Healthy Clinical Trial
Official title:
Neural Aspects of Motor Learning Through Real Execution and Motor Imagery in Children
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.
Status | Not yet recruiting |
Enrollment | 45 |
Est. completion date | June 1, 2021 |
Est. primary completion date | May 10, 2021 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 11 Years to 12 Years |
Eligibility | Inclusion Criteria: - born in 2009 - no significant muscular, skeleton or nervous system damage - the earlier-signed agreement to take part in the protocol. Exclusion Criteria: - Nervous system disorders |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Science and Research Centre Koper | University of Franche-Comté, University of Trieste |
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. — View Citation
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). pii: 198. — View Citation
Özdenizci O, Yalçin M, Erdogan A, Patoglu V, Grosse-Wentrup M, Çetin M. Electroencephalographic identifiers of motor adaptation learning. J Neural Eng. 2017 Aug;14(4):046027. doi: 10.1088/1741-2552/aa6abd. — View Citation
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. — View Citation
Thürer 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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
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Primary | 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 | Change from baseline Fitts's law task performance at 24-yhours follow-up post intervention | Change in movement time (seconds) needed to solve Fitts's law tasks of different difficulites | Assessed at baseline, immediately post intervention and at 24-yhours follow-up post intervention | |
Secondary | Change from baseline Fitts's law task performance at 24-yhours follow-up post intervention | Accuracy, namely, a group of trials repeatedly hitting a narrow band (precise) but off the center of the target (inaccurate) | Assessed at baseline, immediately post intervention and at 24-yhours follow-up post intervention |
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