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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04137952
Other study ID # MOST 108-2314-B-006-071 -
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date August 1, 2019
Est. completion date December 30, 2022

Study information

Verified date June 2021
Source National Cheng-Kung University Hospital
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

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.


Recruitment information / eligibility

Status Completed
Enrollment 150
Est. completion date December 30, 2022
Est. primary completion date December 30, 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 60 Years and older
Eligibility Inclusion Criteria: - 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 25-30. - Lower limb muscle strength is evaluated as G grade - The corrected visual acuity was within the normal range. Exclusion Criteria: - 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

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
size of error visual feedback
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.

Locations

Country Name City State
Taiwan National Chen Kong University Hospital Taian Eastern District

Sponsors (2)

Lead Sponsor Collaborator
National Cheng-Kung University Hospital Ministry of Science and Technology, Taiwan

Country where clinical trial is conducted

Taiwan, 

Outcome

Type Measure Description Time frame Safety issue
Primary EEG graph analysis Graph theory will characterize EEG functional connectivity and brain network efficiency regarding to brain mechanisms for practice-related leaning transfer. through study completion, an average of 1 year
Secondary stabilogram diffusion analysis of central of pressure 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. through study completion, an average of 1 year
Secondary root mean sqaure error of stabilometer The root-mean-square value of the tracking trajectory of stabilometer and the target signal. through study completion, an average of 1 year
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