Evidence map›Paper›PMID 30798080›Full record

ArticleJournal of psychiatric research2019

Hippocampal subfield-specific connectivity findings in major depressive disorder: A 7 Tesla diffusion MRI study.

John W Rutland, Stephanie Brown, Gaurav Verma, Rebecca E Feldman, Himanshu Sharma, Matthew Markowitz, Molly Schneider, Bradley N Delman, James Murrough, Priti Balchandani

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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  14. Ultrahigh field MR Neuroimaging.Topics in magnetic resonance imaging : TMRI · 2019
    Article
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

10 authors.

John W RutlandTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States. Electronic address: jack.rutland@icahn.mssm.edu.
Stephanie BrownTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Gaurav VermaTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Rebecca E FeldmanTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Himanshu SharmaTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Matthew MarkowitzTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Molly SchneiderMood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Bradley N DelmanDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
James MurroughMood and Anxiety Disorders Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Priti BalchandaniTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 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

objectiveDiffusion magnetic resonance imaging (dMRI) enables non-invasive characterization of white matter (WM) structures in vivo. Prior studies suggest that certain WM tracts may be affected in major depressive disorder (MDD), however, hippocampal subfield-specific dMRI measures have not yet been explored in MDD. We use 7 Tesla dMRI to investigate differences in hippocampal subfield connectivity of MDD patients.

methodsEighteen MDD patients and eighteen matched healthy volunteers underwent 7 Tesla MRI. The hippocampal formations were segmented by subfields and tractography was performed to determine streamline count (SC), fractional anisotropy (FA), and mean diffusivity (MD) in patients and controls. Significant subfield connectivity measures were also correlated with age at depression onset.

resultsCompared with controls, MDD patients exhibited reduced SC in the molecular layer of the left dentate gyrus (p < 0.001). SC count in the left dentate gyrus was shown to positively correlate with age at disease onset (p < 0.05). Increased MD was observed in streamlines emanating from both the left (p = 0.0001) and right (p < 0.001) fimbriae in MDD patients.

conclusionsIncreased MD of tracts in the fimbriae suggests compromised neuronal membranes in the major hippocampal output gate. Reduced SC of the dentate gyri indexes a disruption of normal cellular processes such as neurogenesis. These findings may have significant implications for identifying biomarkers of MDD and elucidating the neurobiological underpinnings of depression.

Indexed as

Diffusion Tensor ImagingAdultAge of OnsetBiomarkersDentate GyrusFemaleFornix, BrainHumansMajor Depressive DisorderMaleMiddle AgedNerve NetBiomarkersBiomarkersDepressionDiffusion-weighted imagingHippocampal subfieldsTractography

Identifiers

PMID30798080
PMCPMC7325444

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Registered trials

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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.