A5077760321- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Neural dynamics and brain function
- Sleep and related disorders
- Mental Health Research Topics
- Blind Source Separation Techniques
- Neural and Behavioral Psychology Studies
- Heart Rate Variability and Autonomic Control
- Sleep and Work-Related Fatigue
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Circadian rhythm and melatonin
- Memory and Neural Mechanisms
- Advanced MRI Techniques and Applications
- Mind wandering and attention
- Advanced Neuroimaging Techniques and Applications
- Eating Disorders and Behaviors
- Long-Term Effects of COVID-19
- COVID-19 and Mental Health
- Neuroscience and Neural Engineering
- Diet and metabolism studies
- COVID-19 Clinical Research Studies
- Face and Expression Recognition
- Artificial Immune Systems Applications
- Psychology of Moral and Emotional Judgment
Southwest University
2016-2025
Tianjin Third Central Hospital
2021-2025
Tianjin Medical University
2021-2025
United Imaging Healthcare (China)
2025
Ministry of Education of the People's Republic of China
2015-2024
Jiangsu University of Science and Technology
2011-2024
Shenzhen Polytechnic
2024
Institute of Psychology, Chinese Academy of Sciences
2023
University of Jinan
2023
Sichuan Normal University
2023
Future-oriented thought, a projection of the self into future to pre-experience an event, has been linked default mode network (DMN). Previous studies showed that DMN was generally divided two subsystems: anterior part (aDMN) and posterior (pDMN). The former is mostly related self-referential mental thought latter engages in episodic memory retrieval scene construction. However, functional contribution these subsystems connectivity between them during future-oriented rarely reported. Here,...
Recent developments in graph theory have heightened the need for investigating disruptions topological structure of functional brain network major depressive disorder (MDD). In this study, we employed resting-state magnetic resonance imaging (fMRI) and to examine whole-brain networks among 42 MDD patients healthy controls. Our results showed that compared with controls, higher local efficiency modularity. Furthermore, altered nodal centralities many regions, including hippocampus, temporal...
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...
Examining the spontaneous activity to understand neural mechanism of brain disorder is a focus in recent resting-state fMRI. In current study, investigate alteration functional connectivity partial epilepsy systematical way, two levels analyses (functional analysis within resting state networks (RSNs) and network (FNC) analysis) were carried out on fMRI data acquired from 30 participants including 14 healthy controls(HC) 16 patients. According etiology, all patients are subdivided into...
The influence of reference is a critical issue for the electroencephalography (EEG) and event-related potentials (ERPs) studies. However, previous investigations concentrated less on location source at systematic neuroscience level. Our goal was to examine EEG signal associated with locations from common network parcellation human brain function, offering system perspective reference. In our simulation, vertices uniformly distributed in eight large-scale networks were adopted generate scalp...
Objective: Increased anxiety in response to the COVID-19 pandemic has been widely noted. The purpose of this study was test whether prepandemic functional connectome predicted individual induced by pandemic. Methods: Anxiety scores from healthy undergraduate students were collected during severe and remission periods (first survey, February 22–28, 2020, N=589; second April 24 May 1, N=486). Brain imaging data baseline (daily) ratings acquired before predictive performance on examined using...
Abstract Virus-encoded circular RNA (circRNA) participates in the immune response to viral infection, affects human system, and can be used as a target for precision therapy tumor biomarker. The coronaviruses SARS-CoV-1 SARS-CoV-2 (SARS-CoV-1/2) that have emerged recent years are highly contagious high mortality rates. In coronaviruses, little is known about circRNA encoded by SARS-CoV-1/2. Therefore, this study explores whether SARS-CoV-1/2 encodes characteristics functions of circRNA....
Abstract To investigate the impact of sleep deprivation (SD) on mood, alertness, and resting-state electroencephalogram (EEG), we present an eyes-open EEG dataset. The dataset comprises recordings cognitive data from 71 participants undergoing two testing sessions: one involving SD other normal sleep. In each session, engaged in EEG. Psychomotor Vigilance Task (PVT) was employed for alertness measurement. Emotional sleepiness were measured using Positive Negative Affect Scale (PANAS)...
An extensive body of literature has indicated that there is increased activity in the frontoparietal control network (FPC) and decreased default mode (DMN) during working memory (WM) tasks. The FPC DMN operate a competitive relationship tasks requiring externally directed attention. However, association between this FPC-DMN competition performance social WM rarely been reported previous studies. To investigate question, we measured connectivity resting state two emotional face recognition...
How do people limit awareness of unwanted memories? When such memories intrude, a control process engages the right DLPFC (rDLPFC) to inhibit hippocampal activity and stop retrieval. It remains unknown how need for is detected, whether operates proactively prevent unwelcome from being retrieved, or responds reactively, counteract intrusions. We hypothesized that dorsal ACC (dACC) detects emergence an trace in transmits inhibitory rDLPFC. During memory suppression task, we measured humans...
The brain exhibits temporally coherent networks (TCNs) involving numerous cortical and sub-cortical regions both during the rest state performance of cognitive tasks. TCNs represent interactions between different areas, understanding such may facilitate electroencephalography (EEG) source estimation. We propose a new method for examining using scalp EEG in conjunction with data obtained by functional magnetic resonance imaging (fMRI). In this approach, termed NEtwork based SOurce Imaging...
Current brain-computer interface (BCI) systems suffer from high complex feature selectors in comparison to simple classifiers. Meanwhile, neurophysiological and experimental information are hard be included these two separate phases. In this paper, based on the hierarchical observation model, we proposed an empirical Bayesian linear discriminant analysis (BLDA), which priors considered simultaneously; selection, weighted differently, classification performed jointly, thus it provides a novel...
Functional magnetic imaging (fMRI) studies showed that resting state activity in the healthy brain is organized into multiple large-scale networks encompassing distant regions.A key finding of fMRI anti-correlation typically observed between dorsal attention network (DAN) and default mode (DMN), which-during task performance-are activated deactivated, respectively.Previous have suggested alcohol administration modulates balance activation/deactivation networks, as well it induces significant...
K-means clustering algorithm is an effective method that has been proved for apply to the intrusion detection system. Particle swarm optimization (PSO) which evolutionary computation technology based on intelligence good global search ability. With deficiency of ability algorithm, we propose a particle (PSO-KM) in this paper. The proposed overcome falling into local minima and relatively overall convergence. Experiments data sets KDD CUP 99 shown effectiveness also shows higher rate lower false rate.
Investigations of fear conditioning in rodents and humans have illuminated the neural mechanisms acquisition extinction. However, mechanism memory consolidation is not well understood. To address this question, we measured brain activity changes functional connectivity following using resting-state magnetic resonance imaging. The amygdala-dorsal anterior cingulate cortex (dACC) hippocampus-insula were enhanced, whereas amygdala-medial prefrontal (mPFC) coupling was decreased during...
Inhibitory control hierarchically regulates cognitive and emotional systems in the service of adaptive goal-directed behavior across changing task demands environments. While previous studies convergently determined contribution prefrontal-striatal to general inhibitory control, findings on specific circuits that mediate context-specific impact remained inconclusive. Against this background we combined an evaluated Go/No Go with fMRI a large cohort subjects (N=250) segregate brain...