Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses

Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses

The majority of electroencephalographic (EEG) and magnetoencephalographic (MEG) studies filter and analyse neural signals in specific frequency ranges, known as “canonical” frequency bands. However, this segmentation, is not exempt from limitations, mainly due to the lack of adaptation to the neural...

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Bibliographic Details
Main Authors: Víctor Rodríguez-González, Pablo Núñez, Carlos Gómez, Yoshihito Shigihara, Hideyuki Hoshi, Miguel Ángel Tola-Arribas, Mónica Cano, Ángel Guerrero, David García-Azorín, Roberto Hornero, Jesús Poza
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:NeuroImage
Subjects:
Functional network
Louvain community detection
Frequency bands
Connectivity-based Meta-Bands
Automatic and personalized frequency band segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923004834

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http://www.sciencedirect.com/science/article/pii/S1053811923004834

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