Evidence map›Paper›PMID 34959051›Full record

ArticleNeuroImage. Clinical2022

Age-dependent brain morphometry in Major Depressive disorder.

Alison Myoraku, Adam Lang, Charles T Taylor, R Scott Mackin, Dieter J Meyerhoff, Susanne Mueller, Irina A Strigo, Duygu Tosun

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Alison MyorakuNorthern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States. Electronic address: alison.myoraku@ucsf.edu.
Adam LangNorthern California Institute for Research and Education, San Francisco, CA 94121, United States.
Charles T TaylorDepartment of Psychiatry, University of California, San Diego School of Medicine, San Diego, CA 92093, United States.
R Scott MackinNorthern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, United States.
Dieter J MeyerhoffNorthern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States.
Susanne MuellerNorthern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States.
Irina A StrigoDepartment of Psychiatry, University of California San Francisco, San Francisco, CA 94143, United States; Emotion and Pain Laboratory, San Francisco Veterans Affairs Health Care Center, San Francisco, CA 94121, United States.
Duygu TosunNorthern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States.
Northern California Institute for Research and Education · USSan Francisco VA Medical Center · USStanford University · USUniversity of California, San Diego · USUniversity of California, San Francisco · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Cell Aging in Major DepressionR01MH083784 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EPEL, ELISSA S., MELLON, SYNTHIA H · 2010 to 2020
$6.7M
Multimodal MRI Characteristics of Psychotherapy Response in Late Life DepressionR01MH101472 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MACKIN, ROBERT SCOTT, TOSUN-TURGUT, DUYGU · 2015 to 2019
$3.3M
Novel Behavioral Intervention to Target Social Reward Sensitivity and AttachmentR61MH113769 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TAYLOR, CHARLES · 2017 to 2018
$1.5M
Cognitive and Neuroimaging Predictors of Disability in Late Life DepressionK08MH081065 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MACKIN, ROBERT SCOTT · 2008 to 2012
$877k
NCATS NIH HHS UL1 TR001442NIMH NIH HHS K08 MH081065NIMH NIH HHS R01 MH083784NIMH NIH HHS R01 MH101472NIMH NIH HHS R61 MH113769
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is a complex disorder that affects nearly 264 million people worldwide. Structural brain abnormalities in multiple neuroanatomical networks have been implicated in the etiology of MDD, but the degree to which MDD affects brain structure during early to late adulthood is unclear.

methodsWe examined morphometry of brain regions commonly implicated in MDD, including the amygdala, hippocampus, anterior cingulate gyrus, lateral orbitofrontal gyrus, subgenual cortex, and insular cortex subregions, from early to late adulthood. Harmonized measures for gray matter (GM) volume and cortical thickness of each region were estimated cross-sectionally for 305 healthy controls (CTLs) and 247 individuals with MDD (MDDs), collated from four research cohorts. We modeled the nonlinear associations of age with GM volume and cortical thickness using generalized additive modeling and tested for age-dependent group differences.

resultsOverall, all investigated regions exhibited smaller GM volume and thinner cortical measures with increasing age. Compared to age matched CTLs, MDDs had thicker cortices and greater GM volume from early adulthood until early middle age (average 35 years), but thinner cortices and smaller GM volume during and after middle age in the lateral orbital gyrus and all insular subregions. Deviations of the MDD and CTL models for both GM volume and cortical thickness in these regions started as early as age 18.

conclusionsThe analyses revealed that brain morphometry differences between MDDs and CTLs are dependent on age and brain region. The significant age-by-group interactions in the lateral orbital frontal gyrus and insular subregions make these regions potential targets for future longitudinal studies of MDD.

Indexed as

Major Depressive DisorderAdolescentAdultBrainGray MatterGyrus CinguliHumansMagnetic Resonance ImagingMiddle AgedAgingCortical thicknessGray matter volumeInsulaMDDMRI

Identifiers

PMID34959051
PMCPMC8718744
OpenAlexW4200591369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.