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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages1594-1597
Number of pages4
ISBN (Electronic)9781538636411
DOIs
StatePublished - Apr 2019
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: 8 Apr 201911 Apr 2019

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2019-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
Country/TerritoryItaly
CityVenice
Period8/04/1911/04/19

Keywords

  • Blind source separation
  • Deep belief network
  • FMRI

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