Evidence map›Paper›PMID 36965455›Full record

ArticleNeuroImage. Clinical2023

Exploring the longitudinal associations of functional network connectivity and psychiatric symptom changes in youth.

Lorenza Dall'Aglio, Fernando Estévez-López, Mónica López-Vicente, Bing Xu, Oktay Agcaoglu, Elias Boroda, Kelvin O Lim, Vince D Calhoun, Henning Tiemeier, Ryan L Muetzel

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Lorenza Dall'AglioDepartment of Child and Adolescent Psychology and Psychiatry, Erasmus MC, Rotterdam, The Netherlands; The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands.
Fernando Estévez-LópezDepartment of Social and Behavioral Sciences, Harvard T. Chan School of Public Health, Boston, USA.
Mónica López-VicenteDepartment of Child and Adolescent Psychology and Psychiatry, Erasmus MC, Rotterdam, The Netherlands; The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands.
Bing XuDepartment of Child and Adolescent Psychology and Psychiatry, Erasmus MC, Rotterdam, The Netherlands; The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands.
Oktay AgcaogluTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, USA.
Elias BorodaDepartment of Psychiatry and Behavioral Science, University of Minnesota, Minneapolis, USA.
Kelvin O LimDepartment of Psychiatry and Behavioral Science, University of Minnesota, Minneapolis, USA.
Vince D CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, USA.
Henning TiemeierDepartment of Child and Adolescent Psychology and Psychiatry, Erasmus MC, Rotterdam, The Netherlands; Department of Social and Behavioral Sciences, Harvard T. Chan School of Public Health, Boston, USA. Electronic address: tiemeier@hsph.harvard.edu.
Ryan L MuetzelDepartment of Child and Adolescent Psychology and Psychiatry, Erasmus MC, Rotterdam, The Netherlands.
Erasmus University Rotterdam · NLUniversity of Minnesota · USCenter for Translational Research in Neuroimaging and Data Science · USGeorgia State University · USHarvard University · US

Funding

Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivityR01MH123610 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2021 to 2025
$3.1M
NIMH NIH HHS R01 MH123610
6 · The paper itself

Abstract

backgroundFunctional connectivity has been associated with psychiatric problems, both in children and adults, but inconsistencies are present across studies. Prior research has mostly focused on small clinical samples with cross-sectional designs.

methodsWe adopted a longitudinal design with repeated assessments to investigate associations between functional network connectivity (FNC) and psychiatric problems in youth (9- to 17-year-olds, two time points) from the general population. The largest single-site study of pediatric neurodevelopment was used: Generation R (N = 3,131 with data at either time point). Psychiatric symptoms were measured with the Child Behavioral Checklist as broadband internalizing and externalizing problems, and its eight specific syndrome scales (e.g., anxious-depressed). FNC was assessed with two complementary approaches. First, static FNC (sFNC) was measured with graph theory-based metrics. Second, dynamic FNC (dFNC), where connectivity is allowed to vary over time, was summarized into 5 states that participants spent time in. Cross-lagged panel models were used to investigate the longitudinal bidirectional relationships of sFNC with internalizing and externalizing problems. Similar cross-lagged panel models were run for dFNC.

resultsSmall longitudinal relationships between dFNC and certain syndrome scales were observed, especially for baseline syndrome scales (i.e., rule-breaking, somatic complaints, thought problems, and attention problems) predicting connectivity changes. However, no association between any of the psychiatric problems (broadband and syndrome scales) with either measure of FNC survived correction for multiple testing.

conclusionWe found no or very modest evidence for longitudinal associations between psychiatric problems with dynamic and static FNC in this population-based sample. Differences in findings may stem from the population drawn, study design, developmental timing, and sample sizes.

Indexed as

Mental DisordersAdolescentAdultAnxietyBrainChildCross-Sectional StudiesHumansNerve NetAdolescenceBrain developmentFunctional MRILongitudinal studiesPsychopathology

Identifiers

PMID36965455
PMCPMC10074199
OpenAlexW4327920376

What OpenQuestion 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 OpenQuestion graph.