Evidence map›Paper›PMID 29517975›Full record

ArticleeLife2018

Temporal transitions of spontaneous brain activity.

Zhiwei Ma, Nanyin Zhang

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Where do we stand on fMRI in awake mice?Cerebral cortex (New York, N.Y. : 1991) · 2024
    Pooled it
  2. The Cerebellar Connectome.Cerebellum (London, England) · 2026
    Article
  3. Article
  4. Time Persistence of the FMRI Resting-State Functional Brain Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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  12. Hemodynamic cortical ripples through cyclicity analysis.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  13. Exploring memory-related network via dorsal hippocampus suppression.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  14. Article
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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

2 authors.

Zhiwei MaDepartment of Biomedical Engineering, The Huck Institutes of Life Sciences, The Pennsylvania State University, State College, United States.
Nanyin ZhangDepartment of Biomedical Engineering, The Huck Institutes of Life Sciences, The Pennsylvania State University, State College, United States.ORCID 0000-0002-5824-9058

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Mechanistic dissection of the neural basis of the resting-state fMRI signal using multi-modal approachesRF1MH114224 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI DREW, PATRICK JAMES, ZHANG, NANYIN · 2017 to 2018
$3.8M
Resting-state Neural Networks in Awake RodentsR01NS085200 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI ZHANG, NANYIN · 2013 to 2024
$3.4M
Longitudinal assessment of trauma on neural circuitry development into adulthoodR01MH098003 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI KING, JEAN A, ZHANG, NANYIN · 2013 to 2017
$1.8M
NIMH NIH HHS R01 MH098003NIMH NIH HHS R01MH098003NIMH NIH HHS RF1 MH114224NIMH NIH HHS RF1MH114224NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS085200NINDS NIH HHS R01NS085200
6 · The paper itself

Abstract

Spontaneous brain activity, typically investigated using resting-state fMRI (rsfMRI), provides a measure of inter-areal resting-state functional connectivity (RSFC). Although it has been established that RSFC is non-stationary, previous dynamic rsfMRI studies mainly focused on revealing the spatial characteristics of dynamic RSFC patterns, but the temporal relationship between these RSFC patterns remains elusive. Here we investigated the temporal organization of characteristic RSFC patterns in awake rats and humans. We found that transitions between RSFC patterns were not random but followed specific sequential orders. The organization of RSFC pattern transitions was further analyzed using graph theory, and pivotal RSFC patterns in transitions were identified. This study has demonstrated that spontaneous brain activity is not only nonrandom spatially, but also nonrandom temporally, and this feature is well conserved between rodents and humans. These results offer new insights into understanding the spatiotemporal dynamics of spontaneous activity in the mammalian brain.

Indexed as

AnimalsBrainHumansMagnetic Resonance ImagingMembrane PotentialsNervous System Physiological PhenomenaNeural PathwaysRatsRestSignal Processing, Computer-AssistedWakefulnessawake ratgraph theoryhumanneuroscienceratresting-state functional connectivityspontaneous brain activity

Identifiers

PMID29517975
PMCPMC5843406

What OpenQuestion holds

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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.