Publications by authors named "Guan-Mao Chen"
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.
View Article and Find Full Text PDFReduced nucleus accumbens functional connectivity in reward network and default mode network in patients with recurrent major depressive disorder.
Yu-Dan Ding Xiao Chen Zuo-Bing Chen Le Li Xue-Ying Li Guan-Mao Chen Ning-Xuan Chen Wei Chen Chang Cheng Yu-Qi Cheng Yi-Cheng Long Zhi-Chen Zhu
Transl Psychiatry
June 2022
Article Synopsis
- 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.
Article Synopsis
- 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.
Article Synopsis
- * 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.
Brain structural alterations in MDD patients with gastrointestinal symptoms: Evidence from the REST-meta-MDD project.
Peng-Hong Liu Yan Li Ai-Xia Zhang Ning Sun Gai-Zhi Li Xiao Chen Guan-Mao Chen Ning-Xuan Chen Tao-Lin Chen Wei Chen Chang Cheng Yu-Qi Cheng Yi-Cheng Long
Prog Neuropsychopharmacol Biol Psychiatry
December 2021
Article Synopsis
- 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
Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project.
Yu-Dan Ding Ru Yang Chao-Gan Yan Xiao Chen Tong-Jian Bai Guan-Mao Chen Ning-Xuan Chen Tao-Lin Chen Wei Chen Chang Cheng Yu-Qi Cheng Yi-Cheng Long
J Affect Disord
April 2021
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.
Article Synopsis
- 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.
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.