A5056789916- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Acupuncture Treatment Research Studies
- Psychosomatic Disorders and Their Treatments
- Gastrointestinal motility and disorders
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Migraine and Headache Studies
- Eating Disorders and Behaviors
- Diet and metabolism studies
- EEG and Brain-Computer Interfaces
- Heart Rate Variability and Autonomic Control
- Neural and Behavioral Psychology Studies
- Regulation of Appetite and Obesity
- Traditional Chinese Medicine Studies
- Pain Management and Placebo Effect
- Biochemical Analysis and Sensing Techniques
- Mental Health Research Topics
- Bariatric Surgery and Outcomes
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Impact of Technology on Adolescents
- Neurotransmitter Receptor Influence on Behavior
- Music Therapy and Health
- Dementia and Cognitive Impairment Research
Xidian University
2015-2024
Ministry of Education of the People's Republic of China
2015-2024
Bridge University
2021
Safe Work Australia
2021
University of Florida
2008-2017
University of Alabama at Birmingham
2014
Affiliated Hospital of Hangzhou Normal University
2014
Air Force Medical University
2013
421 Hospital of PLA
2013
National Natural Science Foundation of China
2013
Background Recent studies suggest that internet addiction disorder (IAD) is associated with structural abnormalities in brain gray matter. However, few have investigated the effects of on microstructural integrity major neuronal fiber pathways, and almost no assessed changes duration addiction. Methodology/Principal Findings We morphology adolescents IAD (N = 18) using an optimized voxel-based morphometry (VBM) technique, studied white matter fractional anisotropy (FA) diffusion tensor...
An algorithm for license plate recognition (LPR) applied to the intelligent transportation system is proposed on basis of a novel shadow removal technique and character algorithms. This paper has two major contributions. One contribution new binary method, i.e., which based improved Bernsen combined with Gaussian filter. Our second known as support vector machine (SVM) integration. In SVM integration, features are extracted from elastic mesh, entire address string taken object study, opposed...
Previous studies have defined low-frequency, spatially consistent intrinsic connectivity networks (ICN) in resting functional magnetic resonance imaging (fMRI) data which reflect interactions among distinct brain areas. We sought to explore whether and how repeated migraine attacks influence connectivity, as well activity these correlates with clinical indicators of migraine.
Migraine is a primary headache disorder characterized by recurrent attacks of throbbing pain associated with neurological, gastrointestinal and autonomic symptoms. Previous studies have detected structural deficits functional impairments in migraine patients. However, researchers failed to investigate the connectivity alterations regions during resting state. Twenty‐one patients without aura 21 age‐ gender‐matched healthy controls participated our study. Voxel‐based morphometric (VBM)...
Online gaming addiction, as the most popular subtype of Internet had gained more and attention from whole world. However, structural differences in cortical thickness brain between adolescents with online addiction healthy controls are not well unknown; neither was its association impaired cognitive control ability. High-resolution magnetic resonance imaging scans late adolescence (n = 18) age-, education- gender-matched were acquired. The measurement method employed to investigate...
Modeling and learning of brain activity patterns represent a huge challenge to the brain-computer interface (BCI) based on electroencephalography (EEG). Many existing methods estimate uncorrelated instantaneous demixing EEG signals classify multiclass motor imagery (MI). However, condition uncorrelation does not hold true in practice, because regions work with partial or complete collaboration. This proposes novel method, termed as common Bayesian network (CBN), discriminate MI signals....
Background Diffusion tensor imaging (DTI) study revealed reduced fractional anisotropy (FA) values in the corpus callosum (CC) migraine patients without aura. Abnormalities white matter integrity, particularly CC, may affect inter-hemispheric resting state functional connectivity (RSFC). Unfortunately, relatively little is known about alterations interactions between cerebral hemispheres during aura, and even less how RSFC are affected by abnormalities of CC. Methods findings Twenty-one aura...
Background Little is known about the changes of brain structural and functional connectivity networks underlying pathophysiology in migraine. We aimed to investigate how cortical network reorganization altered by frequent overstimulation associated with Methodology/Principal Findings Gray matter volumes resting-state magnetic resonance imaging signal correlations were employed construct between regions 43 female patients migraine (PM) gender-matched healthy controls (HC) using graph...
Although previous resting‐state studies have reported abnormal functional cerebral changes in patients with migraine without aura (MwoA), few focused on alterations both regional spontaneous neuronal activity and corresponding brain circuits MwoA during rest. Eighteen 18 age‐ gender‐matched healthy controls (HC) were recruited the current study. Baseline investigated using amplitude of low‐frequency fluctuation (ALFF) region interest (ROI)‐based connectivity (FC) analyses. Compared HC,...
Depression and obesity have high concurrence within individuals, which may be explained by sharing the same risk factors, including disruption of intestinal microbiota.However, evidence that delineated causal connections is extremely scarce.Methods: Mice lacking fat mass-and obesity-associated gene (Fto) were generated.Fto-deficient wild-type control mice subjected to novel conditions with or without chronic unpredictable mild stress (CUMS) for 6 weeks.Some treated antibiotics via their...
Background: Recently, increasing evidence has indicated that the primary acupuncture effects are mediated by central nervous system. However, specific brain networks underpinning these remain unclear. Results: In present study using fMRI, we employed a within-condition interregional covariance analysis method to investigate functional connectivity of involved in acupuncture. The fMRI experiment was performed before, during and after manipulations on healthy volunteers at an point, which...
Previous studies have provided evidence of structural and task‐related functional changes in the brains patients with migraine without aura. Resting‐state brain activity provides clues to pathophysiology disease. However, few focused on resting‐state abnormalities In current study, we employed a data‐driven method, regional homogeneity (ReHo), analyze local features spontaneous aura during resting state. Twenty‐six 26 age‐, education‐ gender‐matched healthy volunteers participated this...
Abstract When studying the neural responses to acupuncture with a block‐designed paradigm, its temporal dynamics predicted by general linear model (GLM) conforms typical “on‐off” variations during limited period of experiment manipulation. Despite lack direct evidence associating psychophysiological response, numerous clinical reports suggest that can provide pain relief beyond needling session. Therefore, GLM analysis may be insensitive or inappropriate for identifying altered resulting...
Multiple diffusion tensor imaging (DTI) derived indices may help to deduce the pathophysiological type of white matter (WM) changes and provide more specific biomarkers WM neuropathology in whole brain migraine patients without aura (MWoA).Twenty MWoA 20 age-, education- gender-matched healthy volunteers participated this study. Tract-based spatial statistics (TBSS) was employed investigate abnormalities by integrating multiple indices, including fractional anisotropy (FA), mean diffusivity...
Background Acupuncture has been commonly used for preventing migraine attacks and relieving pain during a migraine, although there is limited knowledge on the physiological mechanism behind this method. The objectives of study were to compare differences in brain activities evoked by active acupoints inactive investigate possible correlation between clinical variables responses. Methods Results A randomized controlled trial resting-state functional magnetic resonance imaging (fMRI)...
We used resting-state functional magnetic resonance imaging (fMRI) to investigate changes in the thalamus connectivity early and late stages of amnestic mild cognitive impairment. Data 25 impairment (LMCI) patients, 30 (EMCI) patients well-matched healthy controls (HC) were analyzed from Alzheimer's disease Neuroimaging Initiative (ADNI). focused on correlation between low frequency fMRI signal fluctuations those all other brain regions. Compared controls, we found left/right a set areas was...
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...