Evidence map›Paper›PMID 42238442›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Negative Contextual Valence Unmasks Altered Counterfactual Decision-Making in Major Depressive Disorder.

Avijit Chowdhury, Philipp Neukam, Ofer Perl, Matthew Heflin, Jacob Yael, Laurel S Morris, Xiaosi Gu, James W Murrough

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Avijit ChowdhuryThe Dennis S. Charney, MD, Depression and Anxiety Discovery Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.ORCID 0000-0001-5424-6661
Philipp NeukamThe Dennis S. Charney, MD, Depression and Anxiety Discovery Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Ofer PerlCenter for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Matthew HeflinDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States.
Jacob YaelThe Dennis S. Charney, MD, Depression and Anxiety Discovery Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Laurel S MorrisThe Dennis S. Charney, MD, Depression and Anxiety Discovery Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Xiaosi GuDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States.
James W MurroughThe Dennis S. Charney, MD, Depression and Anxiety Discovery Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Developing Neuronal KCNQ Channel Modulators for Mood DisordersR33MH111932 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MURROUGH, JAMES WARREN · 2021 to 2023
$2.4M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NCATS NIH HHS UL1 TR004419NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS R33 MH111932
6 · The paper itself

Abstract

Background: While counterfactual thinking ('what could have been') guides adaptive decision-making, it remains unclear how this process is altered by the negative biases and motivational deficits characteristic of Major Depressive Disorder (MDD). Methods: We used a sequential economic decision-making task designed to emulate a volatile stock market to assess choice behavior in adults with or without MDD (Total N=178); a subset of these participants completed the task during functional MRI (N=53). The task allowed participants to make either positive ('invesť) or negative ('shorť) bets, under either positive or negative contextual valence-defined by whether the immediately preceding stock price change was positive or negative. Fictive errors were defined as the difference between realized and best-possible outcomes. Results: Across the full cohort, group differences in behavioral adjustments to fictive error signals emerged exclusively under negative contextual valence, when stock prices decreased. Compared with controls, participants with MDD showed heightened sensitivity to invest-and-loss fictive errors, reflected in a greater reduction in subsequent bets (interaction β = -0.63, p < .001), but blunted adjustment to short-and-gain fictive errors (β = -0.86, p < .001). In the imaging cohort, blunted short-and-gain adjustment was accompanied by heightened anterior cingulate (ACC) activity and attenuated ventromedial prefrontal (vmPFC)-to-ACC coupling in MDD. vmPFC activity following negative market returns also tracked depression symptom severity. Conclusions: Depression selectively disrupts the use of counterfactual outcomes to guide adaptive choice under negative contextual valence, implicating altered frontocingulate function in maladaptive decision-making.

Indexed as

AnhedoniaDepressionFictive errorMajor-Biological SciencesMinor-Psychological and Cognitive SciencesNeuroimagingRegret

Identifiers

PMID42238442
PMCPMC13228759

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.