A signal EMerGes from the noise

In this issue of Cell Reports Methods, Osanai et al. report an innovative approach to extract an electromyography (EMG) signal from multi-channel local field potential (LFP) recordings using independent component analysis (ICA). This ICA-based approach offers precise and stable long-term behavioral...

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Detalles Bibliográficos
Autores principales: He, Hongshen, McHugh, Thomas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326433/
https://www.ncbi.nlm.nih.gov/pubmed/37426754
http://dx.doi.org/10.1016/j.crmeth.2023.100510
Descripción
Sumario:In this issue of Cell Reports Methods, Osanai et al. report an innovative approach to extract an electromyography (EMG) signal from multi-channel local field potential (LFP) recordings using independent component analysis (ICA). This ICA-based approach offers precise and stable long-term behavioral assessment, eliminating the need for direct muscular recordings.

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