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Research ArticleResearch Article: Methods/New Tools, Novel Tools and Methods

Multitask fMRI Data Classification via Group-Wise Hybrid Temporal and Spatial Sparse Representations

Limei Song, Yudan Ren, Yuqing Hou, Xiaowei He and Huan Liu
eNeuro 23 May 2022, 9 (3) ENEURO.0478-21.2022; DOI: https://doi.org/10.1523/ENEURO.0478-21.2022
Limei Song
1School of Information Science & Technology, Northwest University, Xi’an, 710127, China
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Yudan Ren
1School of Information Science & Technology, Northwest University, Xi’an, 710127, China
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Yuqing Hou
1School of Information Science & Technology, Northwest University, Xi’an, 710127, China
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Xiaowei He
1School of Information Science & Technology, Northwest University, Xi’an, 710127, China
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Huan Liu
2School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, 212013, China
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0478-21.2022
PubMed 
35606152
Published By 
Society for Neuroscience
History 
  • Received November 11, 2021
  • Revision received April 6, 2022
  • Accepted May 6, 2022
  • Published online May 23, 2022.
Copyright & Usage 
Copyright © 2022 Song et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Limei Song1,*,
  2. Yudan Ren1,*,
  3. Yuqing Hou1,
  4. Xiaowei He1 and
  5. Huan Liu2
  1. 1School of Information Science & Technology, Northwest University, Xi’an, 710127, China
  2. 2School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, 212013, China
  1. Correspondence should be addressed to Yudan Ren at yudan.ren{at}nwu.edu.cn or Yuqing Hou at houyuqin{at}nwu.edu.cn.
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Author contributions

  1. Author contributions: Y.R. and H.L. designed research; L.S. performed research; Y.H. and X.H. analyzed data; L.S. and Y.R. wrote the paper.

  2. ↵* L.S. and Y.R. contributed equally to this work and should be considered co-first authors.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by the National Natural Science Foundation of China Grant No. 62006187, the Natural Science Foundation of Shaanxi Province Grant No. 2020JQ-606, the Youth Innovation Team Foundation of Education Department of Shaanxi Province Government Grant No. 21JP119, China Postdoctoral Science Foundation Funded Project Grant No. 2021M702650, the Key Research and Development Program Project of Shaanxi Province Grant No. 2020SF-036, the National Natural Science Foundation of China Grant No. 61971350, and the Scientific and Technological Projects of Xi'an Grant No. 201805060ZD11CG44.

Funding

  • National Natural Science Foundation of China (NSFC)

    62006187
  • Natrual Science Foundation of Shaanxi Province

    2020JQ-606
  • Youth Innovation Team Foundation of Education Department of Shaanxi Province Government

    21JP119

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eneuro: 9 (3)
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May/June 2022
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Multitask fMRI Data Classification via Group-Wise Hybrid Temporal and Spatial Sparse Representations
Limei Song, Yudan Ren, Yuqing Hou, Xiaowei He, Huan Liu
eNeuro 23 May 2022, 9 (3) ENEURO.0478-21.2022; DOI: 10.1523/ENEURO.0478-21.2022

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Multitask fMRI Data Classification via Group-Wise Hybrid Temporal and Spatial Sparse Representations
Limei Song, Yudan Ren, Yuqing Hou, Xiaowei He, Huan Liu
eNeuro 23 May 2022, 9 (3) ENEURO.0478-21.2022; DOI: 10.1523/ENEURO.0478-21.2022
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Keywords

  • multitask classification
  • task-based fMRI
  • group-wise
  • hybrid temporal and spatial sparse representations

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