인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Degenerative cervical myelopathy (DCM), the leading cause of non-traumatic spinal cord injury, frequently results in impaired hand dexterity. While surgical decompression is the primary treatment, over 40% of patients report residual hand disability after surgery. There are no therapies to restore hand function after surgery for DCM. In this single-arm clinical trial, post-surgical DCM participants (within 12 months after surgery) underwent a 4-week VR training protocol using the Virtual Keyboard system, which promotes practice of finger individuation. Assessments of hand dexterity were performed at baseline (at week 1), post-training (at week 6) and follow-up (at week 10). The primary outcome measure for hand dexterity assessment was the Jebsen-Taylor Hand Function Test (JTHFT). Twenty-two post-surgical DCM participants were included in the final analysis. Statistically significant improvement in the JTHFT was observed at both post-training (p < 0.001, Δ= -15.21s) and follow-up (p < 0.001, Δ= -17.84s), with changes exceeding the Minimal Clinically Important Difference (MCID) at both time points. VR hand training also produced significant, sustained and clinically meaningful improvements in quantitative hand dexterity tests and health-related quality of life. The results of this uncontrolled, single-arm study demonstrate the feasibility and efficacy of targeted neurorehabilitation to augment post-surgical neurological recovery in people with DCM.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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