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Generalizable cursor click decoding using grasp-related neural transients.

Brian M Dekleva^1,2,3, Jeffrey M Weiss¹, Michael L Boninger^1,2,4,5

¹Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, United States of America.

Journal of Neural Engineering

|July 21, 2021

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This summary is machine-generated.

Researchers improved cursor click control for brain-computer interfaces by decoding neural signals associated with hand grasp. This new method enhances control for both point-and-click and click-and-drag functions, aiding independence for those with motor impairments.

Area of Science:

Neuroscience
Biomedical Engineering
Rehabilitation Technology

Background:

Intracortical brain-computer interfaces (iBCI) offer potential for restoring function in individuals with severe motor impairments.
Current iBCI technology primarily focuses on cursor control, with click functionality being a key area for improvement.

Purpose of the Study:

To enhance cursor click decoding for iBCI systems.
To enable both point-and-click and click-and-drag cursor control functionalities.
To improve the clinical translation potential of iBCI technology.

Main Methods:

Utilized chronic microelectrode arrays implanted in the motor cortex of two participants with tetraplegia.
Identified and analyzed neural responses associated with attempted hand grasp.

Keywords:

computer access cursor click intracortical brain–computer interface motor cortex

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Developed a novel click decoding approach based on salient neural response components (transients).

Main Results:

Discovered three dominant neural components related to hand grasp: onset transient, sustained, and offset transient responses.
Transient responses demonstrated higher magnitude and reliability compared to sustained responses.
The transient-based click decoder significantly outperformed standard binary state classification methods.

Conclusions:

A transient-based decoding approach offers robust cursor click control for iBCI.
This method supports both point-and-click and click-and-drag operations, advancing generalized click functionality.
Improved cursor control is a critical step toward high-performance iBCI and clinical application.