A growing number of evidences have shown that spontaneous brain activity influences behaviour. Specifically, a considerable portion of the trial-to-trial variability in visual perception can be accounted by parameters of ongoing oscillations as measured by EEG, such as power and phase in the α band [1]. A typical paradigm employs near-threshold stimuli; however, valuable insights may arise from the psychometric function, obtained by presenting a wider range of stimulus intensities [2]. In the present work, we describe a formal model with the aim of addressing the demanding issue of how pre-stimulus power and phase contribute to perception, in terms of underlying physiological mechanisms. Based on subthreshold oscillations features, we estimate the response probability of the system as a function of stimulus intensity: it showed a sigmoid shape, resembling the psychometric curve. We identified three main mechanisms in the neural population which affect the response probability function in a specific way: the amplitude of subthreshold oscillations, the degree of synchronization, and the excitation-inhibition balance. Since all these features may contribute to EEG power, in non-invasive studies they cannot be distinguished from each other. We hypothesize that changes observed behaviourally in the psychometric function would provide suggestions on the involved neurophysiological mechan isms.
Zazio, A., Bortoletto, M., Miniussi, C. (2018). Ongoing oscillations: how do they affect perception?. In Atti del congresso "PEPA ON Stimulation: Perturbing and Enhancing Perception and Action using Oscillatory Neural Stimulation".
Ongoing oscillations: how do they affect perception?
Zazio, A;
2018
Abstract
A growing number of evidences have shown that spontaneous brain activity influences behaviour. Specifically, a considerable portion of the trial-to-trial variability in visual perception can be accounted by parameters of ongoing oscillations as measured by EEG, such as power and phase in the α band [1]. A typical paradigm employs near-threshold stimuli; however, valuable insights may arise from the psychometric function, obtained by presenting a wider range of stimulus intensities [2]. In the present work, we describe a formal model with the aim of addressing the demanding issue of how pre-stimulus power and phase contribute to perception, in terms of underlying physiological mechanisms. Based on subthreshold oscillations features, we estimate the response probability of the system as a function of stimulus intensity: it showed a sigmoid shape, resembling the psychometric curve. We identified three main mechanisms in the neural population which affect the response probability function in a specific way: the amplitude of subthreshold oscillations, the degree of synchronization, and the excitation-inhibition balance. Since all these features may contribute to EEG power, in non-invasive studies they cannot be distinguished from each other. We hypothesize that changes observed behaviourally in the psychometric function would provide suggestions on the involved neurophysiological mechan isms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.