Exploring consistent functional brain networks during free viewing of videos via sparse representation

Cheng Lv, Xintao Hu, Junwei Han, Gong Cheng, Xiang Li, Lei Guo, Tianming Liu

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

1 Scopus citations

Abstract

Functional brain mapping under naturalistic stimuli such as video watching has been receiving greater interest in recent years. We presented a sparse representation based data-driven strategy to explore consistent functional brain networks during free viewing of continuous video streams. Compared with the traditional independent component analysis (ICA) based method, the novelty of our method is taking the intrinsic sparsity of whole-brain fMRI data into consideration and identify those highly descriptive dictionary atoms for sparse representation of fMRI signals. Our experimental results demonstrate that meaningful consistent functional brain networks can be mapped during free viewing of video stream by our method. We also compared the proposed method with ICA-based method.

Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages349-352
Number of pages4
ISBN (Electronic)9781467319591
DOIs
StatePublished - 29 Jul 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: 29 Apr 20142 May 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conference

Conference2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/TerritoryChina
CityBeijing
Period29/04/142/05/14

Keywords

  • Functional brain networks
  • Naturalistic stimuli
  • Sparse representation

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