Evidence map›Paper›PMID 26350757›Full record

ArticleHuman brain mapping2015

Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents.

João Ricardo Sato, Claudinei Eduardo Biazoli, Giovanni Abrahão Salum, Ary Gadelha, Nicolas Crossley, Theodore D Satterthwaite, Gilson Vieira, André Zugman, Felipe Almeida Picon, Pedro Mario Pan and 11 more

Abstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Parent Psychopathology and Behavioral Effects on Child Brain-Symptom Networks in the ABCD Study.Journal of the American Academy of Child and Adolescent Psychiatry · 2024
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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

21 authors.

João Ricardo SatoCenter of Mathematics, Computation and Cognition, Universidade Federal Do ABC, Santo Andre, Brazil.
Claudinei Eduardo BiazoliCenter of Mathematics, Computation and Cognition, Universidade Federal Do ABC, Santo Andre, Brazil.
Giovanni Abrahão SalumNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
Ary GadelhaInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Nicolas CrossleyInstitute of Psychiatry, King's College London, London, United Kingdom.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Gilson VieiraDepartment of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil.
André ZugmanInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Felipe Almeida PiconNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
Pedro Mario PanInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Marcelo Queiroz HoexterInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Mauricio AnésNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
Luciana Monteiro MouraInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Marco Antonio Gomes Del'aquillaInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Edson AmaroDepartment of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil.
Philip McGuireInstitute of Psychiatry, King's College London, London, United Kingdom.
Acioly L T LacerdaInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Luis Augusto RohdeNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
Euripedes Constantino MiguelNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
Andrea Parolin JackowskiInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
Rodrigo Affonseca BressanInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.

Funding

Neuroimaging of Dimensional Reward Dysfunction in AdolescenceK23MH098130 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2012 to 2015
$723k
NIMH NIH HHS K23 MH098130NIMH NIH HHS K23MH098130
6 · The paper itself

Abstract

Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on "static," stationary patterns of connectivity, which may miss crucial biological information. Recent methodological advances have allowed the investigation of dynamic functional connectivity patterns that describe non-stationary properties of brain networks. Here, we introduce a novel graphical measure of dynamic connectivity, called time-varying eigenvector centrality (tv-EVC). In a sample 655 children and adolescents (7-15 years old) from the Brazilian "High Risk Cohort Study for Psychiatric Disorders" who were imaged using resting-state fMRI, we used this measure to investigate age effects in the temporal in control and default-mode networks (CN/DMN). Using support vector regression, we propose a network maturation index based on the temporal stability of tv-EVC. Moreover, we investigated whether the network maturation is associated with the overall presence of behavioral and emotional problems with the Child Behavior Checklist. As hypothesized, we found that the tv-EVC at each node of CN/DMN become more stable with increasing age (P < 0.001 for all nodes). In addition, the maturity index for this particular network is indeed associated with general psychopathology in children assessed by the total score of Child Behavior Checklist (P = 0.027). Moreover, immaturity of the network was mainly correlated with externalizing behavior dimensions. Taken together, these results suggest that changes in functional network dynamics during neurodevelopment may provide unique insights regarding pathophysiology.

Indexed as

Brain MappingNeural Networks, ComputerAdolescentAge FactorsAntisocial Personality DisorderBrainChildCohort StudiesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeural Pathwaysconnectivitydefault-mode networkdevelopmentneurodevelopmentpsychopathology

Identifiers

PMID26350757
PMCPMC6868942

What OpenQuestion holds

Textmetadata
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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.