- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05341232
A Lego Robot Programming Intervention for Enhancing Older Adult Cognitive Health
October 15, 2023 updated by: National Taiwan University Hospital
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.
Study Overview
Status
Recruiting
Conditions
Detailed Description
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.
Study Type
Interventional
Enrollment (Estimated)
120
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Joshua OS Goh, Ph. D.
- Phone Number: 88022 (+886)2-2312-3456
- Email: joshuagoh@ntu.edu.tw
Study Locations
-
-
-
Taipei, Taiwan, 10051
- Recruiting
- college of Medicine, National Taiwan University
-
Contact:
- Ya-Ting Chang, M. Sc.
- Phone Number: +886-2-2321-9581
- Email: ntubmlab@gmail.com
-
Taipei, Taiwan, 11165
- Recruiting
- National Taiwan Science Education Center
-
Contact:
- Yi-Hsuan Lin
- Phone Number: 5670 +886-2-6610-1234
- Email: sha79417.ntsec@gmail.com
-
Sub-Investigator:
- Joshua OS Goh, Ph. D.
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
48 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- Literate in Mandarin and Taiwanese
- Willing and able to participate in this research protocol in its entirety.
- Age >50
Exclusion Criteria:
- 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.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Problem-Solving Training
Participants will learn to program LEGO robots and will be encouraged to actively solve problems.
|
Participants will adapt their own Lego robot programs to achieve specific task goals.
Participating will undergo Lego robot programming training that engages them to follow fixed programming coding steps.
|
Active Comparator: Step-By-Step Training
Participants will learn to program LEGO robots and will be instructed step by step.
|
Participating will undergo Lego robot programming training that engages them to follow fixed programming coding steps.
|
Placebo Comparator: Board Games
Participants will play boards games under a schedule matching the Experimental and Active Comparator arms.
|
Participants will play board games with each other.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Changes of neural functional activity during inferential processing
Time Frame: 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.
|
Week 0, Week 12
|
Changes of overall accuracy during inferential processing
Time Frame: Week 0, Week 12
|
Changes from pre- to post-intervention in participant overall accuracy in identifying latent rules in the Rule Inference fMRI task.
|
Week 0, Week 12
|
Changes of learning rate during inferential processing
Time Frame: Week 0, Week 12
|
Changes from pre- to post-intervention in participant number of trials to criterion in the Rule Inference fMRI task.
|
Week 0, Week 12
|
Changes of strategic performance during inferential processing
Time Frame: 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.
|
Week 0, Week 12
|
Changes in the Montreal Cognitive Assessment (MoCA) score
Time Frame: 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.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Logical Memory I & II
Time Frame: Week 0, Week 12
|
Score range 0 - 75.
Higher score indicates better verbal episodic memory.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Face Memory
Time Frame: Week 0, Week 12
|
Score range 0 - 48.
Higher score indicates better visual face memory.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Verbal Paired Memory
Time Frame: Week 0, Week 12
|
Score range 0 - 32.
Higher score indicates better verbal memory and learning.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Family Pictures I & II
Time Frame: Week 0, Week 12
|
Score range 0 - 64.
Higher score indicates better visual memory and learning.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Word Lists I & II
Time Frame: 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.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Visual Reproduction I & II
Time Frame: 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.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Spatial Span
Time Frame: Week 0, Week 12
|
Score range 0 - 32.
Higher score indicates better spatial memory.
|
Week 0, Week 12
|
Change in Wechsler Memory Scale III Digit Span
Time Frame: Week 0, Week 12
|
Score range 0 - 32.
Higher score indicates better auditory memory.
|
Week 0, Week 12
|
Change in Wechsler Adult Intelligence Scale III Vocabulary
Time Frame: Week 0, Week 12
|
Score range 0 - 66. Higher score indicates better vocabulary.
|
Week 0, Week 12
|
Change in Wechsler Adult Intelligence Scale III Digit Symbol
Time Frame: Week 0, Week 12
|
Score range 0 - 133.
Higher score indicates better processing speed.
|
Week 0, Week 12
|
Change in Wechsler Adult Intelligence Scale III Block Design
Time Frame: Week 0, Week 12
|
Score range 0 - 68.
Higher score indicates better visual processing.
|
Week 0, Week 12
|
Change in Wechsler Adult Intelligence Scale III Arithmetic
Time Frame: Week 0, Week 12
|
Score range 0 - 22. Higher score indicates better mathematical computation ability.
|
Week 0, Week 12
|
Change in Wechsler Adult Intelligence Scale III Matrix Reasoning
Time Frame: Week 0, Week 12
|
Score range 0 - 26.
Higher score indicates better reasoning.
|
Week 0, Week 12
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Changes of neural functional activity during resting-state
Time Frame: Week 0, Week 12
|
Brain functional activity measured using fMRI during rest with eyes-open.
|
Week 0, Week 12
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Joshua OS Goh, Ph. D., National Taiwan University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
September 1, 2021
Primary Completion (Estimated)
July 1, 2024
Study Completion (Estimated)
July 1, 2024
Study Registration Dates
First Submitted
April 6, 2022
First Submitted That Met QC Criteria
April 17, 2022
First Posted (Actual)
April 22, 2022
Study Record Updates
Last Update Posted (Actual)
October 17, 2023
Last Update Submitted That Met QC Criteria
October 15, 2023
Last Verified
October 1, 2023
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 202103148RINC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
Data that can be shared include anonymized neuropsychological assessment scores, cognitive behavioral performance scores, brain imaging data that have been published.
IPD Sharing Time Frame
Data will become available 1 year after primary results are published by the central research team.
Data are anticipated to be available for sharing for an indefinite period after the above criteria is met.
IPD Sharing Access Criteria
Data sharing will be done based direct requests and on case-by-case evaluation for appropriateness.
Use of shared data will require agreement on appropriate citation of data sources at least or authorship inclusion or acknowledgement.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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