Evidence map›Paper›PMID 41775974›Full record

ArticleNpj biological timing and sleep2026

Control vs. salience: a new axis of circadian brain-body organization.

Olivier Demers, Sanaz Ghaffari, Chen Li, Russell Butler

Abstract read
In one paragraph

Article in Npj biological timing and sleep, 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

4 authors.

Olivier DemersDepartment of Electrical and Computer Engineering, Université de Sherbrooke, Université de Sherbrooke, Sherbrooke, QC, Canada.
Sanaz GhaffariDepartment of Computer Science, Bishop's University, Bishop's University, Sherbrooke, QC, Canada.
Chen LiDepartment of Computer Science, Bishop's University, Bishop's University, Sherbrooke, QC, Canada.
Russell ButlerDepartment of Computer Science, Bishop's University, Bishop's University, Sherbrooke, QC, Canada. rbutler@ubishops.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian robustness is usually cast on a single weak-strong continuum, but multi-system data suggest a different picture. We followed 52 healthy young adults for ~30 days with wearable locomotor (accelerometry; ACC) and autonomic (heart rate; BPM) signals and paired these with structural and resting-state fMRI. From person-level circadian feature vectors (stability, amplitude, acrophase, and ACC-BPM alignment/lag), we uncovered a Control-Salience axis of brain-body organization. A control-anchored archetype showed ACC-dominant rhythms-higher activity stability and amplitude, later BPM acrophase, and a longer ACC → BPM phase lead-together with stronger connectivity in cognitive control networks. A complementary salience-anchored archetype exhibited BPM-dominant rhythms-earlier BPM acrophase, higher BPM relative amplitude, tighter ACC-BPM coupling-and stronger connectivity in salience and attention networks. Across individuals, cross-system alignment (ACC-BPM lag) tracked control-network coherence, whereas rhythm timing and amplitude related selectively to cortical geometry and network strength. These findings recast circadian health as axis-based and system-specific: individuals organize along a spectrum from stability-anchored, locomotor-led profiles to coupling-anchored, autonomic-dominated profiles with distinct neural correlates. The Control-Salience axis refines mechanistic models of circadian risk and points to alignment-aware, network-targeted strategies for monitoring and intervention.

Identifiers

PMID41775974
PMCPMC12912377

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.