Evidence map›Paper›PMID 31601424›Full record

Trial reportBiological psychiatry2020

Connectivity of the Cognitive Control Network During Response Inhibition as a Predictive and Response Biomarker in Major Depression: Evidence From a Randomized Clinical Trial.

Leonardo Tozzi, Andrea N Goldstein-Piekarski, Mayuresh S Korgaonkar, Leanne M Williams

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

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  12. Distinct Biotypes of Visual Perception in Major Depressive Disorder.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  14. Transcription factors Lef1 and Rest stimulate recovery from depressive states.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Leonardo TozziDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Andrea N Goldstein-PiekarskiDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California.
Mayuresh S KorgaonkarBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Sydney, Australia; Discipline of Psychiatry, Western Clinical School, The University of Sydney, Sydney, Australia.
Leanne M WilliamsDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California. Electronic address: leawilliams@stanford.edu.
VA Palo Alto Health Care System · USStanford University · USThe University of Sydney · AU

Funding

A BIOBEHAVIORAL RESEARCH TRAINING PROGRAMT32MH019938 · NIMH · STANFORD UNIVERSITY · PI Corey J Keller, RACHEL MANBER · 1994 to 2026
$9.4M
Mapping connectomes for disordered emotional statesU01MH109985 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2017 to 2020
$3.1M
Neural Dimensions of Threat Reactivity and Regulation for Understanding AnxietyR01MH101496 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2013 to 2016
$2.3M
Neuroimaging and Machine Learning to Redefine Anxiety and DepressionF32MH108299 · NIMH · STANFORD UNIVERSITY · PI GOLDSTEIN-PIEKARSKI, ANDREA · 2016 to 2017
$51k
NIMH NIH HHS F32 MH108299NIMH NIH HHS R01 MH101496NIMH NIH HHS T32 MH019938NIMH NIH HHS U01 MH109985
6 · The paper itself

Abstract

backgroundIn treating major depressive disorder, we lack tests anchored in neurobiology that predict antidepressant efficacy. Cognitive impairments are a particularly disabling feature of major depressive disorder. We tested whether functional connectivity during a response-inhibition task can predict response to antidepressants and whether its changes over time are correlated to symptom changes.

methodsWe analyzed data from outpatients with major depressive disorder (n = 124) randomized to receive escitalopram, sertraline, or venlafaxine (8 weeks) and healthy control subjects (n = 59; age 18-65 years). Before and after treatment, participants were interviewed and scanned using functional magnetic resonance imaging, and functional connectivity was measured using generalized psychophysiological interaction during response inhibition (Go-NoGo task). We investigated the interaction between treatment type and response (≥50% reduction on self-reported symptoms), coupling differences between responders and nonresponders at baseline, their correlation with symptom improvement, and their changes in time.

resultsDuring response inhibition, connectivity between the dorsolateral prefrontal cortex/supramarginal gyrus and supramarginal gyrus/middle temporal gyrus was associated with response to sertraline and venlafaxine, but not escitalopram. Sertraline responders had higher functional connectivity between these regions compared with nonresponders, whereas venlafaxine responders had lower functional connectivity. For sertraline, attenuation of connectivity in the precentral and superior temporal gyri correlated with posttreatment symptom improvement. For venlafaxine, enhancement of connectivity between the orbitofrontal cortex and subcortical regions correlated with symptom improvement.

conclusionsConnectivity of the cognitive control circuit during response inhibition selectively and differentially predicts antidepressant treatment response and correlates with symptom improvement. These quantitative markers tied to the neurobiology of cognitive features of depression could be used translationally to predict and evaluate treatment response.

Indexed as

Major Depressive DisorderBiomarkersCognitionDepressionHumansMagnetic Resonance ImagingSertralineTreatment OutcomeBiomarkersSertralineBiomarkerCognitive controlfMRIGo-NoGoMajor depressive disorderTreatment

Identifiers

PMID31601424
PMCPMC8628639
OpenAlexW2969692821

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.