Image categorization from functional magnetic resonance imaging using functional connectivity.

Journal: Journal of neuroscience methods
Published Date: Aug 23, 2018

Abstract

BACKGROUND: Previous studies have attempted to infer the category of objects in a stimulus image from functional magnetic resonance imaging (fMRI) data recoded during image-viewing. Most studies focus on extracting activity patterns within a given region or across multiple voxels, and utilize the relationships among voxels to decipher the category of a stimulus image. Yet, the functional connectivity (FC) patterns across regions of interest in response to image categories, and their potential contributions to category classification are largely unknown.

Authors

  • Chunyu Liu
    College of Information Science and Technology, Beijing Normal University, Beijing, China. Electronic address: lcy@mail.bnu.edu.cn.
  • Sutao Song
    School of Education and Psychology, University of Jinan, Jinan, China. Electronic address: sep_songst@ujn.edu.cn.
  • Xiaojuan Guo
    College of Information Science and Technology, Beijing Normal University, Beijing, China.
  • Zhiyuan Zhu
    Suzhou Jufeng Electrical Insulation System Co., Ltd., Suzhou, Jiangsu 215214, People's Republic of China.
  • Jiacai Zhang
    College of Information Science and Technology, Beijing Normal University, Beijing, China.

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