A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development.

Journal: IEEE transactions on bio-medical engineering
Published Date: Nov 21, 2024

Abstract

OBJECTIVE: Brain dynamic effective connectivity (dEC), characterizes the information transmission patterns between brain regions that change over time, which provides insight into the biological mechanism underlying brain development. However, most existing methods predominantly capture fixed or temporally invariant EC, leaving dEC largely unexplored.

Authors

  • Yingying Wang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Chen Qiao
    Beijing Traditional Chinese Medicine Office for Cancer Prevention and Control, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
  • Gang Qu
    J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, United States.
  • Vince D Calhoun
    Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico; Department of Neurosciences, University of New Mexico, Albuquerque, New Mexico.
  • Julia M Stephen
  • Tony W Wilson
  • Yu-Ping Wang
    School of Science and Engineering and School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.

Keywords

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