Grant: Discovery Grants Program - Individual
University of Western Ontario
$50,000.00
Studying Dynamic Blood Flow/Metabolism Regulation in the Brain
FY 2020-21
Summary
The brain uses more energy than any other organ in the human body, accounting for a staggering 20% of the daily energy intake despite weighting less than 2% of the body's weight. In addition, the brain has no energy stores so it relies on fine-tuning of blood flow to deliver a continuous supply of fuel (i.e., oxygen and glucose). Adjustments to blood flow occur regionally throughout the brain as local energy consumption is constantly changing to match variations in brain activity. This tight coupling between blood flow, energy consumption and brain activity has lead to the recognition that proper control of blood flow is critical to brain health. Stroke caused by a blocked or rupture blood vessel in the brain is a dramatic demonstration of this dependency as damage can occur in a matter of minutes. However, there is a line of thought that more subtle changes to blood flow control may contribute to age-related diseases such as Alzheimer's by hindering adequate delivery of oxygen and glucose in response to local brain activity. As these changes are subtle, the consequences could take years or even decades to manifest.
To better how understand this dynamic process, this research program is focused on developing a light-based device to measure the coupling of blood flow to energy consumption during changes in brain activity. These methods use light outside of the visible range because this light is able to travel much farther through tissue, which allows brain activity to be measured by detectors based on the scalp. The technology is extremely safe, inexpensive, and versatile (i.e. brain activity can be monitored during any number of activities, such as exercise). Our goal is to combine two light-based methods that provide complementary information of brain function: one is sensitive to oxygen use, while the other measures blood flow. It is our vision that these methods working together will provide a rich data set to begin understanding how subtle changes in blood flow control can impact the brain's energy needs and if these changes can be linked to possible age-related issues such as cognitive decline. The goals of this program are centred on first showing that these light-based methods can provide accurate measurements and second using these methods to investigate the coupling of flow and energy consumption during brain challenges with different effects on flow and oxygen delivery.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-04492
Name nom
St. Lawrence, Keith
Department département
Department of Medical Biophysics
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2018
Award amount
50000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1505
Committee name en
Physics
Committee name fr
Physique
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Installment
inst:3-5
Partie
3
Nb partie
5
Application title
Studying Dynamic Blood Flow/Metabolism Regulation in the Brain
Keyword
NSERC
Application summary
The brain uses more energy than any other organ in the human body, accounting for a staggering 20% of the daily energy intake despite weighting less than 2% of the body's weight. In addition, the brain has no energy stores so it relies on fine-tuning of blood flow to deliver a continuous supply of fuel (i.e., oxygen and glucose). Adjustments to blood flow occur regionally throughout the brain as local energy consumption is constantly changing to match variations in brain activity. This tight coupling between blood flow, energy consumption and brain activity has lead to the recognition that proper control of blood flow is critical to brain health. Stroke caused by a blocked or rupture blood vessel in the brain is a dramatic demonstration of this dependency as damage can occur in a matter of minutes. However, there is a line of thought that more subtle changes to blood flow control may contribute to age-related diseases such as Alzheimer's by hindering adequate delivery of oxygen and glucose in response to local brain activity. As these changes are subtle, the consequences could take years or even decades to manifest.
To better how understand this dynamic process, this research program is focused on developing a light-based device to measure the coupling of blood flow to energy consumption during changes in brain activity. These methods use light outside of the visible range because this light is able to travel much farther through tissue, which allows brain activity to be measured by detectors based on the scalp. The technology is extremely safe, inexpensive, and versatile (i.e. brain activity can be monitored during any number of activities, such as exercise). Our goal is to combine two light-based methods that provide complementary information of brain function: one is sensitive to oxygen use, while the other measures blood flow. It is our vision that these methods working together will provide a rich data set to begin understanding how subtle changes in blood flow control can impact the brain's energy needs and if these changes can be linked to possible age-related issues such as cognitive decline. The goals of this program are centred on first showing that these light-based methods can provide accurate measurements and second using these methods to investigate the coupling of flow and energy consumption during brain challenges with different effects on flow and oxygen delivery.