Abstract
Background: The timing of an event within an oscillatory phase is considered to be one of the key strategies used by the brain to code and process neural information. Whereas existing methods of studying this phenomenon are chiefly based on retrospective analysis of electroencephalography (EEG) data, we now present a method to study it prospectively.New method: We present a system that allows for the delivery of visual stimuli at a specific phase of the cortical theta oscillation by fitting a sine to raw surface EEG data to estimate and predict the phase. One noteworthy feature of the method is that it can minimize potentially confounding effects of previous trials by using only a short sequence of past data.Results: In a trial with 10 human participants we achieved a significant phase locking with an inter-trial phase coherence of 0.39. We demonstrated successful phase locking on synthetic signals with a signal-to-noise ratio of less than − 20 dB.Comparison with existing method(s): We compared the new method to an autoregressive method published in the literature and found the new method was superior in mean phase offset, circular standard deviation, and prediction latency.Conclusions: By fitting sine waves to raw EEG traces, we locked visual stimuli to arbitrary phases within the theta oscillatory cycle of healthy humans.
Highlights
As early as 1929 rhythmic variations of the electric potential were recorded from the surface of the human brain in the absence of external stimulation (Berger, 1929)
Oscillations are typically measured from electroencephalogram (EEG) data
The power and frequency in the alpha and theta range have been linked to attention and perception (Ishii et al, 1999; Thut et al, 2006; Kastner et al, 1999)
Summary
As early as 1929 rhythmic variations of the electric potential were recorded from the surface of the human brain in the absence of external stimulation (Berger, 1929). Such spontaneous oscillations are ubiqui tous in brains of humans and animals (Basar and Güntekin, 2008), can be observed both in sleep and awake states, and are influenced by exand intrinsic factors (Karakas and Barry, 2017; Dang-Vu, 2012). New method: We present a system that allows for the delivery of visual stimuli at a specific phase of the cortical theta oscillation by fitting a sine to raw surface EEG data to estimate and predict the phase. One noteworthy feature of the method is that it can minimize potentially confounding effects of previous trials by using only a short sequence of past data
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