Grant: Discovery Grants Program - Individual
Université du Québec à Trois-Rivières
$33,000.00
In situ in vivo and ex vivo study of the aging human brain: towards creating an MRI and histology brain template averaging 100 cases
EF 2023-24
Résumé
The study of the normal aging brain is accomplished using brains that people donate to science after they die, which is called ex vivo study of the brain. The microscopic study of ex vivo brains allows to understand the structure of any given region, which is the basis of several neuroscientific research studies. However, we cannot study the brain of healthy living people (in vivo) using microscopy. One method to study the brain in vivo is magnetic resonance imaging (MRI) using powerful machines that provide very high image resolution (7 Tesla MRI scanners). The downside of using MRI alone is the lack of certainty of which cells are responsible for a given contrast (color) on the MRI. To solve this, we study first the brain ex vivo using MRI (in our proposed program we will use the brain of donors of the Anatomy Department of our university), and then microscopy. Finally, we can use previous (in vivo) MRI scans of donors, available through their medical files, to translate our ex vivo MRI findings, to in vivo MRI findings. Our research program will assess four different ways to conserve the brain inside the head for better MRI results and will compare those results against the most utilized way of conservation employed by brain banks, which remove the brains and force the MRI scanning of the brains outside the head (ex situ) inside plastic containers filled with fluid (special fluid that does not produce a color on the MRI scan). Scanning brains ex situ introduces deformations of the tissue that complicate its comparison with the corresponding histology slices and with in vivo scans. Our program proposes the deployment of standard procedures to conserve and scan brains ex vivo and in situ, improving the comparative study with histology of the specimens, and with scans of living participants. Our scans will be then used to create an average MRI ex vivo-in situ template with histological correlates, which will be open-source and available to the neuroscientific community.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2021-03886
Name nom
Maranzano, Josefina
Department département
Anatomy
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2021
Award amount
33000
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
1101
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
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
6400
Research subject group en
Life sciences research related to human health and disease
Research subject group fr
Life sciences research related to human health and disease
Research subject en
Sciences de la vie liées à la santé publique et aux maladies humaines
Research subject fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Application title
In situ in vivo and ex vivo study of the aging human brain: towards creating an MRI and histology brain template averaging 100 cases
Keyword
Brain histology; Ex situ ex vivo brain MRI; Ex vivo brain MRI; Fixation by immersion; Fixation by perfusion; In situ ex vivo brain MRI; In vivo brain MRI; Magnetic Resonance Imaging (MRI); MRI brain average; MRI template
Application summary
The study of the normal aging brain is accomplished using brains that people donate to science after they die, which is called ex vivo study of the brain. The microscopic study of ex vivo brains allows to understand the structure of any given region, which is the basis of several neuroscientific research studies. However, we cannot study the brain of healthy living people (in vivo) using microscopy. One method to study the brain in vivo is magnetic resonance imaging (MRI) using powerful machines that provide very high image resolution (7 Tesla MRI scanners). The downside of using MRI alone is the lack of certainty of which cells are responsible for a given contrast (color) on the MRI. To solve this, we study first the brain ex vivo using MRI (in our proposed program we will use the brain of donors of the Anatomy Department of our university), and then microscopy. Finally, we can use previous (in vivo) MRI scans of donors, available through their medical files, to translate our ex vivo MRI findings, to in vivo MRI findings. Our research program will assess four different ways to conserve the brain inside the head for better MRI results and will compare those results against the most utilized way of conservation employed by brain banks, which remove the brains and force the MRI scanning of the brains outside the head (ex situ) inside plastic containers filled with fluid (special fluid that does not produce a color on the MRI scan). Scanning brains ex situ introduces deformations of the tissue that complicate its comparison with the corresponding histology slices and with in vivo scans. Our program proposes the deployment of standard procedures to conserve and scan brains ex vivo and in situ, improving the comparative study with histology of the specimens, and with scans of living participants. Our scans will be then used to create an average MRI ex vivo-in situ template with histological correlates, which will be open-source and available to the neuroscientific community.