A5050021521- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Advanced Neuroimaging Techniques and Applications
- Cerebrospinal fluid and hydrocephalus
- Heart Rate Variability and Autonomic Control
- Advanced MRI Techniques and Applications
- Traumatic Brain Injury Research
- Piezoelectric Actuators and Control
- Optical Coherence Tomography Applications
- Image Processing Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Dermatology and Skin Diseases
- Neonatal and fetal brain pathology
- Structural Health Monitoring Techniques
- Mental Health Research Topics
- Magnetic Properties and Applications
- Photoacoustic and Ultrasonic Imaging
- Urinary Bladder and Prostate Research
- Circadian rhythm and melatonin
- Video Surveillance and Tracking Methods
- Advanced Graph Neural Networks
- Sleep and Wakefulness Research
- Data Management and Algorithms
United Imaging Healthcare (China)
2024
Pennsylvania State University
2018-2023
Chinese University of Hong Kong, Shenzhen
2023
Shenzhen Research Institute of Big Data
2023
Huazhong University of Science and Technology
2017
The glymphatic system plays an important role in clearing the amyloid-β (Aβ) and tau proteins that are closely linked to Alzheimer disease (AD) pathology. Glymphatic clearance, as well Aβ accumulation, is highly dependent on sleep, but sleep-dependent driving forces behind cerebrospinal fluid (CSF) movements essential flux remain largely unclear. Recent studies have reported widespread, high-amplitude spontaneous brain activations drowsy state during which shown large global signal peaks...
The brain exhibits highly organized patterns of spontaneous activity as measured by resting-state functional magnetic resonance imaging (fMRI) fluctuations that are being widely used to assess the brain's connectivity. Some evidence suggests spatiotemporally coherent waves a core feature shapes connectivity, although this has been difficult establish using fMRI given temporal constraints hemodynamic signal. Here, we investigated structure in human and monkey electrocorticography. In both...
ABSTRACT Background Deposition and spreading of misfolded proteins (α‐synuclein tau) have been linked to Parkinson's disease cognitive dysfunction. The glymphatic system may play an important role in the clearance these toxic via cerebrospinal fluid (CSF) flow through perivascular interstitial spaces. Recent studies discovered that sleep‐dependent global brain activity is coupled CSF flow, which reflect function. Objective objective this current study was determine if decoupling activity–CSF...
Resting-state functional magnetic resonance imaging (rsfMRI) allows the study of brain connectivity based on spatially structured variations in neuronal activity. Proper evaluation requires removal non-neural contributions to fMRI signal, particular hemodynamic changes associated with autonomic variability. Regression analysis indicator signals has been used for this purpose, but may be inadequate if and activities covary. To investigate potential co-variation, we performed rsfMRI...
Here we describe a publicly available dataset titled "Simultaneous EEG and fMRI signals during sleep from humans" on the OpenNeuro platform. To investigate spontaneous brain activity across distinct states, electroencephalography (EEG) functional magnetic resonance imaging (fMRI) were simultaneously acquired 33 healthy participants (age: 22.1 ± 3.2 years; male/female: 17/16) resting state sleep. The consisted of two resting-state scanning sessions several for each participant. In addition,...
Given a network with the labels for subset of nodes, transductive node classification targets to predict remaining nodes in network. This technique has been used variety applications such as voxel functionality detection brain and group label prediction social Most existing approaches are performed static networks. However, many real-world networks dynamic evolve over time. The dynamics both attributes topology jointly determine labels. In this paper, we study problem classifying task is...
Abstract Correlations of resting-state functional magnetic resonance imaging (rsfMRI) signals are being widely used for assessing the brain connectivity in health and disease. However, an association was recently observed between rsfMRI modulations head motion parameters regarded as a causal relationship, which has raised serious concerns about validity many findings. Here, we studied origin this rsfMRI-motion its relationship to arousal modulations. By using template-matching method locate...
Resting-state functional magnetic resonance imaging (rsfMRI) is being widely used for charting brain connectivity and dynamics in healthy diseased brains. However, the resting state paradigm allows an unconstrained fluctuation of arousal, which may have profound effects on resting-state fMRI signals associated connectivity/dynamic metrics. Here, we review current understandings relationship between particular effect a recently discovered event arousal modulation fMRI. We further discuss...
OPINION article Front. Neurosci., 07 August 2019 | https://doi.org/10.3389/fnins.2019.00823
An essential task of neuroscience is to elucidate the relationship between brain activity, structure, and human behavior. This study aims understand this 3-way by studying population covariance resting-state functional connectivity, cortical thickness, behavioral/demographic measures in a large cohort individuals. Using data-driven canonical correlation analysis, we found that maximal pairwise correlations three modalities are approximately along same direction across subjects, which...
Abstract The brain exhibits highly organized patterns of spontaneous activity as measured by resting-state fMRI fluctuations that are being widely used to assess the brain’s functional connectivity. Some evidence suggests spatiotemporally coherent waves a core feature shapes connectivity, though this has been difficult establish using given temporal constraints hemodynamic signal. Here we investigated structure in human and monkey electrocorticography. In both species, found clear,...
Optical coherence tomography (OCT) images are severely degraded by speckle noise. Existing methods for despeckling multiframe OCT data cannot deliver sufficient suppression while preserving image details well. To address this problem, the spiking cortical model (SCM) based non-local means (NLM) method has been proposed in letter. In method, considered frame and two neighboring frames input into three SCMs to generate temporal series of pulse outputs. The normalized moment inertia (NMI)...
Abstract The glymphatic system plays an important role in clearing the amyloid-β and tau proteins that are closely linked to Alzheimer’s disease (AD) pathology. Glymphatic clearance, as well accumulation, is highly dependent on sleep, but sleep-dependent driving forces behind cerebrospinal fluid (CSF) movements essential flux remain largely unclear. Recent studies have reported widespread, high-amplitude spontaneous brain activations drowsy state during which shown large global signal peaks...
Despite the promising performance of current video segmentation models on existing benchmarks, these still struggle with complex scenes. In this paper, we introduce 6th Large-scale Video Object Segmentation (LSVOS) challenge in conjunction ECCV 2024 workshop. This year's includes two tasks: (VOS) and Referring (RVOS). year, replace classic YouTube-VOS YouTube-RVOS benchmark latest datasets MOSE, LVOS, MeViS to assess VOS under more challenging environments. attracted 129 registered teams...
Video object segmentation (VOS) is a crucial task in computer vision, but current VOS methods struggle with complex scenes and prolonged motions. To address these challenges, the MOSE dataset aims to enhance recognition differentiation environments, while LVOS focuses on segmenting objects exhibiting long-term, intricate movements. This report introduces discriminative spatial-temporal model that utilizes features as query representations. The semantic understanding of spatial-semantic...
Understanding the complex mechanism of human brain function requires innovative approaches that capture intricate interplay electrical, chemical, and hemodynamic activities. We developed PMEEN system, named for its concurrent integration PET, MRI, EEG, Eye Tracking, fNIRS modalities by successfully addressing electromagnetic gamma ray interference among these incorporation centralized clock control to allow simultaneous spatial registration temporal synchronization. Here we show enables...
Abstract Correlations of resting-state functional magnetic resonance imaging (rsfMRI) signals are being widely used for assessing brain connectivity in health and disease. However, an association was recently observed between rsfMRI modulations the head motion parameters regarded as a causal relationship, which has raised serious concerns about validity many findings. Here, we studied origin this rsfMRI-motion its relationship to arousal modulations. By using template-matching method locate...
Abstract Background Deposition and spreading of misfolded proteins (α-synuclein tau) have been linked to Parkinson’s cognitive dysfunction. The glymphatic system may play an important role in the clearance these toxic via cerebrospinal fluid (CSF) flow through perivascular interstitial spaces. Recent studies discovered that sleep-dependent global brain activity is coupled CSF reflect function. Objective To determine if decoupling activity-CSF Methods Functional structural MRI data, clinical...
Abstract Resting-state functional magnetic resonance imaging (rsfMRI) allows the study of brain connectivity based on spatially structured variations in neuronal activity. Proper evaluation requires removal non-neural contributions to fMRI signal, particular hemodynamic changes associated with autonomic variability. Regression analysis indicator signals has been used for this purpose, but may be inadequate if and activity covary. To investigate potential co-variation, we performed rsfMRI...
Abstract Alzheimer’s disease (AD) is the most common cause of dementia in old adult population. AD pathogenesis has been linked to aggregation toxic proteins, e.g., amyloid-β and tau. The glymphatic system may play an important role clearing out these proteins via cerebrospinal fluid (CSF) flows through perivascular interstitial spaces. Recent studies have suggested low-frequency (<0.1 Hz), sleep-dependent global blood-oxygenation-dependent-level (gBOLD; resting-state functional MRI...
Hysteresis system identification is a research topic in nonlinear of long history. This paper proposes novel recurrent neural network architecture to carry out hysteresis identification. We first modify the original Prandtl-Ishlinskii (PI) model with one threshold parameter PI two parameters, and then develop based on hybrid modified Preisach model. evaluate our proposed systems simulated by different models, explores potential networks for As shown numerical simulations, can achieve better...
Abstract We employed a data-driven canonical correlation analysis to investigate the population covariance of whole-brain cortical thickness, resting-state functional connectivity, and hundreds behavioral/demographic measures in large cohort individuals. found that maximal thickness-behavior connectivity-behavior are largely converged along same direction across subjects, which is characterized by very specific modulations all three modalities. Along this direction, individuals tend have...