Personality and functional connectivity: Modelling stability using spectral graph theory and latent variable models

Date

Apr 20, 2017

Time

4:00 PM - 5:00 PM

Speaker

Dr. Manousos Klados

Affiliation

TUD, Professur für Entwicklungspsychologie und Neurowissenschaft der Lebensspanne

Series

TUD NIC Kolloquium

Language

en

Main Topic

Psychologie

Other Topics

Informatik, Psychologie

Description

Personality neuroscience is a relatively new and emerging field of research, focusing on the neurobiological theories of personality. Based on psychology, personality neuroscience assumes that, since many traits vary together with biological phenomena (e.g., people who are open to new experiences tend to feel less anxiety than people who are not), then specific neurobiological factors should be able to explain much of the variation in personality traits. From a modelling perspective, Five-Factor Model, or Big Five is a generally accepted model that describes personality, by “separating” personality into five dimensions (Neuroticism, Extraversion, Openness, Agreeableness and Conscientiousness), which are further grouped into two higher order factors, namely stability and plasticity. A neurobiologically informed theory, for any level of the Big Five’s taxonomy, is essential to advance the existing knowledge on the field, giving personality a biological basis. In this presentation I will show you how the resting state fMRI connectivity is connected to the stability meta-trait, while towards this direction I will also present some concepts from the spectral graph theory, used in order to reduce the dimensionality of the connectivity data, as well as I will present the partial least square correlation method in order to model the common variance between personality and resting state brain activity.

Links

• Livestream

Last modified: Apr 28, 2017, 6:17:48 PM