Evidence map›Paper›PMID 35970984›Full record

ArticleNature communications2022

Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest.

Manish Saggar, James M Shine, Raphaël Liégeois, Nico U F Dosenbach, Damien Fair

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. The topology of representational geometry.Frontiers in neuroscience · 2025
    Article
  14. Article
  15. The control costs of human brain dynamics.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  16. 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

5 authors.

Manish SaggarDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. saggar@stanford.edu.ORCID http://orcid.org/0000-0002-5307-2249
James M ShineBrain and Mind Center, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-1762-5499
Raphaël LiégeoisInstitute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Nico U F DosenbachDepartments of Neurology, Radiology, Pediatrics and Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-6876-7078
Damien FairDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-8602-393X

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
Identification of outcome-based sub-populations using deep phenotyping and precision functional mapping across ADHD and ASDR01MH096773 · NIMH · UNIVERSITY OF MINNESOTA · PI DOSENBACH, NICO, FAIR, DAMIEN A · 2012 to 2024
$9.4M
Brain trajectories in ADHDR01MH115357 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A, NIGG, JOEL T · 2017 to 2021
$3.8M
Only time will tell: a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illnessDP2MH119735 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2018 to 2018
$2.4M
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATIONK23NS088590 · NINDS · WASHINGTON UNIVERSITY · PI DOSENBACH, NICO · 2015 to 2019
$886k
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient PopulationsR00MH104605 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2017 to 2019
$747k
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient PopulationsK99MH104605 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2015 to 2016
$244k
NIDA NIH HHS U01 DA041148NIMH NIH HHS DP2 MH119735NIMH NIH HHS K99 MH104605NIMH NIH HHS R00 MH104605NIMH NIH HHS R01 MH096773NIMH NIH HHS R01 MH115357NIMH NIH HHS U54 MH091657NINDS NIH HHS K23 NS088590
6 · The paper itself

Abstract

In the absence of external stimuli, neural activity continuously evolves from one configuration to another. Whether these transitions or explorations follow some underlying arrangement or lack a predictable ordered plan remains to be determined. Here, using fMRI data from highly sampled individuals (~5 hours of resting-state data per individual), we aimed to reveal the rules that govern transitions in brain activity at rest. Our Topological Data Analysis based Mapper approach characterized a highly visited transition state of the brain that acts as a switch between different neural configurations to organize the spontaneous brain activity. Further, while the transition state was characterized by a uniform representation of canonical resting-state networks (RSNs), the periphery of the landscape was dominated by a subject-specific combination of RSNs. Altogether, we revealed rules or principles that organize spontaneous brain activity using a precision dynamics approach.

Indexed as

Brain MappingData AnalysisBrainHumansMagnetic Resonance ImagingNerve Net

Identifiers

PMID35970984
PMCPMC9378660

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.