A5100416940- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- EEG and Brain-Computer Interfaces
- Tryptophan and brain disorders
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Electric Vehicles and Infrastructure
- CRISPR and Genetic Engineering
- Visual perception and processing mechanisms
- Sleep and related disorders
- Plant Disease Resistance and Genetics
- Multisensory perception and integration
- Chromosomal and Genetic Variations
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Tactile and Sensory Interactions
- Visual Attention and Saliency Detection
- Advanced MIMO Systems Optimization
- Vehicle emissions and performance
- Atomic and Subatomic Physics Research
- Health, Environment, Cognitive Aging
- Face Recognition and Perception
Zhejiang Lab
2025
Anhui Mental Health Center
2022-2025
Nanjing University
2024
National University of Singapore
2010-2024
Shanghai Jiao Tong University
2014-2024
Heinrich Heine University Düsseldorf
2022-2024
Düsseldorf University Hospital
2024
Forschungszentrum Jülich
2022-2024
Nanjing Brain Hospital
2024
Nanjing Drum Tower Hospital
2024
Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to delineate individual-specific brain networks. A major question is whether network topography (i.e., location and spatial arrangement) behaviorally relevant. Here, we propose a multi-session hierarchical Bayesian model (MS-HBM) for estimating cortical networks investigate can predict human behavior. The multiple layers of MS-HBM explicitly differentiate intra-subject (within-subject) from inter-subject...
Abstract Linking human behavior to resting-state brain function is a central question in systems neuroscience. In particular, the functional timescales at which different types of behavioral factors are encoded remain largely unexplored. The counterparts static connectivity (FC), resolution several minutes, have been studied but correlates dynamic measures FC few seconds unclear. Here, using fMRI and 58 phenotypic from Human Connectome Project, we find that captures task-based phenotypes...
BackgroundThere is considerable interest in a dimensional transdiagnostic approach to psychiatry. Most studies have derived factors based only on clinical symptoms, which might miss possible links between psychopathology, cognitive processes, and personality traits. Furthermore, many psychiatric focus higher-order association brain networks, thereby neglecting the potential influence of huge swaths brain.MethodsA multivariate data-driven (partial least squares) was used identify latent...
Major depressive disorder emerges from the complex interactions of biological systems that span genes and molecules through cells, networks, behavior. Establishing how neurobiological processes coalesce to contribute depression requires a multiscale approach, encompassing measures brain structure function as well genetic cell-specific transcriptional data. Here, we examine anatomical (cortical thickness) functional (functional variability, global connectivity) correlates negative affect...
Algorithmic biases that favor majority populations pose a key challenge to the application of machine learning for precision medicine. Here, we assessed such bias in prediction models behavioral phenotypes from brain functional magnetic resonance imaging. We examined using two independent datasets (preadolescent versus adult) mixed ethnic/racial composition. When predictive were trained on data dominated by white Americans (WA), out-of-sample errors generally higher African (AA) than WA....
A fundamental goal across the neurosciences is characterization of relationships linking brain anatomy, functioning, and behavior. Although various MRI modalities have been developed to probe these relationships, direct comparisons their ability predict behavior lacking. Here, we compared anatomical T1, diffusion functional (fMRI) at an individual level. Cortical thickness, area volume were extracted from T1 images. Diffusion Tensor Imaging (DTI) approximate Neurite Orientation Dispersion...
Abstract The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. biological relevance of the remains poorly understood. Applying principal component analysis large neuroimaging dataset, we found individual variation topography recapitulates well-established patterns large-scale brain networks. Using canonical correlation...
The brain exhibits substantial diurnal variation in physiology and function, but neuroscience studies rarely report or consider the effects of time day. Here, we examined resting-state functional MRI (fMRI) around 900 individuals scanned between 8 AM 10 PM on two different days. Multiple across animals humans have demonstrated that brain's global signal (GS) amplitude (henceforth referred to as "fluctuation") increases with decreased arousal. Thus, accord known circadian arousal,...
Abstract The results of most neuroimaging studies are reported in volumetric (e.g., MNI152) or surface fsaverage) coordinate systems. Accurate mappings between and systems can facilitate many applications, such as projecting fMRI group analyses from MNI152/Colin27 to fsaverage for visualization resting‐state parcellations analysis new data. However, there has been surprisingly little research on this topic. Here, we evaluated three approaches mapping data by simulating the above...
Abstract Background CTCF is a key insulator-binding protein, and mammalian genomes contain numerous sites, many of which are organized in tandem. Results Using CRISPR DNA-fragment editing, conjunction with chromosome conformation capture, we find that if located between enhancers promoters the protocadherin ( Pcdh ) β-globin clusters, function as an enhancer-blocking insulator by forming distinct directional chromatin loops, regardless whether sites or not. Moreover, computational simulation...
There is significant interest in using neuroimaging data to predict behavior. The predictive models are often interpreted by the computation of feature importance, which quantifies relevance an imaging feature. Tian and Zalesky (2021) suggest that importance estimates exhibit low split-half reliability, as well a trade-off between prediction accuracy reliability across parcellation resolutions. However, it unclear whether universal. Here, we demonstrate that, with sufficient sample size,...
The transcription factor ZNF143 contains a central domain of seven zinc fingers in tandem array and is involved 3D genome construction. However, the mechanism by which functions chromatin looping remains unclear. Here, we show that directionally recognizes diverse range genomic sites directly within enhancers promoters required for between these sites. In addition, located CTCF cohesin at numerous sites, removal narrows space cohesin. Moreover, genetic deletion ZNF143, conjunction with acute...
More and more evidence shows that infection immune abnormality are closely related to the increased severity of schizophrenia symptoms. This study aimed explore correlation between inflammatory cell counts, sleep quality, psychiatric symptoms in first-episode patients. A total 103 patients (patient group) admitted Anhui Provincial Mental Health Center from November 2021 August 2022 were included study, while 57 healthy individuals (control who met criteria recruited as subjects. The Positive...
Dear Editor,Genome editing has found applications in almost every field biology and medicine permeated many aspects of our society.In particular, the clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated nuclease 9 (Cas9) system-has been widely used genome because its convenience, simplicity, efficiency, low cost.It is generally thought that Cas9 cleavage generates blunt-ended double-strand breaks (DSBs) at 3 base pairs upstream (-3 bp) protospacer adjacent...
The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by composite framewise displacement (FD) score, regress models nuisance variables, and include average FD covariate group-level analyses. Here, we studied individual time courses at points typically retained fMRI We observed that even this set putatively clean...
The brain's functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting state. This fluctuation establishes dynamical that transitions non-random order between multiple modes. Yet it remains unexplored how transition facilitates entire brain network as system and what utility this mechanism for dynamic reconfiguration can bring widely used graph theoretical measurements. To address these questions, we propose to conduct an energetic...