Daihui Peng
A5055099970- Mental Health Research Topics
- Functional Brain Connectivity Studies
- Treatment of Major Depression
- Tryptophan and brain disorders
- Bipolar Disorder and Treatment
- Schizophrenia research and treatment
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Stress Responses and Cortisol
- Genetics and Neurodevelopmental Disorders
- Mental Health Treatment and Access
- Electroconvulsive Therapy Studies
- Suicide and Self-Harm Studies
- Advanced MRI Techniques and Applications
- Neurogenesis and neuroplasticity mechanisms
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Psychosomatic Disorders and Their Treatments
- Nerve injury and regeneration
- Neuroinflammation and Neurodegeneration Mechanisms
- Fibroblast Growth Factor Research
- Nuclear Receptors and Signaling
- Sleep and related disorders
- Child and Adolescent Psychosocial and Emotional Development
Shanghai Mental Health Center
2016-2025
Shanghai Jiao Tong University
2016-2025
First Hospital of Shanxi Medical University
2021
Shanxi Medical University
2021
Shanghai Center for Brain Science and Brain-Inspired Technology
2021
Shenzhen KangNing Hospital
2020
Simula Metropolitan Center for Digital Engineering
2020
University of Oslo
2020
Allergan (Ireland)
2020
XinHua Hospital
2020
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 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...
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...
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...
Background: Metabolic factors in the kynurenine pathway (KP) have been widely accepted as being a major mechanism Major Depressive Disorder (MDD). However, effects of these metabolites on degree and pattern MDD are still poorly understood, partly due to elusiveness level when diagnosing depression. This study aimed explore novel diagnostic method analyzing peripheral blood with mass spectrometry assess from KP patients Bipolar Depression (BD). Methods: Thirty-three MDD, 20 BD 23 healthy...
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...
Abstract Deep brain stimulation (DBS) of structures in the brain’s reward system is a promising therapeutic option for patients with treatment-resistant depression (TRD). Recently, DBS habenula (HB) anti-reward has also been reported to alleviate depressive symptoms TRD or bipolar disorder (BD). In this pilot open-label prospective study, we explored safety and clinical effectiveness HB–DBS treatment seven BD. Also, local field potentials (LFPs) were recorded from patients’ left right HB...
Major depressive disorder (MDD) is accompanied by atypical brain structure. This study first presents the alterations in cortical surface of patients with MDD using multidimensional structural patterns that reflect different neurodevelopment. Sixteen first-episode, untreated and 16 matched healthy controls underwent a magnetic resonance imaging (MRI) scan. The maps thickness, area, gyrification were examined surface-based morphometry (SBM) approach. Increase thickness was observed right...
Abstract Depression is one of the most common mental illnesses and a well‐known risk factor for suicide, characterized by low overall efficacy (<50%) high relapse rate (40%). A rapid objective approach screening prognosis depression highly desirable but still awaits further development. Herein, high‐performance metabolite‐based assay to aid diagnosis therapeutic evaluation developing vacancy‐engineered cobalt oxide (Vo‐Co 3 O 4 ) assisted laser desorption/ionization mass spectrometer...