A5014222735- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Genetic Neurodegenerative Diseases
- Memory and Neural Mechanisms
- EEG and Brain-Computer Interfaces
- Alzheimer's disease research and treatments
- Dementia and Cognitive Impairment Research
- Glioma Diagnosis and Treatment
- Neuroscience and Neuropharmacology Research
- Mental Health Research Topics
- Mitochondrial Function and Pathology
- Radiomics and Machine Learning in Medical Imaging
- Ion channel regulation and function
- Bioinformatics and Genomic Networks
- Neuroscience and Music Perception
- Photoreceptor and optogenetics research
- Health, Environment, Cognitive Aging
- Superconductivity in MgB2 and Alloys
- Magnetic Field Sensors Techniques
- Face recognition and analysis
- Single-cell and spatial transcriptomics
- Muscle Physiology and Disorders
- Neurological disorders and treatments
Harbin Institute of Technology
2016-2025
Zhejiang Cancer Hospital
2025
University of Chinese Academy of Sciences
2025
Wenzhou Medical University
2025
The University of Texas Southwestern Medical Center
2011-2022
National Institute on Drug Abuse
2013-2020
National Institutes of Health
2014-2020
University of Science and Technology Beijing
2007-2020
Huashan Hospital
2019
Fudan University
2019
Human brain functional networks contain a few densely connected hubs that play vital role in transferring information across regions during resting and task states. However, the relationship of these to measures physiology, such as regional cerebral blood flow (rCBF), remains incompletely understood. Here, we used MRI data blood-oxygenation-level–dependent arterial-spin–labeling perfusion contrasts investigate between connectivity strength (FCS) rCBF an N -back working-memory task. During...
The human brain is topologically organized into a set of spatially distributed, functionally specific networks. Of these networks, the default-mode network (DMN), executive-control (ECN), and salience (SN) have received most attention recently for their vital roles in cognitive functions. However, very little known about whether how interactions within between 3 networks would be modulated by demands. Here, we employed graph-based modularity analysis to identify DMN, ECN, SN during an N-back...
Graph theoretical analysis of brain networks based on resting-state functional MRI (R-fMRI) has attracted a great deal attention in recent years. These analyses often involve the selection correlation metrics and specific preprocessing steps. However, influence these factors topological properties not been systematically examined. Here, we investigated influences metric choice (Pearson's versus partial correlation), global signal presence (regressed or not) frequency band [slow-5 (0.01–0.027...
Conceptual processing is a crucial brain function for humans. Past research using neuropsychological and task-based functional brain-imaging paradigms indicates that widely distributed regions are related to conceptual processing. Here, we explore the potential contribution of intrinsic or spontaneous activity by examining whether resting-state magnetic resonance imaging (rs-fMRI) signals can account individual differences in efficiencies healthy individuals. We acquired rs-fMRI behavioral...
Cocaine dependence is a complex neuropsychiatric disorder manifested as dysregulation of multiple behavioral, emotional, and cognitive constructs. Neuroimaging studies have begun to identify specific neurobiological circuit impairments in cocaine-dependent (CD) individuals that may underlie these symptoms. However, whether, where, how the interactions within between circuits are disrupted remain largely unknown. We used resting-state fMRI modularity network analysis brain modules priori...
In Huntington's disease (HD), mutant Huntingtin (mHtt) protein causes striatal neuron dysfunction, synaptic loss, and eventual neurodegeneration. To understand the mechanisms responsible for loss in HD, we developed a corticostriatal coculture model that features age-dependent dendritic spine medium spiny neurons (MSNs) from YAC128 transgenic HD mice. Age-dependent was also observed vivo MSNs. of MSNs, performed series mechanistic studies. We previously discovered mHtt binds to type 1...
Spinocerebellar ataxia 2 (SCA2) is a neurodegenerative disorder characterized by progressive ataxia. SCA2 results from poly(Q) (polyglutamine) expansion in the cytosolic protein ataxin-2 (Atx2). Cerebellar Purkinje cells (PCs) are primarily affected SCA2, but cause of PC dysfunction and death poorly understood. In previous studies, we reported that mutant not wild-type Atx2 specifically binds inositol 1,4,5-trisphosphate receptor (InsP(3)R) increases its sensitivity to activation InsP3. We...
Significance The default mode network (DMN) has been suggested to support a variety of internal-state functions in human. Because preclinical models can be used translational studies neuropsychiatric disorders, investigations the DMN these may aid understanding both physiology and pathophysiology human DMN. To our knowledge, this is first study investigate constituents functional implications rat We provide empirical evidence that composed highly connected anatomical subnetworks, which show...
To explore the effect of T2DM on cerebral perfusion, and relationship between perfusion changes cognitive impairment as well diabetic variables, by using a whole-brain arterial spin-labeling (ASL) MRI technique. This prospective study was approved local institutional review board performed November 2012 October 2013. All subjects provided informed consent. Forty patients 41 age-, sex- education-matched healthy controls were included. Cerebral blood flow (CBF) map obtained pulsed ASL imaging...
Network analyses of structural connectivity in the brain have highlighted a set highly connected hubs that are densely interconnected, forming "rich-club" substrate diverse species. Here, we demonstrate existence rich-club organization functional networks rats. Densely interconnected regions found to be distributed multiple modules, with majority located within putative default mode network. Rich-club members exhibit high wiring cost (as measured by connection distance) and metabolic running...
Summary Aims Neuroimaging studies have demonstrated both structural and functional abnormalities in widespread brain regions patients with subcortical vascular mild cognitive impairment (sv MCI ). However, whether how these changes alter network organization remains largely unknown. Methods We recruited 21 sv 26 healthy control ( HC ) subjects who underwent resting‐state magnetic resonance imaging scans. Graph theory‐based analyses were used to investigate alterations the topological of...
Tourette Syndrome (TS) is a childhood-onset chronic disorder characterized by the presence of multiple motor and vocal tics. This study investigated spontaneous low-frequency fluctuations in TS patients during resting-state functional magnetic resonance imaging (fMRI) scans. We obtained fMRI scans from seventeen drug-naïve children fifteen demographically matched healthy children. computed amplitude low frequency fluctuation (ALFF) fractional ALFF (fALFF) data to measure brain activity,...
Alzheimer's disease (AD) is the most common form of dementia and currently affects 5.4 million Americans. A number anti-Aβ (beta amyloid) therapeutic agents have been developed for AD, but so far all them failed in clinic. Here we used peptoid chemistry to develop ligands selective Aβ42. Peptoids are N-substituted glycine oligomers, a class peptidomimics. We synthesized an on-bead library consisting 38,416 unique peptoids. The generated was screened arrays Aβ42-selective were identified. One...
Human brain is the most complex system in world. Within this system, multiple neurons, neural circuits or regions are connected to form a structural network. Using graph thereotical network analysis approaches, many studies have demonstrated that and functional networks can be constructed by electrophysiological neuroimaging data (electroencephalography, magnetoencephalography, MRI, diffusion MRI MRI), resultant show important topological features such as “small-world” property, modular...
Gliomas are primary brain tumors and among the most malignant types. Adult-type diffuse gliomas can be classified based on their histological molecular signatures as IDH-wildtype glioblastoma, IDH-mutant astrocytoma, 1p/19q-codeleted oligodendroglioma. Recent studies have shown that each subtype of glioma has its own specific distribution pattern. However, mechanisms underlying distributions subtypes not entirely clear despite partial explanations such cell origin. To investigate impact...
ABSTRACT Pattern separation and pattern completion in the hippocampus play a critical role episodic learning memory. However, there is limited empirical evidence supporting of hippocampal circuit these processes during complex continuous experiences. In this study, we analyzed high‐resolution fMRI data from “ Forrest Gump ” open‐access dataset (16 participants) using sliding‐window temporal autocorrelation approach to investigate whether canonical (DG‐CA3‐CA1‐SUB) shows consistent with...
Neuroimaging studies have demonstrated that patients with Alzheimer's disease (AD) remarkable focal grey matter loss and hypometabolism in the posteromedial cortex (PMC), which is composed of precuneus posterior cingulate cortex, suggesting an important association PMC AD pathophysiology. Studies also shown a structurally functionally heterogeneous structure containing various subregions distinct connectivity profiles. However, whether these show differentially disrupted patterns remains...
Increasing evidence indicates that glioma topographic location is linked to the cellular origin, molecular alterations and genetic profile. This research aims (a) reveal underlying mechanisms of tumor predilection in glioblastoma multiforme (GBM) lower-grade (LGG) (b) leverage features predict prognosis. MRI images from 396 GBM 190 LGG (115 astrocytoma 75 oligodendroglioma) patients were standardized construct frequency maps analyzed by voxel-based lesion-symptom mapping. We then...
Similarities on the cellular and neurochemical composition of amygdaloid subnuclei suggests their clustering into subunits that exhibit unique functional organization. The topological principle community structure has been used to identify subnetworks in neuroimaging data reflect brain effective Here we modularity investigate organization amygdala using resting state magnetic resonance imaging (rsfMRI) data. Our goal was determine whether such would reliably known neurobiology individual...