Grant: Discovery Grants Program - Individual
Dalhousie University
$46,503.00
Establishing the nature and processes of error-based learning via motor imagery
EF 2023-24
Résumé
Imagining performing a movement helps with learning how to physically do the movement. This process, called motor imagery (MI), is thought to help with learning because the same things happen in the brain when you imagine movement as when you physically perform it. Our research suggests that MI is different from physical performance. Knowing how it is different is important. If we know how MI is different, we can use MI more effectively to help people learn new movements. Also, the new knowledge we gain tells us a lot about the ways learning can occur in the brain. We think there are two main differences between MI and physical performance. When you physically practice a movement you get very good at the specific things you practice - if you practice with your right hand, your right hand is really good, but doing the same movement with your left hand results in bad performance. When you practice through MI, performance of the movement is not as good, but you can transfer what you learned - that is you could use your left hand as well as your right. This ability to transfer what you learned makes us think that what you learn through MI is different from physical practice. The other difference is about how you learn. When you physically do a movement, information about how you did the movement is compared to how it was supposed to be done, allowing for errors to be detected and fixed. Because you actually never move in MI, it is not clear if errors are made, detected, and fixed - leading to the question of how MI can help with learning. The proposed projects look to find out more about the kind of learning that results from MI, and what the mechanism is for detecting errors and fixing them. In the first set of projects people will learn a movement through MI or physical practice. Throughout the learning we will test their performance to see if what they are learning is different. We will also record people's brain activity to find out which areas of the brain were active, and how this differs between MI and physical practice. We will also test different combinations of MI and physical practice to see if the kind of learning that MI helps with improves what we learn from physical practice. In the second set of projects we will explore if people make errors when they learn through MI. We will also record people's brain activity to find out what areas are involved in error detection in MI. Finally, using special equipment, we will turn down activity in parts of the brain for a short period of time to find out more about the way that learning occurs in MI. This research will allow us to confirm our ideas about the kind of learning that MI helps with and how learning through MI actually occurs. We need this kind of basic knowledge so we can figure out the best way to use MI to help with learning movement. This will make learning better in a wide range of areas that will ultimately have a positive impact on the health and performance of Canadians.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2020-04840
Name nom
Boe, Shaun
Department département
Physiotherapy, School of - Physiotherapy, School of
Organization id
79
Institution établissement
Dalhousie University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
46503
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Establishing the nature and processes of error-based learning via motor imagery
Keyword
behaviour; brain; motor imagery; motor learning; neuroimaging; neurophysiology
Application summary
Imagining performing a movement helps with learning how to physically do the movement. This process, called motor imagery (MI), is thought to help with learning because the same things happen in the brain when you imagine movement as when you physically perform it. Our research suggests that MI is different from physical performance. Knowing how it is different is important. If we know how MI is different, we can use MI more effectively to help people learn new movements. Also, the new knowledge we gain tells us a lot about the ways learning can occur in the brain. We think there are two main differences between MI and physical performance. When you physically practice a movement you get very good at the specific things you practice - if you practice with your right hand, your right hand is really good, but doing the same movement with your left hand results in bad performance. When you practice through MI, performance of the movement is not as good, but you can transfer what you learned - that is you could use your left hand as well as your right. This ability to transfer what you learned makes us think that what you learn through MI is different from physical practice. The other difference is about how you learn. When you physically do a movement, information about how you did the movement is compared to how it was supposed to be done, allowing for errors to be detected and fixed. Because you actually never move in MI, it is not clear if errors are made, detected, and fixed - leading to the question of how MI can help with learning. The proposed projects look to find out more about the kind of learning that results from MI, and what the mechanism is for detecting errors and fixing them. In the first set of projects people will learn a movement through MI or physical practice. Throughout the learning we will test their performance to see if what they are learning is different. We will also record people's brain activity to find out which areas of the brain were active, and how this differs between MI and physical practice. We will also test different combinations of MI and physical practice to see if the kind of learning that MI helps with improves what we learn from physical practice. In the second set of projects we will explore if people make errors when they learn through MI. We will also record people's brain activity to find out what areas are involved in error detection in MI. Finally, using special equipment, we will turn down activity in parts of the brain for a short period of time to find out more about the way that learning occurs in MI. This research will allow us to confirm our ideas about the kind of learning that MI helps with and how learning through MI actually occurs. We need this kind of basic knowledge so we can figure out the best way to use MI to help with learning movement. This will make learning better in a wide range of areas that will ultimately have a positive impact on the health and performance of Canadians.