Evidence map›Paper›PMID 39210011›Full record

ArticleMolecular psychiatry2025

Lifetime depression and mania/hypomania risk predicted by neural markers in three independent young adult samples during working memory and emotional regulation.

Yvette Afriyie-Agyemang, Michele A Bertocci, Satish Iyengar, Richelle S Stiffler, Lisa K Bonar, Haris A Aslam, Simona Graur, Genna Bebko, Alexander S Skeba, Tyler J Brady and 4 more

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Article in Molecular psychiatry, 2025. 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

14 authors.

Yvette Afriyie-AgyemangDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. afriyieagyemangy@upmc.edu.ORCID 0000-0001-8386-5787
Michele A BertocciDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0002-3857-1226
Satish IyengarDepartment of Statistics, University of Pittsburgh School of Arts and Sciences, Pittsburgh, PA, USA.
Richelle S StifflerDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Lisa K BonarDepartment 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.
Simona GraurDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Genna BebkoDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Alexander S SkebaDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Tyler J BradyDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Osasumwen BenjaminDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Yiming WangDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Henry W ChaseDepartment 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

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
Reward, pathophysiologic dimensions and psychological distress in young adultsR01MH100041 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PHILLIPS, MARY LOUISE · 2014 to 2018
$3.1M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NIH HHS S10 OD028483NIMH NIH HHS R01 MH100041NIMH NIH HHS R37 MH100041
6 · The paper itself

Abstract

Objective markers of pathophysiological processes underlying lifetime depression and mania/hypomania risk can provide biologically informed targets for novel interventions to help prevent the onset of affective disorders in individuals with subsyndromal symptoms. Greater activity within and functional connectivity (FC) between 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. Using an emotional n-back paradigm designed to examine WM and ER capacity, we examined in young adults: (1) relationships among activity and FC in these networks and lifetime depression and mania/hypomania risk; (2) the extent to which these relationships were specific to lifetime depression risk versus lifetime mania/hypomania risk; (3) whether findings in a first, Discovery sample n = 101, 63 female, age = 23.85 (2.9) could be replicated in a two independent Test samples of young adults: Test sample 1: n = 90, 60 female, age = 21.7 (2.0); Test sample 2: n = 96, 65 female, age = 21.6 (2.1). The Mood Spectrum Self-Report (MOODS-SR-L) assessed lifetime mania/hypomania risk and depression risk. We showed significant clusters of activity to each contrast in similar locations in the anatomic mask in each Test sample as in the Discovery sample, and, using extracted mean BOLD signal from these clusters as IVs, we showed similar patterns of IV-DV relationships in each Test sample as in the Discovery sample. Specifically, in the Discovery sample, greater DMN activity during WM was associated with greater lifetime depression risk. This finding was specific to depression and replicated in both independent samples (all ps<0.05 qFDR). Greater CEN activity during ER was associated with increased lifetime depression risk and lifetime mania/hypomania risk in all three samples (all ps< 0.05 qFDR). These replicated findings provide promising objective, neural markers to better identify, and guide and monitor early interventions for, depression and mania/hypomania risk in young adults.

Indexed as

Bipolar DisorderDepressionEmotional RegulationManiaMemory, Short-TermAdolescentAdultBiomarkersBrainBrain MappingDefault Mode NetworkEmotionsExecutive FunctionFemaleHumansMagnetic Resonance ImagingBiomarkers

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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.