Cargando…
Combining time-frequency and spatial information for the detection of sleep spindles
EEG sleep spindles are short (0.5–2.0 s) bursts of activity in the 11–16 Hz band occurring during non-rapid eye movement (NREM) sleep. This sporadic activity is thought to play a role in memory consolidation, brain plasticity, and protection of sleep integrity. Many automatic detectors have been pro...
Autores principales: | O'Reilly, Christian, Godbout, Jonathan, Carrier, Julie, Lina, Jean-Marc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333813/ https://www.ncbi.nlm.nih.gov/pubmed/25745392 http://dx.doi.org/10.3389/fnhum.2015.00070 |
Ejemplares similares
-
A time-frequency analysis of the dynamics of cortical networks of sleep spindles from MEG-EEG recordings
por: Zerouali, Younes, et al.
Publicado: (2014) -
Editorial: Sleep Spindles: Breaking the Methodological Wall
por: O'Reilly, Christian, et al.
Publicado: (2017) -
Automatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools
por: O'Reilly, Christian, et al.
Publicado: (2015) -
Timely coupling of sleep spindles and slow waves linked to early amyloid-β burden and predicts memory decline
por: Chylinski, Daphne, et al.
Publicado: (2022) -
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS)
por: Lajnef, Tarek, et al.
Publicado: (2017)