CASIA OpenIR  > 脑网络组研究中心
Predicting Individualized Intelligence Quotient Scores Using Brainnetome-Atlas Based Functional Connectivity
Rongtao Jiang; Shile Qi; Yuhui Du; Weizheng Yan; Vince D. Calhoun; Tianzi Jiang; Sui Jing(隋婧)
Conference Name2017 IEEE International Workshop on Machine Learning for Signal Processing
Conference Date2017/9/25-28
Conference PlaceTokyo,Japan
Variation in several brain regions and neural parameters is associated with intelligence. In this study, we adopted functional connectivity (FC) based on Brainnetome-atlas to predict the intelligence quotient (IQ) scores quantitatively with a prediction framework incorporating advanced feature selection and regression methods. We compared prediction performance of five regression models and evaluated the effectiveness of feature selection. The best prediction performance was achieved by ReliefF+LASSO, by which correlations of r=0.72 and r=0.46 between prediction and true values were obtained for 174 female and 186 male subjects respectively in a leave-one-out-cross-validation, suggesting that for female subjects, a better prediction of IQ scores can be achieved using precise FCs. Further, weight analysis revealed the most predictive FCs and the relevant regions. Results support the hypothesis that intelligence is characterized by interaction between multiple brain regions, especially the parieto-frontal integration theory implicated areas. This study facilitates our understanding of the biological basis of intelligence by individualized prediction.
KeywordIndividualized Prediction Intelligence Quotient Functional Connectivity Brainnetomr Atlas Sparse
Indexed BySCI
Document Type会议论文
Corresponding AuthorSui Jing(隋婧)
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Rongtao Jiang,Shile Qi,Yuhui Du,et al. Predicting Individualized Intelligence Quotient Scores Using Brainnetome-Atlas Based Functional Connectivity[C],2017.
Files in This Item: Download All
File Name/Size DocType Version Access License
2017_MLSP_Jiang_IQ-P(5025KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Rongtao Jiang]'s Articles
[Shile Qi]'s Articles
[Yuhui Du]'s Articles
Baidu academic
Similar articles in Baidu academic
[Rongtao Jiang]'s Articles
[Shile Qi]'s Articles
[Yuhui Du]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Rongtao Jiang]'s Articles
[Shile Qi]'s Articles
[Yuhui Du]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2017_MLSP_Jiang_IQ-Prediction.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.