Article Information
- Received January 22, 2024
- Revision received April 26, 2024
- Accepted June 10, 2024
- Published online July 30, 2024.
Author Information
Author contributions
Author contributions: A.V., E.F.K., and S.N. designed research; A.V. performed research; A.V. analyzed data; A.V., E.F.K., and S.N. wrote the paper.
Disclosures
The authors declare no competing financial interests. The MEMO platform and its associated circuitry burst detection analysis software are currently in the process of commercialization, meaning that part of software elements are under IP evaluation.
A.V. acknowledges Suomen Kulttuurirahasto, Epilepsiatutkimussaatio, and Tampereen Kaupungin Tiederahasto; E.F.K. and S.N. acknowledge the Research Council of Finland; S.N. acknowledges Business Finland for the received research funding. We acknowledge Dr. Laura Ylä-Outinen and Prof. Stephen John Eglen for their assistance in developing data analysis methods, MSc Heini Huhtala for her comments on the statistical testing and Dr. Jouni Sirviö for helpful discussions. A.V. is funded by the Faculty of Medicine and Health Technology of Tampere University, Suomen Kulttuurirahasto (Grant Numbers 00211165 and 00231216), Epilepsiatutkimussäätiö, and Tampereen Kaupungin Tiederahasto. F.E.K. is funded by the Research Council of Finland (Grant Number 332693). S.N. is funded by the Research Council of Finland (Grant Number 348517) and Business Finland.
Funding
Tampereen Yliopisto (UTA)
Suomen Kulttuurirahasto (SKR)
00211165 and 00231216Epilepsiatutkimussäätiö (Epilepsy Research Foundation)
Tampereen Kaupungin Tiederahasto
Research Council of Finland (AKA)
332693; 348517Business Finland
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