A Strategy to Reduce Bias of Entropy Estimates in Resting-State fMRI Signals

@article{Yang2018AST,
  title={A Strategy to Reduce Bias of Entropy Estimates in Resting-State fMRI Signals},
  author={Albert C. Yang and S. Tsai and C. Lin and Chung-Kang Peng},
  journal={Frontiers in Neuroscience},
  year={2018},
  volume={12}
}
  • Albert C. Yang, S. Tsai, +1 author Chung-Kang Peng
  • Published 2018
  • Medicine, Psychology
  • Frontiers in Neuroscience
  • Complexity analysis of resting-state blood oxygen level-dependent (BOLD) signals using entropy methods has attracted considerable attention. However, investigation on the bias of entropy estimates in resting-state functional magnetic resonance imaging (fMRI) signals and a general strategy for selecting entropy parameters is lacking. In this paper, we present a minimizing error approach to reduce the bias of sample entropy (SampEn) and multiscale entropy (MSE) in resting-state fMRI data. The… CONTINUE READING
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