NCT04778852

Brief Summary

The ability to walk independently is a primary goal when rehabilitating an individual with Parkinson Disease (PD). Indeed, PD patients display a flexed posture that coupled with an excessive joint stiffness lead to a poor walking mechanics that increase their risk of falls. Although studies have already shown the many benefits of robotic-assisted gait training in PD patients, research focusing on optimal rehabilitation methods has been directed towards powered lower-limb exoskeleton. Combining the advantages delivered from the grounded devices with the ability to train in a real-world environment, these systems provide a greater level of subject participation and increase subject's functional abilities while the wearable robotic system guarantees less support. The purpose of the present work is to evaluate the effects of an Over-ground Wearable Exoskeleton Training (OWET) on gait impairments in comparison with a multidisciplinary intensive rehabilitation treatment. As gait is a complex task that involves both central (CNS) and peripheral nervous systems (PNS), targeted rehabilitation must restore not only gait mechanics (ST parameters) but also physiological gait pattern (joint kinematics and dynamics). To this aim the impact of OWET on both CNS and PNS will be evaluated. Thus, a quantitative assessment of an individual's gait and neuromuscular function to robustly evaluate recovery of altered sensorimotor function at both the PNS and CNS is proposed. To this aim, comprehensive GA (spatiotemporal (ST) parameter, joint kinematics, joint stiffness) and electromyography (EMG) will be combined to determine PNS improvements, and fMRI with EEG will be used to assess CNS improvements.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
50

participants targeted

Target at P50-P75 for not_applicable parkinson-disease

Timeline
Completed

Started Jun 2020

Longer than P75 for not_applicable parkinson-disease

Geographic Reach
1 country

2 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 12, 2020

Completed
6 months until next milestone

First Submitted

Initial submission to the registry

November 30, 2020

Completed
3 months until next milestone

First Posted

Study publicly available on registry

March 3, 2021

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 12, 2022

Completed
1.6 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

May 10, 2023

Status Verified

May 1, 2022

Enrollment Period

2 years

First QC Date

November 30, 2020

Last Update Submit

May 9, 2023

Conditions

Keywords

Parkinson Diseaserehabilitation exhoskeletongait analysisfMRIElectroencephalogram

Outcome Measures

Primary Outcomes (22)

  • Change in joint kinematics after 30 days

    Joint kinematics (degrees): trunk, pelvis, hip, knee, ankle (flexion-extension, ab-adduction, internal - external rotation)

    Day 30

  • Change in joint kinematics after 60 days

    Joint kinematics (degrees): trunk, pelvis, hip, knee, ankle (flexion-extension, ab-adduction, internal - external rotation)

    Day 60

  • Change in Spatiotemporal parameters after 30 days - Gait velocity

    Gait velocity (meters/seconds)

    Day 30

  • Change in Spatiotemporal parameters after 60 days - Gait velocity

    Gait velocity (meters/seconds)

    Day 60

  • Change in Spatial parameters after 30 days

    Step width (meters), step length (meters)

    Day 30

  • Change in Spatial parameters after 60 days

    Step width (meters), step length (meters)

    Day 60

  • Change in Temporal parameters after 30 days

    Step duration (seconds), gait period (seconds),stance period (seconds), swing period (seconds), double support (seconds)

    Day 30

  • Change in Temporal parameters after 60 days

    Step duration (seconds), gait period (seconds),stance period (seconds), swing period (seconds), double support (seconds)

    Day 60

  • Change in Spatiotemporal parameters after 30 days - Cadence

    Cadence (steps/minute)

    Day 30

  • Change in Spatiotemporal parameters after 60 days - Cadence

    Cadence (steps/minute)

    Day 60

  • Change in balance after 30 days - center of pressure spatial parameters

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: mean distance from centre of COP trajectory (mm), root mean square of COP time series (mm), sway path, total COP trajectory length (mm), range of COP displacement (mm).

    Day 30

  • Change in balance after 60 days - center of pressure spatial parameters

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: mean distance from centre of COP trajectory (mm), root mean square of COP time series (mm), sway path, total COP trajectory length (mm), range of COP displacement (mm)

    Day 60

  • Change in balance after 30 days - center of pressure velocity

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: mean COP velocity (mm/s)

    Day 30

  • Change in balance after 60 days - center of pressure velocity

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: mean COP velocity (mm/s)

    Day 60

  • Change in balance after 30 days - center of pressure frequency

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: mean frequency (Hz), i.e., number, per second, of loops that have to be run by COP to cover total trajectory equal to sway path ; median frequency (Hz), frequency below which 50% of total power is present; 95% power frequency (Hz), frequency below which 95% of total power is present, centroidal frequency (Hz), frequency at which spectral mass is concentrated.

    Day 30

  • Change in balance after 60 days - center of pressure frequency

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: mean frequency (Hz), i.e., number, per second, of loops that have to be run by COP to cover total trajectory equal to sway path ; median frequency (Hz), frequency below which 50% of total power is present; 95% power frequency (Hz), frequency below which 95% of total power is present, centroidal frequency (Hz), frequency at which spectral mass is concentrated.

    Day 60

  • Change in balance after 30 days - center of pressure ellipse parameters

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: area of 95% confidence circumference (mm\^2), area of 95% confidence ellipse (mm\^2).

    Day 30

  • Change in balance after 60 days - center of pressure ellipse parameters

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: area of 95% confidence circumference (mm\^2), area of 95% confidence ellipse (mm\^2).

    Day 60

  • Change in balance after 30 days - center of pressure sway area

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: sway area, computed as area included in COP displacement per unit of time (mm\^2/seconds).

    Day 30

  • Change in balance after 60 days - center of pressure sway area

    Balance during Romberg Test. From the center of pressure (COP) the following parameters will be extracted: sway area, computed as area included in COP displacement per unit of time (mm\^2/seconds).

    Day 60

  • Change in muscle forces after 30 days

    Musculotendon forces estimated via musculoskeletal modeling (OpenSim, CEINMS)

    Day 30

  • Change in muscle forces after 60 days

    Musculotendon forces estimated via musculoskeletal modeling (OpenSim, CEINMS)

    Day 60

Secondary Outcomes (20)

  • Change in Movement Disorder Society - Unified Parkinson Disease Rating Scale (MDS-UPDRS) after 30 days

    Day 30

  • Change in Movement Disorder Society - Unified Parkinson Disease Rating Scale (MDS-UPDRS) after 60 days

    Day 60

  • Change in Timed Up and Go test (TUG) after 30 days

    Day 30

  • Change in Timed Up and Go test (TUG) after 60 days

    Day 60

  • Change in Berg Balance Scale (BBS) after 30 days

    Day 30

  • +15 more secondary outcomes

Study Arms (2)

EksoGT

EXPERIMENTAL

Device: EksoGT. EksoGT is an overground wearable gait trainer. The therapy will be carried out 3 days a week for 4 weeks.

Device: Experimental: EksoGT

Functional kinematic training

ACTIVE COMPARATOR

Device: No device. The functional kinematic training will be delivered as comparator treatment and will be carried out 3 days a week for 4 weeks.

Other: Functional kinematic training

Interventions

EksoGT is an overground wearable gait trainer. The therapy will be carried out 3 days a week for 4 weeks.

EksoGT

Device: No device. The functional kinematic training will be delivered as comparator treatment and will be carried out 3 days a week for 4 weeks.

Functional kinematic training

Eligibility Criteria

Age20 Years - 90 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patient with rigid-acinetic bilateral PD form
  • Hoehn-Yahr between 3-4
  • At least 4 years of disease history
  • Stable drug therapy response without any change performed in the 3 months before the study
  • Presence of freezing (FOG) and of postural instability not responding to parkinsonian therapy
  • Mini Mental State Evaluation \> 24/30

You may not qualify if:

  • Systemic illness
  • Presence of cardiac pacemaker
  • Postural abnormalities, orthopedic comorbidities that do not match the active physiotherapy treatment
  • Presence of deep brain stimulation
  • Presence of severe disautonomia with marked hypotension
  • Obsessive-Compulsive disorder (OCD)
  • Major depression
  • Dementia and psychosis
  • History or active neoplasia
  • Pregnancy
  • Other criteria that do not respect the device counterindications

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

University of Padova

Padua, 35128, Italy

RECRUITING

Fresco Parkinson Center, Villa Margherita

Vicenza, 36057, Italy

RECRUITING

Related Publications (22)

  • Benedetti MG, Beghi E, De Tanti A, Cappozzo A, Basaglia N, Cutti AG, Cereatti A, Stagni R, Verdini F, Manca M, Fantozzi S, Mazza C, Camomilla V, Campanini I, Castagna A, Cavazzuti L, Del Maestro M, Croce UD, Gasperi M, Leo T, Marchi P, Petrarca M, Piccinini L, Rabuffetti M, Ravaschio A, Sawacha Z, Spolaor F, Tesio L, Vannozzi G, Visintin I, Ferrarin M. SIAMOC position paper on gait analysis in clinical practice: General requirements, methods and appropriateness. Results of an Italian consensus conference. Gait Posture. 2017 Oct;58:252-260. doi: 10.1016/j.gaitpost.2017.08.003. Epub 2017 Aug 5.

    PMID: 28825997BACKGROUND
  • Sartori M, Fernandez JW, Modenese L, Carty CP, Barber LA, Oberhofer K, Zhang J, Handsfield GG, Stott NS, Besier TF, Farina D, Lloyd DG. Toward modeling locomotion using electromyography-informed 3D models: application to cerebral palsy. Wiley Interdiscip Rev Syst Biol Med. 2017 Mar;9(2). doi: 10.1002/wsbm.1368. Epub 2016 Dec 21.

    PMID: 28002649BACKGROUND
  • Bortole M, Venkatakrishnan A, Zhu F, Moreno JC, Francisco GE, Pons JL, Contreras-Vidal JL. The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study. J Neuroeng Rehabil. 2015 Jun 17;12:54. doi: 10.1186/s12984-015-0048-y.

    PMID: 26076696BACKGROUND
  • Volpe D, Signorini M, Marchetto A, Lynch T, Morris ME. A comparison of Irish set dancing and exercises for people with Parkinson's disease: a phase II feasibility study. BMC Geriatr. 2013 Jun 4;13:54. doi: 10.1186/1471-2318-13-54.

    PMID: 23731986BACKGROUND
  • Sartori M, Lloyd DG, Farina D. Corrections to "Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies". IEEE Trans Biomed Eng. 2016 Jun;63(6):1341. doi: 10.1109/TBME.2016.2563138.

    PMID: 27214882BACKGROUND
  • Galli M, Cimolin V, De Pandis MF, Le Pera D, Sova I, Albertini G, Stocchi F, Franceschini M. Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score. Funct Neurol. 2016 Jul-Sep;31(3):163-70. doi: 10.11138/fneur/2016.31.3.163.

    PMID: 27678210BACKGROUND
  • Sale P, De Pandis MF, Le Pera D, Sova I, Cimolin V, Ancillao A, Albertini G, Galli M, Stocchi F, Franceschini M. Robot-assisted walking training for individuals with Parkinson's disease: a pilot randomized controlled trial. BMC Neurol. 2013 May 24;13:50. doi: 10.1186/1471-2377-13-50.

    PMID: 23706025BACKGROUND
  • Fundaro C, Giardini A, Maestri R, Traversoni S, Bartolo M, Casale R. Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study. PLoS One. 2018 Feb 14;13(2):e0191894. doi: 10.1371/journal.pone.0191894. eCollection 2018.

    PMID: 29444172BACKGROUND
  • Picelli A, Melotti C, Origano F, Waldner A, Fiaschi A, Santilli V, Smania N. Robot-assisted gait training in patients with Parkinson disease: a randomized controlled trial. Neurorehabil Neural Repair. 2012 May;26(4):353-61. doi: 10.1177/1545968311424417. Epub 2012 Jan 18.

    PMID: 22258155BACKGROUND
  • Gassert R, Dietz V. Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective. J Neuroeng Rehabil. 2018 Jun 5;15(1):46. doi: 10.1186/s12984-018-0383-x.

    PMID: 29866106BACKGROUND
  • Del Din S, Bertoldo A, Sawacha Z, Jonsdottir J, Rabuffetti M, Cobelli C, Ferrarin M. Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study. J Neuroeng Rehabil. 2014 Apr 9;11:53. doi: 10.1186/1743-0003-11-53.

    PMID: 24716475BACKGROUND
  • Scarton A, Jonkers I, Guiotto A, Spolaor F, Guarneri G, Avogaro A, Cobelli C, Sawacha Z. Comparison of lower limb muscle strength between diabetic neuropathic and healthy subjects using OpenSim. Gait Posture. 2017 Oct;58:194-200. doi: 10.1016/j.gaitpost.2017.07.117. Epub 2017 Jul 31.

    PMID: 28802220BACKGROUND
  • McGrath RL, Pires-Fernandes M, Knarr B, Higginson JS, Sergi F. Toward goal-oriented robotic gait training: The effect of gait speed and stride length on lower extremity joint torques. IEEE Int Conf Rehabil Robot. 2017 Jul;2017:270-275. doi: 10.1109/ICORR.2017.8009258.

    PMID: 28813830BACKGROUND
  • Volpe D, Pavan D, Morris M, Guiotto A, Iansek R, Fortuna S, Frazzitta G, Sawacha Z. Underwater gait analysis in Parkinson's disease. Gait Posture. 2017 Feb;52:87-94. doi: 10.1016/j.gaitpost.2016.11.019. Epub 2016 Nov 10.

    PMID: 27888696BACKGROUND
  • Frazzitta G, Balbi P, Maestri R, Bertotti G, Boveri N, Pezzoli G. The beneficial role of intensive exercise on Parkinson disease progression. Am J Phys Med Rehabil. 2013 Jun;92(6):523-32. doi: 10.1097/PHM.0b013e31828cd254.

    PMID: 23552330BACKGROUND
  • Durandau G, Farina D, Sartori M. Robust Real-Time Musculoskeletal Modeling Driven by Electromyograms. IEEE Trans Biomed Eng. 2018 Mar;65(3):556-564. doi: 10.1109/TBME.2017.2704085. Epub 2017 May 12.

    PMID: 28504931BACKGROUND
  • Sartori M, Maculan M, Pizzolato C, Reggiani M, Farina D. Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion. J Neurophysiol. 2015 Oct;114(4):2509-27. doi: 10.1152/jn.00989.2014. Epub 2015 Aug 5.

    PMID: 26245321BACKGROUND
  • Sawacha Z, Carraro E, Del Din S, Guiotto A, Bonaldo L, Punzi L, Cobelli C, Masiero S. Biomechanical assessment of balance and posture in subjects with ankylosing spondylitis. J Neuroeng Rehabil. 2012 Aug 29;9:63. doi: 10.1186/1743-0003-9-63.

    PMID: 22931459BACKGROUND
  • Sawacha Z, Guarneri G, Cristoferi G, Guiotto A, Avogaro A, Cobelli C. Integrated kinematics-kinetics-plantar pressure data analysis: a useful tool for characterizing diabetic foot biomechanics. Gait Posture. 2012 May;36(1):20-6. doi: 10.1016/j.gaitpost.2011.12.007. Epub 2012 Mar 30.

    PMID: 22464271BACKGROUND
  • Teramoto H, Morita A, Ninomiya S, Akimoto T, Shiota H, Kamei S. Relation between Resting State Front-Parietal EEG Coherence and Executive Function in Parkinson's Disease. Biomed Res Int. 2016;2016:2845754. doi: 10.1155/2016/2845754. Epub 2016 Jun 28.

    PMID: 27433473BACKGROUND
  • Herz DM, Eickhoff SB, Lokkegaard A, Siebner HR. Functional neuroimaging of motor control in Parkinson's disease: a meta-analysis. Hum Brain Mapp. 2014 Jul;35(7):3227-37. doi: 10.1002/hbm.22397. Epub 2013 Oct 5.

    PMID: 24123553BACKGROUND
  • Pizzolato C, Lloyd DG, Sartori M, Ceseracciu E, Besier TF, Fregly BJ, Reggiani M. CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks. J Biomech. 2015 Nov 5;48(14):3929-36. doi: 10.1016/j.jbiomech.2015.09.021. Epub 2015 Oct 19.

    PMID: 26522621BACKGROUND

Related Links

MeSH Terms

Conditions

Parkinson Disease

Condition Hierarchy (Ancestors)

Parkinsonian DisordersBasal Ganglia DiseasesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesMovement DisordersSynucleinopathiesNeurodegenerative Diseases

Study Officials

  • Zimi Sawacha, PhD

    University of Padova

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Marco Romanato, MSEng

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
INVESTIGATOR
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

November 30, 2020

First Posted

March 3, 2021

Study Start

June 12, 2020

Primary Completion

June 12, 2022

Study Completion

December 31, 2023

Last Updated

May 10, 2023

Record last verified: 2022-05

Locations