Mechanisms underlying different onset patterns of focal seizures
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 238358-177336-1292
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1005475
- Title of journal
- PLoS Computational Biology
- Article number
- e1005475
- First page
- -
- Volume
- 13
- Issue
- 5
- ISSN
- 1553-734X
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
https://doi.org/10.1371/journal.pcbi.1005475
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first computational modelling study to mechanistically explain a well-established observation in clinical neurophysiology: namely why two distinct types of seizure onset patterns exist that are often associated with differing treatment outcomes. This work has been highlighted by the journal as a feature article. This paper arose out of a multi-institutional collaborative work, which since has led to the successful grant application (WT208940/Z/17/Z). It has also generated substantial interest and inspired a whole series of follow-up work by other groups, as evidenced by the citations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -