Early life stress affects limited regional brain activity in depression

Li, Du; Wang, Jingjie; Meng, Ben; Na, Yong; Yang, Xiangying; Huang, Qingling; Zhang, Yan; Yang, Lingling; Yuan, Qing; Chen, Zhu; Li, Yongmei; Lv, Fajin; Hua, Hui‐Ming

doi:10.1038/srep25338

Cited by 31 publications

(23 citation statements)

References 43 publications

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“…ALFF also helps to avoid the potential bias induced by selection of the ‘seed’ voxels or the number of components in resting-state functional connectivity analysis 24 , 26 such as graph theory, ROI-to-ROI matrix analysis, seed-to-voxel analysis and independent component analysis. Resting-state studies in MDD have reported increased ALFF in the frontal cortex, including ACC, OFC 27 , 28 and posterior cingulate cortex/precuneus 29 , as well as the fusiform gyrus 29 – 31 and lingual gyrus 30 , 32 , which have been thought to reflect the excessive self-referential processing of MDD. Decreased ALFF has been reported in the cerebellar hemispheres 33 , 34 and superior temporal gyrus 32 , 35 , and this has been linked to deficits in cognitive control of emotional processing.…”

Section: Introductionmentioning

confidence: 99%

Conjoint and dissociated structural and functional abnormalities in first-episode drug-naive patients with major depressive disorder: a multimodal meta-analysis

Wang

Zhao

et al. 2017

Sci Rep

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Published MRI evidence of structural and resting-state functional brain abnormalities in MDD has been inconsistent. To eliminate interference by repeated disease episodes and antidepressant treatment, we conducted the first multimodal voxel-wise meta-analysis of studies of voxel-based morphometry (VBM) and the amplitude of low-frequency fluctuation (ALFF) in first-episode drug-naive MDD patients, using the Seed-based d Mapping method (SDM). Fifteen VBM data sets and 11 ALFF data sets were included. SDM-based multimodal meta-analysis was used to highlight brain regions with both structural and functional abnormalities. This identified conjoint structural and functional abnormalities in left lateral orbitofrontal cortex and right supplementary motor area, and also dissociated abnormalities of structure (decreased grey matter in right dorsolateral prefrontal cortex and right inferior temporal gyrus; increased grey matter in right insula, right putamen, left temporal pole, and bilateral thalamus) and function (increased brain activity in left supplementary motor area, left parahippocampal gyrus, and hippocampus; decreased brain activity in right lateral orbitofrontal cortex). This study reveals a complex pattern of conjoint and dissociated structural and functional abnormalities, supporting the involvement of basal ganglia-thalamocortical circuits, representing emotional, cognitive and psychomotor abnormalities, in the pathophysiology of early-stage MDD. Specifically, this study adds to Psychoradiology, an emerging subspecialty of radiology, which seems primed to play a major clinical role in guiding diagnostic and treatment planning decisions in patients with mental disorder.

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Section: Introductionmentioning

confidence: 99%

Conjoint and dissociated structural and functional abnormalities in first-episode drug-naive patients with major depressive disorder: a multimodal meta-analysis

Wang

Zhao

et al. 2017

Sci Rep

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“…Of note, MDD subjects exhibited decreased fALFF in multiple areas of the right PFC in the present study. The PFC areas have been most consistently identi ed as being closely related to MDD [35,36], and each distinct subregion of the PFC plays a different critical role in the cognitive bias of MDD [30]. The altered PFC regions in our study mainly consisted of the dorsal lateral prefrontal cortex (DLPFC), ventrolateral prefrontal cortex (VLPFC) and the premotor areas.…”

Section: Discussionmentioning

confidence: 79%

Is there any difference in the fractional amplitude of low-frequency fluctuations between first episode major depressive disorder patients and subclinical depressive subjects?

Xie¹,

Ruan²,

Zhang³

et al. 2020

Preprint

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Background To explore the differences in the fractional amplitude of low-frequency fluctuations (fALFF) at the whole-brain level between young adults with major depressive disorder (MDD) and those with Subclinical depression (SD). Methods Thirty-nine first-episode MDD patients, 30 SD subjects, and 37 healthy controls (HCs) were recruited. All participants underwent resting-state fMRI (Rs-fMRI) scans on a 3T MR scanner. We used the fALFF to explore spontaneous neuronal activity between groups. Results Significant differences in the fALFF were observed among the three groups. Compared with the HCs, an increased fALFF was found in the left cerebellum in MDD patients. When MDD patients were compared with SD subjects, we observed increased fALFF values in the bilateral fusiform gyrus and decreased fALFF values in the right inferior frontal gyrus, right superior frontal gyrus, right middle frontal gyrus, left cuneus and right precuneus. Compared with the HCs, the SD group demonstrated increased fALFF values in the precuneus. Additionally, a positive correlated was revealed between the fALFF values and Hamilton Anxiety Scale (HAMA)score in the right fusiform gyrus in MDD patients. Moreover, the fALFF value were negatively correlated with the Beck Depression Inventory (BDI) score in the right inferior frontal gyrus and with the age in the left fusiform gyrus in SD subjects. Conclusions Our findings suggest that alterations of cognitive and executive networks, default mode networks and visual recognition circuits may contribute to the different neural mechanisms between MDD and SD in young adult subjects.

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“…Figure 1 shows a flow diagram of the study selection process. 12 papers (Liu et al, 2010, 2013, 2014; Peng et al, 2011; Chen J. D. et al, 2012; Shen et al, 2014; Wang L. et al, 2014, 2016; Wang L. J. et al, 2014; Zhang et al, 2014; Lai and Wu, 2015; Du et al, 2016) were selected. Specifically, this meta-analysis involved 313 medication-naive patients with first-episode unipolar MDD (55.6% females; mean age 31.62 years) from China, matched with 283 HCs (51.9% females; mean age 30.77 years) based on age, sex, education and nationality.…”

Section: Resultsmentioning

confidence: 99%

“…The amygdala is a key structure in a limbic circuit and plays an important role in involuntary, automatic appraisal processes, which are crucial components of emotion (Dannlowski et al, 2007). The amygdala is likely involved in the pathophysiology of depression, because several studies have used various imaging modalities, such as structural MRI (Lorenzetti et al, 2010; Burke et al, 2011), task-related MRI (Thomas et al, 2001) and rs-fMRI (Du et al, 2016), to report amygdala alterations in patients with depression. Previous meta-analyses (Campbell et al, 2004; Arnone et al, 2012) have reported the lack of volume differences in the amygdala between patients with depression and HCs.…”

Section: Discussionmentioning

confidence: 99%

Altered Resting-State Functional Activity in Medication-Naive Patients With First-Episode Major Depression Disorder vs. Healthy Control: A Quantitative Meta-Analysis

Liu

et al. 2019

Front. Behav. Neurosci.

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Background: There is an urgent need for a meta-analysis that characterizes the brain states of major depression disorder (MDD) patients and potentially provides reliable biomarkers, because heterogeneity in the results of resting-state functional neuroimaging has been observed between studies, with some patients not showing the consistent changes, or even opposite patterns. Thus, we evaluated consistent regional brain activity alterations in medication-naive patients with first-episode unipolar MDD and compared the results with those in healthy controls (HCs). Methods: A systematic database search was conducted (in PubMed, Ovid, and Web of Knowledge) between January 1984 and July 2016 to select resting-state functional activity studies with a voxel-wise analysis in MDD. We used anisotropic effect size-signed differential mapping to perform a whole-brain meta-analysis, comparing functional alterations between first-episode medication-naive unipolar MDD patients and HCs by integrating the studies. In addition, subgroup meta-analysis was conducted to control for the MRI analysis method. Moreover, the meta-regression analyses were performed to examine the potential effects of mean age, education duration, illness duration, and severity of depressive symptoms. Results: A total of 12 studies were included, comparing 313 MDD patients with 283 HCs. The pooled and subgroup meta-analysis found that the MDD patients showed hyperactivity in the left parahippocampal gyrus, left supplementary motor area, left amygdala, left hippocampus, and left middle frontal gyrus (MFG; orbital part), and hypoactivity in the left lingual gyrus, left middle occipital gyrus, right cuneus cortex, right MFG (orbital part), and left cerebellum. In the meta-regression analyses, the mean illness duration was positively associated with hyper-activation in the left parahippocampal gyrus and hypoactivation in the hemispheric lobule IV/V of the left cerebellum. Conclusions: This meta-analysis indicated that MDD patients had significant and robust resting-state brain activity alteration in amygdala, left hippocampus and other regions, which implicated this finding in the pathophysiology of cognitive and emotional impairment in MDD patients.

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Early life stress affects limited regional brain activity in depression

Cited by 31 publications

References 43 publications

Conjoint and dissociated structural and functional abnormalities in first-episode drug-naive patients with major depressive disorder: a multimodal meta-analysis

Conjoint and dissociated structural and functional abnormalities in first-episode drug-naive patients with major depressive disorder: a multimodal meta-analysis

Is there any difference in the fractional amplitude of low-frequency fluctuations between first episode major depressive disorder patients and subclinical depressive subjects?

Altered Resting-State Functional Activity in Medication-Naive Patients With First-Episode Major Depression Disorder vs. Healthy Control: A Quantitative Meta-Analysis

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