Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 266020-177336-1292
- Type
- D - Journal article
- DOI
-
10.1073/pnas.1922084117
- Title of journal
- Proceedings of the National Academy of Sciences of the United States of America
- Article number
- -
- First page
- 11048
- Volume
- 117
- Issue
- 20
- ISSN
- 0027-8424
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2020
- URL
-
https://doi.org/10.1073/pnas.1922084117
- 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
- No
- Number of additional authors
-
9
- Research group(s)
-
B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Quantitatively comparing epileptic seizures has avoided rigorous characterisation so far, and we addressed this challenge in this work by synthesising and adapting a variety of computational techniques. The results fundamentally alter our understanding of epilepsy by demonstrating that, contrary to previous assumptions, seizure dynamics change over time within individual patients. Our multi-institutional and interdisciplinary work provides a foundation for creating novel treatments that adapt to changing abnormal dynamics and deliver targeted interventions. This work has already generated substantial interest, as evidenced by a range of invited talks and the number of citations despite its very recent publication in May 2020.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
