Robotic Rehabilitation and Cognitive Functions

NCT ID: NCT04164381

Last Updated: 2020-05-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

51 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-11-18

Study Completion Date

2020-03-30

Brief Summary

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A recent multicenter study of the Fondazione Don Gnocchi (FDG) Robotic Rehabilitation Group (NCT02879279) showed the efficacy of robotic rehabilitation in upper limb motor recovery after stroke using a set of robots and sensor-based devices. In clinical practice, beside sensory-motor deficits, stroke patients often present concomitant cognitive impairments (as attention and memory disorders). The robotic and technological systems used in the above-mentioned study allow training on some cognitive functions such as visual memory, visual-spatial functions and working memory, as well as motor training of the upper limb. The aim of the study is to assess whether cognitive functions, such as visual memory, visual-spatial skills and working memory (evaluated with specific tests) improve after robotic therapy of the upper limb in subacute stroke patients.

Detailed Description

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It is estimated that up to three quarters of acute and subacute stroke survivors exhibit cognitive impairment. Cognitive impairment can significantly compromise functional recovery, quality of life, and social engagement after stroke. Indeed, some authors showed that the impairment of cognitive functions can negatively influence rehabilitation strategies. Robotic therapy has been proposed as a viable approach for the rehabilitation of the upper limb, as a way to increase the amount and intensity of the therapy, and to standardize the treatment, adding a complex but controlled multisensory stimulation to the patient. In fact, owing to the complex training environments, robotic and technological devices may promote the re-learning capacity, inducing functional or structural plasticity in brain networks that control both motor and cognitive functions. Our hypothesis is that the cognitive engagement of patients during upper limb robotic therapy can impact on some cognitive functions that are compromised after the stroke.

The current pilot study aims to evaluate the effects of an upper limb robotic rehabilitation treatment on cognitive functions in patients with subacute stroke.

Fifty consecutive patients with sub-acute stroke (within 6 months of the event) will be enrolled in two rehabilitation centers.

All patients will perform a robotic treatment of the upper limb (30 sessions, 5 times a week) using a set of robotic devices. The training will include motor-cognitive exercises specifically selected to train spatial attention, vision and working memory, praxis, executive functions, and speed of processing. Furthermore, patients will undergo a comprehensive rehabilitation program including individual conventional physiotherapy (6 times/week), lasting 45 minutes focused on lower limb, sitting and standing training, balance and walking.

Subjects will be evaluated at baseline (T0) and after treatment (T1). To be included in the analysis, patients will have to undergo at least 25 rehabilitation sessions, without interrupting the treatment (due to clinical complications) for more than six consecutive sessions; otherwise, they will be considered as dropouts.

The effects of the rehabilitation intervention on the upper limb function and disability will be assessed with the following clinical scales: Fugl-Meyer Assessment for Upper Extremity (FMA), to evaluate motor function; the Motricity Index (MI), to evaluate muscle strength; the Modified Barthel Index (mBI), to evaluate activities of daily living (ADL) and mobility.

Oxford Cognitive Screen (OCS) will be performed as screening tool to evaluate cognitive functions. Moreover, the following cognitive tests will be used: 1) Digit Span (attention/short-term memory involving strings/series of digits of varying length); 2) Tower of London (planning and problem solving); 3) STROOP test (Stroop Color and Word Test); 4) Symbol Digit Modalities Test (processing speed of visual stimuli); 5) Rey-Osterrieth Complex Figure Test (ROCF) (visuomotor integration).

Conditions

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Stroke

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Robotic assisted intervention

Upper limb robotic therapy using a set of robotic and sensor based devices and exercises specifically selected to train cognitive functions.

Group Type EXPERIMENTAL

Robotic assisted intervention

Intervention Type DEVICE

Robotic treatment of the upper limb (30 sessions, 5 times a week) using a set of 4 robotic devices: Motore (Humanware); Amadeo, Diego, Pablo (Tyromotion). The training will include motor-cognitive exercises specifically selected to train spatial attention, vision and working memory, praxis, executive function, and speed of processing.

Interventions

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Robotic assisted intervention

Robotic treatment of the upper limb (30 sessions, 5 times a week) using a set of 4 robotic devices: Motore (Humanware); Amadeo, Diego, Pablo (Tyromotion). The training will include motor-cognitive exercises specifically selected to train spatial attention, vision and working memory, praxis, executive function, and speed of processing.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* first ischemic or hemorrhagic stroke (verified by MRI or CT);
* time latency within 6 months from stroke (subacute patients);
* age between 35-85 years;
* cognitive abilities adequate to understand the experiments and the follow instructions Token test ≥26.5 (correction as for age and school level);
* upper limb impairment (FMA score ≤58);
* ability to give written consent;
* compliance with the study procedures.

Exclusion Criteria

* history of recurrent stroke;
* inability to understand the instructions required for the study;
* fixed contraction in the affected limb (ankylosis, Modified Ashworth Scale equal to 4);
* severe deficits in visual acuity.
Minimum Eligible Age

35 Years

Maximum Eligible Age

85 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fondazione Don Carlo Gnocchi Onlus

OTHER

Sponsor Role lead

Responsible Party

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Irene Giovanna Aprile

M.D., Ph,D, Principal Investigator, Head of Rehabilitation Unit

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Irene Aprile, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Fondazione Don Carlo Gnocchi Onlus

Locations

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Don Gnocchi Foundation

Rome, , Italy

Site Status

Countries

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Italy

References

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Aprile I, Germanotta M, Cruciani A, Loreti S, Pecchioli C, Cecchi F, Montesano A, Galeri S, Diverio M, Falsini C, Speranza G, Langone E, Papadopoulou D, Padua L, Carrozza MC; FDG Robotic Rehabilitation Group. Upper Limb Robotic Rehabilitation After Stroke: A Multicenter, Randomized Clinical Trial. J Neurol Phys Ther. 2020 Jan;44(1):3-14. doi: 10.1097/NPT.0000000000000295.

Reference Type BACKGROUND
PMID: 31834217 (View on PubMed)

Mehrholz J, Pohl M, Platz T, Kugler J, Elsner B. Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev. 2018 Sep 3;9(9):CD006876. doi: 10.1002/14651858.CD006876.pub5.

Reference Type BACKGROUND
PMID: 30175845 (View on PubMed)

Aprile I, Cruciani A, Germanotta M, Gower V, Pecchioli C, Cattaneo D, Vannetti F, Padua L, Gramatica F. Upper Limb Robotics in Rehabilitation: An Approach to Select the Devices, Based on Rehabilitation Aims, and Their Evaluation in a Feasibility Study. Applied Sciences 2019, 9(18), 3920; https://doi.org/10.3390/app9183920

Reference Type BACKGROUND

Rodgers H, Bosomworth H, Krebs HI, van Wijck F, Howel D, Wilson N, Aird L, Alvarado N, Andole S, Cohen DL, Dawson J, Fernandez-Garcia C, Finch T, Ford GA, Francis R, Hogg S, Hughes N, Price CI, Ternent L, Turner DL, Vale L, Wilkes S, Shaw L. Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial. Lancet. 2019 Jul 6;394(10192):51-62. doi: 10.1016/S0140-6736(19)31055-4. Epub 2019 May 22.

Reference Type BACKGROUND
PMID: 31128926 (View on PubMed)

Rogers JM, Duckworth J, Middleton S, Steenbergen B, Wilson PH. Elements virtual rehabilitation improves motor, cognitive, and functional outcomes in adult stroke: evidence from a randomized controlled pilot study. J Neuroeng Rehabil. 2019 May 15;16(1):56. doi: 10.1186/s12984-019-0531-y.

Reference Type BACKGROUND
PMID: 31092252 (View on PubMed)

Faria AL, Cameirao MS, Couras JF, Aguiar JRO, Costa GM, Bermudez I Badia S. Combined Cognitive-Motor Rehabilitation in Virtual Reality Improves Motor Outcomes in Chronic Stroke - A Pilot Study. Front Psychol. 2018 May 30;9:854. doi: 10.3389/fpsyg.2018.00854. eCollection 2018.

Reference Type BACKGROUND
PMID: 29899719 (View on PubMed)

Perez-Marcos D, Bieler-Aeschlimann M, Serino A. Virtual Reality as a Vehicle to Empower Motor-Cognitive Neurorehabilitation. Front Psychol. 2018 Nov 2;9:2120. doi: 10.3389/fpsyg.2018.02120. eCollection 2018.

Reference Type BACKGROUND
PMID: 30450069 (View on PubMed)

Aprile I, Guardati G, Cipollini V, Papadopoulou D, Mastrorosa A, Castelli L, Monteleone S, Redolfi A, Galeri S, Germanotta M. Robotic Rehabilitation: An Opportunity to Improve Cognitive Functions in Subjects With Stroke. An Explorative Study. Front Neurol. 2020 Nov 19;11:588285. doi: 10.3389/fneur.2020.588285. eCollection 2020.

Reference Type DERIVED
PMID: 33329334 (View on PubMed)

Other Identifiers

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FDGCOG_19

Identifier Type: -

Identifier Source: org_study_id

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