-Michael,Thelin Eric P.^ORCID,Fransson Peter

Publisher

Elsevier BV

Subject

Materials Chemistry

Reference44 articles.

1. Improving the sensitivity of spin‐echo fMRI at 3T by highly accelerated acquisitions;Barghoorn;Magn Reson Med mrm,2021

2. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI;Behzadi;Neuroimage,2007

3. Salience network integrity predicts default mode network function after traumatic brain injury;Bonnelle;Proc. Natl. Acad. Sci. U. S. A.,2012

4. Topological Aberrance of Structural Brain Network Provides Quantitative Substrates of Post-Traumatic Brain Injury Attention Deficits in Children;Cao;Brain Connect.,2021

5. Compensation of susceptibility-induced signal loss in echo-planar imaging for functional applications;Cordes;Magn. Reson. Imaging,2000

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1. Hierarchical graph learning with convolutional network for brain disease prediction;Multimedia Tools and Applications;2023-10-23

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