Leveraging multi-shell diffusion for studies of brain development in youth and young adulthood
Author(s) -
Adam Pines,
Matthew Cieslak,
Bart Larsen,
Graham L. Baum,
Philip A. Cook,
Azeez Adebimpe,
Diego Davila,
Mark A. Elliott,
Robert J. Jirsaraie,
Kristin Murtha,
Desmond J. Oathes,
Kayla Piiwaa,
Adon F.G. Rosen,
Sage Rush,
Russell T. Shinohara,
Danielle S. Bassett,
David R. Roalf,
Theodore D. Satterthwaite
Publication year - 2020
Publication title -
developmental cognitive neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.662
H-Index - 64
eISSN - 1878-9307
pISSN - 1878-9293
DOI - 10.1016/j.dcn.2020.100788
Subject(s) - diffusion mri , white matter , psychology , artifact (error) , voxel , neuroimaging , neuroscience , fractional anisotropy , brain mapping , connectome , artificial intelligence , magnetic resonance imaging , computer science , functional connectivity , medicine , radiology
Highlights • Multi-shell imaging sequences may improve sensitivity to developmental effects.• Models that leverage multi-shell information are often less sensitive to the confounding effects of motion.• Multi-shell sequences and models that leverage this data may be of particular utility for studying the developing brain.
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