Evidence map›Paper›PMID 29507282›Full record

Trial reportTranslational psychiatry2018

Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers.

Andrea N Goldstein-Piekarski, Brooke R Staveland, Tali M Ball, Jerome Yesavage, Mayuresh S Korgaonkar, Leanne M Williams

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 5 pooled it
–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

66 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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6 more citing papers are in PubMed but not listed here.

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

6 authors.

Andrea N Goldstein-PiekarskiDepartment of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA.
Brooke R StavelandDepartment of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA.
Tali M BallDepartment of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA.
Jerome YesavageDepartment of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA.
Mayuresh S KorgaonkarBrain Dynamics Center, The Westmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia.
Leanne M WilliamsDepartment of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA, 94305, USA. leawilliams@stanford.edu.ORCID http://orcid.org/0000-0001-9987-7360

Funding

A BIOBEHAVIORAL RESEARCH TRAINING PROGRAMT32MH019938 · NIMH · STANFORD UNIVERSITY · PI Corey J Keller, RACHEL MANBER · 1994 to 2026
$9.4M
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 MH019938
6 · The paper itself

Abstract

Default mode network (DMN) dysfunction (particularly within the anterior cingulate cortex (ACC) and medial prefrontal cortex (mPFC)) has been implicated in major depressive disorder (MDD); however, its contribution to treatment outcome has not been clearly established. Here we tested the role of DMN functional connectivity as a general and differential biomarker for predicting treatment outcomes in a large, unmedicated adult sample with MDD. Seventy-five MDD outpatients completed fMRI scans before and 8 weeks after randomization to escitalopram, sertraline, or venlafaxine-XR. A whole-brain voxel-wise t-test identified profiles of pretreatment intrinsic functional connectivity that distinguished patients who were subsequently classified as remitters or non-remitters at follow-up. Connectivity was seeded in the PCC, an important node of the DMN. We further characterized differences between remitters, non-remitters, and 31 healthy controls and characterized changes pretreatment to posttreatment. Remitters were distinguished from non-remitters by relatively intact connectivity between the PCC and ACC/mPFC, not distinguishable from healthy controls, while non-remitters showed relative hypo-connectivity. In validation analyses, we demonstrate that PCC-ACC/mPFC connectivity predicts remission status with >80% cross-validated accuracy. In analyses testing whether intrinsic connectivity differentially relates to outcomes for a specific type of antidepressant, interaction models did not survive the corrected threshold. Our findings demonstrate that the overall capacity to remit on commonly used antidepressants may depend on intact organization of intrinsic functional connectivity between PCC and ACC/mPFC prior to treatment. The findings highlight the potential utility of functional scans for advancing a more precise approach to tailoring antidepressant treatment choices.

Indexed as

Outcome Assessment, Health CareAdultAntidepressive Agents, Second-GenerationConnectomeFemaleGyrus CinguliHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNerve NetPrefrontal CortexPrognosisRemission InductionAntidepressive Agents, Second-Generation

Identifiers

PMID29507282
PMCPMC5838245

What OpenQuestion holds

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LicenceCC BY
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.