A5101897195- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Neural dynamics and brain function
- Glioma Diagnosis and Treatment
- Advanced Image Processing Techniques
- EEG and Brain-Computer Interfaces
- Bone Tumor Diagnosis and Treatments
- Spinal Dysraphism and Malformations
- Endometrial and Cervical Cancer Treatments
- Image and Signal Denoising Methods
- Ovarian cancer diagnosis and treatment
- Sarcoma Diagnosis and Treatment
- RNA modifications and cancer
- Cell Image Analysis Techniques
- Traumatic Brain Injury Research
- Epigenetics and DNA Methylation
- Cerebral Palsy and Movement Disorders
- Advanced Vision and Imaging
- Data Management and Algorithms
- Neuroscience and Neural Engineering
- Automated Road and Building Extraction
- Spinal Fractures and Fixation Techniques
- Generative Adversarial Networks and Image Synthesis
Huanghuai University
2024
First Affiliated Hospital of Xi'an Jiaotong University
2013-2023
Tianjin Medical University Cancer Institute and Hospital
2021-2023
Shanghai Institute of Technology
2022
National Clinical Research Center for Digestive Diseases
2022
Innovation Team (China)
2022
Soochow University
2021
Technical University of Munich
2020
Xi'an Jiaotong University
2014-2020
South China Normal University
2017-2019
Major depressive disorder (MDD) and bipolar (BD) are common severe affective diseases. Although previous neuroimaging studies have investigated brain abnormalities in MDD or BD, the structural functional differences between these two disorders remain unclear. In this study, we adopted a multimodal approach, combining voxel-based morphometry (VBM) connectivity (FC), to study distinct alterations unmedicated BD patients. The VBM analysis revealed that both patients showed decreased gray matter...
Objective: Internet gaming disorder (IGD) has been investigated by many behavioral and neuroimaging studies, for it became one of the main behavior disorders among adolescents. However, few studies focused on relationship between alteration gray matter volume (GMV) cognitive control feature in IGD Methods: Twenty-eight participants with IAD twenty-eight healthy age gender matched controls participated study. Brain morphology adolescents was using an optimized voxel-based morphometry (VBM)...
Sleep deprivation (SD) adversely affects brain function and is accompanied by frequency dependent changes in EEG. Recent studies have suggested that BOLD fluctuations pertain to a spatiotemporal organization with different frequencies. The present study aimed investigate the frequency-dependent SD-related oscillatory activity using amplitude of low-frequency fluctuation (ALFF) analysis. ALFF were measured across frequencies (Slow-4: 0.027–0.073 Hz; Slow-5: 0.01–0.027 Typical band: 0.01–0.08...
Abstract The default mode network (DMN) is a complex dynamic that critical for understanding cognitive function. However, whether topological reconfiguration of the DMN occurs across different brain states, and this potential reorganization associated with prior learning or experience unclear. To better understand temporally changing topology DMN, we investigated both nodal global DMN-topology metrics states. We found changes over time those patterns are Further, organization can be rebuilt...
Abstract Invasive micropapillary carcinoma (IMPC) is a special histological subtype of breast cancer, featured with extremely high rates lymphovascular invasion and lymph node metastasis. Based on previous series studies, our team proposed the hypothesis “clustered metastasis IMPC tumor cells”. However, transcriptomics characteristics underlying its are unknown, especially in spatial (ST). In this paper, we perform ST sequencing four freshly frozen samples. We draw transcriptomic maps for...
Abstract Resting‐state fMRI has shown the ability to predict task activation on an individual basis by using a general linear model (GLM) map resting‐state network features z ‐scores. The question remains whether relatively simplistic GLM is best approach accomplish this prediction. In study, several regression‐based machine‐learning approaches were compared, including GLMs, feed‐forward neural networks, and random forest bootstrap aggregation (bagging). data from 350 Human Connectome...
Abstract Background Although increasing evidence showed the correlations between white matter hyperintensities (WMHs) and cognitive impairment, relationship them is still modest. Many researchers began to focus on variation caused by heterogeneity of WMH. We tried explore pathological in WMH using diffusion tensor imaging (DTI), so as provide a new insight into future research. Methods Diffusion weighted images (DWIs) brain were acquired from 73 patients with 18 healthy controls, which then...
Background Diffusion-weighted imaging (DWI) provides useful information for the identification of benign and malignant uterine lesions. However, use apparent diffusion coefficient (ADC) histopathological grading endometrial cancer is controversial. Purpose To explore ADC values in differentiating preoperative tumor endometrioid adenocarcinomas investigate relationship between histological subtype. Material Methods We retrospectively evaluated 98 patients with cancers, including both (n = 80)...
Brain plasticity is often associated with the process of slow-growing tumor formation, which remodels neural organization and optimizes brain network function. In this study, we aimed to investigate whether motor function would display deficits in patients tumors located or near areas, but who were without neurological deficits. We used resting-state functional magnetic resonance imaging probe networks 15 histopathologically confirmed gliomas age-matched healthy controls. All subjects...
Conflicting findings have been reported regarding the lateralized brain abnormality in patients with amyotrophic lateral sclerosis (ALS). In this study, we aimed to investigate probable lateralization of gray matter (GM) atrophy ALS patients. We focused on relationship between asymmetry decreased GM volume and side disease onset limb-onset. Structural imaging evaluation normalized (SIENAX) voxel-based morphometry (VBM) were used assess differences global local regions heterogeneous body...
Demyelination and axonal degeneration caused by multiple sclerosis (MS) exist in the white matter not only lesion area. Magnetic resonance spectroscopy (MRS) could provide a unique insight into metabolic changes normal appearing (NAWM). To evaluate subtle delineate spatial distribution of metabolite abnormalities NAWM patients with MS. A total 17 clinically definite relapsing-remitting MS (RRMS) 21 healthy controls were enrolled this study. 2D 1H magnetic spectroscopic imaging (MRSI)...
Noninvasive preoperative prediction of histological grading is essential for clinical management cerebral glioma.This study aimed to investigate the association between image quality assessment 1H magnetic resonance spectroscopy and accurate glioma.98 glioma patients confirmed by pathology were retrospectively recruited in this single-center study. All underwent 1H-MRS examination at 3.0T before surgery. According WHO standards, all cases divided into two groups: low-grade (grade I II, 48...
To identify the optimal factors in diffusion tensor imaging for predicting corticospinal tract (CST) injury caused by brain tumors. This prospective study included 33 patients with motor weakness and 64 normal function. The movement of CST, minimum distance between CST tumor, relative fractional anisotropy (rFA) on imaging, were compared Logistic regression analysis was used to obtain factor weakness. In weakness, displacement (8.44 ± 6.64 mm) (p = 0.009), (3.98 7.49 tumor < 0.001), rFA...
Nonglioblastomatous diffuse glioma (non-GDG) is a heterogeneous neuroepithelial tumor that exhibits varied survival range from 4 to 13 years based on the diverse subtypes. Recent studies demonstrated novel molecular markers can predict prognosis for non-GDG patients; however, these findings as well pathological classification strategies show obvious limitations malignant transition due heterogeneity among non-GDGs. Therefore, developing reliable prognostic biomarkers and therapeutic targets...
<b><i>Objective:</i></b> To investigate the consistency of diffusion tensor tractography corticospinal tract<b> </b>on motor function. <b><i>Clinical Presentations and Intervention:</i></b> Three patients with brain tumor were admitted to our hospital impaired Diffusion imaging (DTI) performed in these assess their affected tract. The tract showed interruption moderately function 2 patients. third case had significantly weakened...