Grant: Discovery Grants Program - Individual
University of Lethbridge
$33,000.00
Mapping perception and emotion in the human brain with functional magnetic resonance imaging and diffusion tensor imaging using naturalistic stimuli
EF 2024-25
Résumé
Creating cognitive maps of how the brain processes the real-world around us is a central goal of neuroscience. This is no simple task, however, as human cognition is vastly complex, nuanced, and involves processing information in a multimodal and dynamic world. Because of its complexity, previous research has relied on proxies of stimuli in the real-world that may not adequately represent the stimulus (and thus the cognitive process) they are attempting to investigate. Increasingly, research in cognitive neuroscience is shifting away from strictly controlled experimental paradigms in favour of more naturalistic tasks to probe the multiscale dynamics of real-world processing. Naturalistic stimuli (such as audiovisual movies) may be better suited to help map complex human brain responses by providing a more valid proxy of natural viewing and listening.
With the shift from strict control to naturalistic cognition, however, comes the computational challenge of analyzing, interpreting, and disentangling complex brain responses in a meaningful way. To overcome these challenges, my research combines behavioural, neuroimaging, and computational techniques to study the brain under dynamic and naturalistic conditions. The long-term objective of this program of research is to map the structural and functional architecture of naturalistic cognition in the human brain. To achieve this, this program of research has three specific short-term objectives: 1) to build a database of emotional, perceptual, and physiological responses of individuals to a wide range of movie stimuli that will be an essential and valuable resource for expanding the field of naturalistic neuroscience; 2) to use advanced data-driven analysis approaches that identify events in movie stimuli using brain activity patterns and integrate brain response patterns with perceptual and emotional attributes of the stimulus; and 3) to use state-of-the-art computational modeling techniques to identify structure/function relationships between white matter connectivity and naturalistic brain responses.
This highly innovative program of research will take a systems approach to the study of naturalistic cognition by incorporating behavioural characteristics, functional neuroimaging, and structural connectivity to identify the underlying network architecture of naturalistic cognition. Thus, it will facilitate ground-breaking advancements in the field of naturalistic neuroscience in Canada and will provide the first step to mapping the structural and functional architecture of real-world cognition in the human brain. This research will be at the forefront of an exciting and timely data-driven approach to cognitive neuroscience aimed at bridging the gap between research and the real-world. Further, it will provide a critical benefit to society by elucidating the ways in which the brain is able to process the complex, multimodal world around us.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2021-03568
Name nom
Ekstrand, Chelsea
Department département
Neuroscience
Organization id
12
Institution établissement
University of Lethbridge
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
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
405
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Modelling and mathematical simulation of natural processes
Area of application fr
Modélisation et simulation mathématique des processus naturels
Research subject code
6301
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Sensory systems and perception
Research subject fr
Systèmes sensoriels et perception
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Mapping perception and emotion in the human brain with functional magnetic resonance imaging and diffusion tensor imaging using naturalistic stimuli
Keywords
functional magnetic resonance imaging; diffusion tensor imaging; computational neuroscience; neuroimaging analysis techniques; naturalistic cognition; sensorimotor; cognition; perception; cognitive neuroscience
Application summary
Creating cognitive maps of how the brain processes the real-world around us is a central goal of neuroscience. This is no simple task, however, as human cognition is vastly complex, nuanced, and involves processing information in a multimodal and dynamic world. Because of its complexity, previous research has relied on proxies of stimuli in the real-world that may not adequately represent the stimulus (and thus the cognitive process) they are attempting to investigate. Increasingly, research in cognitive neuroscience is shifting away from strictly controlled experimental paradigms in favour of more naturalistic tasks to probe the multiscale dynamics of real-world processing. Naturalistic stimuli (such as audiovisual movies) may be better suited to help map complex human brain responses by providing a more valid proxy of natural viewing and listening.
With the shift from strict control to naturalistic cognition, however, comes the computational challenge of analyzing, interpreting, and disentangling complex brain responses in a meaningful way. To overcome these challenges, my research combines behavioural, neuroimaging, and computational techniques to study the brain under dynamic and naturalistic conditions. The long-term objective of this program of research is to map the structural and functional architecture of naturalistic cognition in the human brain. To achieve this, this program of research has three specific short-term objectives: 1) to build a database of emotional, perceptual, and physiological responses of individuals to a wide range of movie stimuli that will be an essential and valuable resource for expanding the field of naturalistic neuroscience; 2) to use advanced data-driven analysis approaches that identify events in movie stimuli using brain activity patterns and integrate brain response patterns with perceptual and emotional attributes of the stimulus; and 3) to use state-of-the-art computational modeling techniques to identify structure/function relationships between white matter connectivity and naturalistic brain responses.
This highly innovative program of research will take a systems approach to the study of naturalistic cognition by incorporating behavioural characteristics, functional neuroimaging, and structural connectivity to identify the underlying network architecture of naturalistic cognition. Thus, it will facilitate ground-breaking advancements in the field of naturalistic neuroscience in Canada and will provide the first step to mapping the structural and functional architecture of real-world cognition in the human brain. This research will be at the forefront of an exciting and timely data-driven approach to cognitive neuroscience aimed at bridging the gap between research and the real-world. Further, it will provide a critical benefit to society by elucidating the ways in which the brain is able to process the complex, multimodal world around us.