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临床试验/NCT04137952
NCT04137952已完成不适用

The Use of Neuro-cognitive Strategies to Power Generalization Effect After Short-term Postural Training for Older Adults

National Cheng-Kung University Hospital2 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2019年8月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
150
试验地点
2
主要终点
EEG graph analysis

研究概览

简要总结

Generalization refers to skill transfer under various working spaces following motor practice. The extent of generalization effect links causal to in-depth recognition of error properties during motor practice. Idiom says "imperfect practice makes perfect". It could be beneficial for the elderly to gain superior capacity of balance transfer skill under the short-term productive failure learning environments. In contrast to traditional visual feedback that uses error avoidance training to optimize target balance task, the present 3-year proposal is to propose three potential neuro-cognitive strategies to improve motor skill transfer following stabilometer training. The strategies are expected to enhance opportunities of error experience and motor exploration via modified visual feedback, underlying facilitations of attentional resource and error-related neural networks. In the first year, the neuro-cognitive strategy for balance practice is progressive augmentation of visual error size to improve balance skill transfer. In the second year, the neuro-cognitive strategy for balance practice is visual feedback with virtual uncertainness of motor goal. In the third year, the neuro-cognitive strategy for balance practice is stroboscopic vision. EEG and central of pressure will be processed with non-linear approaches. Graph theory will characterize EEG functional connectivity and brain network efficiency regarding to brain mechanisms for practice-related leaning transfer. Trajectories of central of pressure will be analyzed with stabilogram diffusion analysis to reveal behavior mechanisms for practice-related variations in feedback and feedforward process for error corrections.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Basic Science
盲法
None

入排标准

年龄范围
60 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age above 60 years old healthy older adults without a history of falls.
  • Able to understand and give informed consent.
  • The Mini-Mental State Examination test score above 25-
  • Lower limb muscle strength is evaluated as G grade
  • The corrected visual acuity was within the normal range.

排除标准

  • Any known history of mental illness
  • Any neuromuscular or degenerative neurological disease(ex:stroke、SCI、TBI...etc)
  • Any known history of cerebral cerebellar disease or intracranial metal implants.
  • Weak of hearing or wearing a hearing aid

结局指标

主要结局

EEG graph analysis

时间窗: through study completion, an average of 1 year

Graph theory will characterize EEG functional connectivity and brain network efficiency regarding to brain mechanisms for practice-related leaning transfer.

次要结局

  • stabilogram diffusion analysis of central of pressure(through study completion, an average of 1 year)
  • root mean sqaure error of stabilometer(through study completion, an average of 1 year)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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