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McKelvey School of Engineering

Brown School

Seminar: Imaging Science and Engineering: Prof. Muriah D. Wheelock

Friday, October 27, 2023 | 8:30 AM - 9:30 AM

Preston M. Green Hall, Rodin Auditorium, L0120
135 N Skinker Blvd, St. Louis, MO 63112, USA

Network level analysis for connectome-wide association studies: applications in the developing brain

Abstract: Cutting-edge brain connectivity mapping techniques, including diffusion and functional MRI, in combination with NIH-funded initiatives such as the Human Connectome Project and NIH Toolbox, have accelerated production of large, highly valuable datasets that combine rich neuroimaging and behavioral assessments. As these datasets are established, innovative analysis approaches are required to delineate reliable links between variability in brain connectivity (i.e., the connectome) and behavior (e.g., measures of cognition, developmental changes, and disease). Current analytic methods often employ highly stringent false positive rate (FPR) corrections that yield sparse, scattered brain-behavior associations, challenging biological interpretation and reproducibility. The Wheelock lab develops statistical software to analyze connectome-wide associations while controlling the FPR by leveraging the inherent systems level organization of brain networks. However, challenges remain for defining these systems in early childhood (i.e., less than 3 years of age). Ongoing research in the lab seeks to benchmark reproducibility and determine best approaches for determining connectome-wide associations with clinical outcomes in early development. 

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Electrical & Systems Engineering, Imaging Science
Hashtag

#Seminar

Event Contact

Aaron Beagle | abeagle@gmail.com

Speaker Information

Muriah D. Wheelock

Assistant Professor, Mallinckrodt Institute of Radiology, Washington University in St. Louis

Bio: Dr. Wheelock is an Assistant Professor in the Mallinckrodt Institute of Radiology at Washington University in St. Louis. She obtained her PhD in Behavioral Neuroscience from the University of Alabama at Birmingham where she studied the behavioral and neural response to psychosocial stress using functional and structural connectivity analysis. During her postdoctoral training in Developmental Neuroscience at Washington University in St. Louis, she utilized graph theory to determine brain networks underlying healthy and disordered cognitive and behavioral development. Her BRAIN Initiative K99/R00 project is focused on developing and disseminating network level analysis statistical methods for connectome-wide association studies across the lifespan for understanding healthy and disordered cognition and behavior.

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