Sustainable Method for Alzheimer's Prediction
Sustainable Method for Alzheimer's Prediction in Mild Cognitive Impairment: EEG Connectivity and Graph Theory Combined With ApoE Testing.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Rome, Italy
- Fondazione Policlinico A.Gemelli IRCCS, Università Cattolica del Sacro Cuore
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Exclusion criteria for AD will be:
- frontotemporal dementia;
- behavioural variant of frontotemporal dementia;
- vascular dementia;
- extra-pyramidal syndromes;
- reversible dementias (including pseudodementia of depression);
- Lewy body dementia.
The exclusion criteria for aMCI will be:
- mild AD, as diagnosed by standard protocols including National Institute on Aging-Alzheimer's Association workgroups (McKhann et al. 2011);
- evidence (including magnetic resonance imaging -MRI procedures) of concomitant dementia such as frontotemporal, vascular and reversible dementias (including pseudo-depressive dementia), marked fluctuations in cognitive performance compatible with Lewy body dementia and/or features of mixed dementias;
- evidence of concomitant extrapyramidal symptoms;
- clinical and indirect evidence of depression as revealed by the Geriatric Depression Scale GDS (Yesavage et al. 1982); scores lower than 14 (no depression);
- other psychiatric diseases, epilepsy, drug addiction, alcohol dependence, use of neuro/psychoactive drugs including acetylcholinesterase inhibitors;
- current or previous uncontrolled or complicated systemic diseases (including diabetes mellitus) or traumatic brain injuries.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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aMCI subjects
EEG recording, ApoE testing
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EEG
ApoE
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Biomarkers: EEG
Time Frame: 2 years
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EEG recording will be performed at rest, with closed eyes from routine electrode scalp positions according to the International 10-20 system.
Functional connectivity analysis will be performed using eLORETA evaluating intracortical Lagged Linear Coherence.
Weighted and undirected networks will be built from the above measure.
Small World parameter is a dimentionless number that will be assessed as Biomarker of brain connectivity networks, since it measures the balance between local connectedness and the global integration of a network, representing brain network organization.
Small world index will be computed in the seven EEG frequency bands delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5
Hz), alpha 2 (10.5-13
Hz), beta 1 (13-20 Hz), beta 2 (20-30 Hz) and gamma (30-45 Hz) (Vecchio et al., 2018 doi: 10.1002/ana.25289)
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2 years
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Biomarker: ApoE4
Time Frame: 2 years
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It will be evaluated the allele of the Apo-E gene as biomarker for the pathogenesis of late-onset and sporadic AD.
The Apo-E test provides a dimentionless value represented by the type of the allele (ε2, ε3,ε4).
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2 years
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Biomarker: Accuracy of digital classifier
Time Frame: 2 years
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Secondary endpoint will be to investigate whether EEG connectivity markers (small world ) along with genetically determined risk-indicators for dementia, as represented by Apo-E testing can reach a greater sensitivity, specificity and accuracy for a digital classifier (i.e. an algorithm that solve the problem of identifying to which of a set of categories a new observation belongs) able to predict the MCI conversion to AD.
The accuracy value is dimentionless number represented by a percentual value and it is the biomarker for the ability of the classifier for the early identification of AD (Vecchio F. et al., 2018 doi: 10.1002/ana.25289)
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2 years
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Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- ROSSINI_MSD_ID1764
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
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