Study Results
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Basic Information
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UNKNOWN
NA
45 participants
INTERVENTIONAL
2021-02-01
2021-06-01
Brief Summary
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Detailed Description
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A comparative study of motor imagery and actual performance showed the occurrence of similar neurophysiological processes in the motor cortex. All the mentioned studies were conducted on adults and the results were mainly from the analysis of upper limb movements. In the present study, the investigators will comprehensively evaluate the upper and lower limb movements of children: from the recognition of visual stimuli to the generation of the motor program and the execution itself (behavioral data).
Forty-five children (year 2009) will be recruited from local primary schools. In a single-blinded design, children will be randomized into three groups (1st - real execution, 2nd - motor imagery, 3rd - control) and compared at baseline, immediately post-intervention and at follow-up 24 hours post-intervention. At pre-, post-, and follow-up assessments, participants will perform two different patterns of the Fitts Law task with the predefined difficulty: lower limbs/whole body and upper limbs/hands on an interactive whiteboard. The intervention period lasts approximately 10 minutes, during which participants perform the Fitts law task with different difficulty according to the intervention group to which they belong.
During the upper limb/hand tasks, brain activity will be recorded with electroencephalography (EEG).
Conditions
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Study Design
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RANDOMIZED
PARALLEL
BASIC_SCIENCE
SINGLE
Study Groups
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Real execution group
The real execution group will perform the acute intervention by the actual performance of the Fitt's law task.
Real execution of Fitts's law tasks
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
Motor imagery group
The motor imagery group will perform the acute intervention by simulating (mental process) the Fitt's law task.
Motor imagery of Fitts's law tasks
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.
Control group
The control group will perform skip counting.
Skip counting
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.
Interventions
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Real execution of Fitts's law tasks
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
Motor imagery of Fitts's law tasks
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.
Skip counting
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.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* no significant muscular, skeleton or nervous system damage
* the earlier-signed agreement to take part in the protocol.
Exclusion Criteria
11 Years
12 Years
ALL
Yes
Sponsors
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University of Trieste
OTHER
University of Franche-Comté
OTHER
Science and Research Centre Koper
OTHER
Responsible Party
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Principal Investigators
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Uroš Marušič, PhD
Role: PRINCIPAL_INVESTIGATOR
Science and research center Koper
Central Contacts
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References
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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.
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.
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.
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.
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.
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.
Other Identifiers
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TwinBrainFittsLaw
Identifier Type: -
Identifier Source: org_study_id
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