Evidence map›Paper›PMID 41510254›Full record

ArticleResearch square2025

Examining Smartphone-assessed Executive Function Metrics and Intrinsic Resting-State Functional Connectivity in Depression.

Julia M Heckel, Aaron Clouse, David Klemballa, Joanna Hernandez, Jadyn Park, Alex D Leow, Olusola A Ajilore, Jessica A Bernard, Sebastian Walther, Vijay A Mittal and 2 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Julia M HeckelDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.
Aaron ClouseDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.
David KlemballaDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.
Joanna HernandezDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.
Jadyn ParkDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.
Alex D LeowDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.
Olusola A AjiloreDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.ORCID https://orcid.org/0000-0003-0737-0437
Jessica A BernardDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.ORCID https://orcid.org/0000-0001-7697-3675
Sebastian WaltherTranslational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
Vijay A MittalDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-9017-5119
Stewart A ShankmanDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-8097-4483
Allison M LetkiewiczDepartment of Psychiatry and Behavioral Sciences, Stephen M. Stahl Center for Psychiatric Neuroscience, Northwestern University, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-6812-8735

Funding

An examination of psychomotor disturbance in current and remitted MDD: An RDoC StudyR01MH118741 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MITTAL, VIJAY A, SHANKMAN, STEWART AARON · 2019 to 2023
$3.4M
Clarifying the Role of Psychomotor Retardation in Reward-Based Reinforcement Learning Deficits in MDD: A Computational and fMRI StudyK23MH129607 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Allison Letkiewicz · 2023 to 2026
$726k
NIMH NIH HHS K23 MH129607NIMH NIH HHS R01 MH118741
6 · The paper itself

Abstract

Major Depressive Disorder (MDD) is a common and costly mental health condition that is often associated with deficits in executive function. Smartphone applications ("apps") have emerged as promising methods for assessing mental health-related outcomes in individuals' daily lives that can detect changes that unfold over time. Although smartphone apps have been used to evaluate executive functioning in individuals with neurological conditions and in other mental health disorders, few studies have examined this in MDD. The present study tested whether smartphone-assessed executive function is (1) impaired in individuals with current MDD (cMDD; n=30) relative to healthy controls (HC; n=43) and (2) related to resting-state functional connectivity within cognitive control-related neural networks. For two weeks, participants completed a set-shifting (Trail Making Test, TMT-B) task on their smartphone. Participants with cMDD had significantly lower TMT accuracy (β=-.24,

Identifiers

PMID41510254
PMCPMC12776496

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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.