Evidence mapPaperPMID 33429433Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Heritability of Functional Connectivity in Resting State: Assessment of the Dynamic Mean, Dynamic Variance, and Static Connectivity across Networks.

Anita D Barber, Catherine E Hegarty, Martin Lindquist, Katherine H Karlsgodt

Open access · greenAbstract readTwin Study
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
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  5. Genetic contributions to brain criticality and its relationship with human cognitive functions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
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  10. Article
  11. Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
  13. Rapid dynamics of electrophysiological connectome states are heritable.bioRxiv : the preprint server for biology · 2024
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  15. Review
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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

4 authors at 4 institutions in 1 country.

Anita D BarberDivision of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York, 11004, USA.
Catherine E HegartyDepartment of Psychology, University of California, Los Angeles, 90095, USA.
Martin LindquistDepartment of Biostatistics, Johns Hopkins University, Baltimore, 21205, USA.
Katherine H KarlsgodtDepartment of Psychology, University of California, Los Angeles, 90095, USA.
Hofstra University · USJohns Hopkins University · USNeurobehavioral Systems · USUniversity of California, Los Angeles · US

Funding

NIMH NIH HHS R01 MH101506NIMH NIH HHS R21 MH122886
6 · The paper itself

Abstract

Recent efforts to evaluate the heritability of the brain's functional connectome have predominantly focused on static connectivity. However, evaluating connectivity changes across time can provide valuable insight about the inherent dynamic nature of brain function. Here, the heritability of Human Connectome Project resting-state fMRI data was examined to determine whether there is a genetic basis for dynamic fluctuations in functional connectivity. The dynamic connectivity variance, in addition to the dynamic mean and standard static connectivity, was evaluated. Heritability was estimated using Accelerated Permutation Inference for the ACE (APACE), which models the additive genetic (h2), common environmental (c2), and unique environmental (e2) variance. Heritability was moderate (mean h2: dynamic mean = 0.35, dynamic variance = 0.45, and static = 0.37) and tended to be greater for dynamic variance compared to either dynamic mean or static connectivity. Further, heritability of dynamic variance was reliable across both sessions for several network connections, particularly between higher-order cognitive and visual networks. For both dynamic mean and static connectivity, similar patterns of heritability were found across networks. The findings support the notion that dynamic connectivity is genetically influenced. The flexibility of network connections, not just their strength, is a heritable endophenotype that may predispose trait behavior.

Indexed as

RestBrainConnectomeDatabases, GeneticFemaleHumansMagnetic Resonance ImagingMaleNerve NetACEdynamic connectivityheritabilityresting state networksstatic connectivity

Identifiers

PMID33429433
PMCPMC8325018
OpenAlexW3119218994

What Socratic holds

Textmetadata
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 Socratic graph.