Robot-based Rehabilitation of Upper Limb Impairment in Multiple Sclerosis
NCT ID: NCT02711566
Last Updated: 2016-03-17
Study Results
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Basic Information
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COMPLETED
NA
41 participants
INTERVENTIONAL
2010-01-31
2011-12-31
Brief Summary
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A distinctive element of multiple sclerosis is the involvement of a variety of functional systems, in a way that is highly subject-specific. This requires a personalization of treatment, and continuous adaptation to changes in condition. This points to a need for integrating patient assessment, definition of rehabilitation protocols, their administration and the assessment of their outcome.
The goal of this study is to assess, in persons with MS, the efficacy of a type of robot-assisted training that was specifically designed to counteract incoordination and muscle weakness (typical of MS), tailored to individual type and degree of impairment, when compared to simple movement training.
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Detailed Description
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In this study, the proponents aim at extending the results of the above mentioned pilot study to MS subjects with a wider variety of impairments. Based on previous studies on robot therapy with MS subjects and stroke survivors, the proponents will develop and test a robot training exercise that is specifically designed to deal with incoordination and/or muscle weakness. In a randomised controlled trial, the proponents will then assess the possible contribution of this form of robot-therapy to the rehabilitation of MS subjects.
A population of clinically definite MS subjects with different degrees of upper limb impairment was randomised into 2 groups: (i) Haptic training and (ii) Sensorimotor training.
Haptic training was based on a robot-assisted exercise protocol specifically designed to treat cerebellar and motor symptoms in persons with MS by counteracting, respectively, incoordination and muscle weakness. The exercise is based on a motor task - interaction with a virtual mass-spring system under the effect of a resistive load - that requires sophisticated coordination skills. Task difficulty (the time constant of the mass-spring system) and the magnitude of the resistive load (stiffness magnitude of the resistive spring) were automatically adjusted to the individual subjects' upper limb impairment.
In Sensorimotor training, the task is exactly the same, but the robot generates no forces. Hand and target position are displayed on the computer screen. This group allowed quantifying the specific contribution of robot assistance to sensorimotor recovery (if any). Both groups performed 8-10 therapy sessions (1 hour/each, 2-3 times per week). Treatment outcome was assessed in terms of the Nine-Hole Peg Test (9HPT) and the ARAT scores.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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Sensorimotor training
Patients in this arm were assigned to the 'Physioassistant: Haptic training' intervention. The treatments were delivered through a planar robotic manipulandum, specifically designed for motor learning studies and robot-assisted rehabilitation.
All participating centers used the exact same apparatus and experimental set-up.
Physioassistant: Sensorimotor training
Subjects in the Sensorimotor training arm had to perform fast-and-accurate reaching movements in different directions. The manipulandum was only used to record hand movements, but throughout the movement it generated no forces.
Haptic training
Patients in this arm were assigned to the 'Physioassistant: Sensorimotor training' intervention. The treatments were delivered through a planar robotic manipulandum, specifically designed for motor learning studies and robot-assisted rehabilitation. All participating centers used the exact same apparatus and experimental set-up.
Physioassistant: Haptic training
Subjects in the Haptic training arm had to perform fast-and-accurate reaching movements in different directions. reaching was mediated by a virtual 'tool', consisting of a virtual point mass (m=5 kg) connected to the subjects' hand through a linear spring (stiffness range: Km=200-500 N/m). An additional spring (stiffness range: Kr = 20-70 N/m) was connected between hand a starting point to resist movements. Subjects were instructed to move the virtual point mass as fast as possible through suitable hand motions, so that the mass ends up and stops on the 'target' area.
Interventions
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Physioassistant: Haptic training
Subjects in the Haptic training arm had to perform fast-and-accurate reaching movements in different directions. reaching was mediated by a virtual 'tool', consisting of a virtual point mass (m=5 kg) connected to the subjects' hand through a linear spring (stiffness range: Km=200-500 N/m). An additional spring (stiffness range: Kr = 20-70 N/m) was connected between hand a starting point to resist movements. Subjects were instructed to move the virtual point mass as fast as possible through suitable hand motions, so that the mass ends up and stops on the 'target' area.
Physioassistant: Sensorimotor training
Subjects in the Sensorimotor training arm had to perform fast-and-accurate reaching movements in different directions. The manipulandum was only used to record hand movements, but throughout the movement it generated no forces.
Eligibility Criteria
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Inclusion Criteria
* no relapses or worsening \>1 in the Expanded Disability Status Scale in the last three months,
* Expanded Disability Status Scale\<7.5,
* Ashworth score at the upper limb lower than 2,
* Nine-Hole Peg Test between 30 s and 180 s
Exclusion:
* previous treatment with robot therapy,
* presence of severe nystagmus,
* visual acuity less than 4/10
* major orthopaedic or other disorders interfering with the protocol
18 Years
ALL
No
Sponsors
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University of Genova
OTHER
Azienda Sanitaria Locale 3 Genovese
OTHER
Fondazione Don Carlo Gnocchi Onlus
OTHER
Responsible Party
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Principal Investigators
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Claudio M Solaro, MD
Role: PRINCIPAL_INVESTIGATOR
ASL 3 Genovese
References
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Basteris A, De Luca A, Sanguineti V, Solaro C, Mueller M, Carpinella I, Cattaneo D, Bertoni R, Ferrarin M. A tailored exercise of manipulation of virtual tools to treat upper limb impairment in Multiple Sclerosis. IEEE Int Conf Rehabil Robot. 2011;2011:5975509. doi: 10.1109/ICORR.2011.5975509.
Solaro C, Cattaneo D, Basteris A, Carpinella I, De Luca A, Mueller M, Bertoni R, Ferrarin M, Sanguineti V. Haptic vs sensorimotor training in the treatment of upper limb dysfunction in multiple sclerosis: A multi-center, randomised controlled trial. J Neurol Sci. 2020 May 15;412:116743. doi: 10.1016/j.jns.2020.116743. Epub 2020 Feb 19.
Other Identifiers
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FISM_Robot
Identifier Type: -
Identifier Source: org_study_id
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