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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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Audrey Luo

Nature Communicatoins

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Two Axes of White Matter Development

Despite decades of neuroimaging research, how white matter develops along the length of major tracts in humans remains unknown. Here, we identify fundamental patterns of white matter maturation by examining developmental variation along major, long-range cortico-cortical tracts in youth ages 5-23 years using diffusion MRI from three large-scale, cross-sectional datasets (total N = 2,710). Across datasets, we delineate two replicable axes of human white matter development. First, we find a deep-to-superficial axis, in which superficial tract regions near the cortical surface exhibit greater age-related change than deep tract regions. Second, we demonstrate that the development of superficial tract regions aligns with the cortical hierarchy defined by the sensorimotor-association axis, with tract ends adjacent to sensorimotor cortices maturing earlier than those adjacent to association cortices.

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Juliette Brook, Taylor Salo

Aperture Neuro

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Data resource for studying mood and sleep variability

Brain development during adolescence and early adulthood coincides with shifts in emotion regulation and sleep. Here, we describe the study protocol and initial release of an open data resource of advanced neuroimaging paired with densely sampled behavioral measures in adolescents and young adults. Raw and processed data are openly available without a data use agreement and will be regularly updated as accrual continues. Together, this resource will accelerate research on the links between mood, sleep, and brain development.

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Joëlle Bagautdinova

biorxiv

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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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