- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neural dynamics and brain function
- Transcranial Magnetic Stimulation Studies
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Cervical and Thoracic Myelopathy
- Spinal Dysraphism and Malformations
- Mental Health Research Topics
- Photodynamic Therapy Research Studies
- Stuttering Research and Treatment
- Heart Rate Variability and Autonomic Control
- Genetic Neurodegenerative Diseases
- Voice and Speech Disorders
- Endometrial and Cervical Cancer Treatments
- Medical Imaging and Analysis
- Botulinum Toxin and Related Neurological Disorders
- Multisensory perception and integration
- Nanoplatforms for cancer theranostics
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Olfactory and Sensory Function Studies
- Dysphagia Assessment and Management
Guangzhou Medical University
2016-2023
Guangzhou First People's Hospital
2016-2023
South China University of Technology
2019-2023
Jiangmen Central Hospital
2020
As one of the most common diseases, major depressive disorder (MDD) has a significant adverse impact on li patients. mild form depression, subclinical depression (SD) serves as an indicator progression to MDD. This study analyzed degree centrality (DC) for MDD, SD, and healthy control (HC) groups identified brain regions with DC alterations.The experimental data were composed resting-state functional magnetic resonance imaging (rs-fMRI) from 40 HCs, MDD subjects, 34 SD subjects. After...
Abnormal functional connectivity (FC) at rest has been identified in clinical depressive disorder. However, very few studies have conducted to understand the underlying neural substrates of subclinical depression. The newly proposed centrality analysis approach increasingly used explore large-scale brain network mental diseases. This study aimed identify degree (DC) alteration subjects. Thirty-seven candidates with depression and 34 well-matched healthy controls (HCs) were recruited from...
Objective: This study aimed to explore alterations in the topological properties of functional brain network primary Parkinson's disease (PD) patients with freezing gait (PD-FOG). Methods: Resting-state magnetic resonance imaging (Rs-fMRI) data were obtained 23 PD-FOG patients, 33 PD without FOG (PD-nFOG), and 24 healthy control (HC) participants. The whole-brain connectome was constructed by thresholding Pearson correlation matrices 90 regions, analyzed using graph theory approaches....
Previous studies reported abnormal spontaneous neural activity in Parkinson’s disease (PD) patients using resting-state functional magnetic resonance imaging (R-fMRI). However, the frequency-dependent PD is largely unknown. Here, 35 and age- education-matched healthy controls (HCs) underwent R-fMRI scanning to investigate of amplitude low-frequency fluctuation (ALFF) approach within conventional band (typical band: 0.01–0.08 Hz) specific frequency bands (slow-5: 0.010–0.027 Hz slow-4:...
Early detection of Parkinson's disease (PD) patients at high risk for mild cognitive impairment (MCI) can help with timely intervention. White matter structural connectivity is considered an early and sensitive indicator neurodegenerative disease. To investigate whether baseline white features from diffusion tensor imaging (DTI) de novo PD predict PD-MCI conversion individual level using machine learning methods. We included 90 who underwent DTI 3D T1-weighted imaging. Elastic net-based...
The purposes of this study are to investigate the regional homogeneity (ReHo) spontaneous brain activities in Parkinson's disease (PD) patients with freeze gait (FOG) and neural correlation movement function through resting-state functional magnetic resonance imaging (RS-fMRI).A total 35 normal controls (NC), 33 PD FOG (FOG+), without (FOG-) were enrolled. ReHo was applied evaluate synchronization activities. Analysis covariance (ANCOVA) performed on maps three groups, followed by post hoc...
Background: Abnormalities of cognitive and movement functions are widely reported in Parkinson's disease (PD). The mechanisms therein complicated assumed to a coordination various brain regions. This study explored the alterations global synchronizations activities investigated neural correlations function PD patients. Methods: Age-match 35 patients with normal controls (NC) were enrolled resting-state functional magnetic resonance imaging (fMRI) scanning. Degree centrality (DC) calculated...
Abstract Background Major depressive disorder (MDD) is a common cause of disability and morbidity, affecting about 10% the population worldwide. Subclinical depression (SD) can be understood as precursor MDD, therefore provides an MDD risk indicator. The pathogenesis SD in humans still unclear, current diagnosis lacks accurate biomarkers gold standards. Methods A total 40 34 SD, healthy control (HC) participants matched by age, gender, education were included this study. Resting-state...
Freezing of gait (FOG) has devastating consequences for patients with Parkinson's disease (PD), but the underlying pathophysiological mechanism is unclear. This was investigated in present study by integrated structural and functional connectivity analyses PD or without FOG (PD FOG+ FOG–, respectively) healthy control (HC) subjects. We performed resting-state magnetic resonance imaging (fMRI) diffusion tensor 24 patients, 37 FOG– HCs. Tract-based spatial statistics applied to identify white...
Freezing of gait (FOG) in Parkinson's disease (PD) leads to devastating consequences; however, little is known about its functional brain network. We explored the differences degree centrality (DC) networks among PD with FOG (PD FOG+), without FOG-), and healthy control (HC) groups. In all, 24 FOG+, 37 FOG-, 22 HCs were recruited their resting-state magnetic imaging images acquired. The whole network was analyzed using graph theory analysis. DC compared groups two-sample t-test. values...
Background . Freezing of gait (FOG) is a disabling disorder influencing patients with Parkinson’s disease (PD). Accumulating evidence suggests that FOG related to the functional alterations within brain networks. We investigated changes in resting-state connectivity (FC) PD (FOG+) and without (FOG-). Methods Resting-state magnetic resonance imaging (RS-fMRI) data were collected from 55 (25 FOG+ 30 FOG-) 26 matched healthy controls (HC). Differences intranetwork between FOG+, FOG-, HC...
Freezing of gait (FOG) greatly impacts the daily life patients with Parkinson's disease (PD). However, predictors FOG in early PD are limited. Moreover, recent neuroimaging evidence cerebral morphological alterations is heterogeneous. We aimed to develop a model that could predict occurrence using machine learning, collaborating clinical, laboratory, and structural imaging information drug-naïve investigate morphology PD. Data from 73 healthy controls (HCs) 158 at baseline were obtained...
Theta burst stimulation (TBS) is a powerful variant of repetitive transcranial magnetic (rTMS), making it potentially useful for the treatment swallowing disorders. However, how dose TBS modulate human cortical excitability remains unclear. Here, we aim to measure after-effects spontaneous brain activity at resting-state using regional homogeneity (ReHo) approach in healthy subjects who underwent different protocols over suprahyoid muscle cortex. Sixty (23.45 +/- 2.73 years, 30 males) were...
Contralateral intermittent theta burst stimulation (iTBS) can potentially improve swallowing disorders with unilateral lesion of the cortex. However, after-effects iTBS on brain excitability remain largely unknown. Here, we investigated alterations temporal dynamics inter-regional connectivity induced by following continuous TBS (cTBS) in contralateral suprahyoid muscle A total 20 right-handed healthy subjects underwent cTBS over left motor cortex and then immediately afterward, was applied...
Theta-burst stimulation (TBS), a variant of repetitive transcranial magnetic (rTMS), can potentially benefit the treatment swallowing disorders. However, after-effects TBS on motor cortex remain uncertain. The newly developed graph-based analysis centrality approach has been increasingly used to explore brain networks. purpose this study was identify degree (DC) alterations in network after different protocols were performed over suprahyoid muscles healthy subjects. A total 40 right-handed...
Diffusion tensor imaging (DTI) studies have investigated white matter (WM) integrity abnormalities in Parkinson's disease (PD). However, little is known about the topological changes brain network. This study aims to reveal these by comparing PD without freezing of gait (FOG) (PD FOG-), with FOG FOG+), and healthy control (HC).21 FOG+, 34 FOG-, 23 HC were recruited, DTI images acquired. The graph theoretical analysis network-based statistical method used calculate parameters assess...
To explore alterations in white matter network topology de novo Parkinson's disease (PD) patients with rapid eye movement sleep behavior disorder (RBD). This study included 171 PD and 73 healthy controls (HC) recruited from the Progression Markers Initiative (PPMI) database. The were divided into two groups, probable RBD (PD-pRBD, n = 74) without (PD-npRBD, N 97), according to screening questionnaire (RBDSQ). Individual structural of brain was constructed based on deterministic fiber...
Background: Freezing of gait (FoG) is a disabling disorder that commonly occurs in advanced stages Parkinson's disease (PD). The neuroanatomical mechanisms underlying FoG PD are still unclear. present study aims to explore alterations structural gray matter (GM) patients with FoG. Method: Twenty-four (FoG+), 37 without (FoG-) and 24 healthy controls (HC) were included. All subjects underwent standardized MRI protocol. cortical thickness (CTh), segmentation volume ventricles...
We developed a model that could predict the occurrence of Freezing gait (FOG) at individual level using machine learning with clinical, laboratory, and cerebral structural imaging information early drug-naïve Parkinson’s disease (PD) patients. Data from 158 PD patients baseline were obtained Progression Markers Initiative cohort. The predictive performance future FOG in was evaluated elastic net-support vector models. T1WI morphometric markers have potential to help an level, improved when...