A5011995859- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Schizophrenia research and treatment
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Psychosomatic Disorders and Their Treatments
- Neural and Behavioral Psychology Studies
- Obsessive-Compulsive Spectrum Disorders
- Treatment of Major Depression
- Tryptophan and brain disorders
- Neurological disorders and treatments
- Bipolar Disorder and Treatment
- Heart Rate Variability and Autonomic Control
- Botulinum Toxin and Related Neurological Disorders
- Stress Responses and Cortisol
- EEG and Brain-Computer Interfaces
- Vestibular and auditory disorders
- Transcranial Magnetic Stimulation Studies
- Diet and metabolism studies
- Attention Deficit Hyperactivity Disorder
- Mental Health and Psychiatry
- Memory and Neural Mechanisms
- Urinary Bladder and Prostate Research
Second Xiangya Hospital of Central South University
2016-2025
Central South University
2016-2025
Third Affiliated Hospital of Southern Medical University
2015-2025
Fudan University
2024
Sun Yat-sen University
2015-2024
The First Affiliated Hospital, Sun Yat-sen University
2024
People’s Hospital of Linqing
2024
Xian Yang Central Hospital
2024
Qiqihar Medical University
2022-2023
National Clinical Research
2021-2023
Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power data analysis approaches varied widely. The REST-meta-MDD Project resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups China established the Consortium by contributing R-fMRI from 1,300 patients with 1,128 normal controls (NCs). Data were preprocessed locally a standardized...
Abstract Background There is no evidence supporting that temperature changes COVID-19 transmission. Methods We collected the cumulative number of confirmed cases all cities and regions affected by in world from January 20 to February 4, 2020, calculated daily means average, minimum maximum temperatures January. Then, restricted cubic spline function generalized linear mixture model were used analyze relationships. Results total 24,139 China 26 overseas countries. In total, 16,480 (68.01%)...
Objective: The purpose of this study was to assess the efficacy metformin in preventing olanzapine-induced weight gain. Method: Forty patients with schizophrenia were randomly assigned treatment for 12 weeks olanzapine, 15 mg/day, plus metformin, 750 mg/day (N=20), or placebo (N=20). This investigation conducted a double-blind fashion. Planned assessments included body weight, mass index, proportion who gained more than 7% their baseline at end 12-week treatment, waist circumference,...
Magnetic resonance imaging (MRI) studies have indicated that the structure deficits and resting-state functional connectivity (FC) imbalances in cortico-limbic circuitry might underline pathophysiology of MDD. Using MRI, our aim is to investigate gray matter abnormalities patients with treatment-resistant depression (TRD) treatment-responsive (TSD), test whether altered associated FC. Voxel-based morphometry was used regions abnormality FC analysis further conducted between each abnormal...
Previous studies have found numerous brain changes in patients with major depressive disorder (MDD), but no neurological biomarker has been developed to diagnose depression or predict responses antidepressants. In the present study, we used multivariate pattern analysis (MVPA) classify MDD different therapeutic and healthy controls explore diagnostic prognostic value of structural neuroimaging data MDD.Eighteen treatment-resistant (TRD), 17 treatment-sensitive (TSD) matched were scanned...
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 characterize using a large multi-site sample novel network-based approach. Resting-state magnetic resonance imaging (fMRI) data were acquired from total 460 473 healthy controls, as part REST-meta-MDD consortium. networks constructed for each subject...
Major depressive disorder (MDD) is heterogeneous associated with aberrant functional connectivity within the default mode network (DMN). This study focused on data-driven identification and validation of potential DMN-pattern-based MDD subtypes to parse heterogeneity disorder. The sample comprised 1397 participants including 690 patients 707 healthy controls (HC) registered from multiple sites based REST-meta-MDD Project in China. Baseline resting-state magnetic resonance imaging (rs-fMRI)...
Abstract Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with standardized pipeline across all participating sites, has been first effort from DIRECT. In this...