Feature library for behavioural characterization of early and late seizures in an experimental model of post-traumatic epilepsy

The Proposed feature list can be applied for the harmonization of data analysis and reporting, and training of video-based seizure detection algorithms to speed up non-invasive, affordable epilepsy diagnosis and assessment of treatment effects in TBI models.

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Publication Details

Journal
Journal of Neuroscience Methods
Published
2026-01-03
DOI
https://doi.org/10.1016/j.jneumeth.2025.110671
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
29.71
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article

Feature library for behavioural characterization of early and late seizures in an experimental model of post-traumatic epilepsy

Asla Pitkänen, Pedro Andrade
1 citations
Journal of Neuroscience Methods
EEG and Brain-Computer Interfaces
29.71
article

Feature library for behavioural characterization of early and late seizures in an experimental model of post-traumatic epilepsy

Asla Pitkänen, Pedro Andrade
article en
1 citations

Abstract

The Proposed feature list can be applied for the harmonization of data analysis and reporting, and training of video-based seizure detection algorithms to speed up non-invasive, affordable epilepsy diagnosis and assessment of treatment effects in TBI models.

Journal of Neuroscience MethodsVol. 428
University of Eastern Finland (FI)
Openalex Percentile: Top 2%
EEG and Brain-Computer Interfaces
29.71
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Feature library for behavioural characterization of early and late seizures in an experimental model of post-traumatic epilepsy — Asla Pitkänen, Pedro Andrade · Journal of Neuroscience Methods (2026) | TGRS Research Map | TGRS