Affiliation:
1. School of Management Technische Universität München Munich Germany
2. Department of Psychology Ludwig‐Maximilians‐Universität München Munich Germany
3. Munich Center for NeuroSciences–Brain & Mind Munich Germany
4. NICUM–NeuroImaging Core Unit Munich Munich Germany
Abstract
AbstractPrevious work has indicated that individual differences in cognitive performance can be predicted by characteristics of resting state oscillations, such as individual peak alpha frequency (IAF). Although IAF has previously been correlated with cognitive functions, such as memory, attention, or mental speed, its link to cognitive conflict processing remains unexplored. The current work investigated the relationship between IAF and inhibitory cognitive control in two well‐established conflict tasks, Stroop and Navon task, while also controlling for alpha power, theta power, and the 1/f offset of aperiodic broadband activity. In Bayesian analyses on a large sample of 127 healthy participants, we found substantial evidence against the assumption that IAF predicts individual abilities to spontaneously exert cognitive control. Similarly, our findings yielded substantial evidence against links between cognitive control and resting state power in the alpha and theta bands or between cognitive control and aperiodic 1/f offset. In sum, our results challenge frameworks suggesting that an individual's ability to spontaneously engage attentional control networks may be mirrored in resting state EEG characteristics.
Funder
Hanns-Seidel-Stiftung
Deutsche Forschungsgemeinschaft