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Functional connectivity in slow-wave sleep: identification of synchronous cortical activity during wakefulness and sleep using time series analysis of electroencephalographic data

Sleep is a behavioral state ideal for studying functional connectivity because it minimizes many sources of between-subject variability that confound waking analyses. This is particularly important for potential connectivity studies in mental illness where cognitive ability, internal milieu and acti...

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Detalhes bibliográficos
Main Authors: LANGHEIM, FREDERICK J. P., MURPHY, MICHAEL, RIEDNER, BRADY A., TONONI, GIULIO
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3134541/
https://ncbi.nlm.nih.gov/pubmed/21281369
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1365-2869.2011.00911.x
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