ArticlePLoS computational biology2018
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 53 citations in OpenAlex.
- Age-related sleep changes in the human brain: insights from a large-scale thalamocortical model.bioRxiv : the preprint server for biology · 2026Article
- Infant sleep EEG features at 4 months as biomarkers of neurodevelopment at 18 months.Pediatric research · 2025Article
- Increased Sleep Spindles in Regions Engaged during Motor Learning Predict Memory Consolidation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The Cortical Structural Model Extends to Thalamocortical Connections.The European journal of neuroscience · 2025Article
- Phase-Amplitude Coupling of NREM Sleep Oscillations Shows Between-Night Stability and is Related to Overnight Memory Gains.The European journal of neuroscience · 2025Article
- Differential expression of spatiotemporal sleep spindle clusters in aging.Sleep advances : a journal of the Sleep Research Society · 2025Article
- Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep.Software impacts · 2024Article
- Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.PLoS computational biology · 2024Article
- Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.bioRxiv : the preprint server for biology · 2024Article
- Sleep Spindle-Related EEG Connectivity in Children with Attention-Deficit/Hyperactivity Disorder: An Exploratory Study.Entropy (Basel, Switzerland) · 2023Article
- Sleep quality and sleep duration predict brain microstructure among community-dwelling older adults.Neurobiology of aging · 2023Article
- Assessment of Cognitive Function with Sleep Spindle Characteristics in Adults with Epilepsy.Neural plasticity · 2023Article
- Sleep spindles in primates: Modeling the effects of distinct laminar thalamocortical connectivity in core, matrix, and reticular thalamic circuits.Network neuroscience (Cambridge, Mass.) · 2023Article
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- Thalamocortical Spectral Transmission Relies on Balanced Input Strengths.Brain topography · 2022Article
- A Novel Approach to Estimating the Cortical Sources of Sleep Spindles Using Simultaneous EEG/MEG.Frontiers in neurology · 2022Article
- The impact of a closed-loop thalamocortical model on the spatiotemporal dynamics of cortical and thalamic traveling waves.Scientific reports · 2021Article
- Selection of stimulus parameters for enhancing slow wave sleep events with a neural-field theory thalamocortical model.PLoS computational biology · 2021Article
- Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics.Journal of neuroscience methods · 2019Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Sleep spindles are brief oscillatory events during non-rapid eye movement (NREM) sleep. Spindle density and synchronization properties are different in MEG versus EEG recordings in humans and also vary with learning performance, suggesting spindle involvement in memory consolidation. Here, using computational models, we identified network mechanisms that may explain differences in spindle properties across cortical structures. First, we report that differences in spindle occurrence between MEG and EEG data may arise from the contrasting properties of the core and matrix thalamocortical systems. The matrix system, projecting superficially, has wider thalamocortical fanout compared to the core system, which projects to middle layers, and requires the recruitment of a larger population of neurons to initiate a spindle. This property was sufficient to explain lower spindle density and higher spatial synchrony of spindles in the superficial cortical layers, as observed in the EEG signal. In contrast, spindles in the core system occurred more frequently but less synchronously, as observed in the MEG recordings. Furthermore, consistent with human recordings, in the model, spindles occurred independently in the core system but the matrix system spindles commonly co-occurred with core spindles. We also found that the intracortical excitatory connections from layer III/IV to layer V promote spindle propagation from the core to the matrix system, leading to widespread spindle activity. Our study predicts that plasticity of intra- and inter-cortical connectivity can potentially be a mechanism for increased spindle density as has been observed during learning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.