Stt-eeg

1. Stt-eeg predicts Mini-Mental State Examination in silico (r = 0.872, MAE = 2.34 points).

   “For continuous prediction of MMSE scores, the Pearson correlation of the model was 0.872 and the mean absolute error (MAE) was 2.34 points.”

   In silicocontinuous prediction of MMSE scores

   Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease

   Frontiers in neuroinformatics·27 Aug 2026

More on Mini-Mental State Examination

1. Stt-eeg predicts AD vs. CN classification accuracy in silico (96.42% accuracy).

   “On the same dataset, the accuracy of STT-EEG was 96.42% for AD vs. CN classification.”

   In silicoAD vs. CN classification on OpenNeuro dataset

   Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease

   Frontiers in neuroinformatics·27 Aug 2026