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
2021-10-01
SCID: 54.1/kv2qzsht
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electrocorticographyfunctional electrical stimulationimplantable brain-computer interfaceneuroprosthetic hand graspspinal cord injury
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Abstract (AI)
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.
Key Findings
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.
Research Object
A fully implanted brain–computer interface enabling hand-grasp control in a person with complete cervical spinal cord injury
Research Subject
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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2021-10-01
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