Grant: CIHR Fellowship
Centre for Addiction and Mental Health (Toronto)
$135,000.00
Identifying the neural correlates of social cognitive performance in schizophrenia spectrum disorders: A dimensional, data-driven approach
FY 2017-18
Summary
Impaired social functioning is often a defining feature of individuals with schizophrenia spectrum disorders (SSDs). These patients exhibit deficits in social processes such as identifying emotions and understanding things from the perspectives of others. Such impairments are profoundly debilitating and have been linked to the ability to function in daily life. To date, investigations in SSDs tend to compare patients versus healthy individuals, and often include small sample sizes and patients with different levels of impairment, impeding the identification of consistent treatment targets. Indeed, there are currently no approved treatment options for these symptoms. Two circuits in the brain have been implicated in key social abilities affected in SSDs. However, early data from our lab suggests that subgroups of individuals may activate these brain circuits differently, which may result in different profiles of social behaviour and function among these groups. Thus, brain circuit abnormalities may differ in subgroups of people showing different levels of social impairment. In the present study, patients with SSDs and healthy individuals complete social tasks during brain imaging, as well as social and cognitive measures outside the scanner. We will take advantage of the range of social impairment seen in patients with SSDs, determining for the first time whether activation in these social brain networks predicts social performance across a very large sample of patients and healthy individuals. Novel methods will also be used to identify uniquely informative subgroups of participants generated based on these brain-behaviour associations. Critically, these findings should accelerate the identification of treatment targets and inform development of biologically based treatments for social deficits in individuals with SSDs.
Department
Program
CIHR Fellowship
Location
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
375981
Name
Oliver Lindsay
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Clinical
Prcname2
Fellowships - Post-PhD
Projecttitle
Identifying the neural correlates of social cognitive performance in schizophrenia spectrum disorders: A dimensional, data-driven approach
Programtype2
Fellowship Programs
Orgnameinp2
Centre for Addiction and Mental Health (Toronto)
Cihramount2
$135,000
Cihrequipment2
$0
Programname2
CIHR Fellowship
Keyworddelim
Functional Magnetic Resonance Imaging; Functional Outcomes; Mental Health; Schizophrenia; Social Cognition
Abstract
Impaired social functioning is often a defining feature of individuals with schizophrenia spectrum disorders (SSDs). These patients exhibit deficits in social processes such as identifying emotions and understanding things from the perspectives of others. Such impairments are profoundly debilitating and have been linked to the ability to function in daily life. To date, investigations in SSDs tend to compare patients versus healthy individuals, and often include small sample sizes and patients with different levels of impairment, impeding the identification of consistent treatment targets. Indeed, there are currently no approved treatment options for these symptoms. Two circuits in the brain have been implicated in key social abilities affected in SSDs. However, early data from our lab suggests that subgroups of individuals may activate these brain circuits differently, which may result in different profiles of social behaviour and function among these groups. Thus, brain circuit abnormalities may differ in subgroups of people showing different levels of social impairment. In the present study, patients with SSDs and healthy individuals complete social tasks during brain imaging, as well as social and cognitive measures outside the scanner. We will take advantage of the range of social impairment seen in patients with SSDs, determining for the first time whether activation in these social brain networks predicts social performance across a very large sample of patients and healthy individuals. Novel methods will also be used to identify uniquely informative subgroups of participants generated based on these brain-behaviour associations. Critically, these findings should accelerate the identification of treatment targets and inform development of biologically based treatments for social deficits in individuals with SSDs.
Competitiondate
201711
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Oliver, Lindsay
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $135,000~ $0~