Evidence map›Paper›PMID 31512744›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2020

Intrinsic neural circuitry of depression in adolescent females.

Jingwen Jin, Jared X Van Snellenberg, Greg Perlman, Christine DeLorenzo, Daniel N Klein, Roman Kotov, Aprajita Mohanty

Open access · greenAbstract read
In one paragraph

Article 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Altered reward-related resting-state network properties in adolescent cannabis use and depression.Progress in neuro-psychopharmacology & biological psychiatry · 2026
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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

7 authors at 1 institution in 2 countries.

Jingwen JinDepartment of Psychology, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0001-9227-6837
Jared X Van SnellenbergDepartment of Psychology, Stony Brook University, Stony Brook, NY, USA.
Greg PerlmanDepartment of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
Christine DeLorenzoDepartment of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
Daniel N KleinDepartment of Psychology, Stony Brook University, Stony Brook, NY, USA.
Roman Kotov *Department of Psychology, Stony Brook University, Stony Brook, NY, USA.
Aprajita Mohanty *Department of Psychology, Stony Brook University, Stony Brook, NY, USA.
Stony Brook University · US

Funding

Personality Development and Vulnerability to First-Episode DepressionR01MH093479 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOTOV, ROMAN I · 2012 to 2016
$3.3M
Gene Expression and Vulnerability to DepressionR56MH117116 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI KLEIN, DANIEL N, KOTOV, ROMAN I · 2018 to 2019
$1.5M
Translational Neuroscience of Functional Connectivity in SchizophreniaK01MH107763 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI VAN SNELLENBERG, JARED XAVIER · 2015 to 2019
$961k
NIMH NIH HHS K01 MH107763NIMH NIH HHS R01 MH093479NIMH NIH HHS R56 MH117116
6 · The paper itself

Abstract

backgroundAdolescence is characterized by affective and cognitive changes that increase vulnerability to depression, especially in females. Neurodevelopmental models attribute adolescent depression to abnormal responses in amygdala, striatum, and prefrontal cortex (PFC). We examined whether the strength of functional brain networks involving these regions predicts depression symptoms in adolescent females.

methodsIn this longitudinal study, we recorded resting-state functional connectivity (RSFC) in 174 adolescent females. Using a cross-validation strategy, we related RSFC profiles that included (a) a network consisting of amygdala, striatum, and PFC (within-circuit model), (b) connectivity of this network to the whole brain (extended-circuit model), and (c) a network consisting of the entire brain (whole-brain model) to depression symptoms assessed concurrently and 18 months later.

resultsIn testing subsets, the within-circuit RSFC profiles were associated with depression symptoms concurrently and 18 months later, while the extended-circuit and whole-brain model did not explain any additional variance in depression symptoms. Connectivity related to anterior cingulate and ventromedial prefrontal cortex contributed most to the association.

conclusionsOur results demonstrate that RSFC-based brain networks that include amygdala, striatum, and PFC are stable neural signatures of concurrent and future depression symptoms, representing a significant step toward identifying the neural mechanism of depression in adolescence.

Indexed as

Neural PathwaysAdolescentAmygdalaDepressionFemaleGyrus CinguliHumansLongitudinal StudiesNeostriatumPrefrontal CortexadolescenceDepressionfMRIneural network

Identifiers

PMID31512744
PMCPMC7065934
OpenAlexW2972639925

What OpenQuestion holds

Textmetadata
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.