A5026584447- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Gastrointestinal Bleeding Diagnosis and Treatment
- Acute Myeloid Leukemia Research
- Viral gastroenteritis research and epidemiology
- Gastric Cancer Management and Outcomes
- Protein Degradation and Inhibitors
- Brain Tumor Detection and Classification
- Gastrointestinal disorders and treatments
- Cryospheric studies and observations
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Chinese history and philosophy
- AI in cancer detection
- Music and Audio Processing
- Natural Language Processing Techniques
- Autism Spectrum Disorder Research
- Visual Attention and Saliency Detection
- Radiomics and Machine Learning in Medical Imaging
- Dark Matter and Cosmic Phenomena
- RNA Interference and Gene Delivery
- RNA Research and Splicing
University of Electronic Science and Technology of China
2018-2025
Sichuan University
2021-2025
West China Hospital of Sichuan University
2021-2025
Wuxi Taihu Hospital
2025
Changhai Hospital
2016-2024
Second Military Medical University
2013-2024
Nanjing University of Chinese Medicine
2023-2024
Dalian Medical University
2022-2024
Chongqing Medical University
2022-2024
Second Affiliated Hospital of Chongqing Medical University
2022-2024
Journal Article Norwalk Virus Infection of Volunteers: New Insights Based on Improved Assays Get access David Y. Graham, Graham Search for other works by this author on: Oxford Academic PubMed Google Scholar Xi Jiang, Jiang Tomoyuki Tanaka, Tanaka Antone R. Opekun, Opekun H. Paul Madore, Madore Mary K. Estes Reprints or correspondence: Dr. Estes, Div. Molecular Virology, Baylor College Medicine, One Plaza, Houston, TX 77030. The Infectious Diseases, Volume 170, Issue 1, July 1994, Pages...
Over the course of ontogenesis, human brain and cognitive abilities develop in parallel, resulting a phenotype strikingly distinct from that other primates. Here, we used microarrays RNA-sequencing to examine human-specific gene expression changes taking place during postnatal development prefrontal cortex cerebellum humans, chimpanzees, rhesus macaques. We show most prominent change affects genes associated with synaptic functions represents an extreme shift timing cortex, but not...
Visual prompt engineering is a fundamental methodology in the field of visual and image artificial general intelligence. As development large vision models progresses, importance becomes increasingly evident. Designing suitable prompts for specific tasks has emerged as meaningful research direction. This review aims to summarize methods employed computer domain engineering, exploring latest advancements engineering. We present influential range on these models. It our hope that this provides...
Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim creating machines capable performing any intellectual task that humans can do. To achieve this, AGI researchers draw inspiration from human brain and seek to replicate its principles in intelligent machines. Brain-inspired artificial intelligence is field emerged this endeavor, combining insights neuroscience, psychology, computer science develop more efficient power- ful AI systems. In article, we...
The "Impression" section of a radiology report is critical basis for communication between radiologists and other physicians. Typically written by radiologists, this part derived from the "Findings" section, which can be laborious error-prone. Although deep-learning based models, such as BERT, have achieved promising results in Automatic Impression Generation (AIG), models often require substantial amounts medical data poor generalization performance. Recently, Large Language Models (LLMs)...
While multiple studies have reported the accelerated evolution of brain gene expression in human lineage, mechanisms underlying such changes are unknown. Here, we address this issue from a developmental perspective, by analyzing mRNA and microRNA (miRNA) two regions within macaques, chimpanzees, humans throughout their lifespan. We find that constitutive divergence (species differences independent age) is comparable between chimpanzees. However, display 3-5 times faster evolutionary rate...
Piwi-interacting RNA (piRNA) are small abundant in the germline across animal species. In fruit flies and mice, piRNA have been implicated maintenance of genomic integrity by transposable elements silencing. Outside germline, only found fly ovarian follicle cells. Previous studies further reported presence multiple piRNA-like (pilRNA) heads a number pilRNA mouse tissues human NK Here, we analyze high-throughput sequencing data more than 130 fly, rhesus macaque samples. The results show...
Meaningful representation and effective retrieval of video shots in a large-scale database has been profound challenge for the image/video processing computer vision communities. A great deal effort devoted to extraction low-level visual features, such as color, shape, texture, motion characterizing retrieving shots. However, accuracy these feature descriptors is still far from satisfaction due well-known semantic gap. In order alleviate problem, this paper investigates novel methodology...
Is there a common structural and functional cortical architecture that can be quantitatively encoded precisely reproduced across individuals populations? This question is still largely unanswered due to the vast complexity, variability, nonlinearity of cerebral cortex. Here, we hypothesize effectively represented by group-wise consistent fiber connections take novel data-driven approach explore architecture. We report dense map 358 landmarks, named Dense Individualized Common...
For decades, it has been largely unknown to what extent multiple functional networks spatially overlap/interact with each other and jointly realize the total cortical function. Here, by developing novel sparse representation of whole-brain fMRI signals using recently publicly released large-scale Human Connectome Project high-quality data, we show that a number reproducible robust networks, including both task-evoked resting state are simultaneously distributed in distant neuroanatomic areas...
Functional connectomes (FCs) have been recently shown to be powerful in characterizing brain conditions. However, many previous studies assumed temporal stationarity of FCs, while their dynamics are rarely explored. Here, based on the structural constructed from diffusion tensor imaging data, FCs derived resting‐state fMRI (R‐fMRI) data and then temporally divided into quasi‐stable segments via a sliding time window approach. After integrating pooling over large number those FC 44...
Convoluted cortical folding and neuronal wiring are 2 prominent attributes of the mammalian brain. However, macroscale intrinsic relationship between these general cross-species attributes, as well underlying principles that sculpt architecture cerebral cortex, remains unclear. Here, we show axonal fibers connected to gyri significantly denser than those sulci. In human, chimpanzee, macaque brains, a dominant fraction were found be gyri. This finding has been replicated in range brains via...
Among other factors, changes in gene expression on the human evolutionary lineage have been suggested to play an important role establishment of human-specific phenotypes. However, molecular mechanisms underlying these are largely unknown. Here, we explored microRNA (miRNA) regulation divergence among adult humans, chimpanzees, and rhesus macaques, two brain regions: prefrontal cortex cerebellum. Using a combination high-throughput sequencing, miRNA microarrays, Q-PCR, shown that up 11% 325...
Current functional magnetic resonance imaging (fMRI) data modeling techniques, such as independent component analysis and sparse coding methods, can effectively reconstruct dozens or hundreds of concurrent interacting brain networks simultaneously from the whole fMRI signals. However, reconstructed have no correspondences across different subjects. Thus, automatic, effective, accurate classification recognition these large numbers fMRI-derived are very important for subsequent steps in...
Cognitive defects in autism spectrum disorder (ASD) include socialization and communication: key behavioral capacities that separate humans from other species. Here, we analyze gene expression the prefrontal cortex of 63 patients control individuals, as well 62 chimpanzees macaques, natal to adult age. We show among all aberrant changes seen ASD brains, a single pattern overrepresented genes involved synaptic-related pathways is enriched nucleotide variants linked autism. Furthermore, only...
Graph neural networks (GNNs) have received increasing interest in the medical imaging field given their powerful graph embedding ability to characterize non-Euclidean structure of brain based on magnetic resonance (MRI) data. However, previous studies are largely node-centralized and ignore edge features for classification tasks, resulting moderate performance accuracy. Moreover, generalizability GNN model is still far from satisfactory disorder [e.g., autism spectrum (ASD)] identification...
Breast ultrasound medical images are characterized by poor imaging quality and irregular target edges. During the diagnosis process, it is difficult for physicians to segment tumors manually, segmentation accuracy required high, so there an urgent need automated method improve as a technical tool assist diagnosis. This study designed improved Pyramid Attention Network combining mechanism Multi-Scale features (AMS-PAN) breast image segmentation. On encoding side, model adopts depthwise...