A5066947738- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Transcranial Magnetic Stimulation Studies
- Mental Health Research Topics
- Tryptophan and brain disorders
- Neural dynamics and brain function
- Schizophrenia research and treatment
- Neuroscience and Music Perception
- Advanced MRI Techniques and Applications
- Stress Responses and Cortisol
- Neurogenesis and neuroplasticity mechanisms
- EEG and Brain-Computer Interfaces
- Treatment of Major Depression
- Diet and metabolism studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Neuroscience and Neuropharmacology Research
- Neural and Behavioral Psychology Studies
- Bipolar Disorder and Treatment
- Gut microbiota and health
- Neurological disorders and treatments
- Geotechnical Engineering and Underground Structures
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Anesthesia and Neurotoxicity Research
- Geotechnical Engineering and Analysis
- Sleep and Wakefulness Research
Xijing Hospital
2016-2025
Air Force Medical University
2016-2025
Suzhou University of Science and Technology
2024
Tongji University
2024
Xi'an Jiaotong University
2024
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Xi'an Medical University
2024
Chinese People's Liberation Army
2023
Shaanxi University of Chinese Medicine
2023
BackgroundA lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning methods may be capable subtle hidden patterns from high dimensional data, overcome potential site-related variation, and achieve reproducible cross-site classification. However, learning-based transfer classification, despite less site-specificity more...
Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage full temporal information.Motivated by ability recurrent neural networks (RNN) in capturing information sequences, we propose a multi-scale RNN model, enables between 558 schizophrenia and 542 healthy controls using fMRI independent components (ICs) directly. To increase interpretability, also...
Background: Accumulating evidence has shown that neuropsychiatric disorders are associated with gut microbiota through the gut-brain axis. However, effects of antidepressant treatment on rarely studied. Here, we investigated whether stress led to changes and fluoxetine plays a role in alteration. Methods: We depression model induced by chronic unpredicted mild (CUMS) restoration applying classic drug fluoxetine. Results: found low bacterial diversity, simpler network, increased abundance...
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...
Abstract The default mode network (DMN) is suggested to play a pivotal role in schizophrenia; however, the dissociation pattern of functional connectivity DMN subsystems remains uncharacterized this disease. In study, resting-state fMRI data were acquired from 55 schizophrenic patients and 53 matched healthy controls. was estimated time courses independent components. lateral exhibited decreased with unimodal sensorimotor cortex but increased heteromodal association areas schizophrenics....
Abstract Evidence from behavioral, electrophysiological and diffusion-weighted imaging studies suggest that schizophrenia patients suffer deficiencies in bilateral brain communication this disruption may be related to the occurrence of auditory verbal hallucinations (AVH). To increase our understanding aberrant inter-hemispheric relation AVH, we recruited two groups first-episode patients: one group with AVH (N = 18 patients) without Non-AVH 20 healthy controls. All participants received T1...
Specific biomarker reflecting neurobiological substrates of schizophrenia (SZ) is required for its diagnosis and treatment selection SZ. Evidence from neuroimaging has implicated disrupted functional connectivity in the pathophysiology. We aimed to develop validate a method disease definition SZ by resting-state using radiomics strategy. This study included 2 data sets collected with different scanners. A total 108 first-episode patients 121 healthy controls (HCs) participated current study,...
Purpose To investigate auditory verbal hallucination (AVH)–specific patterns of brain activity within the resting-state networks (RSNs) that have been proposed to underpin neural mechanisms schizophrenia (SZ). Materials and Methods This cross-sectional study was approved by local ethics committee, written informed consent obtained from all participants prospectively recruited. Independent component analysis used RSNs in 17 patients with first-episode untreated SZ AVHs, 15 without 19 healthy...
Objective The aim of this study was to investigate alterations in functional connectivity (FC) within and interactions between resting‐state networks involved salience, executive control, interoception participants with obesity (OB). Methods Using magnetic resonance imaging independent component analysis FC, 35 OB normal‐weight controls (NW) were investigated. Results Compared NW, showed reduced FC strength the ventromedial prefrontal cortex posterior cingulate cortex/precuneus default‐mode...
Abstract Purpose Conceptualizing adolescent NSSI and emotional symptoms as a system of causal elements could provide valuable insights into the development non-suicidal self-injury (NSSI) in adolescent. This study aimed to explore intricate relationship between NSSI, depressive symptoms, anxious adolescents, identifying key establish theoretical foundation for targeted effective interventions addressing behaviors this population. Methods A total 412 adolescents with were selected from...
Understanding the impact of CYP2D6 metabolism on paroxetine, a widely used antidepressant, is essential for precision dosing.
Understanding the neural basis of schizophrenia (SZ) is important for shedding light on neurobiological mechanisms underlying this mental disorder. Structural and functional alterations in anterior cingulate cortex (ACC), dorsolateral prefrontal (DLPFC), hippocampus, medial (MPFC) have been implicated neurobiology SZ. However, effective connectivity among them SZ remains unclear. The current study investigated how neuronal pathways involving these regions were affected first-episode using...