Prediction of Epilepsy Phenotype in Intra-amygdala Kainic Acid Mouse Model of Epilepsy-Reference-Cited by-同舟云学术

Prediction of Epilepsy Phenotype in Intra-amygdala Kainic Acid Mouse Model of Epilepsy

Published:2023-11-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering
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Author:

Edoho Mercy¹^ORCID,Mamad Omar²^ORCID,Henshall David C²^ORCID,Mooney Catherine¹^ORCID,Wei Lan¹^ORCID

Affiliation:

1. University College Dublin, Ireland

2. FutureNeuro SFI Research Centre, RCSI University of Medicine and Health Sciences, Ireland and Department of Physiology & Medical Physics, RCSI University of Medicine and Health Sciences, Ireland

Funder

European Union?s Horizon 2020 Research and Innovation Programme under the NeuroInsight Marie Sk?odowska-Curie grant agreement No. 101034252. This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number 16/RC/3948 and co-funded under the European Regional Development Fund and by FutureNeuro industry partners.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637732.3637740

Reference22 articles.

1. A review of channel selection algorithms for EEG signal processing

2. Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

3. A universal automated tool for reliable detection of seizures in rodent models of acquired and genetic epilepsy

4. High concordance between hippocampal transcriptome of the mouse intra‐amygdala kainic acid model and human temporal lobe epilepsy

5. Detection and Prediction of Absence Seizures Based on Nonlinear Analysis of the EEG in Wag/Rij Animal Model

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