Large-scale network metrics improve the classification performance of rapid-eye-movement sleep behavior disorder patients
M. Roascio, R. Turrisi, D. Arnaldi, F. Fama, P. Mattioli, F. M. Nobili, A. Barla, G. Arnulfo
This paper shows that using network-based metrics in hdEEG data improves classification of iRBD patients compared to traditional Fourier-based methods.
bioRxiv · Aug 16, 2022 · PreprintBioengineering