- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05944601
Exploring to Remediate Behavioral Disturbances of Spatial Cognition (BDSC-MCI)
Exploring to Remediate Behavioral Disturbances of Spatial Cognition in Community-dwelling Senior Citizens With Mild Cognitive Impairment by Innovative Technological Apparatus.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Alzheimer's disease (AD) is characterized by a progressive deterioration of cognitive functions with episodic memory loss and spatial disorientation (SD) as main features. Getting lost in community due to AD is associated with a wide range of negative consequences, such as a strong decrease in patients' quality of life. Episodes of SD in the elderly can increase the possibility of being recovered in a nursing home, caused by a loss of the sense of autonomy as well as an increase in potential injuries and, in the worst cases, even death. Additionally, caregiver burden and increased stress, as well as scarce community resources represent other significant problems related to patients' SD. New technological solutions, such as virtual reality (VR), represent promising means for AD assessment and intervention, especially when they can reveal poor ecological performances. In addition to the advanced age, the ε4 allele of Apolipoprotein-E (APO-E) represents the most important risk factor for AD, providing the opportunity to evaluate subclinical behavioral alterations in individuals with subjective cognitive decline (SCD), and Mild Cognitive Impairment (MCI) due to AD, which represents the prodromic phase of dementia. Deterioration of spatial navigation (SN) abilities is often present early in the course of AD. Therefore, a better understanding the neural mechanisms related to SN impairment in patients at high risk of developing AD can help timely diagnosis and intervention. The present study, adopting a technological apparatus for the detection and the rehabilitation of SN deficits, aims to: (i) investigate the performances obtained on SN tasks in a sample of community-dwelling older adults grouped into three levels (healthy controls, individuals with SCD and patients with MCI due to AD), undergoing virtual (The AppeGame) and naturalistic open-space tests (Detour Navigation Test-modified version); (ii) correct SN deficits by computer-based cognitive remediation sessions and VR sessions; (iii) educate participants at high risk of developing dementia about the opportunity offered by technology in supporting SN in exploring urban circuits.
We will analyze results of the virtual and ecological tasks of SN as a function of age, ApoE genotype and belonging of one the three groups, using a multiple linear regression model. The subgroups of participants at highest risk of developing AD will be administered the aforementioned combined cognitive rehabilitation sessions, with a test/retest analysis. Finally, through an online technological monitoring system, participants will be provided personalized feedbacks via smartphone digital health applications connected to a wearable equipped with sensors, in order to self-manage during their journeys alone in urban environments thanks to the use of threshold algorithms capable of supporting their SN.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Davide M. Cammisuli, Ph.D.
- Phone Number: 0039-340-4123485
- Email: davide.cammisuli1@unicatt.it
Study Locations
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Lombardy
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Milano, Lombardy, Italy, 20149
- Recruiting
- Istituto Auxologico Italiano
-
Contact:
- Davide M. Cammisuli, Ph.D.
- Phone Number: 0039-340-4123485
- Email: davide.cammisuli1@unicatt.it
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- age over 65 years;
- education not less than 5 years;
- basic ICT skills measured by the Catholic University devoted software
Exclusion Criteria:
- presence of visual, hearing or motor impairment significantly interfering with spatial navigation tasks;
- neurological/psychiatric disease or other medical conditions preventing spatial navigation;
- history of alcohol or drugs addiction;
- intake of psychotropic drugs;
- presence of dementia.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Healthy controls
Elderly people without cognitive impairment or subjective cognitive decline.
|
|
Subjective cognitive decline
Individuals presenting cognitive complains that are not confirmed by neuropsychological testing.
|
|
patients with MCI due to AD
Patients with Mild Cognitive Impairment with abnormal spinal fluid test for amyloid beta protein.
|
Amyloid-positive MCI patients, and individuals carrying the ApoE- ε4 allele will undergo a combined intervention of computer-based sessions of a spatial memory task by the Erica software (Giunti, Florence, Italy) and VR navigation sessions by the NeuroVirtual 3D software (Serino et al., 2010), in order to improve spatial memory for landmarks location and mental frame syncing for supporting spatial scenarios, respectively.
The intervention will last one month for a total of 12 sessions (3 days a week, 50 minutes per session).
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Detecting drop errors (DEs) and composite disorientation score (CDS) in individuals at increased risk to develop AD in virtual and naturalistic spatial navigation tasks, respectively
Time Frame: March-November 2023
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Lower performances in virtual navigation tasks (higher DEs) and in naturalistic navigation (CDS>1) in patients with MCI due to AD and in APOE-e4 carriers than healthy controls and individuals with subjective cognitive decline
|
March-November 2023
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Improving spatial memory after a combined cognitive training (virtual reality and computer-based cognitive remediation) in a subgroup of patients with MCI due to AD and APOE-e4 carriers
Time Frame: December 2023-January 2024
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Higher performances in the Corsi learning Suvra-span test
|
December 2023-January 2024
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
To educate a dyad (subject and caregiver) about the usefulness of a portable assistive technology for spatial navigation in community settings
Time Frame: January 2023-February 2024
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High scores in the Tele-healthcare Satisfaction Questionnaire-Wearable Technology
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January 2023-February 2024
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 03A203
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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