Evidence map›Paper›PMID 39814264›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Neurophysiological Markers of Regulation Success in Everyday Life in Depression.

Jonathan P Stange, Ellie P Xu, Sarah L Zapetis, Jiani Li, Lisanne Jenkins, Jagan Jimmy, Zihua Ye, Pia Sellery, Coralie S Phanord, Erika Forbes and 3 more

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2026. 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. Article
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

13 authors.

Jonathan P StangeDepartment of Psychology, University of Southern California, Los Angeles, California; Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California. Electronic address: jstange@usc.edu.
Ellie P XuDepartment of Psychology, University of Southern California, Los Angeles, California.
Sarah L ZapetisDepartment of Psychology, University of Southern California, Los Angeles, California.
Jiani LiDepartment of Psychology, University of Southern California, Los Angeles, California.
Lisanne JenkinsDepartment of Psychiatry, Monash University, Melbourne, Victoria, Australia.
Jagan JimmyDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio.
Zihua YeDepartment of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois.
Pia SelleryDepartment of Psychology, University of Colorado at Boulder, Boulder, Colorado.
Coralie S PhanordDepartment of Psychology, University of Colorado at Boulder, Boulder, Colorado.
Erika ForbesDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Timothy J TrullDepartment of Psychology, University of Missouri, Columbia, Missouri.
Robin J MermelsteinDepartment of Psychology, University of Illinois at Chicago, Chicago, Illinois.
Olusola AjiloreDepartment of Psychiatry, University of Illinois at Chicago, Chicago, Illinois.

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Strengthening Stakeholder Engagement in Human Research Protections.UL1TR002003 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KARNIK, NIRANJAN SUBHASH, MERMELSTEIN, ROBIN J. · 2016 to 2024
$33.7M
Ambulatory phenotyping with real-time indices of discordant affect regulation: Exploring opportunities for targeted intervention in depressionR01MH133842 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jonathan P Stange · 2023 to 2026
$3.0M
From Networks to the Real World: Integrating Neural and Autonomic Processes of LossK23MH112769 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STANGE, JONATHAN P · 2017 to 2021
$931k
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NCATS NIH HHS UL1 TR002003NIMH NIH HHS K23 MH112769NIMH NIH HHS R01 MH133842
6 · The paper itself

Abstract

backgroundSelf-regulation is often disrupted in depression and is characterized by negative affect and inflexible parasympathetic responses. However, our understanding of brain mechanisms of self-regulatory processes has largely been limited to laboratory contexts. Measuring individual differences in self-regulatory processes in everyday life-and their neural correlates-could inform our understanding of depression phenotypes and reveal novel intervention targets that impact everyday functioning.

methodsIn individuals with remitted major depressive disorder and healthy comparison participants (N = 74), we measured 2 dimensions of regulation success in everyday life-perceived success with regulating affect and physiological success (parasympathetic augmentation following regulation attempts)-and their neural correlates using a functional magnetic resonance imaging emotion regulation task.

resultsPerceptions of success were weakly associated with physiological success and had partially distinct neural correlates. Perceived success and physiological success in everyday life predicted reduced activity in brain regions involved in emotional salience while reacting to aversive stimuli in the scanner. During reappraisal in the scanner, greater perceived success in everyday life was dimensionally associated with more reappraisal-related activity in regions involved in cognitive control (including the dorsolateral and dorsomedial prefrontal cortices); in contrast, physiological success predicted enhanced downregulation of salience network activity (amygdala, insula).

conclusionsResults suggest that linking psychophysiology with behavior in everyday life can provide a window into dissociable dimensions of self-regulatory functioning. Integrating ambulatory and brain-based metrics may elucidate self-regulatory phenotypes with distinct neurophysiological mechanisms and targets for intervention to impact functioning in daily life.

Indexed as

BrainEmotional RegulationMajor Depressive DisorderSelf-ControlAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAmbulatory assessmentDepressionDigital phenotypingEmotion regulationfMRIHeart rate variability

Identifiers

PMID39814264
PMCPMC12255824

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Registered trials

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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.