Spectral Signatures of Reorganised Brain Networks in Disorders of Consciousness
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9636
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1003887
- Title of journal
- PLoS Computational Biology
- Article number
- e1003887
- First page
- -
- Volume
- 10
- Issue
- 10
- ISSN
- 1553-734X
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2014
- URL
-
https://kar.kent.ac.uk/54636/
- Supplementary information
-
-
- Request cross-referral to
- 1 - Clinical Medicine
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
14
- Research group(s)
-
-
- Citation count
- 84
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work applies network analysis of electrical measurements of brain activity to identify signatures of consciousness in seemingly vegetative patients. The paper is significant because it allows disorders of consciousness to be understood by highlighting the distinctive brain networks in a significant minority of vegetative patients. It describes network mechanisms that support cognitive function and consciousness despite profound behavioural impairment.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
