Evidence map›Paper›PMID 32965156›Full record

ArticleJournal of neurophysiology2020

Spontaneously emerging patterns in human visual cortex and their functional connectivity are linked to the patterns evoked by visual stimuli.

DoHyun Kim, Tomer Livne, Nicholas V Metcalf, Maurizio Corbetta, Gordon L Shulman

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Excitatory and inhibitory networks diverge following early blindness.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Brain-wide dynamic coactivation states code for hand movements in the resting state.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Spontaneous Activity Patterns in Human Attention Networks Code for Hand Movements.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Is it time to put rest to rest?Trends in cognitive sciences · 2021
    Review
  18. Review
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.

DoHyun KimDepartment of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri.
Tomer LivneDepartment of Neurobiology, Weizmann Institution of Science, Rehovot, Israel.
Nicholas V MetcalfDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri.
Maurizio CorbettaDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri.
Gordon L ShulmanDepartment of Neurology, Washington University School of Medicine, St. Louis, Missouri.

Funding

ELECTROPHYSIOLOGICAL STUDIES OF HUMAN ATTENTIONR01MH096482 · NIMH · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO, LEUTHARDT, ERIC CLAUDE · 2012 to 2016
$2.4M
HHS | National Institutes of Health (NIH) RO1 MH096482NIMH NIH HHS R01 MH096482
6 · The paper itself

Abstract

The function of spontaneous brain activity is an important issue in neuroscience. Here we test the hypothesis that patterns of spontaneous activity code representational patterns evoked by stimuli. We compared in human visual cortex multivertex patterns of spontaneous activity to patterns evoked by ecological visual stimuli (faces, bodies, scenes) and low-level visual features (e.g., phase-scrambled faces). Specifically, we identified regions that preferred particular stimulus categories during localizer scans (e.g., extrastriate body area for bodies), measured multivertex patterns for each category during event-related task scans, and then correlated over vertices these stimulus-evoked patterns to the pattern measured on each frame of resting-state scans. The mean correlation coefficient was essentially zero for all regions/stimulus categories, indicating that resting multivertex patterns were not biased toward particular stimulus-evoked patterns. However, the spread of correlation coefficients between stimulus-evoked and resting patterns, positive and negative, was significantly greater for the preferred stimulus category of an ROI. The relationship between spontaneous and stimulus-evoked multivertex patterns also governed the temporal correlation or functional connectivity of patterns of spontaneous activity between individual regions (pattern-based functional connectivity). Resting multivertex patterns related to an object category fluctuated preferentially between ROIs preferring the same category, and fluctuations of the pattern for a category (e.g., body) within its preferred ROIs were largely uncorrelated with fluctuations of the pattern for a disparate category (e.g., scene) within its preferred ROIs. These results support the proposal that spontaneous multivertex activity patterns are linked to stimulus-evoked patterns, consistent with a representational function for spontaneous activity.

Indexed as

Evoked Potentials, VisualAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleVisual CortexVisual PerceptionYoung AdultBOLD fMRIfunctional connectivitymultivariate pattern analysis (MVPA)resting statespontaneous activity

Identifiers

PMID32965156
PMCPMC8356777

What OpenQuestion holds

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Registered trials

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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.