Rhythmic activity in resting-state EEG predicts trait anxiety.

Area of Science:

• Neuroscience
• Psychology

Background:

• Trait anxiety involves persistent apprehension and worry, with individual differences.
• Identifying physiological markers can deepen the understanding of anxiety mechanisms.

Purpose of the Study:

• To investigate if resting-state electroencephalography (EEG) oscillations predict trait anxiety.
• To explore the relationship between specific EEG rhythmic activity and anxiety levels.

Main Methods:

• Measured resting-state EEG activity (eyes-open/eyes-closed) in participants.
• Assessed trait anxiety using the Behavioral Inhibition Scale (BIS).
• Employed multiple regression analyses to correlate EEG patterns with BIS scores.

Main Results:

• Higher frontal midline theta and lower frontal midline alpha activity during eyes-open rest predicted higher BIS scores.
• Frontal midline theta and alpha oscillations met stricter rhythmicity criteria.
• Parietal midline alpha power, but not oscillations, predicted BIS scores during eyes-open rest.
• Alpha asymmetry did not predict BIS scores.

Conclusions:

• Heightened frontal midline theta may signify increased baseline vigilance in high trait anxiety individuals.
• Lower frontal midline alpha could suggest greater cortical activation related to inhibition and cognitive control.
• Distinguishing between EEG power and oscillation effects clarifies previous research ambiguities.