脑卒中后认知障碍的神经康复与计算机程序的应用

S. Prokopenko, E. Mozheyko, T. D. Koryagina, M. Petrova, D. Kaskaeva, T. Chernykh, É. M. Arakchaa
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引用次数: 4

摘要

本研究的目的是评估使用计算机矫正程序对认知功能障碍进行神经康复的新方法的有效性。对脑卒中后患者26例(男12岁,女14岁)进行检查和治疗。除常规恢复性治疗外,所有患者均在14天内接受神经心理学计算机程序训练,持续时间为25-35分钟。任务包括在舒尔特测试的基础上使用计算程序训练注意力,用一组图片和符号训练视觉存储的任务,切换测试,用叙事图像测试校正光学和空间判断,以及“时钟指针的排列”测试,并提供反馈的可能性。使用迷你精神状态检查、正面评估测试、时钟绘制测试、蒙特利尔认知评估、舒尔特测试来评估初始水平的认知损伤和恢复结果。在神经康复方案中纳入认知障碍矫正的计算机程序的第一次经验在临床表现和患者整体印象量表方面显示出良好的效果。虽然结果令人鼓舞,但需要进一步的研究,以更大的样本和更长时间的随访,以确定那些最有可能从认知功能计算训练中受益的患者的特征。
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Neurorehabilitation of poststroke cognitive impairments with the use of computed programs
The purpose of the present research was the estimation of efficiency of new methods of neurorehabilitation of impairments of cognitive functions with the use of computer programs of correction. Twenty six post-stroke patients aged 57–69, (male - 12, female - 14) were examined and treated. In addition to usual restorative treatment all patients received a course of neuropsychological computer programs training within 14 days, 25–35 min of duration. Tasks included training of attention with use of the computed programs on the basis of Schulte's test, the task for training visual storing with a set of pictures and symbols, the switching test, correction optical and spatial gnosis with test of narrative images and the test of «arrangements of hands of the clock» with possibility of a feedback. Initial level cognitive impairments and results of restoration were estimated with the use of Mini Mental State Examination, Frontal Assessment Battery, the Clock Drawing Test, the Montreal Cognitive Assessment, Schulte's test. The first experience of inclusion of the computed programs of correction of cognitive impairments in schemes of neurorehabilitation has shown good effect concerning clinical displays, and concerning Patient Global Impression Scale. Although the results are encouraging, further studies are required with larger samples and longer follow-up to identify characteristics of those patients who are most likely to benefit from computed training of cognitive functions.
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