An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model

An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model

Magnetic resonance imaging (MRI) is a clinically relevant, real-time imaging modality that is frequently utilized to assess stroke type and severity. However, specific MRI biomarkers that can be used to predict long-term functional recovery are still a critical need. Consequently, the present study...

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Bibliographic Details
Main Authors: Erin E Kaiser, J C Poythress, Kelly M Scheulin, Brian J Jurgielewicz, Nicole A Lazar, Cheolwoo Park, Steven L Stice, Jeongyoun Ahn, Franklin D West
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Neural Regeneration Research
Subjects:
behavior testing; canonical correlation analysis; gait analysis; gaussian graphical models; ischemic stroke; magnetic resonance imaging; pig model; principal component analysis
Online Access:http://www.nrronline.org/article.asp?issn=1673-5374;year=2021;volume=16;issue=5;spage=842;epage=850;aulast=Kaiser

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http://www.nrronline.org/article.asp?issn=1673-5374;year=2021;volume=16;issue=5;spage=842;epage=850;aulast=Kaiser

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