Literature DB >> 19690845

Palmar arch modulation in patients with hemiparesis after a stroke.

Archana P Sangole1, Mindy F Levin.   

Abstract

Hand shape modulation has traditionally been studied within the framework of reach-to-grasp tasks by examining the control of arm transport, grip aperture scaling, and finger joint excursions. However, global parameters characterizing arm and hand movement can be enhanced by additional knowledge of biomechanical changes in the hand. We previously examined palmar arch modulation during grasping in healthy subjects by identifying thenar and hypothenar displacement. This method was used to characterize hand shape modulation in 10 stroke survivors with mild hand paresis, as assessed by the Chedoke-McMaster clinical scale, during two types of grasps (spherical, cylindrical). Palmar arch modulation was examined during the three phases of prehensile movement: transport shaping (P1), preshaping (P2), and contact shaping (P3). Compared to the control group, the stroke survivors showed significant differences (spherical: F (2,18) = 12.025, P < 0.001; cylindrical: F (2,18) = 9.054, P < 0.001) in palmar arch modulation particularly during P3 wherein fine adjustments are made to the grip in preparation for object manipulation. While control subjects completed most of hand shape modulation early in the task, stroke survivors took longer to complete each phase. Furthermore, stroke survivors started with a flatter hand which required relatively more arch modulation during the latter part of the task, thereby reflecting a temporal and spatial concurrency between the phases. Stroke survivors with well-recovered hand grasping ability tended to incorporate compensations/adaptations in hand posture during specific grasping phases. Palmar arch analysis provides us with a more complete understanding about how hand biomechanics, specifically palmar concavity articulation, is changed post-stroke. This will allow us to better identify the motor compensations used for grasping and to re-focus rehabilitation interventions to reduce compensations and improve functional motor recovery.

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Year:  2009        PMID: 19690845     DOI: 10.1007/s00221-009-1972-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  48 in total

1.  Postural control of three-dimensional prehension movements.

Authors:  M Desmurget; C Prablanc
Journal:  J Neurophysiol       Date:  1997-01       Impact factor: 2.714

2.  The coupling of arm and finger movements during prehension.

Authors:  Y Paulignan; C MacKenzie; R Marteniuk; M Jeannerod
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

3.  Postural and synergic control for three-dimensional movements of reaching and grasping.

Authors:  M Desmurget; C Prablanc; Y Rossetti; M Arzi; Y Paulignan; C Urquizar; J C Mignot
Journal:  J Neurophysiol       Date:  1995-08       Impact factor: 2.714

4.  Motor recovery following capsular stroke. Role of descending pathways from multiple motor areas.

Authors:  W Fries; A Danek; K Scheidtmann; C Hamburger
Journal:  Brain       Date:  1993-04       Impact factor: 13.501

5.  Motor compensation and recovery for reaching in stroke patients.

Authors:  A Roby-Brami; A Feydy; M Combeaud; E V Biryukova; B Bussel; M F Levin
Journal:  Acta Neurol Scand       Date:  2003-05       Impact factor: 3.209

Review 6.  The impact of stroke on the performance of grasping: usefulness of kinetic and kinematic motion analysis.

Authors:  Dennis A Nowak
Journal:  Neurosci Biobehav Rev       Date:  2008-05-23       Impact factor: 8.989

7.  Grip aperture scaling to object size in chronic stroke.

Authors:  Stella Maris Michaelsen; Eliane C Magdalon; Mindy F Levin
Journal:  Motor Control       Date:  2009-04       Impact factor: 1.422

8.  The beneficial effects of a functional task target on reaching and postural balance in patients with right cerebral vascular accidents.

Authors:  Hsieh-ching Chen; Keh-chung Lin; Chia-ling Chen; Ching-yi Wu
Journal:  Motor Control       Date:  2008-04       Impact factor: 1.422

9.  Measuring physical impairment and disability with the Chedoke-McMaster Stroke Assessment.

Authors:  C Gowland; P Stratford; M Ward; J Moreland; W Torresin; S Van Hullenaar; J Sanford; S Barreca; B Vanspall; N Plews
Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

10.  Finger control in the tripod grasp.

Authors:  Maurizio Gentilucci; Luana Caselli; Claudio Secchi
Journal:  Exp Brain Res       Date:  2003-02-04       Impact factor: 1.972

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4.  Arm-Hand Boost Therapy During Inpatient Stroke Rehabilitation: A Pilot Randomized Controlled Trial.

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