Short-term Postural Training for Older Adults (P)

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

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.

Study Overview

• Status: Completed
• Conditions: Aging; Balance
• Intervention / Treatment: Behavioral: size of error visual feedback

• Study Type: Interventional
• Enrollment (Actual): 150
• Phase: Not Applicable

Contacts and Locations

Study Locations

• Taiwan
  • Eastern District
    • Taian, Eastern District, Taiwan, 701
      • National Chen Kong University Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 60 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes

Description

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 Plan

How is the study designed?

Design Details

• Primary Purpose: Basic Science
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: None (Open Label)

Number of Arms

3

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: deterministic visual error gain; Day1(Pretest): stabilometer stance, 3 times/1 min; air pillow stance, 3 time/30 sec; poture-supraposture dual task, 3 times/1 min Day2 to Day5: Exp.group:27 times of posture tracking with high visual error gain.; Control group:27 times of posture training with normal visual error gain. Day6 (Posttest): stabilometer stance, 3 times/1 min; air pillow stance, 3 time/30 sec; poture-supraposture dual task, 3 times/1 min	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.; Other Names: virtual uncertainness of motor goals; stroboscopic vision
Experimental: stochastic visual noise; Day1(Pretest): stabilometer stance, 3 times/1 min; air pillow stance, 3 time/30 sec; poture-supraposture dual task, 3 times/1 min Day2 to Day5: Exp.group A:27 times of posture training with posture tracking signal-to-noise ratio=2:1.; Exp.group B:27 times of posture training with posture tracking signal-to-noise ratio=4:1.; Control group:27 times of posture training with normal visual error gain. Day6(Posttest): stabilometer stance, 3 times/1 min; air pillow stance, 3 time/30 sec; poture-supraposture dual task, 3 times/1 min	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.; Other Names: virtual uncertainness of motor goals; stroboscopic vision
Experimental: intermittent visual gain; Day1 (Pretest): stabilometer stance with wearing flash glasses (low frequency with opaque ratio 50%), 4 times/45 sec; stabilometer stance with wearing flash glasses (high frequency with opaque ratio 50%), 4 times/45 sec.; stabilometer stance with wearing flash glasses (clear), 4 times/45 sec; air pillow stance, 8 times/1 min Day2 (training section): Exp. group:Posture tracking with wearing flash glasses (low frequency with opaque ratio 50%), 12 times/45 sec.; Control group:Posture tracking with wearing flash glasses (clear), 12 times/45 sec. Day3 (Posttest): stabilometer stance with wearing flash glasses (low frequency with opaque ratio 50%), 4 times/45 sec; stabilometer stance with wearing flash glasses (high frequency with opaque ratio 50%), 4 times/45 sec; stabilometer stance with wearing flash glasses (clear), 4 times/45 sec; air pillow stance, 8 times/1 min	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.; Other Names: virtual uncertainness of motor goals; stroboscopic vision

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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 Outcome Measures

Outcome Measure	Measure Description	Time Frame
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
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

Collaborators and Investigators

• Sponsor: National Cheng-Kung University Hospital
• Collaborators: Ministry of Science and Technology, Taiwan
• Investigators: Study Chair: Hwang Ing-Shiou, Phd, NCKU, Institute of Allied Health Sciences

Study record dates

Study Major Dates

• Study Start (Actual): August 1, 2019
• Primary Completion (Actual): December 30, 2022
• Study Completion (Actual): December 30, 2022

Study Registration Dates

• First Submitted: October 20, 2019
• First Submitted That Met QC Criteria: October 22, 2019
• First Posted (Actual): October 24, 2019

Study Record Updates

• Last Update Posted (Estimated): November 13, 2023
• Last Update Submitted That Met QC Criteria: November 10, 2023
• Last Verified: June 1, 2021

More Information

Terms related to this study

• Keywords: Posture training, Motor generalization, Aging, Cognition, High-density electroencephalography
• Other Study ID Numbers: MOST 108-2314-B-006-071 -

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No