Test-retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network.

Journal: Journal of neuroscience methods
PMID: 31626847

Abstract

BACKGROUND: Restricted Boltzmann machines (RBMs), including greedy layer-wise trained RBMs as part of a deep belief network (DBN), have the ability to identify spatial patterns (SPs; functional networks) in resting-state fMRI (rfMRI) data. However, there has been little research on (1) the reproducibility and test-retest reliability of SPs derived from RBMs and on (2) hierarchical SPs derived from DBNs.

Authors

  • Hyun-Chul Kim
    Department of Brain and Cognitive Engineering, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, Republic of Korea.
  • Hojin Jang
    Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
  • Jong-Hwan Lee
    Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea. Electronic address: jonghwan_lee@korea.ac.kr.

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