A two-stage DBN-based method to exploring functional brain networks in naturalistic paradigm FMRI

Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, 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

9 引用 (Scopus)

摘要

FMRI using naturalistic paradigms such as watching movies has gained increasing interest in recent neuroimaging studies. Data-driven blind source separation (BSS) methods such as independent component analysis (ICA) are widely used to extract meaningful features in fMRI data. Recent studies have shown that BSS based on deep neural networks (DNNs) such as restricted Boltzmann machine (RBM) and deep belief network (DBN) outperform ICA. Those DNN-based methods interpret spatially aggregated fMRI time series of multiple subjects in group analysis to reduce model complexity, and only brain networks with group-wise temporal consistency can be identified. However, fMRI activities to naturalistic paradigm exhibit both group-wise consistency and inter-subject difference. To address this problem, we propose a two-stage DBN-based BSS method. In the first stage, a DBN model is trained using temporally aggregated fMRI time series of multiple subjects. In the second stage, subject-specific DBN models are initialized using model parameters learned in the first stage and are trained to converge using individual fMRI data to refine brain network identification. We use an fMRI dataset acquired using a movie stimulus to validate the proposed method.

源语言英语
主期刊名ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
出版商IEEE Computer Society
1594-1597
页数4
ISBN(电子版)9781538636411
DOI
出版状态已出版 - 4月 2019
活动16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, 意大利
期限: 8 4月 201911 4月 2019

出版系列

姓名Proceedings - International Symposium on Biomedical Imaging
2019-April
ISSN(印刷版)1945-7928
ISSN(电子版)1945-8452

会议

会议16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
国家/地区意大利
Venice
时期8/04/1911/04/19

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