Fig. 4: Local properties of slow waves are predictive of mental states.
From: Predicting lapses of attention with sleep-like slow waves
Locally, based on each individual electrode, we performed mixed-effect analyses, following with permutation analysis to quantify the impact of slow-wave properties on mental states. First column: density; second: amplitude; third: downward slope (D-slope); fourth: upward Slope (U-slope). These slow-wave properties were extracted for each electrode and used to compute the t values (shown in each topographical plot) from mixed-effect models on the following comparisons: a MW > ON, b MB > ON and c MB > MW (N = 26 participants). Black dots denote significant clusters of electrodes (pcluster <0.05 corrected for 12 comparisons using a Bonferroni approach, see “Methods”). ON task-focused, MW mind wandering, MB mind blanking.
