Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 5917
- Type
- D - Journal article
- DOI
-
10.1093/brain/aww143
- Title of journal
- Brain
- Article number
- -
- First page
- 2307
- Volume
- 139
- Issue
- 8
- ISSN
- 0006-8950
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 4 - Psychology, Psychiatry and Neuroscience
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
9
- Research group(s)
-
A - Applied Computing
- Citation count
- 126
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Described as "An important stepping-stone towards our understanding of dynamics in functional networks" (Bassett, 2014 McArthur awardee), this paper introduces novel techniques to characterise dynamical brain connectivity. The proposed "entropy rate" is used to quantify the variability of the connectivity of different brain regions, and analyse differences in schizophrenia, autism and ADHD. The paper was the cover story of the August 2016 issue of Brain, and was widely reported through international news outlets. The research has had broad international impact, including to the Beijing Brain Project (Liu), the predictive signatures of brain state (Constable, Yale) and understanding PTSD (US Army).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -