Yan‐Song Liu
A5114860677- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Neural and Behavioral Psychology Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Tryptophan and brain disorders
- Vagus Nerve Stimulation Research
- Anesthesia and Neurotoxicity Research
- Remote Sensing and LiDAR Applications
- Brain Tumor Detection and Classification
- Higher Education and Teaching Methods
- Advanced Neural Network Applications
- Stress Responses and Cortisol
- Thermoregulation and physiological responses
- Optical Imaging and Spectroscopy Techniques
- Education and Work Dynamics
- Medical Image Segmentation Techniques
- Transcranial Magnetic Stimulation Studies
- Ectopic Pregnancy Diagnosis and Management
- 3D Surveying and Cultural Heritage
- Ocular and Laser Science Research
- Photoreceptor and optogenetics research
- Safety and Risk Management
Nanjing University
2024-2025
Institute of Oceanology
2024
Chinese Academy of Sciences
2024
Dalian Minzu University
2022-2024
Soochow University
2018-2024
Suzhou Guangji Hospital
2018-2024
Nanchang Hangkong University
2022-2023
Beihang University
2023
Chengdu University of Technology
2008-2022
Xinjiang University
2022
Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power data analysis approaches varied widely. The REST-meta-MDD Project resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups China established the Consortium by contributing R-fMRI from 1,300 patients with 1,128 normal controls (NCs). Data were preprocessed locally a standardized...
Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed characterize using a large multi-site sample novel network-based approach. Resting-state magnetic resonance imaging (fMRI) data were acquired from total 460 473 healthy controls, as part REST-meta-MDD consortium. networks constructed for each subject...
Major depressive disorder (MDD) is heterogeneous associated with aberrant functional connectivity within the default mode network (DMN). This study focused on data-driven identification and validation of potential DMN-pattern-based MDD subtypes to parse heterogeneity disorder. The sample comprised 1397 participants including 690 patients 707 healthy controls (HC) registered from multiple sites based REST-meta-MDD Project in China. Baseline resting-state magnetic resonance imaging (rs-fMRI)...
Abstract Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with standardized pipeline across all participating sites, has been first effort from DIRECT. In this...
Landslide susceptibility evaluation is critical for landslide prevention and risk management. Based on the slope unit, this study uses information value method- random forest (IV-RF) model to evaluate in deep valley area. First, based historical data, a inventory was developed by using remote sensing technology (InSAR optical sensing) field investigation methods. Twelve factors were then selected as input data model. Second, units with different scales obtained r.slopeunits method used...
Major depressive disorder (MDD) is a globally prevalent and highly disabling disease characterized by dysfunction of large-scale brain networks. Previous studies have found that static functional connectivity not sufficient to reflect the complicated time-varying properties brain. The underlying dynamic interactions between networks MDD remain largely unknown, it also unclear whether neuroimaging-based are sufficiently robust discriminate individuals with from healthy controls since...
Abstract Background Alcohol dependence is a mental disorder with high relapse rate. However, specific neuroimaging biomarkers have not been determined for alcohol and its relapse. We conducted data-driven research to investigate resting-state functional magnetic resonance imaging (rs-fMRI) during early abstinence from potential ability predict Methods Participants included 68 alcohol-dependent patients healthy controls (HCs). The regional homogeneity (ReHo) fractional amplitude of...
This study aimed to investigate the risk factors related failure of initial combined local methotrexate (MTX) treatment and minimally invasive surgery for late cesarean scar pregnancy (CSP). retrospective case-control was conducted between January 2016 December 2023, involving patients with CSP (≥ 8 weeks) who received MTX injection either hysteroscopic or laparoscopic surgery. Cesarean classified as type I, II, III based on direction growth gestational sac residual myometrial thickness...
Parametric edge reconstruction for point cloud data is a fundamental problem in computer graphics. Existing methods first classify points as either (including corners) or non-edge points, and then fit parametric edges to the points. However, few are exactly sampled on practical scenarios, leading significant fitting errors reconstructed edges. Prominent deep learning-based also primarily emphasize overlooking potential of areas. Given that sparse non-uniform cannot provide adequate...
Interleukin-18 (IL-18) may participate in the development of major depressive disorder, but specific mechanism remains unclear. This study aimed to explore whether IL-18 correlates with areas brain associated depression.
Abstract Rumination is closely linked to the onset and maintenance of major depressive disorder (MDD). Prior neuroimaging studies have identified association between self‐reported rumination trait functional coupling among a network brain regions using resting‐state magnetic resonance imaging (MRI). However, little known about underlying neural circuitry mechanism during active in MDD. Degree centrality (DC) simple metric denote integration, which critical for higher‐order psychological...
Abstract Growing evidence indicated that single nucleotide polymorphisms (SNPs) in the apolipoprotein E ( APOE ) gene are related to increase risk of many inflammatory-related diseases. However, few genetic studies have associated polymorphism with sepsis. This study was investigate clinical relevance onset and progression A multicenter case–control association a large sample size (601 septic patients 699 healthy individuals) conducted. Clinical data showed APOEε4 allele overrepresented...
Background: Alcohol dependence (AD) is a chronic recurrent brain disease that causes heavy burden worldwide, partly due to high relapse rates after detoxification. Verified biomarkers are not available for AD and its relapse, although the nucleus accumbens (NAc) medial prefrontal cortex (mPFC) may play important roles in mechanism of addiction. This study investigated AD- relapse-associated functional connectivity (FC) NAc mPFC with other regions during early abstinence. Methods: Sixty-eight...
Recently, functional homotopy (FH) architecture, defined as robust connectivity (FC) between homotopic regions, has been frequently reported to be altered in MDD patients (MDDs) but with divergent locations.In this study, we obtained resting-state magnetic resonance imaging (R-fMRI) data from 1004 MDDs (mean age, 33.88 years; age range, 18-60 years) and 898 matched healthy controls (HCs) an aggregated dataset 20 centers China. We focused on interhemispheric function integration its...
Background: The subgenual anterior cingulate cortex (sgACC) plays a central role in the pathophysiology of major depressive disorder (MDD), and its functional interactive profile with left dorsal lateral prefrontal (DLPFC) is associated transcranial magnetic stimulation (TMS) treatment outcomes. Nevertheless, previous research on sgACC connectivity (FC) MDD has yielded inconsistent results, partly due to small sample sizes limited statistical power. Furthermore, calculating sgACC-FC target...
Spontaneous thought is a universal, complex, and heterogeneous cognitive activity that significantly impacts mental strongly correlates with disorders.