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Innovation in data science and translational neuroscience to understand brain development and mental illness

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Our research uses advanced analytics to integrate complex brain images and rich behavioral data. Ultimately, we seek to map normal brain development and understand how alterations in brain maturation increase risk of psychiatric illness.

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Developmental Cognitive Neuroscience

Leveraging multi-shell diffusion for studies of brain development in youth and young adulthood

We find key advantages of multi-shell diffusion metrics, including increased neurodevelopmental coupling and decreased spurious relationships with imaging data quality.

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eLife

Control Energy of Executive Function in Youth

We leveraged advances in network control theory to describe how the structural connectome facilitates transitions to executive activation states

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Multi‐scale network regression for brain‐phenotype associations

We designed, implemented, and deployed a multi-variate statistical tool to extract novel brain‐behavior relationships that are present on multiple scales.

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Ted is an Assistant Professor in the Department of Psychiatry at the University of Pennsylvania Perelman School of Medicine. His research uses multi-modal neuroimaging to describe both normal and abnormal patterns of brain development, in order to better understand the origins of mental illnesses.

Meet The Team