Evidence map›Paper›PMID 36816419›Full record

ArticleFrontiers in psychiatry2023

Stress-related reduction of hippocampal subfield volumes in major depressive disorder: A 7-Tesla study.

Judy Alper, Rui Feng, Gaurav Verma, Sarah Rutter, Kuang-Han Huang, Long Xie, Paul Yushkevich, Yael Jacob, Stephanie Brown, Marin Kautz and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  6. Article
  7. Article
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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

17 authors at 2 institutions in 1 country.

Judy AlperDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Rui FengDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Gaurav VermaDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Sarah RutterDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Kuang-Han HuangDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Long XieDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Paul YushkevichDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Yael JacobDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Stephanie BrownDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Marin KautzDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Molly SchneiderDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Hung-Mo LinPopulation Health Science and Policy Department, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Lazar FleysherDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Bradley N DelmanDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Patrick R HofNash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
James W MurroughDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Priti BalchandaniDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Icahn School of Medicine at Mount Sinai · USUniversity of Pennsylvania · US

Funding

Transdiagnostic Multimodal 7 Tesla MRI of the Locus Coeruleus in Human Pathological AnxietyR01MH116953 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI, MURROUGH, JAMES WARREN · 2019 to 2023
$3.0M
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
NIMH NIH HHS R01 MH109544NIMH NIH HHS R01 MH116953
6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) is a prevalent health problem with complex pathophysiology that is not clearly understood. Prior work has implicated the hippocampus in MDD, but how hippocampal subfields influence or are affected by MDD requires further characterization with high-resolution data. This will help ascertain the accuracy and reproducibility of previous subfield findings in depression as well as correlate subfield volumes with MDD symptom scores. The objective of this study was to assess volumetric differences in hippocampal subfields between MDD patients globally and healthy controls (HC) as well as between a subset of treatment-resistant depression (TRD) patients and HC using automatic segmentation of hippocampal subfields (ASHS) software and ultra-high field MRI. Methods: Thirty-five MDD patients and 28 HC underwent imaging using 7-Tesla MRI. ASHS software was applied to the imaging data to perform automated hippocampal segmentation and provide volumetrics for analysis. An exploratory analysis was also performed on associations between symptom scores for diagnostic testing and hippocampal subfield volumes. Results: Compared to HC, MDD and TRD patients showed reduced right-hemisphere CA2/3 subfield volume ( Conclusion: Determining biomarkers for MDD and TRD pathophysiology through segmentation on high-resolution MRI data and understanding the effects of stress on these regions can enable better assessment of biological response to treatment selection and may elucidate the underlying mechanisms of depression.

Indexed as

depressionhippocampusmagnetic resonance imagingstresssubfieldsultrahigh field MRI

Identifiers

PMID36816419
PMCPMC9932898
OpenAlexW4318997296

What OpenQuestion holds

Textmetadata
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.