- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Schizophrenia research and treatment
- Advanced MRI Techniques and Applications
- Alzheimer's disease research and treatments
- Machine Learning in Healthcare
- Neurological Disease Mechanisms and Treatments
- Genetic Associations and Epidemiology
- Dementia and Cognitive Impairment Research
- MRI in cancer diagnosis
Tianjin Medical University General Hospital
2022-2025
Neuroimaging studies have shown that schizophrenia is associated with disruption of resting-state local functional connectivity. However, these findings vary considerably, which hampers our understanding the underlying pathophysiological mechanisms schizophrenia. Here, we performed an updated and extended meta-analysis to identify most consistent changes connectivity measured by regional homogeneity (ReHo) in Specifically, a systematic search ReHo patients PubMed, Embase, Web Science...
Abstract Background and Hypothesis Schizophrenia manifests large heterogeneities in either symptoms or brain abnormalities. However, the neurobiological basis of symptomatic diversity remains poorly understood. We hypothesized that schizophrenia’s diverse arise from interplay structural functional alterations across multiple regions, rather than isolated abnormalities a single area. Study Design A total 495 schizophrenia patients 507 healthy controls 8 sites were recruited. Five dimensions...
Functional connectivity (FC) disruption is a remarkable characteristic of schizophrenia. However, heterogeneous patterns reported across sites severely hindered its clinical generalization. Based on qualified nodal-based FC 340 schizophrenia patients (SZ) and 348 normal controls (NC) acquired from seven different scanners, this study compared four commonly used site-effect correction methods in removing the site-related heterogeneities, then tried to cluster abnormal FCs into several...
Schizophrenia is a complex and heterogeneous syndrome with high clinical biological stratification. Identifying distinctive subtypes can improve diagnostic accuracy help precise therapy. A key challenge for schizophrenia subtyping understanding the subtype-specific underpinnings of heterogeneity. This study aimed to investigate if machine learning (ML)-based neuroanatomical symptomatic are associated.A total 314 patients 257 healthy controls from four sites were recruited. Gray matter volume...
Alzheimer's disease (AD) patients suffer progressive cerebral atrophy before dementia onset. However, the region-specific atrophic processes and influences of age apolipoprotein E (APOE) on trajectory are still unclear. By mapping nonlinear whole cerebrum from amnestic mild cognitive impairment (aMCI) to AD based longitudinal structural magnetic resonance imaging data Neuroimaging Initiative (ADNI) database, we unraveled a quadratic accelerated 68 regions aMCI AD, especially in superior...
Abstract Background and Hypothesis Multisite massive schizophrenia neuroimaging data sharing is becoming critical in understanding the pathophysiological mechanism making an objective diagnosis of schizophrenia; it remains challenging to obtain a generalizable interpretable, shareable, evolvable biomarker for diagnosis. Study Design A Morphometric Integrated Classification Index (MICI) was proposed as potential based on structural magnetic resonance imaging 1270 subjects from 10 sites (588...
Objective Although extensive structural and functional abnormalities have been reported in schizophrenia, the gray matter volume (GMV) covariance of amygdala remain unknown. The contains several subregions with different connection patterns functions, but it is unclear whether GMV these are selectively affected schizophrenia. Methods To address this issue, we compared each subregion between 807 schizophrenia patients 845 healthy controls from 11 centers. was segmented into nine using...
Objective: The increasing prevalence of mental health issues among university students has prompted a growing recognition physical education (PE) as critical factor in promoting both and well-being. While existing research highlights the positive effects activity on fitness stress alleviation, there remains lack systematic understanding underlying mechanisms through which influences students’ health. This study aims to explore how can enhance multidimensional educational model, considering...