Individual peak alpha frequency does not index individual differences in inhibitory cognitive control.

Area of Science:

• Neuroscience
• Cognitive Psychology
• Electroencephalography (EEG)

Background:

• Individual differences in cognitive performance are often linked to resting-state brain oscillations.
• Individual peak alpha frequency (IAF) has been correlated with memory, attention, and mental speed.
• The relationship between IAF and cognitive conflict processing is largely unexplored.

Purpose of the Study:

• To investigate the relationship between IAF and inhibitory cognitive control.
• To examine if resting-state EEG characteristics predict performance on cognitive conflict tasks.
• To control for other EEG measures like alpha power, theta power, and aperiodic 1/f offset.

Main Methods:

• Bayesian analyses were performed on data from 127 healthy participants.
• Participants completed the Stroop and Navon tasks to assess cognitive conflict.
• Resting-state EEG data were recorded and analyzed for IAF, alpha power, theta power, and aperiodic 1/f offset.

Main Results:

• Substantial evidence was found against IAF predicting spontaneous cognitive control.
• No significant links were detected between cognitive control and resting-state alpha power, theta power, or aperiodic 1/f offset.
• These findings challenge existing frameworks linking resting-state EEG to attentional control networks.

Conclusions:

• Resting-state EEG characteristics, including IAF, do not reliably predict individual differences in cognitive conflict processing.
• The ability to spontaneously engage attentional control networks may not be reflected in resting-state EEG measures.
• Further research is needed to understand the neural basis of individual differences in cognitive control.