Evidence map›Paper›PMID 37480715›Full record

ArticleDevelopmental cognitive neuroscience2023

Individual differences in time-varying and stationary brain connectivity during movie watching from childhood to early adulthood: Age, sex, and behavioral associations.

Xin Di, Ting Xu, Lucina Q Uddin, Bharat B Biswal

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Xin DiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA. Electronic address: xin.di@njit.edu.
Ting XuCenter for the Developing Brain, Child Mind Institute, New York, NY 10022, USA.
Lucina Q UddinDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA. Electronic address: bbiswal@yahoo.com.

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 brain developments during movie watching and resting-state in autism spectrum disorderR15MH125332 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI DI, XIN · 2021 to 2021
$305k
NIMH NIH HHS R01 MH131335NIMH NIH HHS R15 MH125332
6 · The paper itself

Abstract

Spatially remote brain regions exhibit dynamic functional interactions across various task conditions. While time-varying functional connectivity during movie watching shows sensitivity to movie content, stationary functional connectivity remains relatively stable across videos. These findings suggest that dynamic and stationary functional interactions may represent different aspects of brain function. However, the relationship between individual differences in time-varying and stationary connectivity and behavioral phenotypes remains elusive. To address this gap, we analyzed an open-access functional MRI dataset comprising participants aged 5-22 years, who watched two cartoon movie clips. We calculated regional brain activity, time-varying connectivity, and stationary connectivity, examining associations with age, sex, and behavioral assessments. Model comparison revealed that time-varying connectivity was more sensitive to age and sex effects compared with stationary connectivity. The preferred age models exhibited quadratic log age or quadratic age effects, indicative of inverted-U shaped developmental patterns. In addition, females showed higher consistency in regional brain activity and time-varying connectivity than males. However, in terms of behavioral predictions, only stationary connectivity demonstrated the ability to predict full-scale intelligence quotient. These findings suggest that individual differences in time-varying and stationary connectivity may capture distinct aspects of behavioral phenotypes.

Indexed as

Brain MappingMotion PicturesAdultBrainChildFemaleHumansIndividualityMagnetic Resonance ImagingMaleBrain connectivityBrain developmentModel comparisonMovie watchingTime-varying connectivity

Identifiers

PMID37480715
PMCPMC10393546

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.