Evidence map›Paper›PMID 41282752›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Fatigue Symptoms Influence Effort-Based Decision-Making in Major Depressive Disorder.

Grace E Steward, Adam J Culbreth, Fernando S Goes, Vikram S Chib

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Grace E StewardDepartment of Biomedical Engineering, Johns Hopkins University, School of Medicine, Baltimore, Maryland.
Adam J CulbrethMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, Baltimore, Maryland.
Fernando S GoesDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University, School of Medicine, Baltimore, Maryland.
Vikram S ChibDepartment of Biomedical Engineering, Johns Hopkins University, School of Medicine, Baltimore, Maryland.

Funding

Behavioral and Neural Representations of Subjective Effort CostR01MH119086 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Vikram S Chib · 2019 to 2026
$3.7M
NIMH NIH HHS R01 MH119086
6 · The paper itself

Abstract

Background: Fatigue is a central symptom of major depressive disorder (MDD). Research in healthy individuals has shown that heightened feelings of fatigue are associated with a reduced willingness to exert effort. However, it remains unclear how fatigue affects effort-based decision-making in individuals with MDD. In this study, we explore how cognitive effort is traded for rewards in MDD and how feelings of fatigue and depressed mood symptoms influence this decision-making process. Methods: Healthy participants (n = 26) and individuals with MDD (n = 18) took part in a forced-choice paradigm, where they decided to perform either a low-effort cognitive effort task for a small reward or a more cognitively effortful task for a larger reward. Participants also completed the Beck Depression Inventory and the Modified Fatigue Impact Scale, which were used in a factor analysis to generate combined scores for depressed mood and fatigue for each participant. These factor scores were then incorporated into hierarchical mixed-effects models of choice data to explain behavioral differences between participants with MDD. Results: Our findings reveal that individuals with MDD exhibited significantly higher preferences for low-effort/low-reward options compared to their healthy counterparts. This difference was linked to increased feelings of fatigue, which raised the perceived cost of cognitive effort. Variations in fatigue questionnaire scores showed stronger associations with effort-based choice behavior than those from questionnaires assessing depressive mood, indicating that fatigue is a key symptom with specific ties to effort in MDD. Conclusions: These findings illuminate how fatigue might lead to decreases in goal-directed behavior in MDD, thereby deepening our understanding of diminished motivation in MDD and suggesting potential pathways for more effective treatment.

Identifiers

PMID41282752
PMCPMC12636678

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