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MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke

Several biomarkers have been identified which enable a considerable prediction of hand-motor outcome after cerebral damage already in the subacute stage after stroke. We here review the value of MRI biomarkers in the evaluation of corticospinal integrity and functional recruitment of motor resources...

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Detalles Bibliográficos
Autores principales: Horn, U., Grothe, M., Lotze, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056270/
https://www.ncbi.nlm.nih.gov/pubmed/27747108
http://dx.doi.org/10.1155/2016/9265621
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author Horn, U.
Grothe, M.
Lotze, M.
author_facet Horn, U.
Grothe, M.
Lotze, M.
author_sort Horn, U.
collection PubMed
description Several biomarkers have been identified which enable a considerable prediction of hand-motor outcome after cerebral damage already in the subacute stage after stroke. We here review the value of MRI biomarkers in the evaluation of corticospinal integrity and functional recruitment of motor resources. Many of the functional imaging parameters are not feasible early after stroke or for patients with high impairment and low compliance. Whereas functional connectivity parameters have demonstrated varying results on their predictive value for hand-motor outcome, corticospinal integrity evaluation using structural imaging showed robust and high predictive power for patients with different levels of impairment. Although this is indicative of an overall higher value of structural imaging for prediction, we suggest that this variation be explained by structure and function relationships. To gain more insight into the recovering brain, not only one biomarker is needed. We rather argue for a combination of different measures in an algorithm to classify fine-graded subgroups of patients. Approaches to determining biomarkers have to take into account the established markers to provide further information on certain subgroups. Assessing the best therapy approaches for individual patients will become more feasible as these subgroups become specified in more detail. This procedure will help to considerably save resources and optimize neurorehabilitative therapy.
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spelling pubmed-50562702016-10-16 MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke Horn, U. Grothe, M. Lotze, M. Neural Plast Review Article Several biomarkers have been identified which enable a considerable prediction of hand-motor outcome after cerebral damage already in the subacute stage after stroke. We here review the value of MRI biomarkers in the evaluation of corticospinal integrity and functional recruitment of motor resources. Many of the functional imaging parameters are not feasible early after stroke or for patients with high impairment and low compliance. Whereas functional connectivity parameters have demonstrated varying results on their predictive value for hand-motor outcome, corticospinal integrity evaluation using structural imaging showed robust and high predictive power for patients with different levels of impairment. Although this is indicative of an overall higher value of structural imaging for prediction, we suggest that this variation be explained by structure and function relationships. To gain more insight into the recovering brain, not only one biomarker is needed. We rather argue for a combination of different measures in an algorithm to classify fine-graded subgroups of patients. Approaches to determining biomarkers have to take into account the established markers to provide further information on certain subgroups. Assessing the best therapy approaches for individual patients will become more feasible as these subgroups become specified in more detail. This procedure will help to considerably save resources and optimize neurorehabilitative therapy. Hindawi Publishing Corporation 2016 2016-09-26 /pmc/articles/PMC5056270/ /pubmed/27747108 http://dx.doi.org/10.1155/2016/9265621 Text en Copyright © 2016 U. Horn et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Horn, U.
Grothe, M.
Lotze, M.
MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke
title MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke
title_full MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke
title_fullStr MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke
title_full_unstemmed MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke
title_short MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke
title_sort mri biomarkers for hand-motor outcome prediction and therapy monitoring following stroke
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056270/
https://www.ncbi.nlm.nih.gov/pubmed/27747108
http://dx.doi.org/10.1155/2016/9265621
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