Evidence map›Paper›PMID 41002111›Full record

ArticleHuman brain mapping2025

Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.

Gregory F Rattray, Hugo R Jourde, Sylvain Baillet, Emily B J Coffey

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gregory F RattrayDepartment of Psychology, Concordia University, Quebec, Canada.ORCID 0009-0002-3582-6964
Hugo R JourdeDepartment of Psychology, Concordia University, Quebec, Canada.ORCID 0000-0001-5004-101X
Sylvain BailletMontreal Neurological Institute, McGill University, Quebec, Canada.ORCID 0000-0002-6762-5713
Emily B J CoffeyDepartment of Psychology, Concordia University, Quebec, Canada.ORCID 0000-0001-8249-7396

Funding

Natural Sciences and Engineering Research Council of Canada
6 · The paper itself

Abstract

Subcortical brain regions like the thalamus are integral to numerous sensory and cognitive functions. Magnetoencephalography (MEG) enables the study of widespread brain networks with high temporal resolution, but the degree to which deep sources like the thalamus can be resolved remains unclear. Functional connectivity methods may enhance differentiation, yet few studies have extended them beyond the cortex. We investigated the possibility of resolving deep sources via connectivity patterns during thalamo-cortical sleep spindles to leverage their well-characterized circuitry, and during spindle-free periods of non-rapid eye movement sleep to explore neural recordings that lack such high-amplitude bursts of activity. MEG and electroencephalography (EEG) were recorded in 19 participants during a 2-h nap. Spindle and non-spindle periods were identified, and connectivity was assessed using coherence and imaginary coherence within a spindle-related network. Graph theory was also applied to identify network hubs. As expected, functional connectivity increased during spindles within a distributed thalamo-cortical-hippocampal network. Cortical connectivity patterns allowed differentiation among small thalamic nuclei, but metric choice and contrast use influenced topography and distance effects. Graph theory revealed distinct cortical, thalamic, and hippocampal contributions to fast (13-16 Hz) and slow (10-13 Hz) sigma-band connectivity. These findings demonstrate that MEG functional connectivity can resolve deep brain networks during NREM sleep and during spindles, and demonstrate how it can be used to study the functional roles of subcortical regions non-invasively in healthy humans. By clarifying methodological influences, we aim to guide future research design and interpretation.

Indexed as

Cerebral CortexMagnetoencephalographySleep StagesThalamusAdultBrain MappingElectroencephalographyFemaleHumansMaleNeural PathwaysYoung Adultcoherencefunctional connectivitygraph theorymagnetoencephalographysleep spindlesspatial resolutionthalamo‐cortical networks

Identifiers

PMID41002111
PMCPMC12465010

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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.