Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Project Grant

Université Laval

$400,860.00

Computational modelling of behavior as a window in the mechanisms of chronic pain.

FY 2024-25

Summary
Chronic pain affects millions of people worldwide, causing significant social and economic impacts. Despite this, the causes of chronic pain remain unclear, and finding effective treatments continues to be a challenge for clinicians. Traditionally, researchers have tried to understand chronic pain by studying peripheral nerves due to their link with injury. However, recent research has shown that the nature or the amount of tissue damage is not a good predictor of ongoing pain. Sometimes, people experience chronic pain without any obvious injury or disease. This has led scientists to explore other factors, particularly those in the brain, that might explain why some people develop chronic pain. Our understanding of how pain works has evolved to include the idea that our brain's predictions, expectations, and learning play a large role in how we experience pain. This suggests that chronic pain might be caused by learning processes in the brain, leading to persistent pain expectations that do not go away. However, this theory has not been thoroughly tested. This project aims to examine chronic pain from a novel perspective by employing mathematical models to study differences in learning processes between individuals with and without chronic pain. We will conduct behavioural experiments and use mathematical modelling to analyze pain-related learning, perception, and decision-making disparities between these groups. Additionally, we will compare these findings to a group of individuals with depression to assess the specificity of these learning differences. By providing crucial data on the psychological processes associated with chronic pain, this research could lead to improved classifications, interventions, and early identification methods for at-risk individuals. Ultimately, this approach may contribute to a more comprehensive understanding of chronic pain and pave the way for innovative treatment strategies.
Program
Project Grant
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
509445
Name
Coll Michel-Pierre
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Behavioural Sciences - C: Behavioural Studies, Neuroscience and Cognition
Projecttitle
Computational modelling of behavior as a window in the mechanisms of chronic pain.
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$400,860
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Chronic Pain; Computational; Learning
Abstract
Chronic pain affects millions of people worldwide, causing significant social and economic impacts. Despite this, the causes of chronic pain remain unclear, and finding effective treatments continues to be a challenge for clinicians. Traditionally, researchers have tried to understand chronic pain by studying peripheral nerves due to their link with injury. However, recent research has shown that the nature or the amount of tissue damage is not a good predictor of ongoing pain. Sometimes, people experience chronic pain without any obvious injury or disease. This has led scientists to explore other factors, particularly those in the brain, that might explain why some people develop chronic pain. Our understanding of how pain works has evolved to include the idea that our brain's predictions, expectations, and learning play a large role in how we experience pain. This suggests that chronic pain might be caused by learning processes in the brain, leading to persistent pain expectations that do not go away. However, this theory has not been thoroughly tested. This project aims to examine chronic pain from a novel perspective by employing mathematical models to study differences in learning processes between individuals with and without chronic pain. We will conduct behavioural experiments and use mathematical modelling to analyze pain-related learning, perception, and decision-making disparities between these groups. Additionally, we will compare these findings to a group of individuals with depression to assess the specificity of these learning differences. By providing crucial data on the psychological processes associated with chronic pain, this research could lead to improved classifications, interventions, and early identification methods for at-risk individuals. Ultimately, this approach may contribute to a more comprehensive understanding of chronic pain and pave the way for innovative treatment strategies.
Competitiondate
202409
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Coll, Michel-Pierre
Approvedterm
4 ans 0 mois
Cihrcontribution2
~ $400,860~ $0~
Université Laval - $400,860 Grant (2024-25) | Canada Spends