Anatomical brain difference of subthreshold depression in young and middle-aged individuals

Li, Jing; Wang, Zengjian; Hwang, Jiwon; Zhao, Bingcong; Yang, Xinjing; Xin, Sui-Cheng; Wang, Yu; Jiang, Huili; Shi, Peng; Zhang, Ye; Wang, Xu; Lang, Courtney; Park, Joel; Bao, Ting; Kong, Jian

doi:10.1016/j.nicl.2017.02.022

Cited by 35 publications

(26 citation statements)

References 65 publications

(73 reference statements)

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“…A post-mortem study has demonstrated that patients with major depression had more neurons in the thalamic nuclei compared with control samples (Young et al, 2004 ). Our data showed that the susceptibility significantly increased in the left thalamus, which corroborated previous MR results that described the presence of structural abnormalities in the left thalamus among patients with depression (Lu et al, 2016 ; Li et al, 2017 ).…”

Section: Discussionsupporting

confidence: 92%

Quantitative Susceptibility Mapping Reveals an Association between Brain Iron Load and Depression Severity

Yao

Zeng

et al. 2017

Front. Hum. Neurosci.

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Previous studies have detected abnormal serum ferritin levels in patients with depression; however, the results have been inconsistent. This study used quantitative susceptibility mapping (QSM) for the first time to examine brain iron concentration in depressed patients and evaluated whether it is related to severity. We included three groups of age- and gender-matched participants: 30 patients with mild-moderate depression (MD), 14 patients with major depression disorder (MDD) and 20 control subjects. All participants underwent MR scans with a 3D gradient-echo sequence reconstructing for QSM and performed the 17-item Hamilton Depression Rating Scale (HDRS) test. In MDD, the susceptibility value in the bilateral putamen was significantly increased compared with MD or control subjects. In addition, a significant difference was also observed in the left thalamus in MDD patients compared with controls. However, the susceptibility values did not differ between MD patients and controls. The susceptibility values positively correlated with the severity of depression as indicated by the HDRS scores. Our results provide evidence that brain iron deposition may be associated with depression and may even be a biomarker for investigating the pathophysiological mechanism of depression.

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Section: Discussionsupporting

confidence: 92%

Quantitative Susceptibility Mapping Reveals an Association between Brain Iron Load and Depression Severity

Yao

Zeng

et al. 2017

Front. Hum. Neurosci.

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“…While not studies of self-schemas, sMRI has been used to study associations between grey matter volume (GMV) and depression. Overall, clinically depressed adults and youth show reduced GMV in distributed regions including PFC, anterior cingulate cortex (ACC), amygdala, and hippocampus (see meta-analyses Arnone et al, 2016 , Bora et al, 2012 , Lai, 2013 , Peng et al, 2016 , Sacher et al, 2012 , Schmaal et al, 2017 ), although inconsistent findings have also been reported, potentially due to the heterogeneity of the depressed participants used in past work (e.g., treatment status; Amico et al, 2011 , Besteher et al, 2019 , Li et al, 2015 , Li et al, 2017 , Merz et al, 2018 ). In non-depressed youth, subthreshold depressive symptoms were associated with smaller GMV in vmPFC, ACC, and caudates ( Boes et al, 2008 , Vulser et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Depressogenic self-schemas are associated with smaller regional grey matter volume in never-depressed preadolescents

Liu

Vandemeer

Joanisse

et al. 2020

NeuroImage: Clinical

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Highlights Less positive self-schemas are associated with smaller grey matter volume in youth. More negative self-schemas are associated with smaller grey matter volume in youth. Smaller grey matter volume may serve as a neural marker of early depression risk. Self-schemas may mediate links between grey matter volume and depressive symptoms.

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“…In brain imaging technology, voxel-based morphometry (VBM) can reflect the cortical volume density of the brain areas 16 , and resting-state fMRI (rs-fMRI) can reflect the functional connectivity (FC) of the brain network 17 , Both are useful methods to study the brain response of PSD. Seed-based analyses are frequently applied to resting-state data.…”

Section: Introductionmentioning

confidence: 99%

A Study of the Brain Abnormalities of Post-Stroke Depression in Frontal Lobe Lesion

Shi¹,

Wu²,

Liu³

et al. 2017

Sci Rep

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Post stroke depression (PSD) is a serious complication of stroke. Brain imaging is an important method of studying the mechanism of PSD. However, few studies have focused on the single lesion location. The aim of this study was to investigate the brain mechanism of frontal lobe PSD using combined voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI). In total, 30 first-time ischemic frontal lobe stroke patients underwent T1 weighted MRI and resting-state fMRI scans. Clinical assessments included the 24-item Hamilton Rating Scale for Depression, the National Institutes of Health Stroke Scale, and the Mini-Mental State Examination. In our result, decreased gray matter (GM) volume in patients was observed in the prefrontal cortex, limbic system and motor cortex. The anterior cingulate cortex, selected as a seed to perform connectivity analyses, showed a greatly decreased functional connectivity with the prefrontal cortex, cingulate cortex, and motor cortex, but had an increased functional connectivity with the hippocampus gyrus, parahippocampa gyrus, insular, and amygdala. Stroke lesion location reduces excitability of brain areas in the ipsilateral brain. PSD affects mood through the brain network of the prefrontal-limbic circuit. Some brain networks, including motor cortex and the default mode network, show other characteristics of PSD brain network.

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Anatomical brain difference of subthreshold depression in young and middle-aged individuals

Cited by 35 publications

References 65 publications

Quantitative Susceptibility Mapping Reveals an Association between Brain Iron Load and Depression Severity

Quantitative Susceptibility Mapping Reveals an Association between Brain Iron Load and Depression Severity

Depressogenic self-schemas are associated with smaller regional grey matter volume in never-depressed preadolescents

A Study of the Brain Abnormalities of Post-Stroke Depression in Frontal Lobe Lesion

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