Evidence map›Paper›PMID 36481935›Full record

ArticleMolecular psychiatry2023

Altered patterns of central executive, default mode and salience network activity and connectivity are associated with current and future depression risk in two independent young adult samples.

Michele A Bertocci, Yvette Afriyie-Agyemang, Renata Rozovsky, Satish Iyengar, Richelle Stiffler, Haris A Aslam, Genna Bebko, Mary L Phillips

Open access · greenAbstract read
In one paragraph

Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  12. Ephaptic coupling and power fluctuations in depression.bioRxiv : the preprint server for biology · 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

8 authors at 1 institution in 1 country.

Michele A Bertocci *Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. bertoccima@upmc.edu.ORCID 0000-0002-3857-1226
Yvette Afriyie-Agyemang *Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Renata RozovskyDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Satish IyengarDepartment of Statistics, University of Pittsburgh School of Arts and Sciences, Pittsburgh, PA, USA.
Richelle StifflerDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Haris A AslamDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Genna BebkoDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mary L PhillipsDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0003-4958-1291
University of Pittsburgh · US

Funding

Reward, impulsive sensation seeking and emotional dysregulation: neural mechanisms underlying risk for bipolar disorder in young adultsR37MH100041 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mary Louise Phillips · 2019 to 2026
$5.8M
NIMH NIH HHS R37 MH100041
6 · The paper itself

Abstract

Neural markers of pathophysiological processes underlying the dimension of subsyndromal-syndromal-level depression severity can provide objective, biologically informed targets for novel interventions to help prevent the onset of depressive and other affective disorders in individuals with subsyndromal symptoms, and prevent worsening symptom severity in those with these disorders. Greater functional connectivity (FC) among the central executive network (CEN), supporting emotional regulation (ER) subcomponent processes such as working memory (WM), the default mode network (DMN), supporting self-related information processing, and the salience network (SN), is thought to interfere with cognitive functioning and predispose to depressive disorders. We examined in young adults (1) relationships among activity and FC in these networks and current depression severity, using a paradigm designed to examine WM and ER capacity in n = 90, age = 21.7 (2.0); (2) the extent to which these relationships were specific to depression versus mania/hypomania; (3) whether findings in a first, "discovery" sample could be replicated in a second, independent, "test" sample of young adults n = 96, age = 21.6 (2.1); and (4) whether such relationships also predicted depression at up to 12 months post scan and/or mania/hypomania severity in (n = 61, including participants from both samples, age = 21.6 (2.1)). We also examined the extent to which there were common depression- and anxiety-related findings, given that depression and anxiety are highly comorbid. In the discovery sample, current depression severity was robustly predicted by greater activity and greater positive functional connectivity among the CEN, DMN, and SN during working memory and emotional regulation tasks (all ps < 0.05 qFDR). These findings were specific to depression, replicated in the independent sample, and predicted future depression severity. Similar neural marker-anxiety relationships were shown, with robust DMN-SN FC relationships. These data help provide objective, neural marker targets to better guide and monitor early interventions in young adults at risk for, or those with established, depressive and other affective disorders.

Indexed as

DepressionManiaAdultBrainBrain MappingCognitionHumansMagnetic Resonance ImagingNeural PathwaysYoung Adult

Identifiers

PMID36481935
PMCPMC10530634
OpenAlexW4310938248

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.