iScience, Volume (26), No (11), Year (2023-11) , Pages (108154-108170)

Title : ( Memory ability and retention performance relate differentially to sleep depth and spindle type )

Authors: Fereshteh Dehnavi , Ping Chai Koo-Poeggel , Maryam Ghorbani , lisa marshall ,

Citation: BibTeX | EndNote

Abstract

Temporal interactions between non-rapid eye movement (NREM) sleep rhythms especially the coupling between cortical slow oscillations (SO, ∼1 Hz) and thalamic spindles (∼12 Hz) have been proposed to contribute to multi-regional interactions crucial for memory processing and cognitive ability. We investigated relationships between NREM sleep depth, sleep spindles and SO-spindle coupling regarding memory ability and memory consolidation in healthy humans. Findings underscore the functional relevance of spindle dynamics (slow versus fast), SO-phase, and most importantly NREM sleep depth for cognitive processing. Cross-frequency coupling analyses demonstrated stronger precise temporal coordination of slow spindles to SO down-state in N2 for subjects with higher general memory ability. A GLM model underscored this relationship, and furthermore that fast spindle properties were predictive of overnight memory consolidation. Our results suggest cognitive fingerprints dependent on conjoint fine-tuned SO-spindle temporal coupling, spindle properties, and brain sleep state.

Keywords

, memory consolidation, sleep spindles, slow oscillations
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@article{paperid:1096732,
author = {Dehnavi, Fereshteh and پینگ کو and Ghorbani, Maryam and لیزا مارشال},
title = {Memory ability and retention performance relate differentially to sleep depth and spindle type},
journal = {iScience},
year = {2023},
volume = {26},
number = {11},
month = {November},
issn = {2589-0042},
pages = {108154--108170},
numpages = {16},
keywords = {memory consolidation; sleep spindles; slow oscillations},
}

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%0 Journal Article
%T Memory ability and retention performance relate differentially to sleep depth and spindle type
%A Dehnavi, Fereshteh
%A پینگ کو
%A Ghorbani, Maryam
%A لیزا مارشال
%J iScience
%@ 2589-0042
%D 2023

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