Functional classification of grasp strategies used by hemiplegic patients
This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each grasp. Thirty-eight patients with chronic stroke-related hemiparesis and a range of motor and functional capacities (17 females and 21 males, age...
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Published in | PloS one Vol. 12; no. 11; p. e0187608 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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10.11.2017
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ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0187608 |
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Abstract | This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each grasp. Thirty-eight patients with chronic stroke-related hemiparesis and a range of motor and functional capacities (17 females and 21 males, aged 25-78), and 10 healthy subjects were included. Four objects were used (tissue packet, teaspoon, bottle and tennis ball). Participants were instructed to "grasp the object as if you are going to use it". Three trials were video-recorded for each object. A total of 456 grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps). Only patients with a moderate or relatively good functional ability used Standard grasps. The correlation and regression analyses showed this was conditioned by sufficient finger and elbow extensor strength (Pluri-digital grasp); thumb extensor and wrist flexor strength (Lateral pinch) or in forearm supinator strength (Palmar grasp). By contrast, the patients who had severe impairment used Alternative grasps that did not involve the thumb. These strategies likely compensate specific impairments. Regression and correlation analyses suggested that weakness had a greater influence over grasp strategy than spasticity. This would imply that treatment should focus on improving hand strength and control although reducing spasticity may be useful in some cases. |
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AbstractList | This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each grasp. Thirty-eight patients with chronic stroke-related hemiparesis and a range of motor and functional capacities (17 females and 21 males, aged 25-78), and 10 healthy subjects were included. Four objects were used (tissue packet, teaspoon, bottle and tennis ball). Participants were instructed to "grasp the object as if you are going to use it". Three trials were video-recorded for each object. A total of 456 grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps). Only patients with a moderate or relatively good functional ability used Standard grasps. The correlation and regression analyses showed this was conditioned by sufficient finger and elbow extensor strength (Pluri-digital grasp); thumb extensor and wrist flexor strength (Lateral pinch) or in forearm supinator strength (Palmar grasp). By contrast, the patients who had severe impairment used Alternative grasps that did not involve the thumb. These strategies likely compensate specific impairments. Regression and correlation analyses suggested that weakness had a greater influence over grasp strategy than spasticity. This would imply that treatment should focus on improving hand strength and control although reducing spasticity may be useful in some cases.This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each grasp. Thirty-eight patients with chronic stroke-related hemiparesis and a range of motor and functional capacities (17 females and 21 males, aged 25-78), and 10 healthy subjects were included. Four objects were used (tissue packet, teaspoon, bottle and tennis ball). Participants were instructed to "grasp the object as if you are going to use it". Three trials were video-recorded for each object. A total of 456 grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps). Only patients with a moderate or relatively good functional ability used Standard grasps. The correlation and regression analyses showed this was conditioned by sufficient finger and elbow extensor strength (Pluri-digital grasp); thumb extensor and wrist flexor strength (Lateral pinch) or in forearm supinator strength (Palmar grasp). By contrast, the patients who had severe impairment used Alternative grasps that did not involve the thumb. These strategies likely compensate specific impairments. Regression and correlation analyses suggested that weakness had a greater influence over grasp strategy than spasticity. This would imply that treatment should focus on improving hand strength and control although reducing spasticity may be useful in some cases. This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each grasp. Thirty-eight patients with chronic stroke-related hemiparesis and a range of motor and functional capacities (17 females and 21 males, aged 25–78), and 10 healthy subjects were included. Four objects were used (tissue packet, teaspoon, bottle and tennis ball). Participants were instructed to “grasp the object as if you are going to use it”. Three trials were video-recorded for each object. A total of 456 grasps were analysed and rated using a custom-designed Functional Grasp Scale. Eight grasp-types were identified from the analysis: healthy subjects used Multi-pulpar, Pluri-digital, Lateral-pinch and Palmar grasps (Standard Grasps). Patients used the same grasps with in addition Digito-palmar, Raking, Ulnar and Interdigital grasps (Alternative Grasps). Only patients with a moderate or relatively good functional ability used Standard grasps. The correlation and regression analyses showed this was conditioned by sufficient finger and elbow extensor strength (Pluri-digital grasp); thumb extensor and wrist flexor strength (Lateral pinch) or in forearm supinator strength (Palmar grasp). By contrast, the patients who had severe impairment used Alternative grasps that did not involve the thumb. These strategies likely compensate specific impairments. Regression and correlation analyses suggested that weakness had a greater influence over grasp strategy than spasticity. This would imply that treatment should focus on improving hand strength and control although reducing spasticity may be useful in some cases. |
Audience | Academic |
Author | Roby-Brami, Agnès García Álvarez, Alicia Roche, Nicolas Robertson, Johanna |
AuthorAffiliation | 1 Department of Physical Medicine and Rehabilitation, CHU Raymond Poincare - APHP, Garches, France 2 Institut des Systèmes Intelligents et de Robotique, CNRS, University Pierre et Marie Curie - Sorbonne Universities, Paris, France 4 Department of Physiology, University of Versailles Saint-Quentin-en-Yvelines U1179, Garches, France 3 Department of Physical Medicine and Rehabilitation, CHU Nantes, Nantes, France University of Ottawa, CANADA |
AuthorAffiliation_xml | – name: University of Ottawa, CANADA – name: 2 Institut des Systèmes Intelligents et de Robotique, CNRS, University Pierre et Marie Curie - Sorbonne Universities, Paris, France – name: 3 Department of Physical Medicine and Rehabilitation, CHU Nantes, Nantes, France – name: 4 Department of Physiology, University of Versailles Saint-Quentin-en-Yvelines U1179, Garches, France – name: 1 Department of Physical Medicine and Rehabilitation, CHU Raymond Poincare - APHP, Garches, France |
Author_xml | – sequence: 1 givenname: Alicia orcidid: 0000-0003-2602-3801 surname: García Álvarez fullname: García Álvarez, Alicia – sequence: 2 givenname: Agnès surname: Roby-Brami fullname: Roby-Brami, Agnès – sequence: 3 givenname: Johanna surname: Robertson fullname: Robertson, Johanna – sequence: 4 givenname: Nicolas surname: Roche fullname: Roche, Nicolas |
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CitedBy_id | crossref_primary_10_1161_STROKEAHA_121_035170 crossref_primary_10_1109_LRA_2022_3185365 crossref_primary_10_3389_fneur_2020_00835 crossref_primary_10_3389_fneur_2023_1176071 crossref_primary_10_1097_MD_0000000000036479 crossref_primary_10_3390_s23063291 crossref_primary_10_1016_j_jstrokecerebrovasdis_2024_108164 crossref_primary_10_1097_PHM_0000000000001834 crossref_primary_10_1109_TMRB_2024_3421513 crossref_primary_10_1177_15459683231177601 crossref_primary_10_3389_fnhum_2021_662006 crossref_primary_10_1109_JBHI_2023_3269692 crossref_primary_10_1186_s12938_020_0758_7 crossref_primary_10_1017_wtc_2021_3 crossref_primary_10_1089_g4h_2021_0197 crossref_primary_10_1093_braincomms_fcac241 crossref_primary_10_1186_s12984_021_00865_9 crossref_primary_10_3390_sym10060198 crossref_primary_10_1080_08990220_2019_1673721 crossref_primary_10_1186_s12984_022_01011_9 crossref_primary_10_3389_fneur_2019_00240 |
Cites_doi | 10.1109/ICORR.2011.5975421 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2017 Public Library of Science 2017 García Álvarez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Distributed under a Creative Commons Attribution 4.0 International License 2017 García Álvarez et al 2017 García Álvarez et al |
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Snippet | This study aimed to identify and qualify grasp-types used by patients with stroke and determine the clinical parameters that could explain the use of each... |
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SubjectTerms | Activities of daily living Analysis Biology and Life Sciences Biomechanics Brain research Clinical trials Cognitive science Conditioning Correlation Correlation analysis Elbow Elbow (anatomy) Engineering Sciences Females Fingers & toes Forearm Health aspects Human health and pathology Joint surgery Kinematics Life Sciences Males Mechanics Medicine and Health Sciences Movement therapy Neural networks Neuroscience Paralysis Paresis Patient outcomes Patients Physiological aspects Regression analysis Rehabilitation Social Sciences Spasticity Strength Stroke Stroke patients Tennis Tissues and Organs Wrist |
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Title | Functional classification of grasp strategies used by hemiplegic patients |
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