Evidence map›Paper›PMID 32130972›Full record

ArticleNeuroImage2020

Intersubject consistent dynamic connectivity during natural vision revealed by functional MRI.

Xin Di, Bharat B Biswal

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Movie Features Are Hierarchically Encoded in the Dynamics of Functional Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Aberrant temporal-spatial complexity of intrinsic fluctuations in major depression.European archives of psychiatry and clinical neuroscience · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 2 countries.

Xin DiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07029, USA; School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07029, USA; School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China. Electronic address: bharat.biswal@njit.edu.
New Jersey Institute of Technology · US

Funding

Functional Connectivity and Baseline Networks of the White Matter Brain: Development and Dissemination of Algorithms and ToolsR01MH131335 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2022 to 2025
$2.1M
Functional MRI of Aging: Biophysical CharacterizationR01AG032088 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI BISWAL, BHARAT BHUSAN · 2010 to 2014
$1.5M
CRCNS: Deciphering the laminar-specific functional connectivity and its vascular and neural correlatesR01AT009829 · NCCIH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2017 to 2019
$400k
CRCNS: Neurophysiological Basis of Brain ConnectivityR01DA038895 · NIDA · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2014 to 2016
$381k
NCCIH NIH HHS R01 AT009829NIA NIH HHS R01 AG032088NIDA NIH HHS R01 DA038895NIMH NIH HHS R01 MH131335
6 · The paper itself

Abstract

The functional communications between brain regions are thought to be dynamic. However, it is usually difficult to elucidate whether the observed dynamic connectivity is functionally meaningful or simply due to noise during unconstrained task conditions such as resting-state. During naturalistic conditions, such as watching a movie, it has been shown that local brain activities, e.g. in the visual cortex, are consistent across subjects. Following similar logic, we propose to study intersubject correlations of the time courses of dynamic connectivity during naturalistic conditions to extract functionally meaningful dynamic connectivity patterns. We analyzed a functional MRI (fMRI) dataset when the subjects watched a short animated movie. We calculated dynamic connectivity by using sliding window technique, and quantified the intersubject correlations of the time courses of dynamic connectivity. Although the time courses of dynamic connectivity are thought to be noisier than the original signals, we found similar level of intersubject correlations of dynamic connectivity to those of regional activity. Most importantly, highly consistent dynamic connectivity could occur between regions that did not show high intersubject correlations of regional activity, and between regions with little stable functional connectivity. The analysis highlighted higher order brain regions such as the default mode network that dynamically interacted with posterior visual regions during the movie watching, which may be associated with the understanding of the movie.

Indexed as

ConnectomeMagnetic Resonance ImagingAdolescentAdultCerebral CortexDefault Mode NetworkFemaleHumansMaleMotion PicturesNerve NetVisual PerceptionYoung AdultDefault mode networkDynamic connectivityIntersubject correlationMovie connectomeNaturalistic conditionSupramarginal gyrus

Identifiers

PMID32130972
PMCPMC10635736
OpenAlexW3008871122

What OpenQuestion holds

Textmetadata
LicenceTDM
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.