A5100455849- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Bipolar Disorder and Treatment
- Advanced MRI Techniques and Applications
- Tryptophan and brain disorders
- Schizophrenia research and treatment
- Treatment of Major Depression
- EEG and Brain-Computer Interfaces
- Stress Responses and Cortisol
- Neurological Disease Mechanisms and Treatments
- Neural and Behavioral Psychology Studies
- Parkinson's Disease Mechanisms and Treatments
- Machine Learning in Bioinformatics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- RNA and protein synthesis mechanisms
- Arsenic contamination and mitigation
- E-commerce and Technology Innovations
- Heavy Metal Exposure and Toxicity
- Transcranial Magnetic Stimulation Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Genomics and Phylogenetic Studies
- Neuroscience and Neuropharmacology Research
- S100 Proteins and Annexins
Chengdu Institute of Biology
2025
Chinese Academy of Sciences
2025
Nanjing Brain Hospital
2021-2025
Nanjing Medical University
2020-2025
Tianjin Medical University General Hospital
2021-2025
Northeastern University
2016-2024
China Medical University
2015-2024
First Hospital of China Medical University
2014-2024
Albert Einstein College of Medicine
2024
Montefiore Medical Center
2024
The first brain-wide voxel-level resting state functional connectivity neuroimaging analysis of depression is reported, with 421 patients major depressive disorder and 488 control subjects. Resting between different voxels reflects correlations activity those a fundamental tool in helping to understand the brain regions altered function depression. One circuit involved medial orbitofrontal cortex Brodmann area 13, which implicated reward, had reduced memory systems parahippocampal gyrus...
Abstract Aberrant topological organization of whole-brain networks has been inconsistently reported in studies patients with major depressive disorder (MDD), reflecting limited sample sizes. To address this issue, we utilized a big data MDD from the REST-meta-MDD Project, including 821 and 765 normal controls (NCs) 16 sites. Using Dosenbach 160 node atlas, examined functional extracted features (e.g., global local efficiency, nodal degree) using graph theory-based methods. Linear...
Abstract There are limited resting‐state functional magnetic resonance imaging (fMRI) studies in major depressive disorder (MDD). Of these studies, connectivity analyses mostly used. However, a new method based on the magnitude of low frequency fluctuation (LFF) during fMRI may provide important insight into MDD. In this study, we examined amplitude LFF (ALFF) within whole brain 30 treatment‐naïve MDD subjects and healthy control (HC) subjects. When compared with HC, showed increased ALFF...
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...
Objective: Clinically, it is very difficult to distinguish between major depressive disorder (MDD) and bipolar (BD) in the period of depression. Increasing evidence shows that insula plays an important role We aimed compare resting-state functional connectivity (rsFC) insular subregions patients with MDD BD episodes (BDD), who had never experienced manic or hypomanic when they were scanned identify biomarkers for identification two diseases. Methods: recruited 21 BDD patients, 40 70 healthy...
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...
Major depressive disorder (MDD) is a globally prevalent and highly disabling disease characterized by dysfunction of large-scale brain networks. Previous studies have found that static functional connectivity not sufficient to reflect the complicated time-varying properties brain. The underlying dynamic interactions between networks MDD remain largely unknown, it also unclear whether neuroimaging-based are sufficiently robust discriminate individuals with from healthy controls since...
<h3>Background:</h3> Convergent evidence suggests dysfunction within the prefrontal cortex (PFC) and amygdala, important components of a neural system that subserves emotional processing, in individuals with major depressive disorder (MDD). Abnormalities this left hemisphere during processing negative stimuli are especially implicated. In study, we used functional magnetic resonance imaging (fMRI) to investigate amygdala–PFC connectivity face medication-naive MDD. <h3>Methods:</h3>...
Background Convergent studies suggest that morphological abnormalities of frontal-subcortical circuits which involved with emotional and cognitive processing may contribute to the pathophysiology major depressive disorder (MDD). Antidepressant treatment has been reported reverse functional in MDD have treating effects related brain abnormalities. In this study, we used voxel-based morphometry method investigate whole structural single episode, medication-naïve patients. Furthermore,...
A single-nucleotide polymorphism at the LHPP gene (rs35936514) has been reported in genome-wide association studies to be associated with major depressive disorder (MDD). However, neural system effects of rs35936514 that mediate are unknown. The present work explores whether moderates brain regional activity MDD. total 160 subjects were studied: a CC group homozygous for C allele (23 individuals MDD and 57 controls) T-carrier carrying high risk T (CT/TT genotypes; 22 58 controls). All...
Background: Cognitive dysfunction is considered a core feature among schizophrenia (SZ), bipolar disorder (BD), and major depressive (MDD). Despite copious literature on comparisons of cognitive in these disorders, the relationship between symptom dimensions remains unclear. The study aims to examine impairment psychopathology SZ, BD, MDD. Methods: A total 716 participants (262 patients with 104 101 MDD, 249 healthy controls) were assessed using MATRICS Consensus Battery (MCCB), Wisconsin...
Evidence implicates abnormalities in prefrontal-hippocampus neural circuitry major depressive disorder (MDD). This study investigates the potential disruptions structural and functional connectivity, as well their relationship first-episode medication-naïve adolescents with MDD order to investigate early stage of illness without confounds course medication exposure.Diffusion tensor imaging resting-state magnetic resonance (rs-fMRI) data were acquired from 26 31 healthy controls (HC)....
The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years 132 global sites. We report critical inflection points in nonlinear curves mean variance connectome, peaking late fourth third decades life, respectively. After constructing a fine-grained, lifespan-wide suite system-level brain atlases, show distinct maturation timelines for segregation...
The less training data and insufficient supervision limit the performance of deep supervised models for brain disease diagnosis. It is significant to construct a learning framework that can capture more information in limited supervision. To address these issues, we focus on self-supervised aim generalize networks, which are non-Euclidean graph data. More specifically, propose an ensemble masked named BrainGSLs, incorporates 1) local topological-aware encoder takes partially visible nodes as...
Wang F, McIntosh AM, He Y, Gelernter J, Blumberg HP. The association of genetic variation in CACNA1C with structure and function a frontotemporal system. Bipolar Disord 2011: 13: 696–700. © 2011 Authors. Journal compilation John Wiley & Sons A/S. Objectives: A single nucleotide polymorphism at the gene (rs1006737) has been reported genome‐wide studies to be associated bipolar disorder (BD) significance. However, neural system effects that mediate are not known. In this study, we assessed...
Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous sources for exploiting multi-aspect feature information. Gene ontology, hereinafter referred as GO, uses a controlled vocabulary depict biological molecules gene products in terms process, molecular function cellular...