They presented different movie clips comprising everyday natural scenes to trained monkeys. As the monkeys watched, their brain activity was documented via EEG and via electrodes that were placed directly on the neurons, thus enabling a primary comparison between data pieces. Specifically, they noticed that the firing pattern of cells was highest during intervals where bursts of ‘fast’ EEG activity had been embedded within the slow-wave EEG. As the amount of this so-called ‘frequency band coupling’ changed, therefore did the cells firing rate also. ‘We succeeded in determining which areas of the EEG greatest represent adjustments in the activity from a human population of neurons in the brain’, explains Kevin Whittingstall.The prevalence of atrial fibrillation on follow-up electrocardiography was compared between study groups with the use of Fisher’s exact test, and the procedure effect was expressed as relative risks. Enough time to outcomes such as cardioversion or hospitalization for atrial fibrillation was assessed by using the Kaplan-Meier method, and differences between your scholarly study groupings were compared with the usage of the log-rank test. In the transtelephonic monitoring substudy, enough time to a first bout of recurrent atrial fibrillation in each group was examined by using a plot of conditional probability. A second analysis was conducted with the use of the recurrent-occasions model13 to be able to include each individual episode of recurrent atrial fibrillation.