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Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke?
BACKGROUND: We aimed to kinematically validate that the time to perform the Finger-to-Nose Test (FNT) assesses coordination by determining its construct, convergent and discriminant validity. METHODS: Experimental, criterion standard study. Both clinical and experimental evaluations were done at a r...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259887/ https://www.ncbi.nlm.nih.gov/pubmed/28114996 http://dx.doi.org/10.1186/s12984-016-0213-y |
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author | Rodrigues, Marcos R. M. Slimovitch, Matthew Chilingaryan, Gevorg Levin, Mindy F. |
author_facet | Rodrigues, Marcos R. M. Slimovitch, Matthew Chilingaryan, Gevorg Levin, Mindy F. |
author_sort | Rodrigues, Marcos R. M. |
collection | PubMed |
description | BACKGROUND: We aimed to kinematically validate that the time to perform the Finger-to-Nose Test (FNT) assesses coordination by determining its construct, convergent and discriminant validity. METHODS: Experimental, criterion standard study. Both clinical and experimental evaluations were done at a research facility in a rehabilitation hospital. Forty individuals (20 individuals with chronic stroke and 20 healthy, age- and gender-matched individuals) participated.. Both groups performed two blocks of 10 to-and-fro pointing movements (non-dominant/affected arm) between a sagittal target and the nose (ReachIn, ReachOut) at a self-paced speed. Time to perform the test was the main outcome. Kinematics (Optotrak, 100Hz) and clinical impairment/activity levels were evaluated. Spatiotemporal coordination was assessed with slope (IJC) and cross-correlation (LAG) between elbow and shoulder movements. RESULTS: Compared to controls, individuals with stroke (Fugl-Meyer Assessment, FMA-UE: 51.9 ± 13.2; Box & Blocks, BBT: 72.1 ± 26.9%) made more curved endpoint trajectories using less shoulder horizontal-abduction. For construct validity, shoulder range (β = 0.127), LAG (β = 0.855) and IJC (β = −0.191) explained 82% of FNT-time variance for ReachIn and LAG (β = 0.971) explained 94% for ReachOut in patients with stroke. In contrast, only LAG explained 62% (β = 0.790) and 79% (β = 0.889) of variance for ReachIn and ReachOut respectively in controls. For convergent validity, FNT-time correlated with FMA-UE (r = −0.67, p < 0.01), FMA-Arm (r = −0.60, p = 0.005), biceps spasticity (r = 0.39, p < 0.05) and BBT (r = −0.56, p < 0.01). A cut-off time of 10.6 s discriminated between mild and moderate-to-severe impairment (discriminant validity). Each additional second represented 42% odds increase of greater impairment. CONCLUSIONS: For this version of the FNT, the time to perform the test showed construct, convergent and discriminant validity to measure UL coordination in stroke. |
format | Online Article Text |
id | pubmed-5259887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52598872017-01-26 Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? Rodrigues, Marcos R. M. Slimovitch, Matthew Chilingaryan, Gevorg Levin, Mindy F. J Neuroeng Rehabil Research BACKGROUND: We aimed to kinematically validate that the time to perform the Finger-to-Nose Test (FNT) assesses coordination by determining its construct, convergent and discriminant validity. METHODS: Experimental, criterion standard study. Both clinical and experimental evaluations were done at a research facility in a rehabilitation hospital. Forty individuals (20 individuals with chronic stroke and 20 healthy, age- and gender-matched individuals) participated.. Both groups performed two blocks of 10 to-and-fro pointing movements (non-dominant/affected arm) between a sagittal target and the nose (ReachIn, ReachOut) at a self-paced speed. Time to perform the test was the main outcome. Kinematics (Optotrak, 100Hz) and clinical impairment/activity levels were evaluated. Spatiotemporal coordination was assessed with slope (IJC) and cross-correlation (LAG) between elbow and shoulder movements. RESULTS: Compared to controls, individuals with stroke (Fugl-Meyer Assessment, FMA-UE: 51.9 ± 13.2; Box & Blocks, BBT: 72.1 ± 26.9%) made more curved endpoint trajectories using less shoulder horizontal-abduction. For construct validity, shoulder range (β = 0.127), LAG (β = 0.855) and IJC (β = −0.191) explained 82% of FNT-time variance for ReachIn and LAG (β = 0.971) explained 94% for ReachOut in patients with stroke. In contrast, only LAG explained 62% (β = 0.790) and 79% (β = 0.889) of variance for ReachIn and ReachOut respectively in controls. For convergent validity, FNT-time correlated with FMA-UE (r = −0.67, p < 0.01), FMA-Arm (r = −0.60, p = 0.005), biceps spasticity (r = 0.39, p < 0.05) and BBT (r = −0.56, p < 0.01). A cut-off time of 10.6 s discriminated between mild and moderate-to-severe impairment (discriminant validity). Each additional second represented 42% odds increase of greater impairment. CONCLUSIONS: For this version of the FNT, the time to perform the test showed construct, convergent and discriminant validity to measure UL coordination in stroke. BioMed Central 2017-01-23 /pmc/articles/PMC5259887/ /pubmed/28114996 http://dx.doi.org/10.1186/s12984-016-0213-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Rodrigues, Marcos R. M. Slimovitch, Matthew Chilingaryan, Gevorg Levin, Mindy F. Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? |
title | Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? |
title_full | Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? |
title_fullStr | Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? |
title_full_unstemmed | Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? |
title_short | Does the Finger-to-Nose Test measure upper limb coordination in chronic stroke? |
title_sort | does the finger-to-nose test measure upper limb coordination in chronic stroke? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259887/ https://www.ncbi.nlm.nih.gov/pubmed/28114996 http://dx.doi.org/10.1186/s12984-016-0213-y |
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