Towards an individualised, mechanistic understanding of resilience to mental illness during development: the role of affective processing in adolescence (360G-Wellcome-206459_Z_17_Z)

£250,000

This project examines how individual differences in affective processing contribute to the development of psychiatric traits in adolescence. My two-pronged approach tackles this question from complimentary angles: 1) applying sophisticated statistical methods to currently-available large-scale data to understand individual differences in affective processing and 2) developing more sensitive measures of these individual differences. I will build upon statistical techniques for large-scale data analysis utilising two existing cohorts of adolescents/young adults (Objective 1). Using Structural Equation Modelling, I will investigate how individual differences in multi-level longitudinal measures of affective processing map onto risk for the development of mental illness. Second, I will use computational and psychophysics approaches to build upon established computational models of face perception. I will develop a facial emotion-processing task to quantify individual differences in emotion perception and assess the degree of variability in an individuals’ emotion perception (Objective 2a). I will then relate this variability to individual differences in behavioural traits associated with common mental health difficulties including anxiety and conduct problems (Objective 2b). Together, these approaches link large-scale investigation of mechanisms (Objective 1) with a more refined way of measuring individual differences in these mechanisms (Objective 2) to understand vulnerability to mental illness in adolescence.

Where is this data from?

This data was originally published by The Wellcome Trust. If you see something about your organisation or the funding it has received on this page that doesn't look right you can submit a grantee amendment request. You can hover over codes from standard codelists to see the user-friendly name provided by 360Giving.

Grant Details

Amount Awarded 250000
Applicant Surname Carlisi
Approval Committee Basic Science Interview Committee
Award Date 2017-04-19T00:00:00+00:00
Financial Year 2016/17
Grant Programme: Title Sir Henry Wellcome Postdoctoral Fellowship
Internal ID 206459/Z/17/Z
Lead Applicant Dr Christina Carlisi
Partnership Value 250000
Planned Dates: End Date 2022-08-31T00:00:00+00:00
Planned Dates: Start Date 2017-09-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region Greater London
Sponsor(s) Prof Essi Viding