Multiscale entropy in a 10-minute vigilance task.

Area of Science:

• Neuroscience
• Cognitive Science
• Complexity Science

Background:

• Multiscale entropy (MSE) quantifies brain signal complexity across time scales.
• Previous research links increased MSE at lower time scales to time-on-task fatigue.
• MSE has not been evaluated in short-duration vigilance tasks (≤10 minutes).

Purpose of the Study:

• To investigate MSE changes during a 10-minute Psychomotor Vigilance Test (PVT).
• To determine if MSE can serve as a marker for fatigue onset in short vigilance tasks.
• To explore differences in entropy patterns between fast and slow performers.

Main Methods:

• Thirty-four participants completed a 10-minute PVT while neural data was recorded.
• MSE was analyzed by comparing the initial 2 minutes to the 7th and 8th minutes of the PVT.
• Separate analyses were conducted for fast and slow performers.

Main Results:

• MSE at lower time scales increased from earlier to later stages of the PVT.
• Significant differences in entropy patterns were observed between fast and slow performers, particularly in visual cortices.
• A brain-behavior linkage between entropy and reaction time was found in slow performers.

Conclusions:

• MSE is a sensitive marker for detecting time-on-task fatigue onset even in short vigilance tasks.
• Differential entropy patterns in fast versus slow performers suggest distinct neural mechanisms of fatigue.
• Entropy measures over sensory cortices may predict fatigue onset or state changes (on-task to off-task).