Cited by 388Treatment of Major DepressionNeural and Behavioral Psychology StudiesFunctional Brain Connectivity Studies

The DOI matches its Crossref record; 46 of the 47 references it cites were found in a registry or an index, and 1 are not checked yet; none of the 55 sources its claims cite is checked for support yet.

Widespread reductions in gray matter volume in depression

Open access

Abstract

Abnormalities in functional limbic-anterior cingulate-prefrontal circuits associated with emotional reactivity, evaluation and regulation have been implicated in the pathophysiology of major depressive disorder (MDD). However, existing knowledge about structural alterations in depression is equivocal and based on cohorts of limited sample size. This study used voxel-based morphometry (VBM) and surface-based cortical thickness to investigate the structure of these circuits in a large and well-characterized patient cohort with MDD. Non-geriatric MDD outpatients (n = 102) and age- and gender-matched healthy control participants (n = 34) provided T1-weighted magnetic resonance imaging data during their baseline visit as part of the International Study to Predict Optimized Treatment for Depression. Whole-brain VBM volumetric and surface-based cortical thickness assessments were performed voxel-wise and compared (at p < 0.05 corrected for multiple comparisons) between the MDD and control groups. MDD participants had reduced gray matter volume in the anterior cingulate cortex, regions of the prefrontal circuits, including dorsolateral and dorsomedial prefrontal cortices, and lateral and medial orbitofrontal cortices, but not in limbic regions. Additional reductions were observed cortically in the posterior temporal and parieto-occipital cortices and, subcortically in the basal ganglia and cerebellum. Focal cortical thinning in the medial orbitofrontal cortex was also observed for the MDD group. These alterations in volume and cortical thickness were not associated with severity of depressive symptoms. The findings demonstrate that widespread gray matter structural abnormalities are present in a well-powered study of patients with depression. The patterns of gray matter loss correspond to the same brain functional network regions that were previously established to be abnormal in MDD, which may support an underlying structural abnormality for these circuits.

Checked 2026-10-09 · 1 reference not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a large non-geriatric cohort from iSPOT-D, major depressive disorder was associated with widespread gray matter volume reductions across prefrontal, cingulate, orbitofrontal, temporal, occipital, basal ganglia, and cerebellar regions, but not limbic regions. These structural differences were not correlated with depressive symptom severity.

Key findings

  • MDD participants (n = 102) had 4.4% less global gray matter volume than healthy controls (n = 34; p < 0.05), with greatest lobar reductions in frontal (5.4%) and temporal (4.8%) lobes; the global difference corresponded to a CVNA of 14 years.
  • Voxel-based morphometry showed reduced gray matter volume in the DLPFC (BA 46 maxima: 24% left, 27% right), ACC (8–11%), medial OFC (8–10%), gyrus rectus (26%), lateral OFC (19%), dorsomedial PFC (11% bilaterally), posterior temporal lobe (10–13%), occipital cortex (8–14%), cerebellum posterior crus I (23%), and left thalamus/putamen/caudate (9%, 7%, 8%).
  • No significant hippocampal or amygdala gray matter volume loss was found; cortical thickness analysis showed only a discrete left medial OFC thinning (16% decrease; p = 0.003) and a very small left lateral OFC thickening (16% increase; 8 vertices; FDR-corrected p < 0.001).
  • No clusters showed significant correlations between depressive severity (HRSD17) and VBM volume or cortical thickness in the MDD group.

Methods

  • Cross-sectional baseline MRI data from the iSPOT-D study at Westmead Hospital: 102 non-geriatric MDD outpatients (aged 18–65, HRSD17 ≥ 16, DSM-IV single/recurrent nonpsychotic MDD) and 34 age- and gender-matched healthy controls.
  • T1-weighted images acquired on a 3.0 T GE Signa HDx scanner using a 3D SPGR sequence (TR = 8.3 ms; TE = 3.2 ms; flip angle = 11°; TI = 500 ms; 180 contiguous 1 mm slices; 256 × 256 matrix; 1 mm isotropic voxels).
  • Whole-brain VBM used VBM8/SPM8 with DARTEL normalization, modulation, and 8 mm smoothing; cortical thickness and subcortical segmentation used FreeSurfer 4.3; independent-sample t-tests compared groups voxel-wise/vertex-wise at p < 0.05 FDR-corrected, with 5 mm sphere ROIs used to calculate percent differences and CVNA from prior normal-aging data in 476 individuals.

Limitations

  • The paper states that cross-sectional data cannot clarify whether gray matter changes precede depression or occur secondary to the depressive state, and that prospective studies are needed.
  • The paper notes that whole-brain cortical thickness analysis may have limited sensitivity, that the significance of the focal increased left lateral OFC thickness is unclear, and that the lack of hippocampal changes may reflect the relatively young, non-geriatric cohort with average depression duration of 11 years.
  • Evident from the text: the control group (n = 34) was much smaller than the MDD group (n = 102), and the study was single-site, which may affect generalizability and power despite age/gender matching.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.nicl.2013.08.016

Cites

46 of 47 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig. 1 Voxel based morphometry volume differences between the MDD and control groups (MDD < controls at p < 0.05 FDR-corrected). The dominant three bilateral clusters are shown in two axial slices (columns 1 & 2), one coronal slice (column 3) and one sagittal slice (column 4) (the location of the axial and coronal slices is marked on the sagittal slice for reference): (top row) cluster 1 — 1a — dorsolateral prefrontal cortex, 1b — lateral orbitofrontal cortex, 1c — precentral gyrus; (middle row) cluster 2 — 2a — gyrus rectus, 1b — anterior cingulate cortex, 1c — posterior cingulate cortex, 1d — precuneus; and (bottom row) cluster 3 — 3a — fusiform gyrus, 3b — inferior temporal gyrus, 3c — middle temporal gyrus and 3d — superior temporal gyrus. Abbreviations: FDR, False Discovery Rate; MDD, Major Depressive Disorder.
Fig. 1 Voxel based morphometry volume differences between the MDD and control groups (MDD < controls at p < 0.05 FDR-corrected). The dominant three bilateral clusters are shown in two axial slices (columns 1 & 2), one coronal slice (column 3) and one sagittal slice (column 4) (the location of the axial and coronal slices is marked on the sagittal slice for reference): (top row) cluster 1 — 1a — dorsolateral prefrontal cortex, 1b — lateral orbitofrontal cortex, 1c — precentral gyrus; (middle row) cluster 2 — 2a — gyrus rectus, 1b — anterior cingulate cortex, 1c — posterior cingulate cortex, 1d — precuneus; and (bottom row) cluster 3 — 3a — fusiform gyrus, 3b — inferior temporal gyrus, 3c — middle temporal gyrus and 3d — superior temporal gyrus. Abbreviations: FDR, False Discovery Rate; MDD, Major Depressive Disorder.CC BY-NC-ND · PubMed Central

Verification

Claims the paper makes

34 Own result · 28 Not checked yet · 14 Sources not found · 11 Own method · 11 Own interpretation · 4 No basis given

Verify all 40 references — free account

Show all 43 claims

  • It may state two separate claims as one. 40
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 28
59 of 59
  • The paper relies on this without support.

    The iSPOT-D MDD outpatient sample is representative of non-geriatric MDD patients generally.

    “Non-geriatric MDD outpatients (n = 102) and age- and gender-matched healthy control participants (n = 34) provided T1-weighted magnetic resonance imaging data during their baseline visit as part of the International Study to Predict Optimized Treatment for Depression.”
  • The paper relies on this without support.

    The cross-sectional gray matter differences between MDD and control participants reflect depression-related structural abnormalities rather than pre-existing or other confounding factors.

    “MDD participants had reduced gray matter volume in the anterior cingulate cortex, regions of the prefrontal circuits, including dorsolateral and dorsomedial prefrontal cortices, and lateral and medial orbitofrontal cortices, but not in limbic regions.”
  • The paper relies on this without support.

    Age and gender matching is sufficient to remove confounding by age and gender.

    “Since our cohort was age and gender matched we did not co-vary for these parameters.”
  • The paper relies on this without support.

    Normal aging gray matter volume loss rates (CVNA) are valid for converting observed MDD gray matter loss into equivalent years of normal aging.

    “would be expected from nearly 14 years of normal aging”
    “greater than 50 years CVNA”
  • The paper relies on this without support.

    There is a scarcity of prior data that specifically examines gray matter volume changes in the DLPFC with MDD.

    “There is a scarcity of prior data that specifically examines GM volume changes in the DLPFC with MDD.”
5 of 5

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Cited by

Sorted by citations

See all 388

Metadata

Authors
Grieve, S. M., Korgaonkar, M. S., Koslow, S. H., Gordon, E., & Williams, L. M.
Affiliations
  • The University of Sydney (AU)
  • University of Miami (US)
Corresponding author
Grieve, Stuart M.
Venue
NeuroImage: Clinical
Publisher
Elsevier BV
Published
2013
Volume
3
Pages
332-339
ISSN
2213-1582 (ISSN-L)
OpenAlex
W2085105520
Cited by
388
References
45
Citations by year
2026: 22 · 2025: 25 · 2024: 36 · 2023: 27 · 2022: 35 · 2021: 36 · 2020: 28 · 2019: 29 · 2018: 31 · 2017: 29 · 2016: 32 · 2015: 38 · 2014: 19 · 2013: 1
FWCI
22.07
Type
journal article
Language
en
Open access
Locations
  • NeuroImage Clinical (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Brain Resource Company Operations Pty Ltd
  • Sydney Medical School Foundation
Topics
  • Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
major depressive disorder, gray matter volume, cortical thickness, anterior cingulate cortex, prefrontal cortex, orbitofrontal cortex, limbic circuits, structural brain abnormalities, basal ganglia, cerebellum, cortical thinning, voxel-based morphometry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review