Cortical reactivations during sleep spindles following declarative learning.
Consolidation
EEG/fMRI
Memory
Oscillations
Replay
Sleep
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 07 2019
15 07 2019
Historique:
received:
27
11
2018
revised:
21
02
2019
accepted:
23
03
2019
pubmed:
1
4
2019
medline:
21
12
2019
entrez:
1
4
2019
Statut:
ppublish
Résumé
Increasing evidence suggests that sleep spindles are involved in memory consolidation, but few studies have investigated the effects of learning on brain responses associated with spindles in humans. Here we used simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) during sleep to assess haemodynamic brain responses related to spindles after learning. Twenty young healthy participants were scanned with EEG/fMRI during (i) a declarative memory face sequence learning task, (ii) subsequent sleep, and (iii) recall after sleep (learning night). As a control condition an identical EEG/fMRI scanning protocol was performed after participants over-learned the face sequence task to complete mastery (control night). Results demonstrated increased responses in the fusiform gyrus both during encoding before sleep and during successful recall after sleep, in the learning night compared to the control night. During sleep, a larger response in the fusiform gyrus was observed in the presence of fast spindles during the learning as compared to the control night. Our findings support a cortical reactivation during fast spindles of brain regions previously involved in declarative learning and subsequently activated during memory recall, thereby promoting the cortical consolidation of memory traces.
Identifiants
pubmed: 30928690
pii: S1053-8119(19)30251-4
doi: 10.1016/j.neuroimage.2019.03.051
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
104-112Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.