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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.

Research
RecentPubs

RECENT PUBLICATIONS

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Steven L. Meisler and Taylor Salo

bioRxiv

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MIRROR Dataset Data Descriptor

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Golia Shafiei

PLOS Biology

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Developmental patterns of intrinsic timescale

Intrinsic timescale is a commonly used measure of spontaneous neural dynamics that quantifies the temporal window of processing in neuronal populations. It displays a hierarchical cortical organization across species and imaging modalities, with shorter timescales in sensorimotor cortex and longer timescales in association cortex. However, less is known about how intrinsic timescale evolves during human brain development. Here, we estimate intrinsic timescale in two independent youth datasets and examine its developmental patterns. We find that changes in intrinsic timescale follow a hierarchical gradient along the sensorimotor-to-association (S–A) axis. Analysis of an independent adult dataset suggests this pattern stabilizes in adulthood. Together, these findings highlight intrinsic timescale as a marker of hierarchical brain maturation during development.

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Joëlle Bagautdinova

Nature Human Behavior

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Tracts Spanning the Hierarchy Support Cognitive Diversity

We show that white matter tracts are differentially positioned in the cortical hierarchy to support specific cognitive functions, and that tracts spanning the hierarchy connect regions with greater cognitive diversity. Moreover, tracts situated within the same hierarchical level connect biologically similar regions, while those crossing the hierarchy bridge distinct biological milieux to support diverse cognitive functions. The placement of tracts in the cortical hierarchy also reflects developmental variation in tract microstructure and individual differences in cognition.

Ted
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ted satterthwaite

Ted is the McLure II Professor of Psychiatry & Behavioral Research 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.

Lifespan Informatics and Neuroimaging Center

Richards Research Labs, 5th Floor

3700 Hamilton Walk

Philadelphia, PA 19104

Email: sattertt@pennmedicine.upenn.edu

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