Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features

Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features

Abstract Motor BCIs, with the help of Artificial Intelligence (AI) and machine learning, have shown promise in decoding neural signals for restoring motor function. Structures beyond motor cortex have provided additional sources for movement signals. New evidence points to the role of the insula in...

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Bibliographic Details
Main Authors: Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
SEEG
Insula
Insular cortex
BCI
AI
Neural networks
Online Access:https://doi.org/10.1038/s41598-025-14805-3
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https://doi.org/10.1038/s41598-025-14805-3

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