A5088197448- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Protein Hydrolysis and Bioactive Peptides
- Meat and Animal Product Quality
- Heart Rate Variability and Autonomic Control
- Animal Nutrition and Physiology
- Neural Networks and Applications
Zhejiang University
2022-2025
The human brain connectome has long been recognized as a crucial component for various cognitive functions. While connectome-based prediction modeling (CPM) extensively explored predicting behavior outcomes at the individual-level, its application to electroencephalogram (EEG) remains limited due inherent diversity and complexity of EEG frequency information. In present work, we aim address this issue by developing filter bank CPM (FBCPM) framework that leverages narrowband functional...
Although consistent evidence has revealed that cognitive impairment is a common sequela in patients with mild stroke, few studies have focused on it, nor the impact of lesion location function. Evidence neural mechanisms underlying effects stroke and function limited. This prompted us to conduct comprehensive quantitative study functional brain network properties different locations. Specifically, an empirical approach was introduced present work explore stroke-induced alterations...
Taihe black-boned silky fowl (TS) is a native chicken breed in China with more than 2000 years of history. The present study aimed to characterize and evaluate the physical, nutritional, flavor properties TS eggs comparison two other commercial breeds. Eggs from (n = 60) crossbred (CB, n Hy-line Brown (HL, were used for physicochemical analysis. evaluation system was divided into four parts based on nutrient profiles: protein amino acids, lipids fatty mineral elements, flavor-related acids...
Although convergent evidence has shown that patients with mild stroke (MS) are commonly accompanied by post-stroke cognitive and/or memory impairment, only disproportionate attention was paid compared to severe stroke. To promote management for early intervention in MS-related a feasible and convenient method MS detection is, therefore, favorable. A data-driven classification framework combined quantitative graph theoretical analysis introduced this work, aiming provide comprehensive...
Accumulating efforts have been made to investigate cognitive impairment in stroke patients, but little has focused on mild stroke. Research the impact of and different lesion locations is still limited. To underlying mechanisms dysfunction at locations, electroencephalograms (EEGs) were recorded three groups (40 patients with cortical (CS), 40 subcortical (SS), healthy controls (HC)) during a visual oddball task. Power envelope connectivity (PEC) was constructed based EEG source signals,...
Source imaging of Electroencephalography (EEG) and Magnetoencephalography (MEG) provides a noninvasive way monitoring brain activities with high spatial temporal resolution. In order to address this highly ill-posed problem, conventional source models adopted spatio-temporal constraints that assume stability the activities, neglecting transient characteristics M/EEG. work, novel method μ-STAR includes microstate analysis Bayesian model was introduced problem. Specifically, applied achieve...
Recently, accumulating studies have reported brain functional abnormalities in patients with post-stroke dementia (PSD). Nonetheless, our understanding about neural mechanisms of PSD the perspective connectivity alternations is still rudimentary. Here, we applied graph theory to investigate network from resting-state fMRI data 14 patients, 15 non-dementia (PSND) and healthy subjects normal cognitive function (NC). Five global metrics [clustering coefficient, characteristic path length,...