Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network

This work emphasizes the importance of examining hierarchically-organized brain source interactions in the frequency domain using a unified framework which fully captures the complex dynamics of the motor network.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2024-12-13
DOI
https://doi.org/10.1109/tbme.2024.3516943
Citations
12
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
4.17
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article

Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network

Yuri Antonacci, Laura Sparacino, Ileana Pirovano, Luca Faes et al.
12 citations
IEEE Transactions on Biomedical Engineering
Neural Networks and Applications
4.17
article

Spectral Information Dynamics of Cortical Signals Uncover the Hierarchical Organization of the Human Brain's Motor Network

Yuri Antonacci, Laura Sparacino, Ileana Pirovano, Luca Faes, Alfonso Mastropietro, Chiara Barà, Giovanna Rizzo
article en
12 citations

Abstract

This work emphasizes the importance of examining hierarchically-organized brain source interactions in the frequency domain using a unified framework which fully captures the complex dynamics of the motor network.

IEEE Transactions on Biomedical EngineeringVol. 72(5)
Institute of Biomedical Technologies (IT), National Research Council (IT), University of Palermo (IT)
Openalex Percentile: Top 5%
Neural Networks and Applications
4.17
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