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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.

 
 

RECENT PUBLICATIONS

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Kristin Murtha

bioRxiv

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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

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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.

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Erica Baller

bioRxiv

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Developmental coupling of cerebral blood flow and fMRI fluctuations in youth

We demonstrate that non-invasive imaging proxies of neurovascular coupling in children undergo substantial maturation in youth, with evidence of both prominent sex differences and functional relevance to executive function.

News

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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.