BACKGROUND: The reported prevalence of @entity302 in @entity195 ( @entity195 ) is variable, probably due to the different methodological approaches. OBJECTIVE: We aimed to define the optimal electroencephalogram (EEG) settings for reliable detection of @entity302 in @entity195 @entity1 . METHODS: We analyzed 24-h EEGs of 5 @entity1 living with @entity195 and @entity302 . The sensitivity of various length EEGs in detecting @entity302 in different periods of the day, the diurnal distribution of the discharges, and their relation to sleep-stages were calculated. RESULTS: Significant high correlation was identified between the sensitivity of EEG and the length of recordings (r=0.972, p=0.005). The sensitivity of a 30-min EEG-epoch recorded between 8:00 and 16:00 was 0.0375 compared to 0.7 between 0:00 and 8:00 (p=0.005). The average sensitivity of an 8-h EEG-epoch was>= 0.8. 82% of @entity302 occurred during sleep, mainly related to non-REM sleep (p<0.001). CONCLUSION: 8-h awake-, or 1-h sleep-EEG provide sufficient sensitivity in detecting @entity302 in @entity195 . This needs to be considered in studies on @entity195 -related @entity302 . Recognizing @entity302 in @entity195 @entity1 is essential because it might compromise cognitive functions and accelerate the progression of the disease.

Sleep EEG Detects Epileptiform Activity in XXXX with High Sensitivity.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity302 :: ('MESH:D004827', 'Disease') :: ['epilepsy', 'epileptiform activity', 'epileptiform discharges'] @entity195 :: ('MESH:D000544', 'Disease') :: ['AD', "Alzheimer's disease"]
@entity195 :: (MESH:D000544,Disease) :: ['Alzheimer's Disease']
