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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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Bart Larsen

bioRxiv

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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

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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.

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.