Mental Representation Techniques for the Treatment of Parkinson´s Disease-related Pain

NCT ID: NCT04651478

Last Updated: 2021-03-23

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

UNKNOWN

Clinical Phase

NA

Total Enrollment

32 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-05-03

Study Completion Date

2021-12-31

Brief Summary

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Pain is an under-reported but prevalent symptom in Parkinson´s Disease (PD), impacting patients' quality of life. Both pain and PD conditions cause cortical excitability reduction, but mental representations techniques are thought to be able to counteract it, resulting also effective in chronic pain conditions. The investigators of the present project aim to evaluate the efficacy of a novel mental representation protocol in the management of pain in PD patients during the ON state. The investigators hypothesize that Action Observation (AO) and Motor Imagery (MI) training through a Brain-Computer Interface (BCI) using Virtual Reality (AO+MI-BCI) can improve clinical pain and its central processing features.

Detailed Description

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Parkinson´s Disease (PD) affects between 4.1 and 4.6 million people in the world. The diagnosis of PD is currently clinical and based on its motor manifestations (bradykinesia, rest tremor, and rigidity). However, non-motor symptoms such as pain, fatigue, and neuropsychiatric manifestations are present in more than 70% of subjects. Pain affects about 85% of patients but is paradoxically under-reported and consequently under-treated in PD patients with a great impact on their quality of life. Levodopa, which is the election treatment in PD, has shown controversial results regarding pain sensitivity and has been shown ineffective for enhancing the endogenous pain modulation system. Furthermore, there is a lack of management protocols and nonpharmacologic treatments for pain in PD. Several syndromes are hypothesized to be involved in PD pain generation. Generally, PD patients suffer from alterations in peripheral transmission, sensitive-discriminative processing, pain perception, and pain interpretation in multiple levels, due to neurodegenerative changes in dopaminergic pathways and non-dopaminergic pain-related structures. Therefore, central mechanisms are proposed to be crucial for the development and establishment of pain in PD patients. Regarding pain processing features, PD patients have reduced pain thresholds, an augmented Temporal Summation (TS) after repetitive nociceptive stimulus, and the impairment of their Conditioned Pain Modulation (CPM) is correlated with greater severity and premature onset of the disease. Cortical excitability reduction is common in patients with pain. Therefore, diverse therapies are being developed to counteract this cortical excitability reduction and obtaining, consequently, effective pain relief. In consonance with these findings, in PD condition, especially in off state, there is also evidence of cortical excitability decrease but, to the best of investigators´ knowledge, there are no studies targeting cortical excitability to treat pain in PD. Thus, the present study proposes mental representation techniques for the treatment of PD-related pain. The mental representation techniques included in the protocol will be Action Observation (AO) and Motor Imagery (MI). The combination of AO and MI has shown to synergically increase cortical excitability, influencing the activation of cortical areas such as M1 and DLPFC. Specifically in PD, AO and MI have also demonstrated to produce corticomotor facilitation. In addition, mental representation training can produce neurophysiological activity similar to actual exercise training, which has shown to decrease the intensity and severity of pain in PD patients. The main aim of this study is to conduct an independent parallel randomized controlled trials based on AO+MI-BCI targeting changes in 1. validated general and specific PD related pain scales and 2. psychophysical measurements of pain modulation mechanisms. The investigators´ main hypothesis is that AO+MI-BCI will be superior to their respective control placebo intervention.

Conditions

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Parkinson Disease Pain

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

This study will be a double-blinded experimental longitudinal prospective randomized controlled trial with a parallel design. The randomization will be realized through randomization software. All the participants who fulfill the inclusion criteria and have none of the exclusion ones will be randomly allocated into two groups: AO+MI through a Brain-Computer Interface (BCI) training paradigm in Virtual Reality (VR) (AO+MI-BCI) or AO of non-related with movement illustrations (AO-control). Allocation concealment will be ensured by the inclusion of the assigned group in closed opaque envelopes that will be opened at the time of the intervention.
Primary Study Purpose

TREATMENT

Blinding Strategy

TRIPLE

Participants Investigators Outcome Assessors
Double-blind criteria will be achieved by following the same protocol with the same instruments in both groups. The evaluator will not be able to stay in the same room during the intervention and patients will not know the instructions and specific hypotheses of each protocol. The statistician will be blinded through the assignment of neutral numbers to both groups. Patients recruited will not meet in waiting rooms to avoid them to comment on their experience during the protocol. Unblinding will be permissible when any event could suppose a risk for the patient's health.

Study Groups

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Action Observation+Motor Imagery through BCI

Action Observation+Motor Imagery through a Brain-Computer Interface training paradigm in Virtual Reality using the "NeuRow" platform during 10 sessions of 20 minutes, divided in 4 series of 5 minutes.

Group Type EXPERIMENTAL

Action Observation+Motor Imagery through BCI

Intervention Type BEHAVIORAL

Patients will undergo the treatment through the NeuRow platform. NeuRow is a gamified Brain-Computer Interface training paradigm in Virtual Reality (or neurogame) that allows patients to perform the same actions as they would do in real-life by imaging the movement. In NeuRow, patients will see a boat and two high fidelity virtual arms gripping two oars in the first-person view. Patients will have to imagine the movement of each corresponding hand to rotate each oar and progress, observing the movement imagined on screen. The goal of the task is to collect as many flags as possible in a fixed amount of time. In order to improve adherence, the number of flags collected will be recorded in each session. It will be able to adapt the boat speed, turn speed, and cut-off angle, to help patients not to deviate in excess from the target. The treatment itself will be performed for 20 minutes each session, divided into 4 series of 5 minutes to prevent fatigue.

Action Observation through non-related with movement illustrations

Control Action Observation protocol of non-related with movement illustrations during 10 sessions of 20 minutes, divided in 4 series of 5 minutes.

Group Type PLACEBO_COMPARATOR

Action Observation through non-related with movement illustrations

Intervention Type BEHAVIORAL

The same configuration will be applied to simulate a BCI task, but playing a video about graphic illustrations, people's faces, and landscapes, never related to human movement. They will address interesting and changing topics to avoid patient's boredom. The control session will last 20 minutes, also divided into 4 series of 5 minutes and the therapist will give the instructions of observing and relax.

Interventions

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Action Observation+Motor Imagery through BCI

Patients will undergo the treatment through the NeuRow platform. NeuRow is a gamified Brain-Computer Interface training paradigm in Virtual Reality (or neurogame) that allows patients to perform the same actions as they would do in real-life by imaging the movement. In NeuRow, patients will see a boat and two high fidelity virtual arms gripping two oars in the first-person view. Patients will have to imagine the movement of each corresponding hand to rotate each oar and progress, observing the movement imagined on screen. The goal of the task is to collect as many flags as possible in a fixed amount of time. In order to improve adherence, the number of flags collected will be recorded in each session. It will be able to adapt the boat speed, turn speed, and cut-off angle, to help patients not to deviate in excess from the target. The treatment itself will be performed for 20 minutes each session, divided into 4 series of 5 minutes to prevent fatigue.

Intervention Type BEHAVIORAL

Action Observation through non-related with movement illustrations

The same configuration will be applied to simulate a BCI task, but playing a video about graphic illustrations, people's faces, and landscapes, never related to human movement. They will address interesting and changing topics to avoid patient's boredom. The control session will last 20 minutes, also divided into 4 series of 5 minutes and the therapist will give the instructions of observing and relax.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Neuroimaging study without previous pathologies.
* Score \> 5 in transfers (bed to chair and back) item in Barthel Index.
* Score = or \> 24 in Mini-Mental State Examination.
* Able to provide informed consent to participate in the study.

Exclusion Criteria

* History of neurologic disease different from PD.
* Presence of non-related to PD pain.
* Dermatologic problems, wounds, or ulcers in the electrode's application area.
* Significative difficulties in language.
* History of alcohol or drugs abuse.
* Non-controlled medical problems.
* Pregnancy.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hospital Beata María Ana

OTHER

Sponsor Role collaborator

Universidad Rey Juan Carlos

OTHER

Sponsor Role collaborator

Universidad Francisco de Vitoria

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Juan Pablo Romero Muñoz, MD PhD

Role: PRINCIPAL_INVESTIGATOR

Universidad Francisco de Vitoria, Facultad de Ciencias Experimentales

Josue Fernández Carnero, PT PhD

Role: PRINCIPAL_INVESTIGATOR

Universidad Rey Juan Carlos

Locations

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Hospital Beata María Ana

Madrid, , Spain

Site Status

Countries

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Spain

Central Contacts

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Juan Pablo Romero Muñoz, MD PhD

Role: CONTACT

+34917091400 ext. 1688

Facility Contacts

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Juan Pablo Romero Muñoz, MD. PhD.

Role: primary

+34917091400 ext. 1688

References

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Kalia LV, Lang AE. Parkinson's disease. Lancet. 2015 Aug 29;386(9996):896-912. doi: 10.1016/S0140-6736(14)61393-3. Epub 2015 Apr 19.

Reference Type BACKGROUND
PMID: 25904081 (View on PubMed)

Martinez-Martin P, Rodriguez-Blazquez C, Kurtis MM, Chaudhuri KR; NMSS Validation Group. The impact of non-motor symptoms on health-related quality of life of patients with Parkinson's disease. Mov Disord. 2011 Feb 15;26(3):399-406. doi: 10.1002/mds.23462. Epub 2011 Jan 24.

Reference Type BACKGROUND
PMID: 21264941 (View on PubMed)

Antonini A, Tinazzi M, Abbruzzese G, Berardelli A, Chaudhuri KR, Defazio G, Ferreira J, Martinez-Martin P, Trenkwalder C, Rascol O. Pain in Parkinson's disease: facts and uncertainties. Eur J Neurol. 2018 Jul;25(7):917-e69. doi: 10.1111/ene.13624. Epub 2018 Apr 18.

Reference Type BACKGROUND
PMID: 29520899 (View on PubMed)

Wright DJ, Williams J, Holmes PS. Combined action observation and imagery facilitates corticospinal excitability. Front Hum Neurosci. 2014 Nov 27;8:951. doi: 10.3389/fnhum.2014.00951. eCollection 2014.

Reference Type BACKGROUND
PMID: 25505880 (View on PubMed)

Vourvopoulos A, Ferreira A, Bermúdez i Badia S. NeuRow: An Immersive VR Environment for Motor-Imagery Training with the Use of Brain-Computer Interfaces and Vibrotactile Feedback. 2016.

Reference Type BACKGROUND

Morales Tejera D, Fernandez-Carnero J, Suso-Marti L, Cano-de-la-Cuerda R, Lerin-Calvo A, Remon-Ramiro L, La Touche R. Comparative study of observed actions, motor imagery and control therapeutic exercise on the conditioned pain modulation in the cervical spine: a randomized controlled trial. Somatosens Mot Res. 2020 Sep;37(3):138-148. doi: 10.1080/08990220.2020.1756244. Epub 2020 Apr 27.

Reference Type BACKGROUND
PMID: 32340585 (View on PubMed)

Vourvopoulos A, Jorge C, Abreu R, Figueiredo P, Fernandes JC, Bermudez I Badia S. Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report. Front Hum Neurosci. 2019 Jul 11;13:244. doi: 10.3389/fnhum.2019.00244. eCollection 2019.

Reference Type BACKGROUND
PMID: 31354460 (View on PubMed)

Chaudhuri KR, Rizos A, Trenkwalder C, Rascol O, Pal S, Martino D, Carroll C, Paviour D, Falup-Pecurariu C, Kessel B, Silverdale M, Todorova A, Sauerbier A, Odin P, Antonini A, Martinez-Martin P; EUROPAR and the IPMDS Non Motor PD Study Group. King's Parkinson's disease pain scale, the first scale for pain in PD: An international validation. Mov Disord. 2015 Oct;30(12):1623-31. doi: 10.1002/mds.26270. Epub 2015 Jun 11.

Reference Type BACKGROUND
PMID: 26096067 (View on PubMed)

Perez-Lloret S, Ciampi de Andrade D, Lyons KE, Rodriguez-Blazquez C, Chaudhuri KR, Deuschl G, Cruccu G, Sampaio C, Goetz CG, Schrag A, Martinez-Martin P, Stebbins G; Members of the MDS Committee on Rating Scales Development. Rating Scales for Pain in Parkinson's Disease: Critique and Recommendations. Mov Disord Clin Pract. 2016 Jun 24;3(6):527-537. doi: 10.1002/mdc3.12384. eCollection 2016 Nov-Dec.

Reference Type BACKGROUND
PMID: 30363588 (View on PubMed)

Imai Y, Petersen KK, Morch CD, Arendt Nielsen L. Comparing test-retest reliability and magnitude of conditioned pain modulation using different combinations of test and conditioning stimuli. Somatosens Mot Res. 2016 Sep-Dec;33(3-4):169-177. doi: 10.1080/08990220.2016.1229178. Epub 2016 Sep 20.

Reference Type BACKGROUND
PMID: 27650216 (View on PubMed)

Santos-Garcia D, Oreiro M, Perez P, Fanjul G, Paz Gonzalez JM, Feal Painceiras MJ, Cores Bartolome C, Valdes Aymerich L, Garcia Sancho C, Castellanos Rodrigo MDM. Impact of Coronavirus Disease 2019 Pandemic on Parkinson's Disease: A Cross-Sectional Survey of 568 Spanish Patients. Mov Disord. 2020 Oct;35(10):1712-1716. doi: 10.1002/mds.28261. Epub 2020 Sep 22.

Reference Type BACKGROUND
PMID: 32776601 (View on PubMed)

Other Identifiers

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PainPD-Imagine

Identifier Type: -

Identifier Source: org_study_id

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