Aging, Balance
Conditions
Keywords
Posture training, Motor generalization, Aging, Cognition, High-density electroencephalography
Brief 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.
Interventions
BEHAVIORALsize 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.
Sponsors
Ministry of Science and Technology, Taiwan
National Cheng-Kung University Hospital
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| EEG graph analysis | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| stabilogram diffusion analysis of central of pressure | through study completion, an average of 1 year | 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. |
| root mean sqaure error of stabilometer | through study completion, an average of 1 year | The root-mean-square value of the tracking trajectory of stabilometer and the target signal. |
Countries
Taiwan
Outcome results
None listed