Lifespan Informatics & Neuroimaging Center
Innovation in data science and translational neuroscience to understand brain development and mental illness
RESEARCH
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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Bart Larsen
bioRxiv
Reduction of the E:I Ratio during Adolescence
Using a combination of pharmacological fMRI data developmental fMRI data, we provide evidence for a developmental reduction of the excitation:inhibition ratio during adolescence that is specific to association cortex.
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Kristin Murtha
bioRxiv
Neighborhood SES and Executive System Function
In this study we found that lower neighborhood-level SES is associated with reduced activation of the executive system, even when controlling for other measures of developmental adversity.
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Zaixu Cui
bioRxiv
Personalized functional network topography and psychopathology in youth
Leveraging a large sample and advances in machine learning, we demonstrate that functional topography significantly predicts individual differences in diverse dimensions of psychopathology.
ted satterthwaite
Ted is an Associate 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.