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Integrated information in the EEG of preterm infants increases with family nurture intervention, age, and conscious state

A putative quantifier of consciousness, integrated information, was applied to preterm infant EEG data after novel pre-processing. Integrated information had a non-random structure as a function of the time lag over which it was computed. For most lags, it increased with age in early life, but even...

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Detalles Bibliográficos
Autores principales: Isler, Joseph R., Stark, Raymond I., Grieve, Philip G., Welch, Martha G., Myers, Michael M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200276/
https://www.ncbi.nlm.nih.gov/pubmed/30356312
http://dx.doi.org/10.1371/journal.pone.0206237
Descripción
Sumario:A putative quantifier of consciousness, integrated information, was applied to preterm infant EEG data after novel pre-processing. Integrated information had a non-random structure as a function of the time lag over which it was computed. For most lags, it increased with age in early life, but even more so in infants exposed to Family Nurture Intervention (FNI), providing further evidence that FNI advances brain maturation in preterm infants. Also, it discriminated between conscious states (awake, REM sleep, NREM sleep), providing empirical support for the Integrated Information Theory of Consciousness in human infants.