A5041611955- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Bipolar Disorder and Treatment
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Heart Rate Variability and Autonomic Control
- Child and Adolescent Psychosocial and Emotional Development
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Neural and Behavioral Psychology Studies
- Treatment of Major Depression
- Child Abuse and Trauma
- Maternal Mental Health During Pregnancy and Postpartum
- Electroconvulsive Therapy Studies
- Diverse Academic Research Analysis
- Regulation of Appetite and Obesity
- Advanced Image Fusion Techniques
- Autism Spectrum Disorder Research
- Memory and Neural Mechanisms
- Fault Detection and Control Systems
- Genetic Associations and Epidemiology
- Distributed and Parallel Computing Systems
- Online Learning and Analytics
- Transcranial Magnetic Stimulation Studies
Zhengzhou University
2021-2025
Hebei University of Science and Technology
2015-2021
University of Electronic Science and Technology of China
2015-2020
Previous neuroimaging studies have mainly focused on alterations of static and dynamic functional connectivity in patients with generalized anxiety disorder (GAD). However, the characteristics local brain activity over time GAD are poorly understood. This study aimed to investigate abnormal time-varying by using amplitude low-frequency fluctuation (ALFF) method combined sliding-window approach. Group comparison results showed that compared healthy controls (HCs), exhibited increased ALFF...
Multifaceted evidence has shown that psychiatric disorders share common neurobiological mechanisms. However, the tremendous inter-individual heterogeneity among patients with limits trans-diagnostic studies case-control designs, aimed at identifying clinically promising neuroimaging biomarkers. This study aims to identify neuroanatomical differential factors (ND factors) underlying gray matter volume variations in five disorders. We leverage 4 independent datasets of 878 diagnosed and 585...
Abstract Childhood maltreatment (CM) confers a great risk of maladaptive development outcomes later in life, however, the neurobiological mechanism underlying this vulnerability is still unclear. The present study aimed to investigate long‐term consequences CM on neural connectivity while controlling for psychiatric conditions, medication, and, substance abuse. A sample including adults with ( n = 40) and without 50) completed Trauma Questionnaire (CTQ), personality questionnaires,...
Abstract Evidence has indicated abnormalities of thalamo-cortical functional connectivity (FC) in bipolar disorder during a depressive episode (BDD) and major (MDD). However, the dynamic FC (dFC) within this system is poorly understood. We explored dFC pattern by dividing thalamus into 16 subregions combining with sliding-window approach. Correlation analysis was performed between altered variability clinical data. Classification linear support vector machine model conducted. Compared...
Abstract The amygdala plays a key role in emotion processing. Its functional connectivity with other brain regions has been extensively demonstrated to be associated extraversion and neuroticism. However, how the affects is affected by others within these patterns neuroticism remains unclear. To address this issue, we investigated effective of using Granger causality analysis on resting-state magnetic resonance imaging data 70 participants. Results showed that was positively correlated...
Objective: Bipolar disorder in the depressive phase (BDd) may be misdiagnosed as major (MDD), resulting poor treatment outcomes. To identify biomarkers distinguishing BDd from MDD is of substantial clinical significance. This study aimed to characterize specific alterations intrinsic functional connectivity (FC) patterns and by combining whole-brain static dynamic FC. Methods: A total 40 38 patients, 50 age-, sex-, education-, handedness-matched healthy controls (HCs) were included this...
Abstract Childhood maltreatment (CM) has a long impact on physical and mental health of children. However, the neural underpinnings CM are still unclear. In this study, we aimed to establish associations between functional connectome large‐scale brain networks influences evaluated through Trauma Questionnaire (CTQ) at individual level based resting‐state magnetic resonance imaging data 215 adults. A novel mapping approach was employed identify subject‐specific network connectivities (FNCs)....
Abstract Several neuroimaging studies have examined cerebral function in patients who suffer from aphasia, but the mechanism underlying this disorder remains poorly understood. In study, we alterations local regional and remote interregional network functions aphasia combined with amplitude of low-frequency fluctuations functional connectivity (FC) using resting-state magnetic resonance imaging. A total 17 post-stroke aphasic patients, all having suffered a stroke left hemisphere, as well 20...
Most previous studies regarding social anxiety disorder (SAD) have focused on the role of emotional dysfunction, while impairments in self- and theory mind (ToM)-processing relatively been neglected. This study utilised functional connectivity density (FCD), resting-state (RSFC) discriminant analyses to investigate ToM-related networks patients with SAD. Patients SAD exhibited decreased long-range FCD right rostral anterior cingulate cortex (rACC) short-range superior temporal gyrus...
Personality dimension extraversion describes individual differences in social behaviour and socio-emotional functioning. The intrinsic functional connectivity patterns of the brain are reportedly associated with extraversion. However, whether or not is hubs warrants clarification. Functional involved rapid integration neural processing, their dysfunction contributes to development neuropsychiatric disorders. In this study, we employed density (FCD) method for first time distinguish...
Vast data in the higher education system are used to analyse and evaluate teaching quality, so that key factors affect quality of can be predicted. Besides, learner’s personalized behaviour also become source for result prediction. This paper proposes a decision tree model by taking statistical analysis results learn-er’s as inputs. was based on improved C4.5 algorithm, which FAYYAD boundary point theorem effectively reducing computation time most threshold. In this iterative mechanism...