Distinct temporal patterns of beta bursts differentiate successful and failed movement cancellation

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Brain Activity Analysis

Background:

• Beta bursts, characterized by transient increases in beta-band brain activity, are linked to action stopping.
• The precise temporal dynamics of beta bursts in relation to the stop process remain incompletely understood.

Purpose of the Study:

• To investigate how the temporal dynamics of beta bursts map onto the action stopping process.
• To determine if beta burst timing differentiates successful from failed movement cancellations.

Main Methods:

• Analysis of human electroencephalography (EEG) data during a stop-signal task.
• Utilized temporal decoding and low-dimensional neural trajectory analyses.
• Examined beta burst rates and amplitudes across different time windows relative to the stop signal.

Main Results:

• Frontal beta burst rates increased earlier following the stop signal in successfully canceled movements compared to failed ones.
• Multi-channel beta burst patterns diverged earlier between stop and go trials for successful stops.
• Narrowing the analysis window near stop-signal reaction time (SSRT) revealed clearer neural signatures of inhibitory control, unlike traditional beta amplitude measures.

Conclusions:

• Beta burst dynamics, specifically their onset timing, provide crucial insights into inhibitory control.
• The temporal characteristics of beta bursts, rather than their amplitude, better reflect the stop process.
• Variability in movement cancellation behavior may be explained by differences in the onset timing of the stop process reflected in beta bursts.