Enhancement of Posture Training Effectiveness With Error-enhancing Feedback and Cerebellar Stimulation
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 100
- 主要终点
- Graph theoretical analysis of EEG functional network
研究概览
简要总结
Motor learning relies on both feedback and feedforward mechanisms to keep progressive optimization of motor behaviors in a coordinated manner. Error correction based on the fronto-parietal loop is subject to error information inherent within visual feedback. On the other hand, cerebellar activity for restoration of efferent copy involves in operation of feedforward mechanism. Therefore, the amount of error feedback and excitation of cerebellum are keyed to effectiveness of motor learning. Although postural training is of empirical value to prevent falling from the elderly, yet none of previous studies have ever been devoted to improve effectiveness of postural training via manipulations of visual error feedback and cerebellar stimulation.
From the aspect of cognition-motor interaction, the present proposal is a three-year project intended to promote effectiveness of postural training for the elderly. In the first year, feedback-based training benefits from a dynamic postural task under the conditions of different visual size of error feedback (error-reducing feedback, error-enhancing feedback, and fixed error feedback) will be contrasted. In the second year, feedforward-based training benefits from a dynamic postural task by application of cerebellum transcranial electrical stimulation (ctDCS) of different modes (direct current vs. noise vs. sham) will be contrasted. In the third year, the proposal will examine whether postural training with combined approach (error-enhancing feedback and ctDCS) could result in a superior training benefit to those of error-enhancing feedback alone and ctDCS alone approaches. In addition to innovative training intervention, this proposal will make use of current non-linear analyses on EEG signals and postural sway with graph analysis and heading analysis, respectively. It is expected to gain additional insight into behavior and brain mechanisms underlying learning-related changes with the postural training, potentially lending to a more effective training paradigm for postural stability of the elderly.
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
- Single (Participant)
入排标准
- 年龄范围
- 60 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
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
研究组 & 干预措施
error-enhancing feedback
The project of the first arm was to investigate how visualized error size affects postural training effect of the elderly, with a particular focus on error amplification strategy to optimize training benefits for postural training that favors the use of feedback mechanism on postural control and error correction. All participants were randomly assigned into the control and error amplification groups. The control group was trained to remain static stance on the stabilometer with visual guidance that displayed the target signal and tilting angle of the stabilometer. For the error amplification group, they were trained with the same postural paradigm, except that the visual guidance was virtually manipulated so that the participants visually perceived twice of the execution errors during stabilometer stance. We contrasted training benefits between the two groups after completion of eight training trails of 1 minute.
positive cerebellar transcranial stimulation
The project of the second arm was to investigate the training benefits of using combined cerebellar transcranial direct current stimulation and visual error amplification on postural training during static stabilometer stance, in reference to sole visual error amplification. A particular focus was training-related alterations in error correction strategy and underlying cortical plasticity for postural balance.They were randomly assigned into the control (traditional error amplification)and cerebellar transcranial direct current stimulation groups. Both groups were trained to remain static stance on the stabilometer with visual guidance that displayed the target signal and tilting angle of the stabilometer. Under the condition of visual feedback without error amplification, we again contrasted training benefits between the two groups after completion of eight training trails of 1 minute.
干预措施: cerebellar transcranial stimulation (Device)
sham cerebellar transcranial stimulation
The project of the third arm was to investigate the training benefits of using combined cerebellar transcranial random current stimulation and visual error amplification on postural training during static stabilometer stance, in reference to sole visual error amplification. A particular focus was training-related alterations in error correction strategy and underlying cortical plasticity for postural balance. All participants were randomly assigned into the control (sham stimulation) and cerebellar transcranial random current stimulation and visual error amplification (ES) groups. Both groups were trained to remain static stance on the stabilometer with visual guidance that displayed the target signal and tilting angle of the stabilometer. Under the condition of visual feedback without error amplification, we again contrasted training benefits between the two groups after completion of eight training trails of 1 minute.
干预措施: cerebellar transcranial stimulation (Device)
结局指标
主要结局
Graph theoretical analysis of EEG functional network
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.This project introduced EEG pattern analysis into the posture research project. It is expected to find out the changes in brain network efficiency and functional structure caused by posture training. It is a tool for understanding the neural mechanism of this project.
次要结局
- heading analysis of center of pressure(through study completion, an average of 1 year)