Evaluation of Cognitive Functions in 20 Patients With Type 1 Myotonic Dystrophy With Virtual Reality Approach

NCT ID: NCT06270186

Last Updated: 2024-02-21

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

WITHDRAWN

Clinical Phase

NA

Study Classification

INTERVENTIONAL

Study Start Date

2023-11-30

Study Completion Date

2024-11-30

Brief Summary

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Type 1 myotonic dystrophy (MD1) is a genetic and hereditary disease that primarily affects muscle tissue, resulting in myotonia (difficulty relaxing after contraction) and atrophy (progressive muscle weakening with decreased muscle volume). It also affects eyes, heart, endocrine system, gastrointestinal system and central nervous system. Specific cognitive abilities are impaired in patients with MD1 such as attention, visio-spatial or visio-building abilities as well as executive dysfunctions.

Currently, the cognitive assessment of MD1 patients is based on classical neuropsychological tests, which are time-consuming and require a MD1 expert neuropsychologist. Moreover, it is usually very difficult for MD1 patients to accept performing these tests, and when they agree to perform them, they usually give up before the end. This finding is more frequent in MD1 patients with high level of cognitive impairment.

In order to overcome these difficulties in assessing cognitive functions of MD1 patients, the investigators decided to use innovative tools such as virtual reality, which allow individuals to experience a sensory-motor and cognitive experience in a digitally world through a helmet, glasses and joysticks.

The start-up My Cyber Royaume from Lille, in collaboration with the reference center of neuromuscular diseases from Nice coordinated by Pr Sacconi, have developed a software "Good Diag NMD" which uses virtual reality to assess cognitive disorders, more specifically executive functions in patients with type 1 myotonic dystrophy.

Detailed Description

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Conditions

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Myotonic Dystrophy 1

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Type 1 myotonic dystrophy

Type 1 myotonic dystrophy patients doing classical neuropsychological test and on "Good Diag NMD" software

Group Type OTHER

Type 1 myotonic dystrophy

Intervention Type DIAGNOSTIC_TEST

To compare classical neuropsychological test and on "Good Diag NMD" software in Type 1 myotonic dystrophy patients

Interventions

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Type 1 myotonic dystrophy

To compare classical neuropsychological test and on "Good Diag NMD" software in Type 1 myotonic dystrophy patients

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* male or female age ≥ 18
* suffering with type 1 myotonic dystrophy confirmed by molecular biology
* suffering with dysexecutive impairments, with a pathologic BREF score ≤ 15
* affiliated to social security
* able to understand the inform consent form

Exclusion Criteria

* suffering with visual or auditive impairments preventing them doing tests
* suffering with other pathologies preventing them doing tests
* suffering with motor impairments preventing them holding joysticks or carrying helmet
* protection by law under guardianship, or who cannot participate in a clinical study under Article L. 1121-16 of the French Code of Public Health
* patient under treatment that may affect cognitive functions (ie : Modafinil)
* participation in the last 3 months in a clinical research study in which he / she has been exposed to a pharmaceutical product or a medical device
* pregnant or breastfeeding female patient
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Centre Hospitalier Universitaire de Nice

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Sabrina SACCONI

Role: PRINCIPAL_INVESTIGATOR

Centre Hospitalier Universitaire de Nice

Other Identifiers

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20-AOIP-04

Identifier Type: -

Identifier Source: org_study_id

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