ArticleFrontiers in neuroscience2019
Spatiotemporal Dynamics of Sleep Spindle Sources Across NREM Sleep Cycles.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Differences in Sleep Spindle Characteristics Between Children With Narcolepsy and Those With Other Causes of Subjective Sleepiness.Journal of sleep research · 2026Article
- Sleep-Related Respiratory Disruption is Associated with Altered Spindle Morphology and Poorer Attention in Children.bioRxiv : the preprint server for biology · 2026Article
- Sleep spindles are linked to white matter connectivity differentially in older adults with and without cognitive impairment.Brain communications · 2026Article
- Differential expression of spatiotemporal sleep spindle clusters in aging.Sleep advances : a journal of the Sleep Research Society · 2025Article
- Oscillatory-Quality of sleep spindles links brain state with sleep regulation and function.Science advances · 2024Article
- Sleep spindle architecture associated with distinct clinical phenotypes in older adults at risk for dementia.Molecular psychiatry · 2024Article
- Memory ability and retention performance relate differentially to sleep depth and spindle type.iScience · 2023Article
- Topographical relocation of adolescent sleep spindles reveals a new maturational pattern in the human brain.Scientific reports · 2022Article
- Article
- Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model.Frontiers in computational neuroscience · 2022Article
- Ageing-related changes in nap neuroscillatory activity are mediated and moderated by grey matter volume.The European journal of neuroscience · 2021Article
- Relationship between Cortical Thickness and EEG Alterations during Sleep in the Alzheimer's Disease.Brain sciences · 2021Article
- Sleep-Related Declarative Memory Consolidation in Children and Adolescents with Developmental Dyslexia.Brain sciences · 2021Article
- Role of corpus callosum in sleep spindle synchronization and coupling with slow waves.Brain communications · 2021Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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