Evidence map›Paper›PMID 40335772›Full record

ArticleNature neuroscience2025

Autonomic physiological coupling of the global fMRI signal.

Taylor Bolt, Shiyu Wang, Jason S Nomi, Roni Setton, Benjamin P Gold, Blaise deB Frederick, B T Thomas Yeo, J Jean Chen, Dante Picchioni, Jeff H Duyn and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. A non-neuronal fMRI signal: both a confound and an opportunity for insight.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  2. Baseline electrophysiology versus oxidative metabolism as traits of inter-network differences in neurometabolic association.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Human striatal population state dynamics.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Cortical synchrony is reduced in Alzheimer's disease and relates to arousal state.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  9. Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Global Signal Removal (GSR) as graph spatial filtering.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

14 authors.

Taylor BoltDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA. taylor.s.bolt@gmail.com.ORCID http://orcid.org/0000-0002-0533-3010
Shiyu WangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Jason S NomiDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Roni SettonDepartment of Psychology, Harvard University, Boston, MA, USA.
Benjamin P GoldDepartments of Electrical and Computer Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Blaise deB FrederickBrain Imaging Center McLean Hospital, Harvard Medical School, Belmont, MA, USA.ORCID http://orcid.org/0000-0001-5832-5279
B T Thomas YeoCentre for Translational MR Research, Centre for Sleep & Cognition, Department of Electrical & Computer Engineering, N.1 Institute for Health and Institute for Digital Medicine, National University of Singapore, Singapore, Singapore.
J Jean ChenRotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.
Dante PicchioniAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-8474-3175
Jeff H DuynAdvanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-1530-8916
Shella D KeilholzBiomedical Engineering, Emory University/Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-5737-1660
Lucina Q Uddin *Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Catie Chang *Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.ORCID http://orcid.org/0000-0003-1541-9579

Funding

Contribution of Ultra Low Frequency LFPs to Functional MRIR01NS078095 · NINDS · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D · 2012 to 2022
$3.4M
Crossing space and time: uncovering the nonlinear dynamics of multimodal and multiscale brain activityR01EB029857 · NIBIB · EMORY UNIVERSITY · PI KEILHOLZ, SHELLA D, STANLEY, GARRETT B. · 2020 to 2021
$1.3M
NIBIB NIH HHS R01 EB029857NINDS NIH HHS R01 NS078095
6 · The paper itself

Abstract

The brain is closely attuned to visceral signals from the body's internal environment, as evidenced by the numerous associations between neural, hemodynamic and peripheral physiological signals. Here we show that a major mode of these brain-body cofluctuations can be captured by a single spatiotemporal pattern. Across several independent samples, as well as single-echo and multi-echo functional magnetic resonance imaging (fMRI) data acquisition sequences, we identify widespread cofluctuations in the low-frequency range (0.01-0.1 Hz) between resting-state global fMRI signals, electroencephalogram (EEG) activity, and a host of peripheral autonomic signals spanning cardiovascular, pulmonary, exocrine and smooth muscle systems. The same brain-body cofluctuations observed at rest are elicited by cued deep breathing and intermittent sensory stimuli, as well as spontaneous phasic EEG events during sleep. Furthermore, we show that the spatial structure of global fMRI signals is maintained under experimental suppression of end-tidal carbon dioxide variations, suggesting that respiratory-driven fluctuations in arterial CO

Indexed as

Autonomic Nervous SystemBrainMagnetic Resonance ImagingAdultArousalBrain MappingElectroencephalographyFemaleHumansMaleRespirationYoung Adult

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.