Evidence map›Paper›PMID 31570286›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2020

Ultra-High-Resolution Imaging of Amygdala Subnuclei Structural Connectivity in Major Depressive Disorder.

Stephanie S G Brown, John W Rutland, Gaurav Verma, Rebecca E Feldman, Molly Schneider, Bradley N Delman, James M Murrough, Priti Balchandani

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Morphological similarity of amygdala-ventral prefrontal pathways represents trait anxiety in younger and older adults.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  12. UltraHigh Field MR Imaging in Epilepsy.Magnetic resonance imaging clinics of North America · 2021
    Review
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  14. Article
  15. Subregional Amygdala Functional Connectivity at 3T: Comparison of High-Resolution 2D and 3D fMRI Acquisitions.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

8 authors at 1 institution in 1 country.

Stephanie S G BrownTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: stephaniesiangabriella.brown@mssm.edu.
John W RutlandTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Gaurav VermaTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Rebecca E FeldmanTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Molly SchneiderDepression and Anxiety Disorders Centre for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
Bradley N DelmanDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.
James M MurroughDepression and Anxiety Disorders Centre for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.
Priti BalchandaniTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Icahn School of Medicine at Mount Sinai · US

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

backgroundMajor depressive disorder (MDD) is an increasingly common and disabling illness. As the amygdala has been reported to have pathological involvement in mood disorders, we aimed to investigate for the first time potential changes to structural connectivity of individual amygdala subnuclei in MDD using ultra-high-field 7T diffusion magnetic resonance imaging.

methodsTwenty-four patients with MDD (11 women) and 24 age-matched healthy control participants (7 women) underwent diffusion-weighted imaging with a 1.05-mm isotropic resolution at 7T. Amygdala nuclei regions of interest were obtained through automated segmentation of 0.69-mm resolution T1-weighted images and 0.35-mm resolution T2-weighted images. Probabilistic tractography was performed on all subjects, with random seeding at each amygdala nucleus.

resultsThe right lateral, basal, central, and centrocortical amygdala nuclei exhibited significantly increased connection density to the rest of the brain, whereas the left medial nucleus demonstrated significantly lower connection density (false discovery rate p < .05). Increased connection density in the right lateral and basal nuclei was driven by the stria terminalis, and the significant difference in the right central nucleus was driven by the uncinate fasciculus. Decreased connection density at the left medial nucleus did not appear to be driven by any individual white matter tract.

conclusionsBy exploiting ultra-high-resolution magnetic resonance imaging, structural hyperconnectivity was demonstrated involving the amygdaloid nuclei in the right hemisphere in MDD. To a lesser extent, impairment of subnuclei connectivity was shown in the left hemisphere.

Indexed as

Major Depressive DisorderWhite MatterAdultAmygdalaDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung Adult7TAmygdalaDiffusion MRIMajor depressive disorderNeuroimagingTractographyUltra-high-field

Identifiers

PMID31570286
PMCPMC7010542
OpenAlexW2968020006

What OpenQuestion holds

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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.