Pre-stimulus alpha phase-alignment predicts P1-amplitude
R Fellinger1, W Klimesch, W Gruber
1University of Salzburg, Department of Physiological Psychology, Austria.
Brain Research Bulletin
|April 9, 2011
Summary
Ongoing brain oscillations, not just evoked responses, influence event-related potentials (ERPs). Pre-stimulus alpha phase concentration, a continuous development of alpha waves, is linked to larger ERP components, challenging the notion of random background noise.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Electrophysiology
Background:
- A long-standing debate exists regarding the generation of event-related potentials (ERPs).
- The debate centers on whether ERPs arise from evoked components or the resetting of ongoing neural phase.
- This study explores the role of ongoing neural oscillations in ERP generation.
Purpose of the Study:
- To investigate the influence of ongoing neural phase on event-related potentials (ERPs).
- To determine if pre-stimulus neural activity, specifically alpha oscillations, affects ERP components.
- To challenge the view that ongoing oscillations are merely random background noise.
Main Methods:
- Analysis of ongoing pre-stimulus alpha activity across multiple trials.
- Examination of the temporal distribution of positive peaks in ongoing alpha activity.
- Correlation analysis between pre-stimulus alpha phase concentration and ERP component amplitude (specifically P1).
Main Results:
- Positive peaks of ongoing pre-stimulus alpha activity were not randomly distributed in time.
- A specific type of pre-stimulus alpha phase concentration, showing continuous development, was associated with an enlarged P1 component.
- This suggests a direct link between the state of ongoing oscillations and subsequent ERP generation.
Conclusions:
- Ongoing oscillations are not random background noise, even before stimulus onset.
- Phase-resetting is not the sole mechanism; other phase-related mechanisms contribute to ERP generation.
- The findings support a more complex model of ERP generation involving the interplay of ongoing neural activity and evoked components.


