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Lifespan Informatics & Neuroimaging Center

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


  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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Sophia Linguiti & Jake Vogel

Neuroscience & Biobehavioral Reviews


fMRI Studies of psychedelics, ketamine, and MDMA

In this systematic review of fMRI studies examining acute responses to experimentally administered psychedelics, we found both substantial evidence of methodological heterogeneity and convergent results.

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Bart Larsen

Trends in Neurosciences


A critical period model for sensorimotor-association development

We propose that hierarchical development along the S–A axis in humans is driven by a cascade of critical periods that culminate in association cortices during adolescence.
We also highlight advances in in vivo neuroimaging and computational approaches that can provide insights into the development of critical period mechanisms along the S–A axis in humans.

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Arielle S. Keller



Linking the "exposome" with functional topography and cognition

Despite the importance of the environment in shaping individual differences in cognitive neurodevelopment, it has been challenging to quantify the many interconnected features of a child's environment ('exposome'). Here, we leverage a large-scale dataset to investigate to demonstrate that the exposome is associated with individual differences in functional brain network organization and cognition. We find that models trained on a single variable capturing a child′s exposome can more accurately and parsimoniously predict future cognitive performance than models trained on a wealth of personalized neuroimaging data. This highlights the importance of childhood environments in shaping neurocognitive development.


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ted satterthwaite

Ted is the McLure Associate Professor of Psychiatry & Behavioral Sciences 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.

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