Evidence map›Paper›PMID 31504262›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Organization of Propagated Intrinsic Brain Activity in Individual Humans.

Ryan V Raut, Anish Mitra, Scott Marek, Mario Ortega, Abraham Z Snyder, Aaron Tanenbaum, Timothy O Laumann, Nico U F Dosenbach, Marcus E Raichle

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. 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. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Mechanisms of Action of TMS in the Treatment of Depression.Current topics in behavioral neurosciences · 2024
    Review
  12. Hemodynamic cortical ripples through cyclicity analysis.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  13. Article
  14. Article
  15. Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Review
  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

9 authors.

Ryan V RautDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Anish MitraDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Scott MarekDepartment of Psychiatry, Washington University, St. Louis, MO 63110, USA.
Mario OrtegaDepartment of Neurology, Washington University, St. Louis, MO 63110, USA.
Abraham Z SnyderDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Aaron TanenbaumDepartment of Neurology, Washington University, St. Louis, MO 63110, USA.
Timothy O LaumannDepartment of Psychiatry, Washington University, St. Louis, MO 63110, USA.
Nico U F DosenbachDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.
Marcus E RaichleDepartment of Radiology, Washington University, St. Louis, MO 63110, USA.

Funding

IMAGING COREP01NS080675 · NINDS · WASHINGTON UNIVERSITY · PI SNYDER, ABRAHAM ZVI · 2013 to 2017
$6.2M
Developmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8M
Washington University Psychiatry Residency Research Education ProgramR25MH112473 · NIMH · WASHINGTON UNIVERSITY · PI NURI B FARBER, Timothy Eric Spiegel · 2018 to 2026
$1.6M
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATIONK23NS088590 · NINDS · WASHINGTON UNIVERSITY · PI DOSENBACH, NICO · 2015 to 2019
$886k
An fMRI investigation of propagated intrinsic activity in early development and autismF30MH106253 · NIMH · WASHINGTON UNIVERSITY · PI MITRA, ANISH · 2014 to 2018
$148k
NIMH NIH HHS F30 MH106253NIMH NIH HHS R25 MH112473NIMH NIH HHS T32 MH100019NINDS NIH HHS K23 NS088590NINDS NIH HHS P01 NS080675
6 · The paper itself

Abstract

Spontaneous infra-slow (<0.1 Hz) fluctuations in functional magnetic resonance imaging (fMRI) signals are temporally correlated within large-scale functional brain networks, motivating their use for mapping systems-level brain organization. However, recent electrophysiological and hemodynamic evidence suggest state-dependent propagation of infra-slow fluctuations, implying a functional role for ongoing infra-slow activity. Crucially, the study of infra-slow temporal lag structure has thus far been limited to large groups, as analyzing propagation delays requires extensive data averaging to overcome sampling variability. Here, we use resting-state fMRI data from 11 extensively-sampled individuals to characterize lag structure at the individual level. In addition to stable individual-specific features, we find spatiotemporal topographies in each subject similar to the group average. Notably, we find a set of early regions that are common to all individuals, are preferentially positioned proximal to multiple functional networks, and overlap with brain regions known to respond to diverse behavioral tasks-altogether consistent with a hypothesized ability to broadly influence cortical excitability. Our findings suggest that, like correlation structure, temporal lag structure is a fundamental organizational property of resting-state infra-slow activity.

Indexed as

BrainBrain MappingElectroencephalographyHemodynamicsHumansMagnetic Resonance ImagingNerve NetNervous System Physiological PhenomenaRestfunctional connectivityhubsinfra-slownetworksresting-state fMRI

Identifiers

PMID31504262
PMCPMC7132930

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.