Why the study?
Although individual alpha frequency (IAF) has been correlated with cognitive functions like memory, attention, or mental speed, its relation to cognitive conflict processing remained unexplored.
Does individual alpha frequency (IAF) at rest predict inhibitory cognitive control in Stroop and Navon tasks in healthy individuals?
Does individual alpha frequency (IAF) at rest predict inhibitory cognitive control in Stroop and Navon tasks in healthy individuals?
Individual alpha frequency extracted from a short resting state EEG measurement can predict different aspects of cognitive control in computerized conflict tasks.
May index cognitive control via brief resting EEG; hypothesis-generating for biomarker validation in broader cohorts.
Previous work has indicated that individual differences in cognitive performance can be predicted by characteristics of resting state alpha oscillations, such as individual alpha frequency (IAF). Although IAF has previously been correlated with cognitive functions such as memory, attention, or mental speed, its relation to cognitive conflict processing remains unexplored. The current work investigated the relation between IAF and inhibitory cognitive control in two well-established conflict tasks: Stroop and Navon task. In a sample of 55 healthy individuals, we found that IAF measured at rest was significantly related to cognitive control in the Stroop conflict task. Moreover, IAF was predictive of practice-dependent performance changes in the Navon task. Notably, these effects were specific to IAF, but did not extend to resting state power in the alpha band or theta band. Taken together, our study reveals that the two computerized conflict tasks assess different aspects of cognitive control that can be predicted based on IAF extracted from a short resting state EEG measurement.
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Busch et al. (2023) studied this question.
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