Spatiotemporal Dynamics of Sleep Spindle Sources Across NREM Sleep Cycles

Overview

Journal Front Neurosci

Date 2019 Jul 30

PMID 31354426

Citations 10

Authors

Valentina Alfonsi

Aurora DAtri

Maurizio Gorgoni

Serena Scarpelli

Anastasia Mangiaruga

Michele Ferrara

Luigi De Gennaro

Affiliations

Soon will be listed here.

Abstract

The existence of two different types of sleep spindles (slow and fast) is well-established, according to their topographical distribution at scalp- and cortical-level. Our aim was to provide a systematic investigation focused on the temporal evolution of sleep spindle sources during non-rapid eye movement (NREM) sleep. Spindle activity was recorded and automatically detected in 20 healthy subjects. Low resolution brain electromagnetic tomography (LORETA) was applied for the EEG source localization. Aiming to evaluate the time course of the detected slow and fast spindle sources, we considered the first four NREM sleep cycles and divided each cycle into five intervals of equal duration. We confirmed the preferential localization in the frontal (Brodmann area 10) and parietal (Brodmann area 7) cortical regions, respectively for slow (11.0-12.5) and fast (13.0-14.5) spindles. Across subsequent NREM sleep episodes, the maximal source activation remained systematically located in Brodmann area 10 and Brodmann area 7, showing the topographical stability of the detected generators. However, a different time course was observed as a function of the type of spindles: a linear decrease across subsequent cycles was found for slow spindle but not for fast spindle source. The intra-cycle variations followed a "U" shaped curve for both spindle source, with a trough around third and fourth interval (middle part) and the highest values at the beginning and the end of the considered temporal window. We confirmed the involvement of the frontal and parietal brain regions in spindle generation, showing for the first time their changes within and between consecutive NREM sleep episodes. Our results point to a correspondence between the scalp-recorded electrical activity and the underlying source topography, supporting the notion that spindles are not uniform phenomena: complex region- and time-specific patterns are involved in their generation and manifestation.

Citing Articles

Oscillatory-Quality of sleep spindles links brain state with sleep regulation and function.

Blanco-Duque C, Bond S, Krone L, Dufour J, Gillen E, Purple R Sci Adv. 2024; 10(36):eadn6247.

PMID: 39241075 PMC: 11378912. DOI: 10.1126/sciadv.adn6247.

Sleep spindle architecture associated with distinct clinical phenotypes in older adults at risk for dementia.

Orlando I, OCallaghan C, Lam A, McKinnon A, Tan J, Michaelian J Mol Psychiatry. 2023; 29(2):402-411.

PMID: 38052981 PMC: 11116104. DOI: 10.1038/s41380-023-02335-1.

Memory ability and retention performance relate differentially to sleep depth and spindle type.

Dehnavi F, Koo-Poeggel P, Ghorbani M, Marshall L iScience. 2023; 26(11):108154.

PMID: 37876817 PMC: 10590735. DOI: 10.1016/j.isci.2023.108154.

Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model.

Jajcay N, Cakan C, Obermayer K Front Comput Neurosci. 2022; 16:769860.

PMID: 35603132 PMC: 9120371. DOI: 10.3389/fncom.2022.769860.

Topographical relocation of adolescent sleep spindles reveals a new maturational pattern in the human brain.

Gombos F, Bodizs R, Potari A, Bocskai G, Berencsi A, Szakacs H Sci Rep. 2022; 12(1):7023.

PMID: 35487959 PMC: 9054798. DOI: 10.1038/s41598-022-11098-8.

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