التفاصيل البيبلوغرافية
| العنوان: |
Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury |
| المؤلفون: |
Cajigas, Iahn, Davis, Kevin C, Meschede-Krasa, Benyamin, Prins, Noeline W, Gallo, Sebastian, Naeem, Jasim Ahmad, Palermo, Anne, Wilson, Audrey, Guerra, Santiago, Parks, Brandon A, Zimmerman, Lauren, Gant, Katie, Levi, Allan D, Dietrich, W Dalton, Fisher, Letitia, Vanni, Steven, Tauber, John Michael, Garwood, Indie C, Abel, John H, Brown, Emery N, Ivan, Michael E, Prasad, Abhishek, Jagid, Jonathan |
| المساهمون: |
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| المصدر: |
Oxford University Press |
| بيانات النشر: |
Oxford University Press (OUP) |
| سنة النشر: |
2023 |
| المجموعة: |
DSpace@MIT (Massachusetts Institute of Technology) |
| الوصف: |
Abstract 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. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
Brain Communications; https://hdl.handle.net/1721.1/148703Test; Cajigas, Iahn, Davis, Kevin C, Meschede-Krasa, Benyamin, Prins, Noeline W, Gallo, Sebastian et al. 2021. "Implantable brain–computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury." Brain Communications, 3 (4). |
| الإتاحة: |
https://hdl.handle.net/1721.1/148703Test |
| حقوق: |
Creative Commons Attribution 4.0 International license ; https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.DE98549F |
| قاعدة البيانات: |
BASE |
