Objective: To investigate changes in arm hand skilled performance during and after active rehabilitation in (sub)groups of subjects with cervical spinal cord injuries.
Design: Longitudinal multi-centre cohort study.
Patients: Persons with cervical spinal cord injuries during (n?=?57) and after (n?=?35) rehabilitation.
Methods: Patients from 8 Dutch rehabilitation centres received therapy as usual. At 3 time-points during active rehabilitation and one year after discharge arm hand skilled performance was measured using the Van Lieshout hand function test, the Grasp Release Test (for basic activities) and the Functional Independence Measure and the Quadriplegia Index of Function (for complex activities).
Results: Arm hand skilled performance continues to improve over the entire rehabilitation period, mostly in the first stage of active rehabilitation, and especially in persons with a motor incomplete lesion. Persons with a motor incomplete lesion achieve higher arm hand skilled performance outcome than those with a motor complete lesion. After rehabilitation arm hand skilled performance does not decline.
Conclusion: Monitoring the outcome of arm hand skilled performance at the level of basic and complex activities during the whole rehabilitation phase may guide therapists in further optimizing therapy.
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http://dx.doi.org/10.2340/16501977-0231 | DOI Listing |
Langenbecks Arch Surg
December 2024
Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-Cho, Kita-Ku, Okayama City, Okayama, 700-8558, Japan.
Purpose: Gastric cancer (GC) remains a major malignancy. Robotic gastrectomy (RG) has gained popularity due to various advantages. Despite those advantages, many hospitals lack the necessary equipment for RG and are still performing laparoscopic gastrectomy (LG) due to its established minimal invasiveness and safety.
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March 2025
University of Canberra, Canberra, Australia.
There are contentious and persistent gender differences reported in some measures of spatial skills, particularly mental rotation and, to a lesser extent, perspective-taking, which may have an impact on mathematics success. Furthermore, pathways between spatial skills and mathematics may be mediated by other cognitive factors, such as fluid reasoning. Participants (N = 320, age range 8-12 years) completed measures of mental rotation, perspective-taking, fluid reasoning, and mathematics.
View Article and Find Full Text PDFSci Rep
December 2024
School of Psychological Science, The University of Western Australia, 35 Stirling Highway, Perth, WA, 6009, Australia.
Investigations into whether playing action video games (AVGs) benefit other tasks, such as driving, have traditionally focused on gaming experience (i.e., hours played).
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electronics, Information and Communication Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea.
Autism spectrum disorder (ASD) is a neurologic disorder considered to cause discrepancies in physical activities, social skills, and cognition. There is no specific medicine for treating this disorder; early intervention is critical to improving brain function. Additionally, the lack of a clinical test for detecting ASD makes diagnosis challenging.
View Article and Find Full Text PDFSci Rep
December 2024
College of Sports, Beihua University, Jilin, 132000, China.
In order to eliminate the impact of camera viewpoint factors and human skeleton differences on the action similarity evaluation and to address the issue of human action similarity evaluation under different viewpoints, a method based on deep metric learning is proposed in this article. The method trains an automatic encoder-decoder deep neural network model by means of a homemade synthetic dataset, which maps the 2D human skeletal key point sequence samples extracted from motion videos into three potential low-dimensional dense spaces. Action feature vectors independent of camera viewpoint and human skeleton structure are extracted in the low-dimensional dense spaces, and motion similarity metrics are performed based on these features, thereby effectively eliminating the effects of camera viewpoint and human skeleton size differences on motion similarity evaluation.
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