A Lego Robot Programming Intervention for Enhancing Older Adult Cognitive Health
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 48
- 试验地点
- 2
- 主要终点
- Changes of strategic performance during inferential processing
研究概览
简要总结
The population in Taiwan is rapidly aging with an increasing proportion of older persons who experience cognitive difficulties but are otherwise physically healthy. As such there is a critical and urgent need for effective interventions to enhance older adult cognitive health. This present sub-project is part of the larger integrated project that will address this need by conducting cognitive training interventions on community older adults using the National Taiwan Science Education Center (NTSEC) as the public engagement window and collecting research behavioral and neurophysiological data to empirically and objectively examine intervention efficacies. In this sub-project, the investigators implement a clinical trial to evaluate an open-ended, flexible cognitive training intervention in middle to older adults aged 50 yrs or above using a 12-week Lego Robot Programming (Lego RP) protocol developed in the investigators' lab at the Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University. The Lego RP training requires participants to generate and update abstract mental hypotheses of the effect of program codes on the physical actions of a robot based on how the robot behaves. Such mental processing is thought to drive flexible coordination between neural processes in the brain and benefit a broad range of cognitive abilities in older adults. The investigators target to obtain pre- and post-intervention behavioral and neurophysiological data (including brain imaging indicators) in 40 experimental participants, 40 active control participants, and 40 passive control participants over a period of 3 years.
详细描述
The population in Taiwan is rapidly aging with an increasing proportion of older persons who experience cognitive difficulties but are otherwise physically healthy. As such there is a critical and urgent need for effective interventions to enhance older adult cognitive health. This present sub-project is part of the larger integrated project that will address this need by conducting cognitive training interventions on community older adults using the National Taiwan Science Education Center (NTSEC) as the public engagement window and collecting research behavioral and neurophysiological data to empirically and objectively examine intervention efficacies. In this sub-project, the investigators implement a clinical trial to evaluate an open-ended, flexible cognitive training intervention in middle to older adults aged 50 yrs or above using a 12-week Lego Robot Programming (Lego RP) protocol developed in the investigators' lab at the Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University. The Lego RP training requires participants to generate and update abstract mental hypotheses of the effect of program codes on the physical actions of a robot based on how the robot behaves. Such mental processing is thought to drive flexible coordination between neural processes in the brain and benefit a broad range of cognitive abilities in older adults. The investigators target to obtain pre- and post-intervention behavioral and neurophysiological data (including brain imaging indicators) in 40 experimental participants, 40 active control participants, and 40 passive control participants over a period of 3 years. The investigators will also coordinate with the other sub-projects to assign participants to the different interventions involved as well as research data collection, which is shared. In contrast to previous studies of older adult cognitive training, the investigators expect this present approach, which leverages neurocognitive principles, to result in notable transfer between different cognitive abilities, and meaningful impact on daily functioning. The NTSEC recently seeks to engage the public, particularly children and older adults in STEAM education (Science, Technology, Engineering, Arts, Mathematics) to inspire and equip the population with the spirit of learning, discovery, and challenge-seeking, which is thought to raise mental resilience. Thus, the investigators' public outreach and research goals are highly complementary and the work is expected to yield more ecologically valid research data on a novel class of cognitive interventions for cognitive aging using psychological and brain imaging techniques to bridge critical neural mechanistic knowledge gaps. In addition, the research study will apply real public education benefits in society for those approximately 300 older participants who will participate in this study.
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
- Triple (Participant, Investigator, Outcomes Assessor)
入排标准
- 年龄范围
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Literate in Mandarin and Taiwanese
- •Willing and able to participate in this research protocol in its entirety.
排除标准
- •Participated in cognitive-related training in the past two months.
- •Diagnosed with mild cognitive impairment (MCI)
- •Severe psychological or behavioral disorder that would seriously interfere with the progress of activity
- •History of degenerative cognitive disorder.
- •Counter-indications for MRI scanning.
研究组 & 干预措施
Problem-Solving Training
Participants will learn to program LEGO robots and will be encouraged to actively solve problems.
干预措施: Lego Robot Programming Active Challenges (Behavioral)
Problem-Solving Training
Participants will learn to program LEGO robots and will be encouraged to actively solve problems.
干预措施: Lego Robot Programming Procedural Methods (Behavioral)
Step-By-Step Training
Participants will learn to program LEGO robots and will be instructed step by step.
干预措施: Lego Robot Programming Procedural Methods (Behavioral)
Board Games
Participants will play boards games under a schedule matching the Experimental and Active Comparator arms.
干预措施: Board Games (Behavioral)
结局指标
主要结局
Changes of strategic performance during inferential processing
时间窗: Week 0, Week 12
Changes from pre- to post-intervention in participant coefficients of expression of modeled response strategies in the Rule Inference fMRI task will be assessed.
Changes in the Montreal Cognitive Assessment (MoCA) score
时间窗: Week 0, Week 12
Pre- to post-intervention changes in participant MoCA score. Score range from 0 to 30 with higher scores indicating better cognitive ability.
Change in Wechsler Memory Scale III Face Memory
时间窗: Week 0, Week 12
Score range 0 - 48. Higher score indicates better visual face memory.
Change in Wechsler Memory Scale III Verbal Paired Memory
时间窗: Week 0, Week 12
Score range 0 - 32. Higher score indicates better verbal memory and learning.
Change in Wechsler Memory Scale III Family Pictures I & II
时间窗: Week 0, Week 12
Score range 0 - 64. Higher score indicates better visual memory and learning.
Changes of learning rate during inferential processing
时间窗: Week 0, Week 12
Changes from pre- to post-intervention in participant number of trials to criterion in the Rule Inference fMRI task.
Change in Wechsler Memory Scale III Visual Reproduction I & II
时间窗: Week 0, Week 12
Score range 0 - 104. Higher score indicates better visual memory. For II, recall score range is 0-104; recognition score range is 0-48.
Change in Wechsler Memory Scale III Spatial Span
时间窗: Week 0, Week 12
Score range 0 - 32. Higher score indicates better spatial memory.
Change in Wechsler Adult Intelligence Scale III Block Design
时间窗: Week 0, Week 12
Score range 0 - 68. Higher score indicates better visual processing.
Change in Wechsler Adult Intelligence Scale III Matrix Reasoning
时间窗: Week 0, Week 12
Score range 0 - 26. Higher score indicates better reasoning.
Change in Wechsler Memory Scale III Word Lists I & II
时间窗: Week 0, Week 12
Score range 0 - 36. Higher score indicates better verbal memory and learning. For II, recall score range is 0 to 8; recognition score range is 0 to 24.
Change in Wechsler Adult Intelligence Scale III Vocabulary
时间窗: Week 0, Week 12
Score range 0 - 66. Higher score indicates better vocabulary.
Changes of neural functional activity during inferential processing
时间窗: Week 0, Week 12
Participants will undergo a Rule Inference fMRI task to infer underlying rules that map color configurations of circles in a triangular arrangement to a target color category within as few tries as possible under active or passive conditions. The goal for participants will be to infer the cue-category association rules using as few cues as possible. The primary outcome measure here is the degree of neural response estimate change in blood oxygen level dependent (BOLD) signal pre- and post-intervention.
Changes of overall accuracy during inferential processing
时间窗: Week 0, Week 12
Changes from pre- to post-intervention in participant overall accuracy in identifying latent rules in the Rule Inference fMRI task.
Change in Wechsler Memory Scale III Logical Memory I & II
时间窗: Week 0, Week 12
Score range 0 - 75. Higher score indicates better verbal episodic memory.
Change in Wechsler Memory Scale III Digit Span
时间窗: Week 0, Week 12
Score range 0 - 32. Higher score indicates better auditory memory.
Change in Wechsler Adult Intelligence Scale III Digit Symbol
时间窗: Week 0, Week 12
Score range 0 - 133. Higher score indicates better processing speed.
Change in Wechsler Adult Intelligence Scale III Arithmetic
时间窗: Week 0, Week 12
Score range 0 - 22. Higher score indicates better mathematical computation ability.
次要结局
- Changes of neural functional activity during resting-state(Week 0, Week 12)