Interest and Feasibility of the DIGItracking Technique for the Early Diagnosis of COGnitive Disorders

NCT ID: NCT05784623

Last Updated: 2023-03-27

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

Total Enrollment

135 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-15

Study Completion Date

2022-04-30

Brief Summary

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The main objective is to assess the usability of a novel tool of neurocognitive disorders detection, called the Digitracking, by the elderly population. The Digitracking technique is based on the eye tracking concept to assess cognitive decline (Lio et al. 2019). Instead of capturing eye movements, the new device captures the finger trajectory while exploring a blurred picture on a tablet. The usability of such a technology is assessed through objective and subjective metrics, such as the user experience.

Detailed Description

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Methods for cognitive decline diagnosis in elderly patients using simple, fun and ecological tests remain a major health issue. The objective is the early diagnosis of disorders in order to offer quick management of the decline of cognitive functions.

Eye tracking is a proven technique to study perceptual and cognitive functions in children and adults. It has recently been highlighted that it was also relevant to analyze the perceptual and cognitive functions of elderly people at different stages of neurocognitive disorders. Although very precise, this technique remains restrictive since it requires expensive equipment, technical skills, and long and repetitive tests while the patient stays motionless.

A new approach using the digit-tracking, named Digitrack (Lio et al. 2019), has shown excellent correlation with the eye tracking. The general principle is as follows: a blurred image is displayed on a touchpad screen. This degraded image reproduces the spatial resolution of the peripheral retina. While the patient put his finger on the screen, the area around the finger is unblurred, simulating the foveal region (central region) of the eye. By sliding his finger, the subject moves the unblurred window and can explore the image. The exploration trajectory, like the eye movement trajectory with eye tracking, is recorded and reveals the subjective regions of interest contained in the image which help to assess the user's neurocognitive functions.

The advantage of the Digitrack process is to require a cheap and easy-to-use device to assess the cognitive status of patients in a fun way and close to real conditions.

To date, its usability has not been demonstrated in elderly patients with or without neurocognitive disorders.

The investigators formulate the main hypothesis that patients visiting or hospitalized in the acute care geriatrics department, with or without cognitive disorders, can use the Digitrack process.

Conditions

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Aging

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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User experience

User experience is assessed by validated scales

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Men or women ≥ 75 years old
* Consultation or hospitalization in geriatrics department
* Subjects who can give written consent to participate in the study

Exclusion Criteria

* Photosensitive epilepsy
* Uncorrected visual deficiency
* Any significative impairment at the upper limb level preventing from manipulating the device
* Persons deprived of their liberty by administrative or judicial decision, persons under psychiatric care under duress, adults subject to a legal protection measure or unable to express their consent
Minimum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Angers

OTHER_GOV

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Angers University Hospital

Angers, , France

Site Status

Countries

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France

References

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Lio G, Fadda R, Doneddu G, Duhamel JR, Sirigu A. Digit-tracking as a new tactile interface for visual perception analysis. Nat Commun. 2019 Nov 26;10(1):5392. doi: 10.1038/s41467-019-13285-0.

Reference Type BACKGROUND
PMID: 31772154 (View on PubMed)

Chi MTH, Wylie R. The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes. Educational Psychologist. 2014; 49:219-243.

Reference Type BACKGROUND

Other Identifiers

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2021-162

Identifier Type: -

Identifier Source: org_study_id

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