Evidence map›Paper›PMID 37031637›Full record

ArticleNeuroImage. Clinical2023

Functional connectivity analysis of childhood depressive symptoms.

Pei Huang, Shi Yu Chan, Zhen Ming Ngoh, Ranjani Nadarajan, Yap Seng Chong, Peter D Gluckman, Helen Chen, Marielle V Fortier, Ai Peng Tan, Michael J Meaney

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Pei HuangSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore. Electronic address: huang_pei@sics.a-star.edu.sg.
Shi Yu ChanSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore.
Zhen Ming NgohSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Ranjani NadarajanDepartment of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada.
Yap Seng ChongSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Obstetrics & Gynaecology, National University Hospital Singapore, Singapore.
Peter D GluckmanSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand.
Helen ChenDepartment of Psychological Medicine, KK Women's and Children's Hospital, Singapore; Duke-National University of Singapore, Singapore.
Marielle V FortierSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Diagnostic and Interventional Radiology, KK Women's and Children's Hospital, Singapore.
Ai Peng TanSingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Diagnostic Imaging, National University Hospital Singapore, Singapore.
Michael J MeaneySingapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Brain - Body Initiative, Agency for Science and Technology, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms.

methodsA longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression.

resultsTen functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings.

conclusionsThis study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.

Indexed as

BrainDepressionChildChild, PreschoolCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuroimagingPrefrontal CortexChildhood depressionFunctional connectivity analysisInsulaLongitudinal studyOrbitofrontal cortexrsfMRISomatomotor networkTemporoparietal network

Identifiers

PMID37031637
PMCPMC10120398

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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.