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Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke
Corticospinal tract integrity after stroke has been widely investigated through the evaluation of fibres descending from the primary motor cortex. However, about half of the corticospinal tract is composed by sub-pathways descending from premotor and parietal areas, to which damage may play a more s...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928144/ https://www.ncbi.nlm.nih.gov/pubmed/31873186 http://dx.doi.org/10.1038/s41598-019-56334-w |
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author | Boccuni, Leonardo Meyer, Sarah D’cruz, Nicholas Kessner, Simon S. Marinelli, Lucio Trompetto, Carlo Peeters, André Van Pesch, Vincent Duprez, Thierry Sunaert, Stefan Feys, Hilde Thijs, Vincent Nieuwboer, Alice Verheyden, Geert |
author_facet | Boccuni, Leonardo Meyer, Sarah D’cruz, Nicholas Kessner, Simon S. Marinelli, Lucio Trompetto, Carlo Peeters, André Van Pesch, Vincent Duprez, Thierry Sunaert, Stefan Feys, Hilde Thijs, Vincent Nieuwboer, Alice Verheyden, Geert |
author_sort | Boccuni, Leonardo |
collection | PubMed |
description | Corticospinal tract integrity after stroke has been widely investigated through the evaluation of fibres descending from the primary motor cortex. However, about half of the corticospinal tract is composed by sub-pathways descending from premotor and parietal areas, to which damage may play a more specific role in motor impairment and recovery, particularly post-stroke. Therefore, the main aim of this study was to investigate lesion load within corticospinal tract sub-pathways as predictors of upper limb motor impairment after stroke. Motor impairment (Fugl-Meyer Upper Extremity score) was evaluated in 27 participants at one week and six months after stroke, together with other clinical and demographic data. Neuroimaging data were obtained within the first week after stroke. Univariate regression analysis indicated that among all neural correlates, lesion load within premotor fibres explained the most variance in motor impairment at six months (R(2) = 0.44, p < 0.001). Multivariable regression analysis resulted in three independent, significant variables explaining motor impairment at six months; Fugl-Meyer Upper Extremity score at one week, premotor dorsal fibre lesion load at one week, and age below or above 70 years (total R(2) = 0.81; p < 0.001). Early examination of premotor dorsal fibre integrity may be a promising biomarker of upper limb motor impairment after stroke. |
format | Online Article Text |
id | pubmed-6928144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69281442019-12-27 Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke Boccuni, Leonardo Meyer, Sarah D’cruz, Nicholas Kessner, Simon S. Marinelli, Lucio Trompetto, Carlo Peeters, André Van Pesch, Vincent Duprez, Thierry Sunaert, Stefan Feys, Hilde Thijs, Vincent Nieuwboer, Alice Verheyden, Geert Sci Rep Article Corticospinal tract integrity after stroke has been widely investigated through the evaluation of fibres descending from the primary motor cortex. However, about half of the corticospinal tract is composed by sub-pathways descending from premotor and parietal areas, to which damage may play a more specific role in motor impairment and recovery, particularly post-stroke. Therefore, the main aim of this study was to investigate lesion load within corticospinal tract sub-pathways as predictors of upper limb motor impairment after stroke. Motor impairment (Fugl-Meyer Upper Extremity score) was evaluated in 27 participants at one week and six months after stroke, together with other clinical and demographic data. Neuroimaging data were obtained within the first week after stroke. Univariate regression analysis indicated that among all neural correlates, lesion load within premotor fibres explained the most variance in motor impairment at six months (R(2) = 0.44, p < 0.001). Multivariable regression analysis resulted in three independent, significant variables explaining motor impairment at six months; Fugl-Meyer Upper Extremity score at one week, premotor dorsal fibre lesion load at one week, and age below or above 70 years (total R(2) = 0.81; p < 0.001). Early examination of premotor dorsal fibre integrity may be a promising biomarker of upper limb motor impairment after stroke. Nature Publishing Group UK 2019-12-23 /pmc/articles/PMC6928144/ /pubmed/31873186 http://dx.doi.org/10.1038/s41598-019-56334-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Boccuni, Leonardo Meyer, Sarah D’cruz, Nicholas Kessner, Simon S. Marinelli, Lucio Trompetto, Carlo Peeters, André Van Pesch, Vincent Duprez, Thierry Sunaert, Stefan Feys, Hilde Thijs, Vincent Nieuwboer, Alice Verheyden, Geert Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
title | Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
title_full | Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
title_fullStr | Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
title_full_unstemmed | Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
title_short | Premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
title_sort | premotor dorsal white matter integrity for the prediction of upper limb motor impairment after stroke |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928144/ https://www.ncbi.nlm.nih.gov/pubmed/31873186 http://dx.doi.org/10.1038/s41598-019-56334-w |
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