A5043320141- Fetal and Pediatric Neurological Disorders
- Advanced Neuroimaging Techniques and Applications
- Neonatal and fetal brain pathology
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Domain Adaptation and Few-Shot Learning
- Child Development and Digital Technology
- Impact of Technology on Adolescents
- Medical Imaging and Analysis
- Brain Tumor Detection and Classification
- Visual perception and processing mechanisms
- MRI in cancer diagnosis
- Social Media and Politics
- Radiomics and Machine Learning in Medical Imaging
- Anomaly Detection Techniques and Applications
- Chemokine receptors and signaling
- Adipokines, Inflammation, and Metabolic Diseases
- Advanced Neural Network Applications
- Cytokine Signaling Pathways and Interactions
- Cryptography and Data Security
- Advanced Drug Delivery Systems
- Autism Spectrum Disorder Research
- Privacy-Preserving Technologies in Data
- Chromatin Remodeling and Cancer
Jiangxi University of Traditional Chinese Medicine
2025
Zhejiang University
2021-2024
Nvidia (United States)
2023
The Affiliated Yongchuan Hospital of Chongqing Medical University
2022
Chongqing Medical University
2022
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of developing human brain. Automatic segmentation brain a vital step quantitative prenatal neurodevelopment both research clinical context. However, manual cerebral structures time-consuming prone to error inter-observer variability. Therefore, we organized Fetal Tissue Annotation (FeTA) Challenge 2021 order encourage development automatic algorithms on international level. The challenge utilized FeTA Dataset,...
Abstract The rise of new media has greatly changed the lifestyles, leading to increased time on these platforms and less spent reading. This shift particularly profound impacts early adolescents, who are in a critical stage brain development. Previous studies have found associations between screen use mental health, but it remains unclear whether is direct cause outcomes. Here, Adolescent Brain Cognitive Development (ABCD) dataset utlized examine causal relationships results revealed adverse...
The fetal brains experience rapid and complex development
Experience-dependent cortical plasticity is a pivotal process of human brain development and essential for the formation most cognitive functions. Although studies found that early visual experience could influence endogenous cortex in animals, little known about such impact on infants. Using multimodal MRI data from developing connectome project, we characterized structural functional maps ventral their during neonatal period. Particularly, postnatal time selectively modulated thickness...
Multi-slice magnetic resonance images of the fetal brain are usually contaminated by severe and arbitrary maternal motion. Hence, stable robust motion correction is necessary to reconstruct high-resolution 3D volume for clinical diagnosis quantitative analysis. However, conventional registration-based has a limited capture range insufficient detecting relatively large motions. Here, we present novel Affinity Fusion-based Framework Iteratively Random Motion (AFFIRM) multi-slice MRI. It learns...
The aim of this study was to assess the ameliorative effects naringin (NR) on cognitive impairment in schizophrenia(SZ) from multiple perspectives using behavioral, histopathological and molecular biological approaches. SZ models were established rats via acute intraperitoneal injection MK-801 all groups except control group, which received saline. Cognitive function assessed Morris water maze test 21 days after prophylactic NR administration. Subsequently, Serum interleukin-6 (IL-6)...
The relationship between brain entropy (BEN) and early development has been established through animal studies. However, it remains unclear whether the BEN can be used to identify age-dependent functional changes in human neonatal brains genetic underpinning of new neuroimaging marker elucidated. In this study, we analyzed resting-state fMRI data from Developing Human Connectome Project, including 280 infants who were scanned at 37.5-43.5 weeks postmenstrual age. maps calculated for each...
Purpose The purpose of this study is to explore the potential trainable activation functions enhance performance deep neural networks, specifically ResNet architectures, in task image classification. By introducing that adapt during training, authors aim determine whether such flexibility can lead improved learning outcomes and generalization capabilities compared static like ReLU. This research seeks provide insights into how dynamic nonlinearities might influence models' efficiency...
The development of the cerebral cortex during fetal period is a complex yet well-coordinated process. MRI-based morphological brain network provides powerful tool for describing this process at level. Due to challenges in-utero MRI acquisition and image processing, has not been established. In study, utilizing high-resolution data, we constructed an individual morphometric similarity each fetus based on multiple cortical features. spatiotemporal connections was described level edge, node,...
Abstract The fetal brains experience rapid and complex development in utero during the second third trimesters. MRI atlas of brain this period enables us to quantify normal spatiotemporal domain. In study, we constructed a high quality between 23-38 weeks gestational age (GA) from 90 healthy Chinese fetuses using pairwise groupwise registration-based pipeline. We quantified cortical morphology characterized developmental trajectories each morphological index. thickness exhibited biphasic...
The neonatal period is a critical window for the development of human brain and may hold implications long-term cognition disorders. Multi-modal connectome studies have revealed many important findings underlying adult but related were rare in early brain. One potential challenge lack an appropriate unbiased parcellation that combines structural functional information this population. Using 348 multi-modal MRI datasets from developing project, we found fused structural, diffusion, was...
Abstract Since the birth of cognitive science, researchers have used reaction time and accuracy to measure ability. The initial use these two measures is probably a generalization from empiricism, but it also implies that most behavior has fundamental dimensions, namely processing speed (CPS) (CPA). In this study, we genomic-wide association studies (GWAS) data 14 traits show presence those factors revealed specific neurobiological basis underlying them. We found distinct neuroimaging...
During the second-to-third trimester, neuronal pathways of fetal brain experience rapid development, resulting in complex architecture interwired network at birth. While diffusion MRI-based tractography has been employed to study prenatal development structural connectivity (SCN) preterm neonatal and postmortem brains, utero SCN normal remains largely unknown. In this study, we utilized dMRI data from human fetuses both sexes between 26 38 gestational weeks investigate developmental...
Extensive cortico-cortical connections emerge in the fetal brain during second-to-third trimester with rapid development of white matter fiber pathways. However, early establishment and prenatal brain’s structural network are not yet understood. In this work, we built connectivity networks using in-utero diffusion MRI data. Network analysis revealed increasing overall efficiency network. The strengthening short-ranged emerging hubs contributed to reorganization its sub-units. These findings...
Abstract Slice‐to‐volume registration and super‐resolution reconstruction are commonly used to generate 3D volumes of the fetal brain from 2D stacks slices acquired in multiple orientations. A critical initial step this pipeline is select one stack with minimum motion among all input as a reference for registration. An accurate unbiased assessment (MA) thus crucial successful selection. Here, we presented an MA method that determines based on low‐rank approximation using CANDECOMP/PARAFAC...
Accurate tissue segmentation in fetal brain MRI remains challenging due to the dynamically changing anatomical anatomy and contrast during development. To enhance accuracy throughout gestation, we introduced AtlasSeg, a dual-U-shape convolution network incorporating gestational age (GA) specific information as guidance. By providing publicly available atlas with label at corresponding GA, AtlasSeg effectively extracted contextual features of age-specific patterns branch generated branch....
Motivation: Automatic segmentation of fetal brain remains challenging partially due to the dynamically changing anatomical structures during development. Goal(s): To enhance accuracy through incorporating gestational age-specific information as a guidance, we introduce AtlasSeg, dual-U-shape network with dense attentive interactions. Approach: By providing atlas volume and label at corresponding age, AtlasSeg effectively extracts contextual features patterns that assist segmentations....
Motivation: The causal relationships between screen use and mental health were not clear. Goal(s): We used genetic, imaging, questionnaire data from ABCD study to investigate the in early adolescents. Approach: One-sample Mendelian randomization analysis. Results: found a direct relationship behavior problems an indirect effect brain volume by changes reading habits. Impact: These findings provide new evidence for influence of habits on development highlight importance monitoring media...