Evidence map›Paper›PMID 33093200›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

High-amplitude cofluctuations in cortical activity drive functional connectivity.

Farnaz Zamani Esfahlani, Youngheun Jo, Joshua Faskowitz, Lisa Byrge, Daniel P Kennedy, Olaf Sporns, Richard F Betzel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.

0numbers the graph read from it
0cells of the map it votes in
149citing 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

149 citing papers in PubMed.

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  7. Stress drives the hippocampus to prioritize statistical prediction over episodic encoding.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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  9. Human striatal population state dynamics.bioRxiv : the preprint server for biology · 2026
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89 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.

Farnaz Zamani EsfahlaniDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405.
Youngheun JoDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405.ORCID 0000-0003-1428-6348
Joshua FaskowitzDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405.ORCID 0000-0003-1814-7206
Lisa ByrgeDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405.ORCID 0000-0001-8554-1401
Daniel P KennedyDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405.ORCID 0000-0002-5915-0893
Olaf SpornsDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405.
Richard F BetzelDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405; rbetzel@indiana.edu.

Funding

TRAINING PROGRAM IN INTEGRATIVE DEVELOPMENTAL PROCESST32HD007475 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI Daniel Patrick Kennedy, LINDA B. SMITH · 1995 to 2026
$9.5M
Using complex video stimuli to elucidate atypical brain functioning in ASDR01MH110630 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI Daniel Patrick Kennedy · 2017 to 2026
$5.6M
Investigating Brain Connectivity in Autism at the Whole-Brain LevelR00MH094409 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI KENNEDY, DANIEL PATRICK · 2012 to 2014
$714k
NICHD NIH HHS T32 HD007475NIMH NIH HHS R00 MH094409NIMH NIH HHS R01 MH110630
6 · The paper itself

Abstract

Resting-state functional connectivity is used throughout neuroscience to study brain organization and to generate biomarkers of development, disease, and cognition. The processes that give rise to correlated activity are, however, poorly understood. Here we decompose resting-state functional connectivity using a temporal unwrapping procedure to assess the contributions of moment-to-moment activity cofluctuations to the overall connectivity pattern. This approach temporally resolves functional connectivity at a timescale of single frames, which enables us to make direct comparisons of cofluctuations of network organization with fluctuations in the blood oxygen level-dependent (BOLD) time series. We show that surprisingly, only a small fraction of frames exhibiting the strongest cofluctuation amplitude are required to explain a significant fraction of variance in the overall pattern of connection weights as well as the network's modular structure. These frames coincide with frames of high BOLD activity amplitude, corresponding to activity patterns that are remarkably consistent across individuals and identify fluctuations in default mode and control network activity as the primary driver of resting-state functional connectivity. Finally, we demonstrate that cofluctuation amplitude synchronizes across subjects during movie watching and that high-amplitude frames carry detailed information about individual subjects (whereas low-amplitude frames carry little). Our approach reveals fine-scale temporal structure of resting-state functional connectivity and discloses that frame-wise contributions vary across time. These observations illuminate the relation of brain activity to functional connectivity and open a number of directions for future research.

Indexed as

BrainBrain MappingHumansMagnetic Resonance ImagingNerve NetNeural PathwaysOxygenRestOxygendynamicsfunctional connectivitynaturalistic stimulitime-varying connectivity

Identifiers

PMID33093200
PMCPMC7668041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.