Decoding Attentional Task Performance Using Electroencephalogram Signals

Abstract

Background: Electroencephalogram patterns help in evaluating the extent of ischemic brain injury and predicting functional performance. Aim: To determine a possible correlation between attentional task performance and electroencephalogram waves. Methods: The cerebral activity of 12 healthy young adults was investigated using an electroencephalogram while they underwent the TrailMaking Test-A and B as attentional tasks. Results: A significant correlation was observed between a stronger occipital delta power during rest and higher error rates, as well as weaker temporal and central delta power during the Trail-Making Test-B and longer task completion times. Delta waves during both the resting-state and task conditions correlated with task performance, which might be affected by the induced cerebral lobes. Conclusion: The default mode network might predict attention deficits. Our findings further our understanding of the correlation between the default mode network and attentional task performance