Fitt's Law MI Experiment

NCT04744597 | Unknown

• 1 other identifier: TwinBrainFittsLaw
• Study Type: interventional
• Target: 45
• Locations: 0 countries
• Sites: N/A

Brief Summary

The aim of our study is to investigate the acute effects of real execution (RE) and motor imagery (MI) of Fitts law tasks on near and far transfer of learning.

Conditions

Healthy

Keywords

EEG; Motor learning; Fitt's law; Motor imagery

Outcome Measures

Primary Outcomes (1)

• Change from baseline Movement related cortical potential at 24-yhours follow-up post intervention

  Event related potential that are typically linked with updating of internal models, decision-making and motor preparation.

  Assessed at baseline, immediately post intervention and at 24-yhours follow-up post intervention

Secondary Outcomes (2)

• Change from baseline Fitts's law task performance at 24-yhours follow-up post intervention

  Assessed at baseline, immediately post intervention and at 24-yhours follow-up post intervention

• Change from baseline Fitts's law task performance at 24-yhours follow-up post intervention

  Assessed at baseline, immediately post intervention and at 24-yhours follow-up post intervention

Study Arms (3)

Real execution group

EXPERIMENTAL

The real execution group will perform the acute intervention by the actual performance of the Fitt's law task.

Behavioral: Real execution of Fitts's law tasks

Motor imagery group

EXPERIMENTAL

The motor imagery group will perform the acute intervention by simulating (mental process) the Fitt's law task.

Behavioral: Motor imagery of Fitts's law tasks

Control group

ACTIVE COMPARATOR

The control group will perform skip counting.

Behavioral: Skip counting

Interventions

Real execution of Fitts's law tasks BEHAVIORAL

Children will be training Fitts's law tasks of different difficulties. Once each task will be solved, they will receive a new, more demanding task

Also known as: REg

Real execution group

Motor imagery of Fitts's law tasks BEHAVIORAL

Children will be training Fitts's law tasks of different difficulties, same as RE group but the exception of doing it mentally - motor imagery of Fitts's law tasks with eyes open.

Also known as: MIg

Motor imagery group

Skip counting BEHAVIORAL

Children in SCg will silently count (one number per second) in the same working blocks as both experimental groups with a task of saying the number they reached during each block - control condition to keep them mentally active at very low mental engagement.

Also known as: SCg

Control group

Eligibility Criteria

• Age: 11 Years - 12 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17)

You may qualify if:

• born in 2009
• no significant muscular, skeleton or nervous system damage
• the earlier-signed agreement to take part in the protocol.

You may not qualify if:

• Nervous system disorders

Sponsors & Collaborators

• Science and Research Centre Koper: lead
• University of Trieste: collaborator
• University of Franche-Comté: collaborator

Related Publications (6)

• Kiefer AW, Gualberto Cremades J, Myer GD. Train the Brain: Novel Electroencephalography Data Indicate Links between Motor Learning and Brain Adaptations. J Nov Physiother. 2014 Apr;4(2):198. doi: 10.4172/2165-7025.1000198.

  PMID: 25309823 BACKGROUND

• Thurer B, Stockinger C, Putze F, Schultz T, Stein T. Mechanisms within the Parietal Cortex Correlate with the Benefits of Random Practice in Motor Adaptation. Front Hum Neurosci. 2017 Aug 2;11:403. doi: 10.3389/fnhum.2017.00403. eCollection 2017.

  PMID: 28824406 BACKGROUND

• Wu J, Knapp F, Cramer SC, Srinivasan R. Electroencephalographic connectivity measures predict learning of a motor sequencing task. J Neurophysiol. 2018 Feb 1;119(2):490-498. doi: 10.1152/jn.00580.2017. Epub 2017 Nov 1.

  PMID: 29093171 BACKGROUND

• Ghasemian M, Taheri H, Saberi Kakhki A, Ghoshuni M. Electroencephalography Pattern Variations During Motor Skill Acquisition. Percept Mot Skills. 2017 Dec;124(6):1069-1084. doi: 10.1177/0031512517727404. Epub 2017 Aug 25.

  PMID: 28840774 BACKGROUND

• Ozdenizci O, Yalcin M, Erdogan A, Patoglu V, Grosse-Wentrup M, Cetin M. Electroencephalographic identifiers of motor adaptation learning. J Neural Eng. 2017 Aug;14(4):046027. doi: 10.1088/1741-2552/aa6abd.

  PMID: 28367834 BACKGROUND

• Sobierajewicz J, Przekoracka-Krawczyk A, Jaskowski W, Verwey WB, van der Lubbe R. The influence of motor imagery on the learning of a fine hand motor skill. Exp Brain Res. 2017 Jan;235(1):305-320. doi: 10.1007/s00221-016-4794-2. Epub 2016 Oct 6.

  PMID: 27714404 BACKGROUND

Study Officials

• Uroš Marušič, PhD

  Science and research center Koper

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Luka Šlosar, PhD

CONTACT

0038640612132; luka.slosar@zrs-kp.si

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: BASIC SCIENCE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: In a single-blind design children will be randomized into three groups: 1st - real execution, 2nd - motor imagery, 3rd - control (skip counting)

Study Record Dates

• First Submitted: January 25, 2021
• First Posted: February 9, 2021
• Study Start: February 1, 2021
• Primary Completion: May 10, 2021
• Study Completion: June 1, 2021
• Last Updated: February 9, 2021

Record last verified: 2021-02