Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 228726-173960-1292
- Type
- D - Journal article
- DOI
-
10.1093/brain/aww299
- Title of journal
- Brain
- Article number
- -
- First page
- 319
- Volume
- 140
- Issue
- 2
- ISSN
- 0006-8950
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1093/brain/aww299
- 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
-
6
- Research group(s)
-
B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 91
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work uses a computational model of transitions to, and from, epileptic seizure states to predict surgery outcomes (the model parameters are constrained by patient data). Published in a leading clinical journal, the study demonstrates the strength of the interdisciplinary collaboration between computer modellers and clinical neurologists. The paper has received widespread attention and positive commentaries in other leading journals (Youngerman & McKhann, 2017 Neurosurgery; Jehi, 2017 Epilepsy Currents). Our general approach was described in an earlier study (https://doi.org/10.1371/journal.pcbi.1004642), which also had widespread attention internationally with press coverage in New Scientist and others.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -