A5108770014- Functional Brain Connectivity Studies
- Optical Systems and Laser Technology
- Mental Health Research Topics
- Bipolar Disorder and Treatment
- Advanced Neuroimaging Techniques and Applications
- Astronomical Observations and Instrumentation
- EEG and Brain-Computer Interfaces
- Inertial Sensor and Navigation
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Advanced Measurement and Detection Methods
- Solar Radiation and Photovoltaics
- Advanced optical system design
- Advanced Sensor and Control Systems
- solar cell performance optimization
- Solar Thermal and Photovoltaic Systems
- Photovoltaic System Optimization Techniques
- Advanced Measurement and Metrology Techniques
- Treatment of Major Depression
- Stress Responses and Cortisol
- Schizophrenia research and treatment
- Psychosomatic Disorders and Their Treatments
- Tryptophan and brain disorders
- Hormonal Regulation and Hypertension
- Adaptive optics and wavefront sensing
Wuhan University
2021-2025
Wuhan University of Science and Technology
2020-2025
Renmin Hospital of Wuhan University
2021-2025
McGill University
2023-2025
Peking University
2024-2025
Peking University Sixth Hospital
2024-2025
Center for Life Sciences
2024
China Three Gorges University
2024
Second Hospital of Yichang
2024
Heilongjiang University of Chinese Medicine
2024
Objective: Major depressive disorder (MDD) is a psychiatric with serious negative health outcomes; however, there no reliable method of diagnosis. This study explored the clinical diagnostic value fractional amplitude low-frequency fluctuation (fALFF) based on support vector machine (SVM) for diagnosis MDD. Methods: A total 198 first-episode MDD patients and 234 healthy controls were involved in this study, all participants underwent resting-state functional magnetic resonance imaging (fMRI)...
Schizophrenia (SCH) is primarily diagnosed based on specific clinical symptoms, with the lack of any objective SCH-related biomarkers often resulting in patient misdiagnosis and underdiagnosis this condition. This study was developed to assess utility amplitude low-frequency fluctuation (ALFF) values analyzed via support vector machine (SVM) methods as a means diagnosing SCH.In total, 131 SCH patients 128 age- gender-matched healthy control (HC) individuals underwent resting-state functional...
Mild cognitive impairment (MCI) is a heterogeneous syndrome characterized by on neurocognitive tests but accompanied relatively intact daily activities. Due to high variation and no objective methods for diagnosing treating MCI, guidance neuroimaging needed. The study has explored the biomarkers using support vector machine (SVM) method predict MCI.In total, 53 patients with MCI 68 healthy controls were involved in scanning resting-state functional magnetic resonance imaging (rs-fMRI)....
BACKGROUND Major depressive disorder (MDD) with comorbid anxiety is an intricate psychiatric condition, but limited research available on the degree centrality (DC) between anxious MDD and nonanxious patients. AIM To examine changes in DC values their use as neuroimaging biomarkers non-anxious METHODS We examined 23 patients, 30 28 healthy controls (HCs) using for data analysis. RESULTS Compared HCs, group reported markedly reduced right fusiform gyrus (FFG) inferior occipital gyrus, whereas...
The Coronavirus has infected up to 900 million people as of 11 Jan 2023 in China Mainland, which is more than 60% the population. sudden and unprecedented nature pandemic resulted a range psychosomatic issues among These can manifest variety ways it important address these they have serious consequences for individuals' mental physical health. lifting lockdown measures presents an opportunity provide support those who been affected.
Previous studies have revealed abnormal degree centrality (DC) in the structural and functional networks brains of patients with major depressive disorder (MDD). There are no existing reports on DC analysis method combined support vector machine (SVM) to distinguish MDD from healthy controls (HCs). Here, researchers elucidated variations values brain regions provided imaging bases for clinical diagnosis.Patients (N = 198) HCs (n 234) were scanned using resting-state magnetic resonance...
Objective Misdiagnosis and missed diagnosis of migraine are common in clinical practice. Currently, the pathophysiological mechanism is not completely known, its imaging pathological has rarely been reported. In this study, functional magnetic resonance (fMRI) technology combined with a support vector machine (SVM) was employed to study improve diagnostic accuracy migraine. Methods We randomly recruited 28 patients from Taihe Hospital. addition, 27 healthy controls were through...
Previous studies have revealed the frontoparietal network (FPN) plays a key role in imaging pathophysiology of bipolar disorder (BD). However, homogeneity (NH) FPN among mania (BipM), remitted (rBD), and healthy controls (HCs) remains unknown. The present study aimed to explore whether NH within can be used as an biomarker differentiate BipM from rBD predict treatment efficacy for patients with BipM.Sixty-six BD (38 28 rBD) 60 HCs participated resting-state functional magnetic resonance...
While patients affected by mild cognitive impairment (MCI) exhibit characteristic voxel-mirrored homotopic connectivity (VMHC) alterations, the ability of such VMHC abnormalities to predict diagnosis MCI in these remains uncertain. As such, this study was performed evaluate potential role MCI.
Background and Objective: The default mode network (DMN) may be an important component involved in the broad-scale cognitive problems seen patients with first-episode treatment-naive depression. Nevertheless, information is scarce regarding changes homogeneity (NH) found DMN of these patients. Therefore, this study, we explored NH Methods: study included 66 74 control participants matched by age, gender, educational level health status who underwent resting-state functional magnetic...
Objectives. It is a high risk for adolescents with first-episode major depressive disorder (MDD) to commit suicide. However, few studies reported the effect of modified electroconvulsive therapy (MECT) in antipsychotic-naive MDD adolescents. Methods. The study explores alternations regional homogeneity treat disorder. 72 patients were recruited from Tianyou Hospital Affiliated Wuhan University Science and Technology October 2017 May 2020, 65 completed trial. Results. Before MECT treatment,...
Default-mode network (DMN) plays a key role in broad-scale cognitive problem, which occurs temporal lobe epilepsy (TLE). However, little is known about the alterations of homogeneity (NH) DMN TLE. In present study, we employed NH method to investigate TLE at rest. A total 47 patients with (right [rTLE] 29, and left [lTLE] 18) 35 healthy controls who underwent resting-state functional magnetic resonance imaging were enrolled. approach was used analyze data. rTLE exhibited decreased right...
Background Depression in adolescents is more heterogeneous and less often diagnosed than depression adults. At present, reliable approaches to differentiating between who are not affected by lacking. This study was designed assess voxel-level whole-brain functional connectivity changes associated with adolescent an effort define imaging-based biomarker this condition. Materials methods In total, 71 major depressive disorder (MDD) age-, sex-, education level-matched healthy controls were...
Patients with temporal lobe epilepsy (TLE) often suffer from alertness alterations. However, specific regions connected remain controversial, and whether these have structural impairment is also elusive. This study aimed to investigate the characteristics neural mechanisms underlying functions structures of network in patients right-sided (rTLE) by performing attentional test (ANT), resting-state functional magnetic resonance imaging (R-SfMRI), diffusion tensor (DTI). A total 47 rTLE 34...