Evidence map›Paper›PMID 31158720›Full record

ArticleJournal of affective disorders2019

Examining raphe-amygdala structural connectivity as a biological predictor of SSRI response.

Rajapillai L I Pillai, Chuan Huang, Andrew LaBella, Mengru Zhang, Jie Yang, Madhukar Trivedi, Myrna Weissman, Patrick McGrath, Maurizio Fava, Benji Kurian and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

16 authors at 7 institutions in 1 country.

Rajapillai L I PillaiDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, United States.
Chuan HuangDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, United States; Department of Radiology, Stony Brook University, Stony Brook, NY, United States. Electronic address: chuan.huang@stonybrookmedicine.edu.
Andrew LaBellaDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States.
Mengru ZhangDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States.
Jie YangDepartment of Family, Population, & Preventive Medicine, Stony Brook University, Stony Brook, NY, United States.
Madhukar TrivediDepartment of Psychiatry, University of Texas Southwestern Medical Center, United States.
Myrna WeissmanDepartment of Psychiatry, College of Physicians and Surgeons, Columbia University and the New York Psychiatric Institute, United States.
Patrick McGrathDepartment of Psychiatry, College of Physicians and Surgeons, Columbia University and the New York Psychiatric Institute, United States.
Maurizio FavaDepartment of Psychiatry, Harvard Medical School, United States.
Benji KurianDepartment of Psychiatry, University of Texas Southwestern Medical Center, United States.
Crystal CooperDepartment of Psychiatry, University of Texas Southwestern Medical Center, United States.
Melvin McInnisDepartment of Psychiatry, University of Michigan, United States.
Maria A OquendoDepartment of Psychiatry, University of Pennsylvania, United States.
Diego A PizzagalliDepartment of Psychiatry, Harvard Medical School, United States.
Ramin V ParseyDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, United States.
Christine DeLorenzoDepartment of Psychiatry, Stony Brook University, Stony Brook, NY, United States; Department of Psychiatry, Molecular Imaging and Neuropathology Division, Columbia University, New York, NY, United States.
Stony Brook University · USThe University of Texas Southwestern Medical Center · USHarvard University · USNew York Psychoanalytic Society and Institute · USStony Brook Medicine · USUniversity of Michigan · USUniversity of Pennsylvania · 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
In Vivo Neurochemistry and Electrophysiology of Bipolar Disorder and its TreatmentF30MH109412 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI PILLAI, RAJAPILLAI LABAN ISAAC · 2016 to 2019
$167k
NIMH NIH HHS F30 MH109412NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250
6 · The paper itself

Abstract

backgroundOur lab has previously found that structural integrity in tracts from the raphe nucleus (RN) to the amygdala, measured by fractional anisotropy (FA), predicts remission to selective serotonin reuptake inhibitors (SSRIs) in major depressive disorder (MDD). This could potentially serve as a biomarker for remission that can guide clinical decision-making. To enhance repeatability and reproducibility, we replicated our study in a larger, more representative multi-site sample.

methods64 direction DTI was collected in 144 medication-free patients with MDD from the Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) study. We performed probabilistic tractography between the RN and bilateral amygdala and hippocampus and calculated weighted FA in these tracts. Patients were treated with either sertraline or placebo, and their change in Hamilton Depression Rating Scale (HDRS) score reported. Pretreatment weighted FA was compared between remitters and nonremitters, and correlation between FA and percent change in HDRS score was assessed. Exploratory moderator and voxel analyses were also performed.

resultsContrary to our hypotheses, FA was greater in nonremitters than in remitters in RN-left and right amygdala tracts (p = 0.02 and 0.01, respectively). Pretreatment FA between the raphe and left amygdala correlated with greater, not reduced, HDRS (r = 0.18, p = 0.04). This finding was found to be greater in the placebo group. Moderator and voxel analyses yielded no significant findings.

conclusionsWe found greater FA in nonremitters between the RN and amygdala than in remitters, and a correlation between FA and symptom worsening, particularly with placebo. These findings may help reveal more about the nature of MDD, as well as guide research methods involving placebo response.

Indexed as

AdultAmygdalaAnisotropyAntidepressive AgentsFemaleHippocampusHumansMajor Depressive DisorderMaleMiddle AgedRaphe NucleiReproducibility of ResultsSelective Serotonin Reuptake InhibitorsSertralineAntidepressive AgentsSelective Serotonin Reuptake InhibitorsSertralineAmygdalaDiffusion tensor imagingFractional anisotropyRaphe nucleusRemissionSSRI

Identifiers

PMID31158720
PMCPMC6750958
OpenAlexW2947225538

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.