Evidence map›Paper›PMID 31582792›Full record

ArticleScientific reports2019

Topography and behavioral relevance of the global signal in the human brain.

Jingwei Li, Taylor Bolt, Danilo Bzdok, Jason S Nomi, B T Thomas Yeo, R Nathan Spreng, Lucina Q Uddin

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Global Signal Removal (GSR) as graph spatial filtering.bioRxiv : the preprint server for biology · 2026
    Article
  5. Sleep deprivation exhibits an age-dependent effect on infraslow global brain activity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Early menopause is associated with reduced global brain activity.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

7 authors.

Jingwei LiECE, CIRC, N.1 & MNP, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-6395-8801
Taylor BoltData Science Division, Gallup, Atlanta, GA, USA.
Danilo BzdokDepartment of Psychiatry, Psychotherapy and Psychosomatics, Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0003-3466-6620
Jason S NomiDepartment of Psychology, University of Miami, Coral Gables, FL, USA.
B T Thomas YeoECE, CIRC, N.1 & MNP, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-0119-3276
R Nathan SprengLaboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada. nathan.spreng@gmail.com.ORCID http://orcid.org/0000-0003-1530-8916
Lucina Q UddinDepartment of Psychology, University of Miami, Coral Gables, FL, USA. l.uddin@miami.edu.ORCID http://orcid.org/0000-0003-2278-8962

Funding

Cognitive and Neural Flexibility in AutismR01MH107549 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI UDDIN, LUCINA QAZI · 2015 to 2019
$2.4M
NIMH NIH HHS R01 MH107549U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH107549
6 · The paper itself

Abstract

The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly understood. Applying principal component analysis to a large neuroimaging dataset, we found that individual variation in global signal topography recapitulates well-established patterns of large-scale functional brain networks. Using canonical correlation analysis, we delineated relationships between individual differences in global signal topography and a battery of phenotypes. The first canonical variate of the global signal, resembling the frontoparietal control network, was significantly related to an axis of positive and negative life outcomes and psychological function. These results suggest that the global signal contains a rich source of information related to trait-level cognition and behavior. This work has significant implications for the contentious debate over artifact removal practices in neuroimaging.

Indexed as

AdultBrainBrain MappingCognitionHumansMagnetic Resonance ImagingNerve NetPrincipal Component AnalysisRestYoung Adult

Identifiers

PMID31582792
PMCPMC6776616

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.