Decoding personalized motor cortical excitability states from human electroencephalography

HIGHLIGHTS

• who: Sara J. Hussain from the University of have published the article: Decoding personalized motor cortical excitability states from human electroencephalography, in the Journal: Scientific Reports Scientific Reports
• what: Data analyzed in this study have been published p u00ad reviously25,30 and are publicly available (https://u200bopennu200beuro.u200borg/u200bdatasu200bets/u200bds002u200b094/u200bversiu200bons/1.u200b0.0).
• how: EMG data were analyzed using custom-written scripts in MATLAB combined with u00adFieldTrip32. The authors used multivariate pattern classification to identify personalized M1 excitability states from human EEG recordings.

SUMMARY

AUC values of personalized . . .

 



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