Publications by authors named "Guang Rong Xie"

Empirical findings suggest reduced cortico-striatal structural connectivity in patients with major depressive disorder (MDD). However, the relationship between the abnormal structural covariance and one-year outcome of first-episode drug-naive patients has not been evaluated. This longitudinal study aimed to identify specific changes of ventral striatum-related brain structural covariance and grey matter volume in forty-two first-episode patients with major depression disorder compared with thirty-seven healthy controls at the baseline and the one-year follow-up conditions.

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Previous studies in small samples have identified inconsistent cortical abnormalities in major depressive disorder (MDD). Despite genetic influences on MDD and the brain, it is unclear how genetic risk for MDD is translated into spatially patterned cortical vulnerability. Here, we initially examined voxel-wise differences in cortical function and structure using the largest multi-modal MRI data from 1660 MDD patients and 1341 controls.

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Article Synopsis
  • Despite advancements in neuroimaging research on major depressive disorder (MDD), findings remain inconsistent due to small sample sizes and varying analysis methods, prompting the launch of the Depression Imaging REsearch ConsorTium (DIRECT) and the REST-meta-MDD project, which pooled data from 2,428 functional brain images.
  • The initial analyses revealed significant changes in brain connectivity and dynamics, laying the groundwork for future research and highlighting the need for more comprehensive studies across diverse populations.
  • DIRECT's second phase aims to broaden the investigation of brain alterations in MDD by including various ethnic groups and other mental health disorders, while also focusing on long-term studies of treatment effects and improving neuroimaging methodologies for clinical applications.
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  • The study investigates the nucleus accumbens (NAc), which is key in reward processing and its role in major depressive disorder (MDD).
  • Through meta- and mega-analysis of resting-state fMRI data, it was found that patients with recurrent MDD exhibited decreased functional connectivity within the NAc-based reward circuits.
  • The research highlights that disrupted connectivity between the reward network and the default mode network (DMN) may aid in differentiating MDD patients from healthy individuals, suggesting potential biomarkers for diagnosis.
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  • The study investigates the alterations in functional homotopy architecture in patients with Major Depressive Disorder (MDD), highlighting a significant reduction in functional connectivity between homotopic brain regions.
  • Using resting-state fMRI data from over 1,000 MDD patients and nearly 900 healthy controls, researchers found specific areas in the brain, like the posterior cingulate gyrus and precuneus, showed notably decreased connectivity in MDDs, with variations related to age and gender.
  • The findings suggest that structural connectivity deficits in MDD may impact how information is exchanged between the brain's hemispheres, correlating with the severity of depressive symptoms and indicating potential areas for further study in treatment.
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  • * Researchers employed graph theory methods to analyze functional brain networks, finding that MDD patients exhibited significantly decreased global and local efficiency compared to normal controls.
  • * The results highlighted specific disruptions in critical brain networks, particularly affecting recurrent MDD patients, indicating a consistent pattern of impaired efficiency in both local and global brain network communication.
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  • This study aims to investigate the neural underpinnings of gastrointestinal (GI) symptoms in patients with major depressive disorder (MDD) by examining changes in brain structure, specifically focusing on gray matter volume (GMV) and density (GMD).* -
  • Researchers divided participants into three groups: MDD patients with GI symptoms, MDD patients without GI symptoms, and healthy controls, analyzing MRI scans from a total of 930 individuals and using tools like the Hamilton Depression Rating Scale to assess symptoms.* -
  • Results showed that patients with GI symptoms had higher depression scores and significant differences in brain structure compared to the other groups, particularly in regions like the superior temporal gyrus and caudate nucleus, suggesting a link between
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  • The study investigates brain functional connectivity asymmetry in patients with Major Depressive Disorder (MDD) using resting-state fMRI data from 753 patients compared to 451 healthy controls.
  • Results show that MDD patients exhibited increased asymmetry scores, indicating decreased specialization in various brain networks, particularly in the default mode, control, and attention networks, influenced by demographic and clinical variables.
  • The findings suggest that MDD disrupts efficient brain information processing, providing new insights into the pathophysiology of depression that could inform future research.
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  • Major depressive disorder (MDD) is complex and can be divided into subtypes based on differences in brain connectivity within the default mode network (DMN), as revealed by a study involving 1,397 participants (690 MDD patients and 707 healthy controls).
  • Researchers used advanced data analysis methods, such as K-means and principal component analysis, to identify two distinct MDD subgroups—hyperDMN MDD (increased connectivity) and hypoDMN MDD (decreased connectivity)—which were consistently observed across multiple trials.
  • The discovery highlights the importance of understanding these neural subtypes, potentially guiding more personalized treatments for individuals with depression based on their specific connectivity patterns.
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  • Major depressive disorder (MDD) is prevalent and disabling, with unclear underlying brain mechanisms; the REST-meta-MDD Project aims to address these knowledge gaps using a large data set.
  • The project involved 25 research groups in China analyzing resting-state fMRI data from 1,300 MDD patients and 1,128 normal controls, finding decreased connectivity in the default mode network (DMN) among recurrent MDD patients.
  • The study highlights the importance of DMN connectivity in MDD, revealing a relationship between decreased connectivity, medication usage, and symptom severity, while encouraging further research on the impact of these findings on treatment response.
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Background: Recent empirical findings have suggested that imbalanced neural networks may underlie the pathophysiology of major depressive disorder (MDD). However, the contribution of the superior temporal gyrus (STG) and the caudate nucleus to its pathophysiology remains unclear.

Methods: Functional magnetic resonance imaging (MRI) date were acquired from 40 patients with first-episode drug-naive MDD and 36 matched healthy controls during wakeful rest.

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Anhedonia is associated with dysfunction of the neural circuitry of reward in patients with major depressive disorder (MDD). However, its neurobiological basis is not fully understood. The present study examined the association between anhedonia and white matter (WM) characteristics in patients with first-episode MDD.

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Objective: Unwillingness to expend more effort to pursue high value rewards has been associated with motivational anhedonia in schizophrenia (SCZ) and abnormal dopamine activity in the nucleus accumbens (NAcc). The authors hypothesized that dysfunction of the NAcc and the associated forebrain regions are involved in the impaired effort expenditure decision-making of SCZ.

Method: A 2 (reward magnitude: low vs.

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Cerebral morphological abnormalities in major depressive disorder (MDD) may be modulated by antidepressant treatment and course of illness in chronic medicated patients. The present study examined cortical thickness in patients with untreated first-episode MDD to elucidate the early pathophysiology of this illness. Here, we examined cortical thickness in patients with first-episode MDD (N=27) and healthy controls (N=27) using an automated surface-based method (in FreeSurfer).

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Background: Anhedonia, the loss of interest or pleasure in reward processing, is a hallmark feature of major depressive disorder (MDD), but its underlying neurobiological mechanism is largely unknown. The present study aimed to examine the underlying neural mechanism of reward-related decision-making in patients with MDD.

Method: We examined behavioral and neural responses to rewards in patients with first-episode MDD (N=25) and healthy controls (N=25) using the Effort-Expenditure for Rewards Task (EEfRT).

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Anhedonia is a hallmark symptom of major depressive disorder (MDD). Preliminary findings suggest that anhedonia is characterized by reduced reward anticipation and motivation of obtaining reward. However, relatively little is known about reward-based decision-making in depression.

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Our objective is to examine the role of planning skills for translating intentions into physical activity via planning cognitions. A study with 534 adolescents was conducted. Over 4 weeks, intention, planning cognitions (prospective anticipation of when, where, and how to perform activities), planning skills (successful past planning experiences), and physical activity were assessed.

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Objective: To explore the possible relationship between six single nucleotide polymorphisms (SNPs) (rs6311 and rs6305 of 5-HT2A, rs5443 of Gβ3, rs2230739 of ACDY9, rs1549870 of PDE1A and rs255163 of CREB1, which are all related with 5-HT2A the signal transduction pathway) and the response efficacy to selective serotonin reuptake inhibitor (SSRI) treatments in major depressive disorder (MDD) Chinese.

Methods: This study included 194 depressed patients to investigate the influence of 6 polymorphisms in 5-HT2A signal transduction-related genes on the efficacy of SSRIs assessed over 1 year. The efficacies of SSRIs on 194 MDD patients were evaluated in an 8-week open-trial study.

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Objective: Astroglial-derived protein S100B is known to play important roles in axonal growth, neural plasticity, and energy regulation. Disturbance of these neurodevelopmental processes is proposed as one possible etiology for mood disorder. Therefore, we performed a genetic analysis of S100B in patients with major depressive disorder (MDD).

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S100B protein is a calcium-binding protein mostly derived from glial cells, which exerts trophic or toxic effects on neural cell depending on its concentration. It has been reported that S100B played an important role as a potential marker in psychiatric disorders. Thus, we will explore the clinical implication of S100B in major depression, especially the effect of gender and numbers of depressive episodes on S100B.

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Objective: Astroglial-derived protein S100B is known to play important roles in axonal growth, neural plasticity, and energy regulation. Disturbance of these neurodevelopmental processes is proposed as one of the etiologies for mood disorder, and genetic polymorphisms of S100B have a possibility to be in susceptibility to major depressive disorder (MDD).

Method: We first investigated the association of the rs9722 C > T polymorphism of the S100B gene and susceptibility to MDD by comparing 152 major depressive patients with 150 healthy individuals in a Chinese population.

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