Evidence map›Paper›PMID 29205692›Full record

ArticleHuman brain mapping2018

Changing brain connectivity dynamics: From early childhood to adulthood.

Ashkan Faghiri, Julia M Stephen, Yu-Ping Wang, Tony W Wilson, Vince D Calhoun

Abstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. [Dynamic alterations in regional brain activity associated with bipolar disorder and smoking status].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  3. Article
  4. Article
  5. Variation in high-amplitude events across the human lifespan.Network neuroscience (Cambridge, Mass.) · 2026
    Article
  6. Article
  7. Article
  8. Aberrant brain dynamics in major depressive disorder during working memory task.European archives of psychiatry and clinical neuroscience · 2025
    Article
  9. Article
  10. Article
  11. [Brain Dynamic Functional Connectivity in Children and Adolescents With Conventional MRI-Negative Idiopathic Generalized Epilepsy].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
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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

5 authors.

Ashkan FaghiriThe Mind Research Network, 1101 Yale Blvd NE, Albuquerque, New Mexico.ORCID 0000-0003-1807-6815
Julia M StephenThe Mind Research Network, 1101 Yale Blvd NE, Albuquerque, New Mexico.
Yu-Ping WangBiomedical Engineering Department, Tulane University, New Orleans, Louisiana.
Tony W WilsonDepartment of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-5053-8306
Vince D CalhounThe Mind Research Network, 1101 Yale Blvd NE, Albuquerque, New Mexico.

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI ABBOTT, CHRISTOPHER C · 2012 to 2017
$14.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
NEURAL MECHANISMS OF SCHIZOPHRENIAP20RR021938 · NCRR · THE MIND RESEARCH NETWORK · PI JUNG, REX · 2008 to 2011
$9.4M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled DataR01DA040487 · NIDA · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, PLIS, SERGEY · 2015 to 2024
$7.1M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
NCRR NIH HHS P20 RR021938NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIDA NIH HHS R01 DA040487NIDA NIH HHS RC2 DA029475NIGMS NIH HHS P20 GM103472
6 · The paper itself

Abstract

Brain maturation through adolescence has been the topic of recent studies. Previous works have evaluated changes in morphometry and also changes in functional connectivity. However, most resting-state fMRI studies have focused on static connectivity. Here we examine the relationship between age/maturity and the dynamics of brain functional connectivity. Utilizing a resting fMRI dataset comprised 421 subjects ages 3-22 from the PING study, we first performed group ICA to extract independent components and their time courses. Next, dynamic functional network connectivity (dFNC) was calculated via a sliding window followed by clustering of connectivity patterns into 5 states. Finally, we evaluated the relationship between age and the amount of time each participant spent in each state as well as the transitions among different states. Results showed that older participants tend to spend more time in states which reflect overall stronger connectivity patterns throughout the brain. In addition, the relationship between age and state transition is symmetric. This can mean individuals change functional connectivity through time within a specific set of states. On the whole, results indicated that dynamic functional connectivity is an important factor to consider when examining brain development across childhood.

Indexed as

AdolescentBrainBrain MappingChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysRestYoung Adult

Identifiers

PMID29205692
PMCPMC5807176

What OpenQuestion holds

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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.