A5018644308- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Blind Source Separation Techniques
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Epilepsy research and treatment
- Neural and Behavioral Psychology Studies
- Neural Networks and Applications
- Mental Health Research Topics
- Advanced Memory and Neural Computing
- Neuroscience and Music Perception
- Muscle activation and electromyography studies
- Neurological disorders and treatments
- Photoreceptor and optogenetics research
- Visual perception and processing mechanisms
- stochastic dynamics and bifurcation
- Complex Systems and Time Series Analysis
- Privacy-Preserving Technologies in Data
- Sleep and Wakefulness Research
- Face and Expression Recognition
- Image and Signal Denoising Methods
- Sparse and Compressive Sensing Techniques
University of Electronic Science and Technology of China
2016-2025
Zhengzhou University
2020-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2020-2025
Huazhong University of Science and Technology
2013-2025
Shanghai Center for Brain Science and Brain-Inspired Technology
2019-2024
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
2021-2024
Tongji University
2024
Hainan Medical University
2021-2023
Xinxiang Medical University
2023
Tsinghua University
2021
Dysfunctional default mode network (DMN) has been observed in various mental disorders, including epilepsy (see review Broyd et al. [2009]: Neurosci Biobehav Rev 33:279–296). Because interictal epileptic discharges may affect DMN, resting-state fMRI was used this study to determine DMN functional connectivity 14 healthy controls and 12 absence patients. To avoid discharge effects, testing performed within durations when there were no discharges. Cross-correlation analysis with seed at...
Accurately decoding motor imagery (MI) brain-computer interface (BCI) tasks has remained a challenge for both neuroscience research and clinical diagnosis. Unfortunately, less subject information low signal-to-noise ratio of MI electroencephalography (EEG) signals make it difficult to decode the movement intentions users. In this study, we proposed an end-to-end deep learning model, multi-branch spectral-temporal convolutional neural network with channel attention LightGBM model...
Brain-computer interface (BCI) is to provide a communication channel that translates human intention reflected by brain signal such as electroencephalogram (EEG) into control for an output device. In recent years, the event-related desynchronization (ERD) and movement-related potentials (MRPs) are utilized important features in motor related BCI system, common spatial patterns (CSP) algorithm has shown be very useful ERD-based classification. However, MRPs slow nonoscillatory EEG potential...
Abstract The basal ganglia, a brain structure related to motor control, is implicated in the modulation of epileptic discharges generalization patients with idiopathic generalized epilepsy (IGE). Using group independent component analysis (ICA) on resting‐state fMRI data, this study identified resting state functional network that predominantly consisted ganglia both healthy controls and IGE. In order gain better understanding network(BGN) IGE patients, we compared BGN connectivity either...
Motor imagery-based brain-computer interface (MI-BCI) systems hold promise in motor function rehabilitation and assistance for impaired people. But the ability to operate an MI-BCI varies across subjects, which becomes a substantial problem practical BCI applications beyond laboratory.Several previous studies have demonstrated that individual performance is related resting state of brain. In this study, we further investigate offline variations through perspective resting-state...
Neuroimaging studies have documented that ageing can disrupt certain higher cognitive systems such as the default mode network (DMN), salience (SN) and central executive (CEN). The effect of training on remains unclear. This study used a one-year longitudinal design to explore three networks in healthy older adults. community-living adults were divided into two groups: multi-domain group (24 sessions over three-month period) wait-list control group. All subjects underwent measurements...
P300 is an important event-related potential that can be elicited by external visual, auditory, and somatosensory stimuli. Various cognition-related brain functions (i.e., attention, intelligence, working memory) multiple regions prefrontal, frontal, parietal) are reported to involved in the elicitation of P300. However, these studies do not investigate instant interactions across neural cortices from hierarchy milliseconds. Importantly, time-varying network analysis among uncover detailed...
Abstract The P3 is an important event-related potential that can be used to identify neural activity related the cognitive processes of human brain. However, relationships, especially functional correlations, between resting-state brain and have not been well established. In this study, we investigated relationships properties (i.e., amplitude latency) networks. results indicated was significantly correlated with network topology in general, larger amplitudes could evoked when more...
Schizophrenia is thought as a self-disorder with dysfunctional brain connectivity. This often attributed to high-order cognitive impairment. Yet due the frequent report of sensorial and perceptual deficits, it has been hypothesized that in schizophrenia communication between sensory processes. To further verify this assumption, present study comprehensively examined dynamic reconfigurations resting-state functional connectivity (rsFC) at voxel level, region network levels (102 patients vs....
Motor imagery (MI) requires subjects to visualize the requested motor behaviors, which involves a large-scale network that spans multiple brain areas. The corresponding cortical activity reflected on scalp is characterized by event-related desynchronization (ERD) and then synchronization (ERS). However, mechanisms account for dynamic information processing of MI during ERD ERS periods remain unknown. Here, we combined ERD/ERS analysis with networks in different stages (i.e. preparation, ERS)...
Purpose To investigate the temporal and causal relationships of structural changes in brain patients with schizophrenia. Materials Methods T1-weighted magnetic resonance (MR) images 97 schizophrenia (29 women; mean ± standard deviation age, 41 years 11.5; range, 16-66 years; illness duration, 16.3 10.9; 0-50 years) 126 age- sex-matched (38 14.9; 18-68 42 women) healthy control subjects were evaluated. The network covariance was used to assess This accomplished by applying Granger causality...
Schizophrenia is a syndrome that typically accompanied by delusions and hallucinations might be associated with insular pathology. Music intervention, as complementary therapy, commonly used to improve psychiatric symptoms in the maintenance stage of schizophrenia. In this study, we employed longitudinal design assess effects listening Mozart music on functional connectivity (FC) patients Thirty-six schizophrenia were randomly divided into two equal groups follows: intervention (MTSZ) group,...
Fast-spiking (FS) interneurons in the brain are self-innervated by powerful inhibitory GABAergic autaptic connections. By computational modelling, we investigate how inhibition regulates firing response of such interneurons. Our results indicate that both boosts current threshold for action potential generation and modulates input-output gain FS The transmission delay is identified as a key parameter controls patterns determines multistability regions Furthermore, observe neuronal noise...
Abstract Our understanding of cerebellar involvement in brain disorders has evolved from motor processing to high-level cognitive and affective processing. Recent neuroscience progress highlighted hierarchy as a fundamental principle for the organization. Despite substantial research on dysfunction schizophrenia, there is need establish neurobiological framework better understand co-occurrence interaction low- functional abnormalities cerebellum schizophrenia. To help such framework, we...
Schizophrenia has been primarily conceptualized as a disorder of high-order cognitive functions with deficits in executive brain regions. Yet due to the increasing reports early sensory processing deficit, recent models focus more on developmental effects impaired process functions. The present study examined whether this pathological interaction relates an overarching system-level imbalance, specifically disruption macroscale hierarchy affecting integration and segregation unimodal...
Delta activity on electroencephalogram (EEG) is considered a biomarker of homeostatic sleep drive. power often associated with duration and intensity. Here, we reviewed the literature to explore how quality was influenced by changes in delta power. However, found that both decrease increase could indicate higher due various factors below. First, differences patients whose lower than healthy controls may be related different diseases they suffered from. We mainly from borderline personality...
The fast growth of pre-trained models (PTMs) has brought natural language processing to a new era, which become dominant technique for various (NLP) applications. Every user can download the weights PTMs, then fine-tune task on local side. However, pre-training model relies heavily accessing large-scale training data and requires vast amount computing resources. These strict requirements make it impossible any single client pre-train such model. To grant clients with limited capability...
Abstract The outbreak of COVID‐19 coronavirus disease around the end 2019 has become a pandemic. preferred method for detection is real‐time polymerase chain reaction (RT‐PCR)‐based technique; however, it also certain limitations, such as sample‐dependent procedures with relatively high false negative ratio. We propose safe and efficient screening based on Raman spectroscopy. A total 177 serum samples are collected from 63 confirmed patients, 59 suspected cases, 55 healthy individuals...