Evidence map›Paper›PMID 31308432›Full record

ArticleScientific reports2019

Structural MRI at 7T reveals amygdala nuclei and hippocampal subfield volumetric association with Major Depressive Disorder symptom severity.

S S G Brown, J W Rutland, G Verma, R E Feldman, J Alper, M Schneider, B N Delman, J M Murrough, P Balchandani

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
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  5. Novel insights into asthma pathophysiology and pharmacological interventions: spiral of respiratory symptoms and psychiatric episodes.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
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  13. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    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

9 authors.

S S G BrownTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States. stephaniesiangabriella.brown@mssm.edu.ORCID http://orcid.org/0000-0002-8747-7770
J W RutlandTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
G VermaTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
R E FeldmanTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
J AlperTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
M SchneiderMood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
B N DelmanDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
J M MurroughMood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States.
P BalchandaniTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States.

Funding

7T MRI to reveal structural, connectomic and metabolic imaging markers for the neurobiology of depressionR01MH109544 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2016 to 2020
$2.1M
7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base TumorsR01CA202911 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2016 to 2020
$2.1M
NCI NIH HHS R01 CA202911NIMH NIH HHS R01 MH109544
6 · The paper itself

Abstract

Subcortical volumetric changes in major depressive disorder (MDD) have been purported to underlie depressive symptomology, however, the evidence to date remains inconsistent. Here, we investigated limbic volumes in MDD, utilizing high-resolution structural images to allow segmentation of the hippocampus and amygdala into their constituent substructures. Twenty-four MDD patients and twenty matched controls underwent structural MRI at 7T field strength. All participants completed the Montgomery-Asberg Depression Rating Scale (MADRS) to quantify depressive symptomology. For the MDD group, volumes of the amygdala right lateral nucleus (p = 0.05, r

Indexed as

AdultAmygdalaFemaleHippocampusHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedOrgan Size

Identifiers

PMID31308432
PMCPMC6629636

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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.