Evidence map›Paper›PMID 32458453›Full record

ReviewJournal of child psychology and psychiatry, and allied disciplines2020

Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective.

Rajpreet Chahal, Ian H Gotlib, Amanda E Guyer

Abstract readReview
In one paragraph

Review in Journal of child psychology and psychiatry, and allied disciplines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. The Role of Worry and Emotional Intelligence in Depression in a Non-Clinical and Subclinical Sample.European journal of investigation in health, psychology and education · 2026
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  12. Abnormal neural circuits and altered brain network topological properties in patients with chronic unilateral vestibulopathy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

3 authors.

Rajpreet ChahalDepartment of Psychology, Stanford University, Stanford, CA, USA.ORCID 0000-0003-0985-5622
Ian H GotlibDepartment of Psychology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3622-3199
Amanda E GuyerDepartment of Human Ecology, University of California, Davis, Davis, CA, USA.ORCID 0000-0003-1817-8766

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Developmental Changes in Neural Processes Underlying Inattention, Impulsivity and RegulationR01MH091068 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SCHWEITZER, JULIE B. · 2012 to 2022
$7.4M
Psychobiological Mechanisms Underlying the Association Between Early Life Stress and Depression Across AdolescenceR37MH101495 · NIMH · STANFORD UNIVERSITY · PI IAN H GOTLIB · 2018 to 2026
$6.6M
UC Davis CTSC TL1 Administrative Supplement to Recognize Excellence in Diversity, Equity, Inclusion, and Accessibility MentorshipTL1TR001861 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MEDICI, VALENTINA · 2016 to 2025
$4.7M
Characterizing neurodevelopmental trajectories of social-emotional processing circuitry in girls across adolescenceR03MH116519 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GUYER, AMANDA E · 2018 to 2019
$157k
The Effects of Early Life Stress on the Development of Brain Networks: Predicting Risk for Depression and Suicidal Ideation in AdolescenceF32MH120975 · NIMH · STANFORD UNIVERSITY · PI CHAHAL, RAJPREET · 2020 to 2022
$126k
NCATS NIH HHS TL1 TR001861NCATS NIH HHS UL1 TR001860NIMH NIH HHS F32 MH120975NIMH NIH HHS F32MH120975NIMH NIH HHS R01 MH091068NIMH NIH HHS R03 MH116519NIMH NIH HHS R03-MH116519NIMH NIH HHS R37 MH101495NIMH NIH HHS R37-MH101495
6 · The paper itself

Abstract

backgroundAdolescence is a period of high risk for the onset of depression, characterized by variability in symptoms, severity, and course. During adolescence, the neurocircuitry implicated in depression continues to mature, suggesting that it is an important period for intervention. Reflecting the recent emergence of 'precision mental health' - a person-centered approach to identifying, preventing, and treating psychopathology - researchers have begun to document associations between heterogeneity in features of depression and individual differences in brain circuitry, most frequently in resting-state functional connectivity (RSFC).

methodsIn this review, we present emerging work examining pre- and post-treatment measures of network connectivity in depressed adolescents; these studies reveal potential intervention-specific neural markers of treatment efficacy. We also review findings from studies examining associations between network connectivity and both types of depressive symptoms and response to treatment in adults, and indicate how this work can be extended to depressed adolescents. Finally, we offer recommendations for research that we believe will advance the science of precision mental health of adolescence.

resultsNascent studies suggest that linking RSFC-based pathophysiological variation with effects of different types of treatment and changes in mood following specific interventions will strengthen predictions of prognosis and treatment response. Studies with larger sample sizes and direct comparisons of treatments are required to determine whether RSFC patterns are reliable neuromarkers of treatment response for depressed adolescents. Although we are not yet at the point of using RSFC to guide clinical decision-making, findings from research examining the stability and reliability of RSFC point to a favorable future for network-based clinical phenotyping.

conclusionsDelineating the correspondence between specific clinical characteristics of depression (e.g., symptoms, severity, and treatment response) and patterns of network-based connectivity will facilitate the development of more tailored and effective approaches to the assessment, prevention, and treatment of depression in adolescents.

Indexed as

Mental HealthPrecision MedicineAdolescentBrainDepressionHumansNeural PathwaysReproducibility of Resultsadolescencebrain networksconnectivityDepressionheterogeneityprecision mental health

Identifiers

PMID32458453
PMCPMC7688558

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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.