A5077133951- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Mental Health Research Topics
- Advanced MRI Techniques and Applications
- Obsessive-Compulsive Spectrum Disorders
- Autism Spectrum Disorder Research
- Treatment of Major Depression
- Neuroscience and Neuropharmacology Research
- Neural and Behavioral Psychology Studies
- Heart Rate Variability and Autonomic Control
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Impact of Technology on Adolescents
- Neurotransmitter Receptor Influence on Behavior
- Attention Deficit Hyperactivity Disorder
- Tryptophan and brain disorders
- Neuroscience and Music Perception
- Epilepsy research and treatment
- Nicotinic Acetylcholine Receptors Study
- EEG and Brain-Computer Interfaces
- Schizophrenia research and treatment
- Eating Disorders and Behaviors
- Neurological disorders and treatments
- Optical Imaging and Spectroscopy Techniques
- Bipolar Disorder and Treatment
First Affiliated Hospital of Zhengzhou University
2020-2025
Beijing Municipal Ecological and Environmental Monitoring Center
2022-2025
High Magnetic Field Laboratory
2024
Imagerie et Cerveau
2023
Zhengzhou University
2023
Brain (Germany)
2023
University of Electronic Science and Technology of China
2015-2021
Southwest Hospital
2020
Army Medical University
2020
New Jersey Institute of Technology
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...
Abstract The clinical misdiagnosis ratio of bipolar disorder (BD) patients to major depressive (MDD) is high. Recent findings hypothesize that the ability flexibly recruit functional neural networks differently altered in BD and MDD patients. This study aimed explore distinct aberrance network flexibility during dynamic configuration Resting state magnetic resonance imaging 40 patients, 61 matched healthy controls were recruited. Dynamic connectivity matrices for each subject constructed...
Abstract Background As a neuroprogressive illness, depression is accompanied by brain structural abnormality that extends to many regions. However, the progressive alteration pattern remains unknown. Methods To elaborate of according illness duration, we recruited 195 never-treated first-episode patients with and 130 healthy controls (HCs) undergoing T1-weighted MRI scans. Voxel-based morphometry method was adopted measure gray matter volume (GMV) for each participant. Patients were first...
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...
Background: The findings of many neuroimaging studies in patients with first-episode major depressive disorder (MDD), and even those previous meta-analysis, are divergent. To quantitatively integrate these studies, we performed a meta-analysis gray matter volumes using voxel-based morphometry (VBM). Methods: We comprehensive literature search for relevant traced the references up to May 1, 2021 select VBM between MDD healthy controls (HC). A quantitative on was Seed-based d Mapping...
Abstract Neurobiological heterogeneity in obsessive compulsive disorder (OCD) is understudied leading to conflicting neuroimaging findings. Therefore, we investigated objective neuroanatomical subtypes of OCD by adopting a newly proposed method based on gray matter volumes (GMVs). GMVs were derived from T1‐weighted anatomical images patients with ( n = 100) and matched healthy controls (HCs; 106). We first inquired whether presented higher interindividual variability HCs terms GMVs. Then,...
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: Major depressive disorder (MDD) can be characterized as a multidimensional and system-level disorder. The neuropathophysiological abnormalities have been reported to distributed in emotion regulation system, involving the prefrontal cortex (PFC), limbic striatum convergent studies. Decrease of positive affect increase negative are recognized hallmark MDD. However, dysfunctions affective processing MDD within system remains largely unclear. In this study, our goals characterize...
Abstract Dynamic functional connectivity (DFC) analysis can capture time‐varying properties of connectivity. However, studies on large samples using DFC to investigate transdiagnostic dysconnectivity across schizophrenia (SZ), bipolar disorder (BD), and major depressive (MDD) are rare. In this study, we used resting‐state magnetic resonance imaging a sliding‐window method study in total 610 individuals (150 with SZ, 100 BD, 150 MDD, 210 healthy controls [HC]) at single site. Using k‐means...
Background: Patients with Internet gaming disorder (IGD) and attention-deficit/hyperactivity (ADHD) have high comorbidity but it is still unknown whether these disorders shared distinctive neuroimage alterations. Objective: The aim of this meta-analysis was to identify disorder-specific structural, functional, multimodal abnormalities between IGD ADHD. Methods: A systematic literature search conducted for whole-brain voxel-based morphometry (VBM) functional magnetic resonance imaging (fMRI)...
Abstract Depression associated with structural brain abnormalities is hypothesized to be related accelerated aging. However, there far from a unified conclusion because of clinical variations such as medication status, cumulative illness burden. To explore whether age in never‐treated first‐episode patients depression and its association characteristics, we constructed prediction model where gray matter volumes measured by voxel‐based morphometry derived T1‐weighted MRI scans were treated...
Abstract Background The high heterogeneity of obsessive–compulsive disorder (OCD) denies attempts traditional case–control studies to derive neuroimaging biomarkers indicative precision diagnosis and treatment. Methods To handle the heterogeneity, we uncovered subject-level altered structural covariance by adopting individualized differential network (IDSCN) analysis. IDSCN measures how edges in a patient deviated from those matched healthy controls (HCs) yielding edges. One hundred patients...
Abstract Background Elucidating individual aberrance is a critical first step toward precision medicine for heterogeneous disorders such as depression. The neuropathology of depression related to abnormal inter-regional structural covariance indicating brain maturational disruption. However, most studies focus on group-level and ignore the interindividual heterogeneity. For that reason, we aimed identify individualized with help differential network (IDSCN) analysis. Methods T1-weighted...
Abstract The high inter-individual heterogeneity in individuals with depression limits neuroimaging studies case-control approaches to identify promising biomarkers for individualized clinical decision-making. We put forward a framework integrating the normative model and non-negative matrix factorization (NMF) quantitatively assess altered gray matter morphology from dimensional perspective. proposed parses into overlapping latent disease factors, assigns patients distinct factor...
Obsessive-compulsive disorder (OCD) is a highly heterogeneous disorder, with notable variations among cases in structural brain abnormalities. To address this heterogeneity, our study aimed to delineate OCD subtypes based on individualized gray matter morphological differences. We recruited 100 untreated, first-episode patients and 106 healthy controls for imaging scans. Utilizing normative models of volume, we identified individual Sensitivity analyses were conducted validate the...