Development of White Matter Fiber Covariance Networks Supports Executive Function in Youth.

Autor:	Bagautdinova J; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Bourque J; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Sydnor VJ; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Cieslak M; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Alexander-Bloch AF; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Bertolero MA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Cook PA; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA., Gur RC; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA., Gur RE; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA., Larsen B; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Moore TM; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Radhakrishnan H; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Roalf DR; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Shinohara RT; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA., Tapera TM; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA., Zhao C; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA., Sotiras A; Department of Radiology and Institute for Informatics, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St.Louis, 63130 MO, USA., Davatzikos C; Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA., Satterthwaite TD; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.; Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA.; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jazyk:	angličtina
Zdroj:	BioRxiv : the preprint server for biology [bioRxiv] 2023 Feb 10. Date of Electronic Publication: 2023 Feb 10.
DOI:	10.1101/2023.02.09.527696
Abstrakt:	The white matter architecture of the human brain undergoes substantial development throughout childhood and adolescence, allowing for more efficient signaling between brain regions that support executive function. Increasingly, the field understands grey matter development as a spatially and temporally coordinated mechanism that follows hierarchically organized gradients of change. While white matter development also appears asynchronous, previous studies have largely relied on anatomical atlases to characterize white matter tracts, precluding a direct assessment of how white matter structure is spatially and temporally coordinated. Here, we leveraged advances in diffusion modeling and unsupervised machine learning to delineate white matter fiber covariance networks comprised of structurally similar areas of white matter in a cross-sectional sample of 939 youth aged 8-22 years. We then evaluated associations between fiber covariance network structural properties with both age and executive function using generalized additive models. The identified fiber covariance networks aligned with the known architecture of white matter while simultaneously capturing novel spatial patterns of coordinated maturation. Fiber covariance networks showed heterochronous increases in fiber density and cross section that generally followed hierarchically organized temporal patterns of cortical development, with the greatest increases in unimodal sensorimotor networks and the most prolonged increases in superior and anterior transmodal networks. Notably, we found that executive function was associated with structural features of limbic and association networks. Taken together, this study delineates data-driven patterns of white matter network development that support cognition and align with major axes of brain maturation.
Databáze:	MEDLINE
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