Gray Matter Volume Predicts Individual Body Mass Index and Its Development during Adolescence | |
Wang, Haiyan1,2,3; Jiang, Tianzi1,2,3,4,5 | |
2021 | |
会议名称 | ICBBT |
会议日期 | May 21-23, 2021 |
会议地点 | Xi'an, China |
摘要 | Adolescent obesity is one of the most important current public health concerns, owing to its increased prevalence and adverse effects on physical and mental health. Body mass index (BMI) is a measure of obesity, and relationships between brain and BMI have been found based on univariate association analyses. However, whether/how neuroanatomical features can be used to predict the BMI and its development at the individual level during adolescence are unclear. Here, we analyzed the large-scale longitudinal IMAGEN dataset, in which structural magnetic resonance imaging and BMI were acquired at both 14 and 19 years old in the same subjects. Using the voxel-wise gray matter volume (GMV) as features and the multivariate machine learning method, we constructed predictive models for individually predicting the BMI at both 14 and 19 years old, as well as the longitudinal development of BMI between the 2 ages. We found that, the whole-brain GMV could predict the individual BMI at both 14 and 19 years old, and the development of GMV in cerebellum could predict the individual development of BMI. The contributing brain regions for predicting 14- and 19-year-old BMIs did not differ at a coarse scale, but exhibited considerable differences at a fine scale. Our results highlight the importance of GMV in predicting the individual cross-sectional BMI and its longitudinal development during adolescence. |
关键词 | BMI Individualized prediction Adolescence Development Gray matter volume |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 医学影像处理与分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44802 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
作者单位 | 1.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China 5.Univ Elect Sci & Technol China, Chengdu Brain Sci Inst, MOE Key Lab Neuroinformat, Clin Hosp, Chengdu 625014, Peoples R China 6.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Wang, Haiyan,Jiang, Tianzi. Gray Matter Volume Predicts Individual Body Mass Index and Its Development during Adolescence[C],2021. |
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