Optimising anti-seizure medication timing using a dynamic network model of seizure rhythms.

Saved in:
Bibliographic Details
Title: Optimising anti-seizure medication timing using a dynamic network model of seizure rhythms.
Authors: Ahern J; Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, United Kingdom., Seneviratne U; Department of Neurosciences, Monash Health, Clayton, VIC, Australia.; Department of Neuroscience, St. Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia., D'Souza W; Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia., Cook MJ; Department of Neuroscience, St. Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia., Terry JR; Cornwall Intellectual Disability Equitable Research, University of Plymouth, Health and Wellbeing Innovation Centre, Truro, United Kingdom.; Neuronostics Ltd., Engine Shed, Station Approach, Bristol, United Kingdom.
Source: Frontiers in network physiology [Front Netw Physiol] 2026 Jan 28; Vol. 5, pp. 1728848. Date of Electronic Publication: 2026 Jan 28 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918334487406676 Publication Model: eCollection Cited Medium: Internet ISSN: 2674-0109 (Electronic) Linking ISSN: 26740109 NLM ISO Abbreviation: Front Netw Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2674-0109
DOI:10.3389/fnetp.2025.1728848