Evidence map›Paper›PMID 31895437›Full record

Trial reportJAMA psychiatry2020

Cortical Connectivity Moderators of Antidepressant vs Placebo Treatment Response in Major Depressive Disorder: Secondary Analysis of a Randomized Clinical Trial.

Camarin E Rolle, Gregory A Fonzo, Wei Wu, Russ Toll, Manish K Jha, Crystal Cooper, Cherise Chin-Fatt, Diego A Pizzagalli, Joseph M Trombello, Thilo Deckersbach and 4 more

Registry-linked trialOpen access · bronzeAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01407094 (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care), which is not on this map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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.

NCT01407094 phase2completednot on this map

Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) for Depression

TypeinterventionalSponsorUniversity of Texas Southwestern Medical CenterRan2011 to 2016Enrolled296ConditionsDepressionArmsSertraline, Placebo, BupropionXL
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Antidepressant effect of vagal nerve stimulation in epilepsy patients: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Pooled it
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  3. Towards causal inference-based antidepressant selection with brain and blood biomarkers.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Trial
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  11. Review
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  18. Review
  19. Revisiting the role of computational neuroimaging in the era of integrative neuroscience.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 2 countries.

Camarin E RolleDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Gregory A FonzoDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Wei WuDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Russ TollDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
Manish K JhaDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas.
Crystal CooperDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas.
Cherise Chin-FattDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas.
Diego A PizzagalliDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Joseph M TrombelloDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas.
Thilo DeckersbachDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Maurizio FavaDepartment of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Myrna M WeissmanNew York State Psychiatric Institute, Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York.
Madhukar H TrivediDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas.
Amit EtkinDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.
The University of Texas Southwestern Medical Center · USHarvard University · USAlto Neuroscience (United States) · USColumbia University · USNeurosciences Institute · USPacific Clinical Research · USSouth China University of Technology · CNVA Palo Alto Health Care System · US

Funding

Establishing Moderators/Biosignatures of Antidepressant Response- Clinical CareU01MH092221 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2010 to 2015
$9.7M
Biosignatures of Treatment Remission in Major DepressionU01MH092250 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCGRATH, PATRICK J, PARSEY, RAMIN V. · 2010 to 2015
$8.9M
A “Circuits-First” Platform for Personalized Neurostimulation TreatmentDP1MH116506 · NIMH · STANFORD UNIVERSITY · PI ETKIN, AMIT · 2017 to 2021
$5.2M
NIMH NIH HHS DP1 MH116506NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250
6 · The paper itself

Abstract

Importance: Despite the widespread awareness of functional magnetic resonance imaging findings suggesting a role for cortical connectivity networks in treatment selection for major depressive disorder, its clinical utility remains limited. Recent methodological advances have revealed functional magnetic resonance imaging-like connectivity networks using electroencephalography (EEG), a tool more easily implemented in clinical practice. Objective: To determine whether EEG connectivity could reveal neural moderators of antidepressant treatment. Design, Setting, and Participants: In this nonprespecified secondary analysis, data were analyzed from the Establishing Moderators and Biosignatures of Antidepressant Response in Clinic Care study, a placebo-controlled, double-blinded randomized clinical trial. Recruitment began July 29, 2011, and was completed December 15, 2015. A random sample of 221 outpatients with depression aged 18 to 65 years who were not taking medication for depression was recruited and assessed at 4 clinical sites. Analysis was performed on an intent-to-treat basis. Statistical analysis was performed from November 16, 2018, to May 23, 2019. Interventions: Patients received either the selective serotonin reuptake inhibitor sertraline hydrochloride or placebo for 8 weeks. Main Outcomes and Measures: Electroencephalographic orthogonalized power envelope connectivity analyses were applied to resting-state EEG data. Intent-to-treat prediction linear mixed models were used to determine which pretreatment connectivity patterns were associated with response to sertraline vs placebo. The primary clinical outcome was the total score on the 17-item Hamilton Rating Scale for Depression, administered at each study visit. Results: Of the participants recruited, 9 withdrew after first dose owing to reported adverse effects, and 221 participants (150 women; mean [SD] age, 37.8 [12.7] years) underwent EEG recordings and had high-quality pretreatment EEG data. After correction for multiple comparisons, connectome-wide analyses revealed moderation by connections within and between widespread cortical regions-most prominently parietal-for both the antidepressant and placebo groups. Greater alpha-band and lower gamma-band connectivity predicted better placebo outcomes and worse antidepressant outcomes. Lower connectivity levels in these moderating connections were associated with higher levels of anhedonia. Connectivity features that moderate treatment response differentially by treatment group were distinct from connectivity features that change from baseline to 1 week into treatment. The group mean (SD) score on the 17-item Hamilton Rating Scale for Depression was 18.35 (4.58) at baseline and 26.14 (30.37) across all time points. Conclusions and Relevance: These findings establish the utility of EEG-based network functional connectivity analyses for differentiating between responses to an antidepressant vs placebo. A role emerged for parietal cortical regions in predicting placebo outcome. From a treatment perspective, capitalizing on the therapeutic components leading to placebo response differentially from antidepressant response should provide an alternative direction toward establishing a placebo signature in clinical trials, thereby enhancing the signal detection in randomized clinical trials. Trial Registration: ClinicalTrials.gov identifier: NCT01407094.

Indexed as

ElectroencephalographyAdolescentAdultAgedAlpha RhythmBrainFemaleGamma RhythmHumansLinear ModelsMajor Depressive DisorderMaleMiddle AgedPsychiatric Status Rating ScalesSelective Serotonin Reuptake InhibitorsSertralineSelective Serotonin Reuptake InhibitorsSertraline

Identifiers

PMID31895437
PMCPMC6990859
OpenAlexW2998556284

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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.