Dynamic Mechanisms of Neocortical Focal Seizure Onset
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 205983-177336-1292
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1003787
- Title of journal
- PLoS Computational Biology
- Article number
- e1003787
- First page
- -
- Volume
- 10
- Issue
- 8
- ISSN
- 1553-734X
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1371/journal.pcbi.1003787
- 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
-
3
- Research group(s)
-
B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 28
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Epileptic seizures have been modelled computationally, mainly focusing on temporal aspects. However, up until this paper, a comprehensive, spatio-temporal framework for understanding seizure initiation was lacking. The modelling approach and findings in this work underpin follow-up work by the authors, as can be seen by the citations; as such, it represents a landmark paper in the spatio-temporal modelling of seizures. This paper has won first-place award at conference, and has also supported several successful funding applications. This work has also been taken up by other groups in the UK and beyond, and we share the source code openly.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -