Identification of memory reactivation during sleep by EEG classification.

摘要: Memory reactivation during sleep is critical for consolidation, but also extremely difficult to measure as it subtle, distributed and temporally unpredictable. This article reports a novel method detecting such in standard recordings. During learning, participants produced complex sequence of finger presses, with each cued by distinct audio-visual stimulus. Auditory cues were then re-played subsequent trigger neural through known targeted memory (TMR). Next, we used electroencephalography data from the learning session train machine classifier, applied this classifier determine how successfully tone had elicited reactivation. Neural was classified above chance all when TMR SWS, 5 14 whom N2. Classification success reduced across numerous repetitions cue, suggesting either gradually reducing responsiveness or plasticity-related change signature result cueing. We believe will be valuable future investigations consolidation.