A5100461518- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Alzheimer's disease research and treatments
- EEG and Brain-Computer Interfaces
- Brain Tumor Detection and Classification
- Advanced Neuroimaging Techniques and Applications
- Sharing Economy and Platforms
- Attention Deficit Hyperactivity Disorder
- Advanced MRI Techniques and Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced MIMO Systems Optimization
- Forensic Anthropology and Bioarchaeology Studies
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Autism Spectrum Disorder Research
- Energy Load and Power Forecasting
- Cell Image Analysis Techniques
- Neurological Disease Mechanisms and Treatments
- Neuroscience and Music Perception
- Traffic control and management
- Millimeter-Wave Propagation and Modeling
- Mitochondrial Function and Pathology
- Smart Grid and Power Systems
Baoji City Central Hospital
2025
Chongqing University of Posts and Telecommunications
2018-2025
Army Medical University
2024-2025
Yueyang Changling Equipment Research Institute (China)
2025
Zhengzhou University
2021-2024
Zhejiang Normal University
2024
Hainan University
2024
Henan Polytechnic University
2024
China Geological Survey
2024
Dalian University
2024
Abstract This cranio-morphometric study emphasizes a “two-layer model” for eastern Eurasian anatomically modern human (AMH) populations, based on large datasets of 89 population samples including findings directly from ancient archaeological contexts. Results suggest that an initial “first layer” AMH had related closely to ancestral Andaman, Australian, Papuan, and Jomon groups who likely entered this region via the Southeast Asian landmass, prior 65–50 kya. A later “second shared strong...
IntroductionIt is well known that Beurling [2] and Herz 11 introduced some new spaces characterize certain properties of functions.These are called the spaces.Many studies involving these can be found in literature.One main reasons Hardy space theory associated with very rich.Actually, a sort local version ordinary spaces; former, sometimes, good substitutes latter when considering, for example, boundedness non-translation invariant singular integral operators.This paper motivated by...
Epileptic seizures are characterized by their sudden and unpredictable nature, posing significant risks to a patient’s daily life. Accurate reliable seizure prediction systems can provide alerts before occurs, as well give the patient caregivers provider enough time take appropriate measure. This study presents an effective method based on deep learning that combine with handcrafted features. The features were selected Max-Relevance Min-Redundancy (mRMR) obtain optimal set of To extract...
Previous neuroimaging studies have suggested that cerebral changes over normal aging are not simply characterized by regional alterations, but rather the reorganization of cortical connectivity patterns. The investigation structural covariance networks (SCNs) using voxel-based morphometry is an advanced approach to examining pattern in gray matter (GM) volumes among different regions human cortex. To date, how organization critical SCNs change during remains largely unknown. In this study,...
Abstract Memory impairment is a typical characteristic of patients with subcortical vascular mild cognitive (svMCI) or amnestic (aMCI). The hippocampus, which plays an important role in the consolidation information from short-term memory to long-term memory, heterogeneous structure that consists several anatomically and functionally distinct subfields. However, whether hippocampal subfields are differentially selectively affected by svMCI pathology these abnormal changes different between...
Playing music requires a strong coupling of perception and action mediated by multimodal integration brain regions, which can be described as network connections measured anatomical functional correlations between regions. However, the structural connectivities within auditory sensorimotor networks after long-term musical training remain largely uninvestigated. Here, we compared connectivity (SC) resting-state (rs-FC) two in 29 novice healthy young adults before (piano) with those another 27...
With many platforms and sensors continuously observing the earth surface, large amount of remote sensing data presents a big challenge. While acquisition capability can fully meet requirements application domains, there is still need to further explore how efficiently mine useful information from (RSBD). Many researchers in community have introduced deep learning process RSBD, learning-based methods achieved better performance compared with traditional methods. However, are substantial...
Morphological brain network plays a key role in investigating abnormalities neurological diseases such as mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, most of the morphological construction methods only considered single feature. Each type feature has specific genetic underpinnings. A combination features been proven to have better diagnostic performance compared with feature, which suggests that an individual based on multiple would be beneficial diagnosis. Here,...
Background: Accurately and automatically segmenting the hippocampus into multiple subfields on MRI images is crucial for diagnosis intervention of various neurological diseases, such as Alzheimer's disease schizophrenia. However, small sizes complex structures hippocampal subfields, along with their unclear boundaries significant volume imbalances, pose substantial challenges automatic segmentation.