A5070001088- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Neural dynamics and brain function
- Nanoplatforms for cancer theranostics
- Epilepsy research and treatment
- EEG and Brain-Computer Interfaces
- Cerebrovascular and Carotid Artery Diseases
- Bipolar Disorder and Treatment
- Nanoparticle-Based Drug Delivery
- Traumatic Brain Injury and Neurovascular Disturbances
- Acute Ischemic Stroke Management
- COVID-19 diagnosis using AI
- Liver Disease and Transplantation
- Traumatic Brain Injury Research
- Coronary Interventions and Diagnostics
- Medical Imaging Techniques and Applications
- Intracranial Aneurysms: Treatment and Complications
- MRI in cancer diagnosis
- Lung Cancer Diagnosis and Treatment
- Liver Disease Diagnosis and Treatment
Nanjing Medical University
2016-2025
Nanjing University
2016-2025
Nanjing General Hospital of Nanjing Military Command
2016-2025
China Electric Power Research Institute
2020-2025
Shengli Oilfield Central Hospital
2025
Southern Medical University
2016-2025
Changhai Hospital
2025
Second Military Medical University
2025
Jiangsu Province Hospital
2025
North China Electric Power University
2020-2025
The human brain is a large-scale integrated network in the functional and structural domain. Graph theoretical analysis provides novel framework for analysing such complex networks. While previous neuroimaging studies have uncovered abnormalities several specific networks patients with idiopathic generalized epilepsy characterized by tonic–clonic seizures, little known about changes whole-brain connectivity Regarding connectivity, are intimately related share common small-world topological...
The functional architecture of the human brain has been extensively described in terms connectivity networks, detected from low-frequency coherent neuronal fluctuations that can be observed a resting state condition. Little is known, so far, about changes and topological properties associated with different diseases.In this study, we investigated alterations related to mesial temporal lobe epilepsy (mTLE), using magnetic resonance imaging on 18 mTLE patients 27 healthy controls. Functional...
Abstract Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures reported have moderate high test-retest reliability, variability data acquisition, experimental designs, and analytic methods precludes generalize results. The Consortium for Reliability Reproducibility (CoRR) is working address this challenge establish...
Idiopathic generalized epilepsy (IGE) has been linked with disrupted intra-network connectivity of multiple resting-state networks (RSNs); however, whether impairment is present in inter-network interactions between RSNs, remains largely unclear. Here, 50 patients IGE characterized by tonic-clonic seizures (GTCS) and demographically matched healthy controls underwent fMRI scans. A dynamic method was implemented to investigate functional network (FNC) IGE-GTCS. Specifically, independent...
Abstract Studies of in mesial temporal lobe epilepsy (mTLE) patients with hippocampal sclerosis (HS) have reported reductions both functional and structural connectivity between structures adjacent brain regions. However, little is known about the among default mode network (DMN) mTLE. Here, we hypothesized that within DMN were disturbed To test this hypothesis, magnetic resonance imaging (fMRI) diffusion tensor (DTI) applied to examine 20 mTLE patients, gender‐ age‐matched healthy controls....
The brain connectome collects the complex network architectures, looking at both static and dynamic functional connectivity. former normally requires stationary signals connections. However, human activity connections are most likely time dependent dynamic, related to ongoing rhythmic activity. We developed an open-source MATLAB toolbox DynamicBC with user-friendly graphical user interfaces, implementing effective connectivity for tracking dynamics from MRI. provided two strategies analysis:...
We demonstrate a self-transformation approach for the synthesis of ordered mesoporous silica hollow spheres with radially oriented mesochannels. The method is simple and facile, in which mesostructured synthesized Stöber solution can spontaneously transform to structure when they are incubated water. formation does not require any sacrificial templates, emulsion droplets, or surface protective agents. obtained possess controllable diameter, tunable shell thickness, high specific area,...
A rationally designed bi-adjuvant nanovaccine enhances neoantigen immunogenicity and enables combination immunotherapy.
Mesoporous solids have been widely used in various biomedical areas such as drug delivery and tumor therapy. Although deformability has recognized a prime important characteristic influencing cellular uptake, the synthesis of deformable mesoporous is still great challenge. Herein, thioether-, benzene-, ethane-bridged hollow periodic organosilica (HPMO) nanocapsules successfully synthesized for first time by preferential etching approach. The prepared HPMO possess uniform diameters (240-310...
Monodisperse yolk–shell mesoporous hybrid spheres with ordered radial mesochannels are demonstrated to be readily prepared by incubating mesostructured water. The obtained have inorganic–organic framework, tunable diameter, high surface area, radially oriented mesochannels, large pore volume, and excellent hemocompatibilitys, showing great promise for various applications. As a service our authors readers, this journal provides supporting information supplied the authors. Such materials peer...
Alleviation of tumor hypoxia has been the premise for improving effectiveness radiotherapy, which hinges upon advanced delivery and rapid release oxygen within region. Herein, we propose a "bubble-enhanced diffusion" strategy to achieve whole oxygenation significant radiation enhancement based on "bystander effect". Toward this end, sub-50 nm CuS-modified 64Cu-labeled hollow mesoporous organosilica nanoparticles were constructed tumor-specific O2-saturated perfluoropentane (PFP). Through aid...
The improper handling of decrypted information can lead to the leakage confidential data. Thus, there is increasing interest in development self-erasing Herein, we report a urease-containing fluorescent hydrogel for multistage security protection. Information be input into hydrogel, which based on protonated 4-(N,N-dimethylaminoethylene) amino-N-allyl-1,8-naphthalimide (DEAN-H+ ) and doped with urease, using metal ions, such as Zn2+ that coordinate DEAN. Upon exposure urea, urease produces...
The success of radiotherapy relies on tumor-specific delivery radiosensitizers to attenuate hypoxia resistance. Here we report an ammonia-assisted hot water etching strategy for the generic synthesis a library small-sized (sub-50 nm) hollow mesoporous organosilica nanoparticles (HMONs) with mono, double, triple, and even quadruple framework hybridization diverse organic moieties by changing only introduced bissilylated precursors. biodegradable thioether-hybridized HMONs are chosen efficient...
Abstract Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography recommended as the standard diagnosis tool; yet, interpretation can be time-consuming and challenging. We present specific deep-learning-based model trained on 1,177 digital subtraction verified bone-removal computed cases. The has good tolerance to image quality tested with different manufacturers. Simulated real-world studies are conducted in consecutive internal external cohorts, which it...
Multimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors. From a psychological perspective, emotions the expression of affect or feelings during short period, while sentiments formed held longer period. However, most existing works study separately do not fully exploit complementary knowledge behind two. In this paper, we propose multimodal knowledge-sharing framework (UniMSE) that unifies MSA ERC...
BackgroundArtificial intelligence (AI) models in real-world implementation are scarce. Our study aimed to develop a CT angiography (CTA)-based AI model for intracranial aneurysm detection, assess how it helps clinicians improve diagnostic performance, and validate its application clinical implementation.MethodsWe developed deep-learning using 16 546 head neck CTA examination images from 14 517 patients at eight Chinese hospitals. Using an adapted, stepwise evaluation, 120 certified 15...
Abstract Various functional imaging tools have been used to detect epileptic activity in the neural network underlying mesial temporal lobe epilepsy (mTLE). In present fMRI study, a data‐driven approach was employed map interictal mTLE patients by measuring amplitude of low‐frequency fluctuation (ALFF) blood oxygen level‐dependent (BOLD) signal. Twenty‐four left and 26 right were investigated comparing with 25 healthy subjects. patients, regions showing increased ALFF consistently...