Predictive modeling based on functional connectivity of interictal scalp EEG for infantile epileptic spasms syndrome
This study provides a predictive model utilizing functional connectivity and insights into the diverse electrophysiology observed among outcome groups of IESS.
Authors
- Kotaro Yazaki
- Ryuki Matsuura (ORCID: https://orcid.org/0000-0002-4567-7678)
- Shin-ichiro Hamano
- Tohru Okanishi (ORCID: https://orcid.org/0000-0003-3295-2236)
- Masayoshi Oguri (ORCID: https://orcid.org/0000-0001-8189-6731)
- Tomohiro Chiyonobu (ORCID: https://orcid.org/0000-0001-6678-060X)
- Satoru Sakuma (ORCID: https://orcid.org/0000-0003-3563-2190)
- Sotaro Kanai (ORCID: https://orcid.org/0000-0002-7320-2346)
- Takenori Tozawa (ORCID: https://orcid.org/0000-0001-7082-3182)
- Yoshihiro Maegaki (ORCID: https://orcid.org/0000-0001-5472-5275)
- Yosuke Miyamoto (ORCID: https://orcid.org/0000-0002-1647-6535)
- Masanori Maeda (ORCID: https://orcid.org/0000-0001-9865-0279)
Institutions
- Wakayama Medical University (JP)
- Kyoto Prefectural University of Medicine (JP)
- Saitama Children's Medical Center (JP)
- Osaka Metropolitan University (JP)
- Tottori University (JP)
- Kagawa Prefectural College of Health Sciences (JP)
Publication Details
- Journal
- Clinical Neurophysiology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.clinph.2024.08.016
- Citations
- 4
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Japan Society for the Promotion of Science