Publications by authors named "Guangrong 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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Background: Fried food has increased in popularity worldwide. However, deep frying can increase the production of peroxidative toxins in food, which might be harmful to fetal development. The antioxidative effect of vitamin D3 (VD3) has been reported previously.

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Main Problem: Anhedonia is a critical diagnostic symptom of major depressive disorder (MDD), being associated with poor prognosis. Understanding the neural mechanisms underlying anhedonia is of great significance for individuals with MDD, and it encourages the search for objective indicators that can reliably identify anhedonia.

Methods: A predictive model used connectome-based predictive modeling (CPM) for anhedonia symptoms was developed by utilizing pre-treatment functional connectivity (FC) data from 59 patients with MDD.

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Major depressive disorder (MDD) represents a serious public health concern, negatively affecting individuals' quality of life and making a substantial contribution to the global burden of disease. Anhedonia is a core symptom of MDD and is associated with poor treatment outcomes. Variability in anhedonia components within MDD has been observed, suggesting heterogeneity in psychopathology across subgroups.

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Background: Melancholic depression, marked by typical symptoms of anhedonia, is regarded as a homogeneous subtype of major depressive disorder (MDD). However, little attention was paid to underlying mechanisms of melancholic depression. This study aims to examine functional connectivity of the reward circuit associated with anhedonia symptoms in melancholic depression.

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Dietary oxidized fat contains harmful materials such as hydrogen peroxide and malondialdehyde (MDA). Excessive oxidized fat intake during pregnancy and lactation not only leads to maternal body injury but also damages offspring health. Our previous study demonstrated that vitamin D (VD) had antioxidative capability in sows.

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Background: We attempted to explore the common and distinct long- and short-range functional connectivity (FC) patterns of melancholic and non-melancholic major depressive disorder (MDD) and their associations with clinical characteristics.

Methods: Fifty-nine patients with first-episode drug-naïve MDD, including 31 patients with melancholic features and 28 patients with non-melancholic features, underwent resting-state functional magnetic resonance imaging (fMRI) scanning to examine long- and short-range FC. Thirty-two healthy volunteers were recruited as controls.

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Background: Previous research found associations between neuropsychiatric disorders and patterns of highly connected "hub" nodes, which are crucial in coordinating brain functions. Melancholic depression is considered a relatively distinct and homogenous subtype of major depressive disorder (MDD), which responds better to pharmacological treatments than placebos or psychotherapies. Accordingly, melancholic depression probably has distinct neuropathological underpinnings.

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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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Background: Despite common dissatisfaction with the syndromic heterogeneity of major depression, investigations into its symptom structure are scarce. Self-worthlessness/inadequacy is a distinctive and consistent symptom of major depression across cultures.

Aims: We investigated whether self-worthlessness is associated with self-blaming attribution-related symptoms or is instead an expression of reduced positive feelings overall, as would be implied by reduced positive affect accounts of depression.

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This study was to investigate the relationship between the ventral caudate connectivity and anhedonia. Nineteen depressed patients and 16 healthy controls participated in two identical functional magnetic resonance imaging scans during a 1-year period to determine the resting-state functional connectivity changes using a seed-based approach. Patients showed increased left ventral caudate functional connectivity with superior frontal gyrus over time and the increased connectivity was associated with anhedonia improvement.

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Background: Melancholic major depressive disorder (MDD) is a network-based brain disorder. However, whether or not network-based changes can be applied to differentiate melancholic (MEL) from non-melancholic (NMEL) MDD remains unclear.

Methods: Thirty-one MEL patients, 28 NMEL patients, and 32 matched healthy controls (HCs) were scanned using resting-state functional magnetic resonance imaging.

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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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Background: Melancholic depression has been assumed as a severe type of major depressive disorder (MDD). We aimed to explore if there were some distinctive alterations in melancholic MDD and whether the alterations could be used to discriminate the melancholic MDD and nonmelancholic MDD.

Methods: Thirty-one outpatients with melancholic MDD, thirty-three outpatients with nonmelancholic MDD, and thirty-two age- and gender-matched healthy controls were recruited.

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Objective: Previous studies have revealed different neuroimaging features between melancholic and non-melancholic major depressive disorder (MDD). However, homotopic connectivity of melancholic and non-melancholic MDD remains unknown. The present study aimed to explore common and distinct homotopic connectivity patterns of melancholic and non-melancholic MDD and their associations with clinical characteristics.

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Melancholic depression has been viewed as one severe subtype of major depressive disorder (MDD). However, it is unclear whether melancholic depression has distinct changes in brain imaging. We aimed to explore specific or distinctive alterations in melancholic MDD and whether the alterations could be used to separate melancholic MDD from non-melancholic MDD or healthy controls.

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Article Synopsis
  • 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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Here, we demonstrate that conductive polyaniline (PANI) can function as a solid redox mediator to efficiently shuttle photogenerated electrons from BiVO4 to Ru/SrTiO3:Rh, thus greatly promoting the separation of electrons and holes and nearly quadrupling the overall water splitting activity under visible light irradiation (λ ≥ 420 nm).

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Background: Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed to characterize dynamic FC in MDD using a large multi-site sample and a novel dynamic network-based approach.

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Article Synopsis
  • 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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