Large-Scale Online Studies of Early Motor Skill Learning

NCT03733080 | Completed

• 2 other identifiers: 99991901219-N-N012
• Study Type: observational
• Target: 2,529
• Locations: 1 country
• Sites: 1

Brief Summary

Background: Our goal is to gain insight into early human motor skill learning by carrying out online substudies using online crowd-sourcing tools. Objective: To learn more about motor behavior in a large group of people using motor tasks, and questions. Eligibility: Adults ages 18 and older based in the U.S. who speak English Design: Participants will be recruited from a crowd-sourcing website like Amazon Mechanical Turk. Participants will do online tasks. They can use their own computers anywhere with Internet access. They will not need to directly interact with researchers. Participants will be asked for general data, like their age and gender. No personally identifiable data will be collected. Participants will see a list of tasks on their computer screen. They will be able to choose tasks they wish to do. They will get a description of the experiment, how long it takes, and how much compensation they will get. Participants will complete on their screen a motor behavioral task, a cognitive task, and/or a questionnaire. For example, they may be asked to press sequences of numbers on the keyboard or move the mouse when a stimulus appears on the screen. Experiments may last up to 1 hour. Participants can complete as many experiments as they wish. They can quit at any point.

Conditions

Healthy

Keywords

AMT; Natural History

Outcome Measures

Primary Outcomes (1)

• data analysis

  Aim 1. To validate a motor skill learning task previously used by our group in lab-based studies {Bonstrup, 2019 #36} within an online, crowd-sourcing platform. Aim 2. To compare the influence of an interfering task applied during early ( early interference group) vs late ( late interference ) rest periods on stabilization of motor learning. Aim 3. To evaluate the effects of shorter practice period durations (i.e. - 5s vs. previously studied 10s duration) on micro-offline motor learning to gain insight into the impact of fatigue-relatedfactors on learning. Aim 4. To evaluate the effects of randomly variable practice period durations between 5-10s in length on micro-offline gains

  in data analysis

Study Arms (1)

1

ages 18 and older

Eligibility Criteria

• Age: 18 Years - 120 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

A total of 2,529 volunteers have participated in this protocol. It is possible that some of these participants may have been NIH or NINDS employees, since participant identities were anonymous to the experimenters. Data aquired from 97 participants was used for testing and debugging the typing task application during initial technical development. These data are not useable for research purposes.

You may qualify if:

• U.S.-based English speakers greater than 18 years of age are eligible to participate in the study.

You may not qualify if:

• Subjects are excluded if they are less than 18 years of age. NIH and NINDS employees are not excluded from the study, since participation is anonymous and personal identifiers unknown to the experimenters.

Sponsors & Collaborators

• National Institute of Neurological Disorders and Stroke (NINDS): lead

Study Sites (1)

National Institute of Neurological Disorders and Stroke (NINDS)

Bethesda, Maryland, 20892, United States

Location

Study Officials

• Leonardo G Cohen, M.D.

  National Institute of Neurological Disorders and Stroke (NINDS)

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: NIH
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 6, 2018
• First Posted: November 7, 2018
• Study Start: January 9, 2019
• Primary Completion: October 17, 2019
• Study Completion: October 17, 2019
• Last Updated: April 15, 2025

Record last verified: 2025-04

Locations

US (1)