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

• Published in: NeuroImage (Orlando, Fla.) Vol. 280; p. 120332
• Main Authors: Rodríguez-González, Víctor, Núñez, Pablo, Gómez, Carlos, Shigihara, Yoshihito, Hoshi, Hideyuki, Tola-Arribas, Miguel Ángel, Cano, Mónica, Guerrero, Ángel, García-Azorín, David, Hornero, Roberto, Poza, Jesús
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 15.10.2023; Elsevier Limited; Elsevier
• Subjects: Algorithms; Automatic and personalized frequency band segmentation; Connectivity-based Meta-Bands; EEG; Frequency bands; Frequency dependence; Functional network; Louvain community detection; Magnetoencephalography; Network topologies; Neural networks; Segmentation; Connectivity-based Meta-Bands; Louvain community detection; Frequency bands; Automatic and personalized frequency band segmentation; Functional network

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...