Grant: Research Tools and Instruments - Category 1 (<$150,000)
University of British Columbia
$150,000.00
End-point robot for the discovery of the neural correlates of memory consolidation in the human brain
EF 2013-14
Résumé
Basic research helps in the understanding of how learning changes brain function and structure. At present it is not clear which brain regions are key for learning movements or for storing these memories. In part this lack of knowledge stems from not fully understanding how the brain changes with time after a movement is practiced. Past work has provided snapshots of how brain function may change after a new movement is practiced using magnetic resonance imaging or MRI. But because of the time delays associated with MRI this information does not explain how the brain might change in real time. At present we are capable of both measuring and altering patterns of brain activity associated with motor learning using electroencephalography (EEG) and non-invasive brain stimulation (transcranial magnetic stimulation [TMS]) simultaneously. Critical for the success of this line of research is the ability to precisely control and index human movement in real time. Thus, the present proposal is for an End-Point robot, the KINARM, which enables the measurement of movement and force of both arms in 3-dimensional space as well as the manipulation of trajectories of movement via force motor resistance. This robot will allow precise measurement of arm movement during motor learning, and in combination with our existing brain measurement (e.g., EEG) and brain stimulation (e.g., TMS) systems, facilitate the comprehensive study of how brain function supports the formation of new motor memories.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
458632-2014
Name nom
Boyd, Lara
Department département
Medicine, Faculty of
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2014
Award amount
150000
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à 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
6400
Research subject group en
Life sciences research related to human health and disease
Research subject group fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Research subject en
Life sciences research related to human health and disease
Research subject fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Partie
1
Nb partie
1
Application title
End-point robot for the discovery of the neural correlates of memory consolidation in the human brain
Keyword
NSERC
Application summary
Basic research helps in the understanding of how learning changes brain function and structure. At present it is not clear which brain regions are key for learning movements or for storing these memories. In part this lack of knowledge stems from not fully understanding how the brain changes with time after a movement is practiced. Past work has provided snapshots of how brain function may change after a new movement is practiced using magnetic resonance imaging or MRI. But because of the time delays associated with MRI this information does not explain how the brain might change in real time. At present we are capable of both measuring and altering patterns of brain activity associated with motor learning using electroencephalography (EEG) and non-invasive brain stimulation (transcranial magnetic stimulation [TMS]) simultaneously. Critical for the success of this line of research is the ability to precisely control and index human movement in real time. Thus, the present proposal is for an End-Point robot, the KINARM, which enables the measurement of movement and force of both arms in 3-dimensional space as well as the manipulation of trajectories of movement via force motor resistance. This robot will allow precise measurement of arm movement during motor learning, and in combination with our existing brain measurement (e.g., EEG) and brain stimulation (e.g., TMS) systems, facilitate the comprehensive study of how brain function supports the formation of new motor memories.