A5100324379- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- vaccines and immunoinformatics approaches
- Attention Deficit Hyperactivity Disorder
- Advanced MRI Techniques and Applications
- Machine Learning in Bioinformatics
- Insect and Pesticide Research
- Plant and animal studies
- RNA and protein synthesis mechanisms
- Monoclonal and Polyclonal Antibodies Research
- SARS-CoV-2 and COVID-19 Research
- Insect and Arachnid Ecology and Behavior
- Influenza Virus Research Studies
- Psychosomatic Disorders and Their Treatments
- Neurological disorders and treatments
- Bacteriophages and microbial interactions
- Genetics and Neurodevelopmental Disorders
- Antimicrobial Peptides and Activities
- Amyotrophic Lateral Sclerosis Research
- Heart Rate Variability and Autonomic Control
- Bee Products Chemical Analysis
Guizhou University
2018-2024
Guiyang Medical University
2020-2024
Nanjing Medical University
2021-2024
Wuxi People's Hospital
2024
Beijing University of Chinese Medicine
2024
Shandong University of Traditional Chinese Medicine
2024
Chongqing Academy of Animal Science
2021-2023
University of Electronic Science and Technology of China
2014-2022
The University of Texas Southwestern Medical Center
2020-2022
State Key Laboratory of Respiratory Disease
2022
Autism spectrum disorder (ASD) is a neurodevelopmental condition associated with altered brain connectivity. Previous neuroimaging research demonstrates inconsistent results, particularly in studies of functional connectivity ASD. Typically, these findings are results using static measures resting-state Recent work has demonstrated that connections dynamic, suggesting metrics fail to capture nuanced time-varying properties the brain. Here we used dynamic approach examine differences strength...
Abstract Neural circuit dysfunction underlies the biological mechanisms of suicidal ideation (SI). However, little is known about how brain's “dynome” differentiate between depressed patients with and without SI. This study included ( n = 48) SI, SI (NSI), healthy controls (HC, 30). All participants underwent resting‐state functional magnetic resonance imaging. We constructed dynamic static connectomics on 200 nodes using a sliding window full‐length time–series correlations, respectively....
Abstract Benign epilepsy with centrotemporal spikes (BECTS) is characterized by abnormal (static) functional interactions among cortical and subcortical regions, regardless of the active or chronic epileptic state. However, human brain connectivity dynamic associated ongoing rhythmic activity. The (dFC) distinct striato–cortical circuitry without interictal epileptiform discharges (IEDs) are poorly understood in BECTS. Herein, we captured pattern dFC using sliding window correlation putamen...
Time-invariant resting-state functional connectivity studies have illuminated the crucial role of right anterior insula (rAI) in prominent social impairments autism spectrum disorder (ASD). However, a recent dynamic study demonstrated that rather than being stationary, patterns rAI vary significantly across time. The present aimed to explore differences states between individuals with ASD and typically developing controls (TD). Resting-state magnetic resonance imaging data obtained from...
Accumulating neuroimaging evidence suggests that abnormal functional connectivity of the default mode network (DMN) contributes to social‐cognitive deficits autism spectrum disorder (ASD). Although most previous studies relied on conventional methods, which assume patterns remain constant over time, understanding temporal dynamics during rest may provide new insights into dysfunction DMN in ASD. In this work, dynamic analysis based sliding time window correlation was applied resting‐state...
Autism spectrum disorder (ASD) is a neurodevelopmental with considerable neuroanatomical heterogeneity. Thus, how and to what extent the brains of individuals ASD differ from each other still unclear. In this study, brain structural MRI data 356 right-handed, male subjects 403 right-handed healthy controls were selected Brain Image Data Exchange database (age range 5-35 years old). Voxel-based morphometry preprocessing steps conducted compute gray matter volume maps for subject. Individual...
Autism spectrum disorder (ASD) is a neurodevelopmental characterized by atypical functional integration of brain regions. The vast majority neuroimaging studies ASD have focused on older children, adolescents, and adults with the disorder. Very little work has explored whole‐brain connectivity young children ASD. Here, we collected resting‐state magnetic resonance imaging data from 58 (mean age 4.98 years; 29 ASD; matched healthy controls [HC]). All were under sedation during scanning. A...
Emerging evidence has associated autism spectrum disorder (ASD) with static functional connectivity abnormalities between multiple brain regions. However, the temporal dynamics of intra- and interhemispheric patterns remain unknown in ASD. Resting-state magnetic resonance imaging data were analyzed for 105 ASD 102 demographically matched typically developing control (TC) children (age range: 7-12 years) available from Autism Brain Imaging Data Exchange database. Whole-brain was decomposed...
Abstract Autism spectrum disorder (ASD) is marked by atypical trajectory of brain maturation, yet the developmental abnormalities in function remain unclear. The current study examined effect age on amplitude low-frequency fluctuations (ALFF) ASD and typical controls (TC) using a cross-sectional design. We classified all participants into three cohorts: child (<11 years, 18ASD/20TC), adolescent (11–18 28ASD/26TC) adult (≥18 18ASD/18TC). Two-way analysis variance (ANOVA) was performed to...
Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis clinical features. The extent to which they share common neural substrates remains unclear. Resting‐state fMRI data were collected from 35 drug‐naïve adolescent participants with first‐episode schizophrenia (15.6 ± 1.8 years old) 31 healthy controls (15.4 1.6 old). Data 22 ASD (13.1 3.1 21 (12.9 2.9 downloaded the Autism Brain Imaging Exchange. functional...
Background: Patients with ulcerative colitis (UC) usually display cognitive impairments, such as memory loss, attention deficits, and declining executive functions, particularly during the active stage of disease. However, potential neurological mechanisms these symptoms remain unclear. Method: Forty-one patients mildly to moderately UC, well 42 matched healthy controls, were recruited for an examination using psychological scales, function tests resting-state functional magnetic resonance...
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,...
This study aims to investigate the neurostructural foundations of human personality in young adults. High-resolution structural T1-weighted MR images 71 healthy individuals were processed using voxel-based morphometric (VBM) approach. Multiple regression analyses performed identify associations between traits and gray matter volume (GMV). The Eysenck Personality Questionnaire-Revised, Short Scale for Chinese was chosen assess traits. scale includes four dimensions, namely, extraversion,...
Abstract Aberrant topological organization of brain connectomes underlies pathological mechanisms in major depressive disorder (MDD). However, accumulating evidence has only focused on functional gray-matter, ignoring information white-matter (WM) that been confirmed to have reliable and stable organizations. The present study aimed characterize the pattern disruptions MDD from a new perspective—WM connectome organization. A case-control, cross-sectional resting-state magnetic resonance...
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 Since 2019, the novel coronavirus (SARS-COV-2) disease (COVID-19) has caused a worldwide epidemic. Anti-coronavirus peptides (ACovPs), type of antimicrobial (AMPs), have demonstrated excellent inhibitory effects on coronaviruses. However, state-of-the-art AMP databases contain only small number ACovPs. Additionally, fields these are not uniform, and units or evaluation standards same field inconsistent. Most included target domains ACovPs description in vitro vivo assays to measure...