Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles

Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Localization of functional cortical ROIs (regions of interests) in structural data such as DTI and T1-weighted MRI has significant importance in basic and clinical neuroscience. However, this problem is challenging due to the lack of quantitative mapping between brain structure and function, which relies on both the availability of benchmark training data such as task-based fMRI and effective machine learning algorithms. By using task-based fMRI derived ROIs as benchmarks, this paper presents a novel approach that develops predictive models of those ROIs based on concurrent DTI and T1-weighted MRI datasets within a machine learning paradigm. Particularly, in application stage, the predictive models are only applied on the structural datasets to predict functional ROI locations, which are evaluated by cross-validation studies, independent tests and reproducibility studies. We envision that these predictive models can be widely applied in scenarios that have only DTI and/or MRI data, but without task-based fMRI data.

源语言英语
主期刊名ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
主期刊副标题From Nano to Macro
516-519
页数4
DOI
出版状态已出版 - 2013
活动2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, 美国
期限: 7 4月 201311 4月 2013

出版系列

姓名Proceedings - International Symposium on Biomedical Imaging
ISSN(印刷版)1945-7928
ISSN(电子版)1945-8452

会议

会议2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
国家/地区美国
San Francisco, CA
时期7/04/1311/04/13

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