Longitudinal Disconnection Tractograms to Investigate the Functional Consequences of White Matter Damage: An Automated Pipeline.

Kesshi M Jordan Anisha Keshavan Eduardo Caverzasi Joseph Osorio Nico PapinuttoBagrat AmirbekianMitchel S BergerRoland G Henry

Published in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2020)

Mapping a system as variable and complex as the human brain requires sample sizes much larger than the current technology can support. This pipeline can be used to execute large-scale, sufficiently powered analyses by meeting the need for an automatic approach to objectively quantify white matter disconnection.

Keyphrases

white matter
multiple sclerosis
physical activity
high resolution
deep learning
oxidative stress
machine learning
cross sectional
high density