title: Automated quantification of spikes.
abstract: Methods for rapid and objective quantification of interictal spikes in raw, unprocessed electroencephalogram (EEG) samples are scarce. We evaluated the accuracy of a tailored automated spike quantification algorithm. The automated quantification was compared with the quantification by two board-certified clinical neurophysiologists (gold-standard) in five steps: 1) accuracy in a single EEG channel (5 EEG samples), 2) accuracy in multiple EEG channels and across different stages of the sleep-wake cycles (75 EEG samples), 3) capacity to detect lateralization of spikes (6 EEG samples), 4) accuracy after application of a machine-learning mechanism (11 EEG samples), and 5) accuracy during wakefulness only (8 EEG samples). Our method was accurate during all stages of the sleep-wake cycle and improved after the application of the machine-learning mechanism. Spikes were correctly lateralized in all cases. Our automated method was accurate in quantifying and detecting the lateralization of interictal spikes in raw unprocessed EEG samples.
authors.affiliation: Harvard Medical School, Boston, MA, USA.
authors.forename: Vamsidhar
authors.initials: V
authors.lastname: Chavakula
authors.forename: Iván
authors.initials: I
authors.lastname: Sánchez Fernández
authors.forename: Jurriaan M
authors.initials: JM
authors.lastname: Peters
authors.forename: Gautam
authors.initials: G
authors.lastname: Popli
authors.forename: William
authors.initials: W
authors.lastname: Bosl
authors.forename: Sanjay
authors.initials: S
authors.lastname: Rakhade
authors.forename: Alexander
authors.initials: A
authors.lastname: Rotenberg
authors.forename: Tobias
authors.initials: T
authors.lastname: Loddenkemper
mesh_terms: D000465:Algorithms; D002540:Cerebral Cortex / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis* / Q000503:physiopathology; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology; D058067:Wavelet Analysis