Neuroimaging studies of the dynamic and critical cortex development during early postnatal stages would greatly increase our very limited knowledge on normal early brain development, and also provide important insights into neurodevelopmental origins and abnormal trajectories of neuropsychiatric disorders. In neuroimaging studies, cortical surface-based brain atlases play fundamental and increasingly important roles for normalization, analysis, visualization, and comparison of the highly-folded cortex across different studies. Existing cortical surface atlases developed for adults and neonates are problematic when used for studying the dynamic developing cortex in infants, due to dramatic differences of cortical size, shape, and folding degree. Meanwhile, parcellations in these cortical surfaces atlases based on the sulcal-gyral landmarks are also problematic when used for localization of functional regions, due to poor matching of sulcal-gyral patterns with the microstructural borders. To address all these limitations, we aim to construct longitudinally-consistent, age-specific population representative shapes of multi-scale cortical folding at 1, 3, 6, 9, 12, 18 and 24 months of age (Aim 1). To ensure the longitudinal consistency of 4D atlases, we will capitalize on within- subject longitudinal constraints to establish consistent inter-subjec cortical correspondences. To capture the multi-scale nature of cortical folding, we will characterize cortical folding by using spherical wavelet decomposition of curvature information. To ensure the clarity and representativeness of cortical folding in atlases, we will develop a sparse representation method to adaptively integrate individuals' cortical folding. Next, we aim to parcellate 4D infant cortical surface atlases into distinct regions based on the dynamic developmental trajectories of cortical thickness, surface area, and cortical local gyrification (Ai 2). The dynamic cortical developmental trajectories indicate the underlying changes of microstructures, which essentially determine the molecular organization and functional principles of the cortex, and thus can better define the developmentally, microstructurally, and functionally distinct regions than the conventional sulcalgyral landmarks. Finally, we will package our 4D infant cortical surface atlases and release them freely to the community.
This project aims to create the first longitudinal four-dimensional (4D) infant cortical surface atlases to enable the accurate neuroimaging mapping of the dynamic infant brain development. In particular, we will construct longitudinally-consistent, age-specific population representative shapes of multi-scale cortical folding at 1, 3, 6, 9, 12, 18 and 24 months of age. Then, we will parcellate the 4D infant cortical surface atlases into distinct regions based on the dynamic developmental trajectories of infant cortical attributes.
| Zhang, Changqing; Adeli, Ehsan; Wu, Zhengwang et al. (2018) INFANT BRAIN DEVELOPMENT PREDICTION WITH LATENT PARTIAL MULTI-VIEW REPRESENTATION LEARNING. Proc IEEE Int Symp Biomed Imaging 2018:1048-1051 |
| Li, Guannan; Liu, Mingxia; Sun, Quansen et al. (2018) Early Diagnosis of Autism Disease by Multi-channel CNNs. Mach Learn Med Imaging 11046:303-309 |
| Meng, Yu; Li, Gang; Wang, Li et al. (2018) Discovering cortical sulcal folding patterns in neonates using large-scale dataset. Hum Brain Mapp : |
| Rekik, Islem; Li, Gang; Lin, Weili et al. (2018) ESTIMATION OF SHAPE AND GROWTH BRAIN NETWORK ATLASES FOR CONNECTOMIC BRAIN MAPPING IN DEVELOPING INFANTS. Proc IEEE Int Symp Biomed Imaging 2018:985-989 |
| Wu, Zhengwang; Li, Gang; Wang, Li et al. (2018) CONSTRUCTION OF SPATIOTEMPORAL NEONATAL CORTICAL SURFACE ATLASES USING A LARGE-SCALE DATASET. Proc IEEE Int Symp Biomed Imaging 2018:1056-1059 |
| Zhang, Yongqin; Shi, Feng; Cheng, Jian et al. (2018) Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans Cybern : |
| Wang, Fan; Lian, Chunfeng; Xia, Jing et al. (2018) CONSTRUCTION OF SPATIOTEMPORAL INFANT CORTICAL SURFACE ATLAS OF RHESUS MACAQUE. Proc IEEE Int Symp Biomed Imaging 2018:704-707 |
| He, Ping; Xu, Xiaohua; Zhang, Han et al. (2018) Spatiotemporal Analysis of Developing Brain Networks. Front Neuroinform 12:48 |
| Xia, Jing; Wang, Fan; Meng, Yu et al. (2018) A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. Med Image Anal 49:46-59 |
| Xia, Jing; Zhang, Caiming; Wang, Fan et al. (2018) FETAL CORTICAL PARCELLATION BASED ON GROWTH PATTERNS. Proc IEEE Int Symp Biomed Imaging 2018:696-699 |
Showing the most recent 10 out of 41 publications
