ArticleNeuroImage. Clinical2018
Cognitive control neuroimaging measures differentiate between those with and without future recurrence of depression.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Common and distinct patterns of brain activity alterations during inhibitory control in depression and psychostimulant users: a comparative meta-analysis of task-based fMRI studies.Psychological medicine · 2025Pooled it
- Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis.Molecular psychiatry · 2020Pooled it
- Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies.Developmental cognitive neuroscience · 2019Pooled it
- A Longitudinal Correlational Study of Psychological Resilience, Depression Disorder, and Brain Functional-Structural Hybrid Connectome in Breast Cancer.Depression and anxiety · 2024Trial
- Functional connectivity of salience and affective networks among remitted depressed patients predicts episode recurrence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Trial
- Connectivity of the Cognitive Control Network During Response Inhibition as a Predictive and Response Biomarker in Major Depression: Evidence From a Randomized Clinical Trial.Biological psychiatry · 2020Trial
- Anticipation of monetary reward in amygdala, insula, caudate are predictors of pleasure sensitivity to d-Amphetamine administration.Drug and alcohol dependence · 2020Trial
- Cognition and future depression: associations with risk in those with and without a history of depression.BMJ mental health · 2026Article
- Association of neural responses to acute psychosocial stress with relapse in depression.Brain imaging and behavior · 2026Article
- Application of functional near-infrared spectroscopy in evaluating antidepressant treatment efficacy: a review of recent evidence (2021-2026).Frontiers in psychology · 2026Review
- Neurophysiological Markers of Regulation Success in Everyday Life in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Dissociating the Role of Dorsolateral Prefrontal Cortex and Ventrolateral Prefrontal Cortex in Cognitive Control in Depression: A Combined HD-tDCS and fNIRS Study.Brain topography · 2025Article
- Attenuated cognitive control network connectivity as a mechanism in mother-daughter intergenerational transmission of depression: a preliminary study.Scientific reports · 2025Article
- Network homeostasis: functional brain network alterations and relapse in remitted late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Identifying Features of Resilience to Childhood Maltreatment in Resting-State Connectivity Data From Adults With and Without a History of Mood Disorder.Biological psychiatry global open science · 2025Article
- Integrating dynamic psychophysiological indices across time and contexts: Elucidating mechanisms, risk markers, and intervention targets.Psychophysiology · 2024Review
- Trait- and state-like co-activation pattern dynamics in current and remitted major depressive disorder.Journal of affective disorders · 2023Article
- Reduced connectivity of the cognitive control neural network at rest in young adults who had their first drink of alcohol prior to age 18.Psychiatry research. Neuroimaging · 2023Article
- Editorial: Highlights in psychopathology: Mental health among young adults.Frontiers in psychology · 2023Article
- Using Network Parcels and Resting-State Networks to Estimate Correlates of Mood Disorder and Related Research Domain Criteria Constructs of Reward Responsiveness and Inhibitory Control.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundMajor Depressive Disorder (MDD) is a prevalent, disruptive illness. A majority of those with MDD are at high risk for recurrence and increased risk for morbidity and mortality. This study examined whether multimodal baseline (and retest) Cognitive Control performance and neuroimaging markers (task activation and neural connectivity between key brain nodes) could differentiate between those with and without future recurrence of a major depressive (MD) episode within one year. We hypothesized that performance and neuroimaging measures of Cognitive Control would identify markers that differ between these two groups.
methodsA prospective cohort study of young adults (ages 18-23) with history (h) of early-onset MDD (N = 60), now remitted, and healthy young adults (N = 49). Baseline Cognitive Control measures of performance, task fMRI and resting state connectivity (and reliability retest 4-12 weeks later) were used to compare those with future recurrence of MDD (N = 21) relative to those without future recurrence of MDD (N = 34 with resilience). The measures tested were (1) Parametric Go/No-Go (PGNG) performance, and task activation for (2) PGNG Correct Rejections, (3) PGNG Commission errors, and (4 & 5), resting state connectivity analyses of Cognitive Control Network to and from subgenual anterior cingulate.
resultsRelative to other groups at baseline, the group with MDD Recurrence had less bilateral middle frontal gyrus activation during commission errors. MDD Recurrence exhibited greater connectivity of right middle frontal gyrus to subgenual anterior cingulate (SGAC). SGAC connectivity was also elevated in this group to numerous regions in the Cognitive Control Network. Moderate to strong ICCs were present from test to retest, and highest for rs-fMRI markers. There were modest, significant correlations between task, connectivity and behavioral markers that distinguished between groups.
conclusionMarkers of Cognitive Control function could identify those with early course MD who are at risk for depression recurrence. Those at high risk for recurrence would benefit from maintenance or preventative treatments. Future studies could test and validate these markers as potential predictors, accounting for sample selection and bias in feature detection.
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