Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury

Имплантируемый интерфейс мозг — компьютер для восстановления произвольного захвата кистью с использованием нейропротеза при травме спинного мозга
Emery N. Brown, Michael E. Ivan, W. Dalton Dietrich, Abhishek Prasad, Allan D. Levi, Kevin Davis, Brandon A Parks, Iahn Cajigas, Jonathan Russell Jagid, Benyamin Meschede-Krasa, Noeline W. Prins, Sebastian Gallo, Jasim Naeem, Anne E. Palermo, Audrey Wilson, Santiago Guerra, Lauren Zimmerman, Katie L. Gant, Letitia Fisher, Steven Vanni, John Tauber, Indie C. Garwood, John H. Abel
2021-10-01

electrocorticographyfunctional electrical stimulationimplantable brain-computer interfaceneuroprosthetic hand graspspinal cord injury
Loss of hand function after cervical spinal cord injury severely impairs functional independence. We describe a method for restoring volitional control of hand grasp in one 21-year-old male subject with complete cervical quadriplegia (C5 American Spinal Injury Association Impairment Scale A) using a portable fully implanted brain-computer interface within the home environment. The brain-computer interface consists of subdural surface electrodes placed over the dominant-hand motor cortex and connects to a transmitter implanted subcutaneously below the clavicle, which allows continuous reading of the electrocorticographic activity. Movement-intent was used to trigger functional electrical stimulation of the dominant hand during an initial 29-weeks laboratory study and subsequently via a mechanical hand orthosis during in-home use. Movement-intent information could be decoded consistently throughout the 29-weeks in-laboratory study with a mean accuracy of 89.0% (range 78-93.3%). Improvements were observed in both the speed and accuracy of various upper extremity tasks, including lifting small objects and transferring objects to specific targets. At-home decoding accuracy during open-loop trials reached an accuracy of 91.3% (range 80-98.95%) and an accuracy of 88.3% (range 77.6-95.5%) during closed-loop trials. Importantly, the temporal stability of both the functional outcomes and decoder metrics were not explored in this study. A fully implanted brain-computer interface can be safely used to reliably decode movement-intent from motor cortex, allowing for accurate volitional control of hand grasp.
1
A portable, fully implanted brain–computer interface enabled volitional hand-grasp control in one man with complete C5 quadriplegia.
2
At home, decoding accuracy reached 91.3% during open-loop trials and 88.3% during closed-loop trials; long-term temporal stability was not assessed.
3
During 29 weeks of laboratory testing, movement intent was decoded with mean accuracy of 89.0% (range 78–93.3%).
4
Subdural motor-cortex electrodes and a subcutaneous transmitter continuously recorded electrocorticographic activity for movement-intent decoding.
5
The system improved speed and accuracy on upper-extremity tasks, including lifting small objects and transferring objects to targets.

A fully implanted brain–computer interface enabling hand-grasp control in a person with complete cervical spinal cord injury

Reliable decoding of motor-cortex movement intent and its use for accurate volitional hand-grasp control and upper-extremity task performance

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Publication Date
2021-10-01
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Authors
Emery N. Brown
Michael E. Ivan
W. Dalton Dietrich
Abhishek Prasad
Allan D. Levi
Kevin Davis
Brandon A Parks
Iahn Cajigas
Jonathan Russell Jagid
Benyamin Meschede-Krasa
Noeline W. Prins
Sebastian Gallo
Jasim Naeem
Anne E. Palermo
Audrey Wilson
Santiago Guerra
Lauren Zimmerman
Katie L. Gant
Letitia Fisher
Steven Vanni
John Tauber
Indie C. Garwood
John H. Abel
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