Brain functional abnormalities in the amygdala subregions is associated with anxious depression

Qiao, Juan; Tao, Shiwan; Wang, Xinyi; Shi, Jiabo; Chen, Yu; Tian, Shui; Yao, Zhijian; Lü, Qing

doi:10.1016/j.jad.2020.06.077

Cited by 35 publications

(24 citation statements)

References 60 publications

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“…The increase in FA of the MFG correlated with a decrease in depressive symptoms ( 50 ). Our results were similar to a recent study ( 51 ) that found that patients with anxious depression exhibited lower functional connectivity between the right centromedial/laterobasal amygdala and right MFG relative to patients with non-anxious depression ( 51 ). Other studies showed that improvements in mood positively correlated with an increase in amygdala-MFG connectivity strength ( 52 ).…”

Section: Discussionsupporting

confidence: 92%

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Mindfulness-Based Cognitive Therapy Regulates Brain Connectivity in Patients With Late-Life Depression

Yan

Wang

et al. 2022

Front. Psychiatry

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Late-life depression (LLD) is an important public health problem among the aging population. Recent studies found that mindfulness-based cognitive therapy (MBCT) can effectively alleviate depressive symptoms in major depressive disorder. The present study explored the clinical effect and potential neuroimaging mechanism of MBCT in the treatment of LLD. We enrolled 60 participants with LLD in an 8-week, randomized, controlled trial (ChiCTR1800017725). Patients were randomized to the treatment-as-usual (TAU) group or a MBCT+TAU group. The Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA) were used to evaluate symptoms. Magnetic resonance imaging (MRI) was used to measure changes in resting-state functional connectivity and structural connectivity. We also measured the relationship between changes in brain connectivity and improvements in clinical symptoms. HAMD total scores in the MBCT+TAU group were significantly lower than in the TAU group after 8 weeks of treatment (p < 0.001) and at the end of the 3-month follow-up (p < 0.001). The increase in functional connections between the amygdala and middle frontal gyrus (MFG) correlated with decreases in HAMA and HAMD scores in the MBCT+TAU group. Diffusion tensor imaging analyses showed that fractional anisotropy of the MFG-amygdala significantly increased in the MBCT+TAU group after 8-week treatment compared with the TAU group. Our study suggested that MBCT improves depression and anxiety symptoms that are associated with LLD. MBCT strengthened functional and structural connections between the amygdala and MFG, and this increase in communication correlated with improvements in clinical symptoms.Randomized Controlled Trial; Follow-Up Study; fMRI; Brain Connectivity

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Section: Discussionsupporting

confidence: 92%

“…Figure 4 shows FA of the MFG-amygdala before and after therapy in the two groups. The repeated-measures ANOVA showed significant time × group [F (1,51) = 4.829, p = 0.033] and time × hemisphere [F (1,51) = 27.524, p < 0.001] interactions and significant main effects of…”

Section: Diffusion Tensor Imaging Measuresmentioning

confidence: 99%

Mindfulness-Based Cognitive Therapy Regulates Brain Connectivity in Patients With Late-Life Depression

Yan

Wang

et al. 2022

Front. Psychiatry

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“…In addition, correlation analysis revealed that anxiety and depression scores were strong negative correlation with dALFF values of the MFG_R. According to recent functional imaging studies, the MFG_R are now considered to play an essential role in emotion regulation, and the lesions of this area are prone to show anxiety and depression [62][63][64][65]. Some studies [56,57] demonstrated that patients with generalized anxiety disorder or major depressive disorder exhibited abnormal dALFF variability in widespread regions, but not included MRG_R, this may due to different degree of anxiety and depression or different mechanism between them.…”

Section: Discussionmentioning

confidence: 99%

Hyperintensities of middle frontal gyrus in patients with diabetic optic neuropathy: a dynamic amplitude of low-frequency fluctuation study

Yang

Xiao

et al. 2022

Aging

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Diabetic optic neuropathy (DON) is a diverse complication of diabetes and its pathogenesis has not been fully elucidated. The purpose of this study was to explore dynamic cerebral activity changes in DON patients using dynamic amplitude of low-frequency fluctuation (dALFF). In total, 22 DON patients and 22 healthy controls were enrolled. The dALFF approach was used in all participants to investigate dynamic intrinsic brain activity differences between the two groups. Compared with HCs, DON patients exhibited significantly increased dALFF variability in the right middle frontal gyrus (P < 0.01). Conversely, DON patients exhibited obviously decreased dALFF variability in the right precuneus (P < 0.01). We also found that there were significant negative correlations between HADS scores and dALFF values of the right middle frontal gyrus in the DON patients (r = -0.6404, P <0.01 for anxiety and r = -0.6346, P <0.01 for depression; HADS, Hospital Anxiety and Depression Scale). Abnormal variability of dALFF was observed in specific areas of the cerebrum in DON patients, which may contribute to distinguishing patients with DON from HCs and a better understanding of DON, hyperintensities of right middle frontal gyrus may be potential diagnostic marker for DON.

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“…Although some research indicated MDD‐related reduction in thalamus (Schmaal et al, 2016; Webb et al, 2014; Ye et al, 2020), amygdala (Qi et al, 2018) and hippocampus (Nugent et al, 2013), the MDD case–control volumetric differences in subcortical regions have been found to be insignificant in some other studies (Bos et al, 2018; Shen et al, 2017). Furthermore, white matter microstructure (Chen et al, 2017; Shen et al, 2017; van Velzen et al, 2020), functional connectivity (Qiao et al, 2020; Ran et al, 2020) and abnormalities were also found in MDD patients. Although MDD‐related brain differences were found in several literatures, these studies usually reported small to very small effect sizes.…”

Section: Introductionmentioning

confidence: 99%

Spectral clustering based on structural magnetic resonance imaging and its relationship with major depressive disorder and cognitive ability

Yeung

Shen

Stolicyn

et al. 2021

Eur J of Neuroscience

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There is increasing interest in using data‐driven unsupervised methods to identify structural underpinnings of common mental illnesses, including major depressive disorder (MDD) and associated traits such as cognition. However, studies are often limited to severe clinical cases with small sample sizes and most do not include replication. Here, we examine two relatively large samples with structural magnetic resonance imaging (MRI), measures of lifetime MDD and cognitive variables: Generation Scotland (GS subsample, N = 980) and UK Biobank (UKB, N = 8,900), for discovery and replication, using an exploratory approach. Regional measures of FreeSurfer derived cortical thickness (CT), cortical surface area (CSA), cortical volume (CV) and subcortical volume (subCV) were input into a clustering process, controlling for common covariates. The main analysis steps involved constructing participant K‐nearest neighbour graphs and graph partitioning with Markov stability to determine optimal clustering of participants. Resultant clusters were (1) checked whether they were replicated in an independent cohort and (2) tested for associations with depression status and cognitive measures. Participants separated into two clusters based on structural brain measurements in GS subsample, with large Cohen's d effect sizes between clusters in higher order cortical regions, commonly associated with executive function and decision making. Clustering was replicated in the UKB sample, with high correlations of cluster effect sizes for CT, CSA, CV and subCV between cohorts across regions. The identified clusters were not significantly different with respect to MDD case–control status in either cohort (GS subsample: pFDR = .2239–.6585; UKB: pFDR = .2003–.7690). Significant differences in general cognitive ability were, however, found between the clusters for both datasets, for CSA, CV and subCV (GS subsample: d = 0.2529–.3490, pFDR < .005; UKB: d = 0.0868–0.1070, pFDR < .005). Our results suggest that there are replicable natural groupings of participants based on cortical and subcortical brain measures, which may be related to differences in cognitive performance, but not to the MDD case–control status.

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Brain functional abnormalities in the amygdala subregions is associated with anxious depression

Cited by 35 publications

References 60 publications

Mindfulness-Based Cognitive Therapy Regulates Brain Connectivity in Patients With Late-Life Depression

Mindfulness-Based Cognitive Therapy Regulates Brain Connectivity in Patients With Late-Life Depression

Hyperintensities of middle frontal gyrus in patients with diabetic optic neuropathy: a dynamic amplitude of low-frequency fluctuation study

Spectral clustering based on structural magnetic resonance imaging and its relationship with major depressive disorder and cognitive ability

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