Evidence map›Paper›PMID 42719309›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2026

Brain network dynamics in the wake-sleep transition reorganize according to task engagement.

Samika S Kumar, Anat Arzi, Corinne A Bareham, Javier Gonzalez-Castillo, Isabel Fernandez, Enzo Tagliazucchi, Pedro A M Mediano, Peter A Bandettini, Tristan A Bekinschtein

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

9 authors.

Samika S KumarConsciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0009-0009-0571-6853
Anat ArziConsciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-1005-1752
Corinne A BarehamConsciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-1814-9527
Javier Gonzalez-CastilloSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.ORCID https://orcid.org/0000-0002-6520-5125
Isabel FernandezSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Enzo TagliazucchiInstituto de Física de Buenos Aires and Physics Department, University of Buenos Aires, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-0421-9993
Pedro A M MedianoConsciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-1789-5894
Peter A BandettiniSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Tristan A BekinschteinConsciousness and Cognition Lab, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Alertness fluctuations and cognitive processing comprise overlapping brain circuits that include frontoparietal, thalamocortical, and sensory pathways. It is unclear how these brain circuits can simultaneously support such disparate but foundational human processes. To develop an integrated framework of consciousness and cognition, it is important to understand how fluctuations in alertness and cognitive processing interact in their shared circuits. In this electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) study, we assessed individuals who fluctuated between alert and drowsy states while engaged in either an active or passive auditory task. We hypothesized that during periods of low alertness, individuals who actively maintain task engagement would recruit additional frontoparietal and sensory processing networks, while thalamocortical dynamics that typically change during sleep onset would remain unaffected. We found that when alertness decreased, passively listening to auditory tones led to increased synchronization primarily in the parietal lobe, whereas actively performing an auditory task resulted in increased long-range frontoparietal synchronization. During decreasing alertness, passive listening (but not active task engagement) was associated with widespread increased synchronization between the thalamus and cortex. In contrast, active task engagement (but not passive listening) led to increased synchronization between the auditory cortex and the rest of the brain. These results suggest the brain's capacity for flexible functional reorganization when alertness levels decline but cognitive processes persist. The brain patterns that support transitions of consciousness at sleep onset also reflect ongoing cognitive task demands.

Indexed as

BrainSleepWakefulnessAcoustic StimulationAdultAttentionAuditory PerceptionBrain MappingCognitionElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung Adultalertnesscognitionconsciousnesssleep onsetvigilance

Identifiers

PMID42719309
PMCPMC13556789

What OpenQuestion holds

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Registered trials

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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.