BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network
文献类型:期刊论文
作者 | Ma L(马亮)7,8; Zhang Y(张瑜)6; Zhang HT(张瀚天)8; Cheng LQ(程禄祺)5,6; Yang ZY(杨正宜)8; Lu YH(陆玉恒)8; Shi WY(时维阳)8; Li W(李雯)8; Zhuo JJ(卓俊杰)4; Wang JJ(王娇健)3 |
刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS |
出版日期 | 2022-10 |
页码 | 1-12 |
关键词 | anatomical connectivity fingerprints heritability individualized brain atlas graph neural network topography variability |
文献子类 | 期刊 |
英文摘要 | Brain atlas is an important tool in the diagnosis and treatment of neurological disorders. However, due to large variations in the organizational principles of individual brains, many challenges remain in clinical applications. Brain atlas individualization network (BAI-Net) is an algorithm that subdivides individual cerebral cortex into segregated areas using brain morphology and connectomes. The presented method integrates group priors derived from a population atlas, adjusts areal probabilities using the context of connectivity fingerprints derived from the fiber-tract embedding of tractography, and provides reliable and explainable individualized brain areas across multiple sessions and scanners. We demonstrate that BAI-Net outperforms the conventional iterative clustering approach by capturing significantly heritable topographic variations in individualized cartographies. The topographic variability of BAI-Net cartographies has shown strong associations with individual variability in brain morphology, connectivity as well as higher relationship on individual cognitive behaviors and genetics. This study provides an explainable framework for individualized brain cartography that may be useful in the precise localization of neuromodulation and treatments on individual brains. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.ia.ac.cn/handle/173211/50751] |
专题 | 自动化研究所_脑网络组研究中心 |
通讯作者 | Fan LZ(樊令仲); Jiang TZ(蒋田仔) |
作者单位 | 1.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 3.State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 4.School of Biomedical Engineering, Hainan University 5.School of Life and Environmental Sciences, Guilin University of Electronic Technology 6.Artificial Intelligence Research Institute, Zhejiang Lab 7.Brainnetome Center, Institute of Automation, Chinese Academy of Sciences 8.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Ma L,Zhang Y,Zhang HT,et al. BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2022:1-12. |
APA | Ma L.,Zhang Y.,Zhang HT.,Cheng LQ.,Yang ZY.,...&Jiang TZ.(2022).BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,1-12. |
MLA | Ma L,et al."BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022):1-12. |
入库方式: OAI收割
来源:自动化研究所
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