Prediction of cognitive and motor development in preterm children using exhaustive feature selection and cross-validation of near-term white matter microstructure
Background: Advanced neuroimaging and computational methods offer opportunities for more accurate prognosis. We hypothesized that near-term regional white matter (WM) microstructure, assessed on diffusion tensor imaging (DTI), using exhaustive feature selection with cross-validation would predict ne...
Main Authors: | Kornél Schadl, Rachel Vassar, Katelyn Cahill-Rowley, Kristen W. Yeom, David K. Stevenson, Jessica Rose |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2018-01-01
|
Series: | NeuroImage: Clinical |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158217303030 |
Similar Items
-
Neonatal white matter tract microstructure and 2-year language outcomes after preterm birth
by: Sarah E. Dubner, et al.
Published: (2020-01-01) -
Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
by: Rachel L Vassar, et al.
Published: (2014-01-01) -
White matter microstructure of 6-year old children born preterm and full term
by: Cory K. Dodson, et al.
Published: (2017-01-01) -
Motor skill learning induces changes in white matter microstructure and myelination.
by: Sampaio-Baptista, S, et al.
Published: (2013) -
Motor Skill Learning Induces Changes in White Matter Microstructure and Myelination
by: Sampaio-Baptista, C, et al.
Published: (2013)