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Applications of Diffusion Tensor MRI to Predict Motor Recovery of Stroke Patients in the Chronic Stages
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  • Applications of Diffusion Tensor MRI to Predict Motor Recovery of Stroke Patients in the Chronic Stages
  • Applications of Diffusion Tensor MRI to Predict Motor Recovery of Stroke Patients in the Chronic Stages
저자명
Tae. Ki-Sik,Song. Sung-Jae,Kim. Young-Ho
간행물명
Journal of biomedical engineering research : the official journal of the Korean Society of Medical & Biological Engineering
권/호정보
2008년|29권 2호|pp.114-121 (8 pages)
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대한의용생체공학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Within 2 to 5 months after stroke, patients recover variable degrees of function, depending on the initial deficit. An impaired hand function is one of the most serious disability in chronic stroke patients. Therefore, to evaluate the extent of motor dysfunction in the hemiplegic hand is important in stroke rehabilitation. In this paper, motor recoveries in 8 chronic stroke patients with Fugl-Meyer (FM) and white matter changes before and after the training program with a designed bilateral symmetrical arm trainer (BSAT) system were examined. The training was performed at 1 hr/day, 5 days/week during 6weeks. In all patients, FM was significantly improved after the 6-week training. Diffusion tensor imaging (DTI) results showed that tractional anisotropy ratio (FAR) and fiber tracking ratio (FTR) in the posterior internal capsule were significantly increased after the training. It seemed that the cortical reorganization was induced by the 6 week training with the BSAT. In all parameters proposed this study, a significant correlation was found between these parameters (FAR and FTR) and motor recoveries. This study demonstrated that DTI technique could be useful in predicting motor recovery in chronic hemiparetic patients.