- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07272811
Neurocognitive Assessment Platform 4 Alzheimer (NAP4A2020)
The aging population in Europe is leading to an increase in neurodegenerative diseases, such as Alzheimer's disease (AD), which is expected to affect 152 million people worldwide by 2050. In Italy, there are approximately 1.2 million cases of dementia, with 600,000 attributed to AD. Given the limited effectiveness of current pharmacological treatments, there is a growing need for early, non-pharmacological interventions to slow disease progression and improve the quality of life for patients and caregivers.
The Neurocognitive Assessment Platform 4 Alzheimer (NAP4A) study aims to create a digital platform for the early detection of amnestic mild cognitive impairment (MCIa), considered an intermediate stage between normal aging and dementia. The platform uses non-invasive biometric tools, including EEG, blood flow sensors, and eye-tracking devices, to collect neurophysiological and behavioral data.
The study will involve 100 participants aged 55 to 80, divided into two groups: one with individuals diagnosed with MCIa and a control group of healthy participants. Over 12 months, regular assessments will be conducted to identify markers that predict the progression from MCIa to AD. The goal is to develop advanced diagnostic tools that support early and targeted interventions.
Study Overview
Status
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Elisa Canu, PhD
- Phone Number: 00390226433051
- Email: canu.elisa@hsr.it
Study Contact Backup
- Name: Virginia Sanchini, PhD
- Email: sanchini.virginia@hsr.it
Study Locations
-
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Italy
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Milan, Italy, Italy, 20132
- Recruiting
- IRCCS San Raffele
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Contact:
- Massimo Filippi, MD
- Phone Number: 00390226433054
- Email: filippi.massimo@hsr.it
-
Contact:
- Elisa Canu, PhD
- Email: canu.elisa@hsr.it
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion criteria common to both experimental groups:
- Signature of informed consent
- Age between 55 and 80 years
- Absence of functional impact on daily living activities or minimal impact on instrumental activities
Specfic inclusion criteria for Healthy Controls recruitment:
- Normal global cognitive efficiency (Mini Mental State Examination scores of 28 or higher)
- Absence of specific cognitive deficits (memory and other cognitive domains) that are abnormal for age, sex, and education level (1.5 standard deviations below the mean for age- and education-matched controls), as assessed by objective, standardized cognitive tests.
Specific inclusion criteria for aMCI recruitment:
- Cognitive difficulties reported by the individual, their family member, or their primary care physician
- Normal global cognitive efficiency (Mini Mental State Examination score within 0.5 standard deviations of the average for age- and education-matched control subjects).
- Specific cognitive deficits related to memory or multi-domain cognitive impairments (involving memory and other cognitive domains) that are atypical for the individual's age (1.5 standard deviations below the average for age- and education-matched controls), as determined by objective, standardized cognitive tests.
Exclusion Criteria:
- Rejection of informed consent
- Important sensory deficits (e.g., hearing loss or hypovisus)
- Current or previous history of psychiatric illness
- Current or previous degenerative pathology of the central nervous system (CNS)
- Presence of systemic diseases in anamnesis
- Presence of cerebrovascular events in anamnesis
- Use of alcohol or psychotropic substances in anamnesis
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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aMCI patients
Individuals diagnosed with single- or multi-domain amnestic MCI (aMCI)
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Healthy Controls
Healthy individuals (with similar sex, age, and education level to the aMCI group)
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Development of NAP4A Platform
Time Frame: 12 months
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To create a digital tool for fast and easy cognitive and behavioral assessment to examine the preclinical stage of Alzheimer's: Neurocognitive Assessment Platform 4 Alzheimer (NAP4A)
|
12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Early diagnosis of aMCI at risk of conversion to AD
Time Frame: 12 months
|
To identify aMCI individuals at an early stage who are at risk of progression to AD using the Neurocognitive Assessment Platform 4 Alzheimer (NAP4A)
|
12 months
|
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Identify the main predictive markers
Time Frame: 12 months
|
To develop probability markers that predict the likelihood of aMCI individuals converting to AD based on data from the Neurocognitve Assessment Platform 4 Alzheimer
|
12 months
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A, Holtzman DM, Jagust WJ, Petersen RC, Snyder PJ, Carrillo MC, Thies B, Phelps CH. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):270-9. doi: 10.1016/j.jalz.2011.03.008. Epub 2011 Apr 21.
- Petersen RC, Morris JC. Mild cognitive impairment as a clinical entity and treatment target. Arch Neurol. 2005 Jul;62(7):1160-3; discussion 1167. doi: 10.1001/archneur.62.7.1160. No abstract available.
- Bherer L. Cognitive plasticity in older adults: effects of cognitive training and physical exercise. Ann N Y Acad Sci. 2015 Mar;1337:1-6. doi: 10.1111/nyas.12682.
- Zucchella C, Sinforiani E, Tamburin S, Federico A, Mantovani E, Bernini S, Casale R, Bartolo M. The Multidisciplinary Approach to Alzheimer's Disease and Dementia. A Narrative Review of Non-Pharmacological Treatment. Front Neurol. 2018 Dec 13;9:1058. doi: 10.3389/fneur.2018.01058. eCollection 2018.
- Yankner BA, Lu T, Loerch P. The aging brain. Annu Rev Pathol. 2008;3:41-66. doi: 10.1146/annurev.pathmechdis.2.010506.092044.
- Sun Z, van de Giessen M, Lelieveldt BP, Staring M. Detection of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Longitudinal Brain MRI. Front Neuroinform. 2017 Feb 24;11:16. doi: 10.3389/fninf.2017.00016. eCollection 2017.
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- NAP4A2020
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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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