Multi-modal Neuroimaging in Alzheimer's Disease

  • STATUS
    Recruiting
  • participants needed
    295
  • sponsor
    University Hospital, Caen
Updated on 8 November 2020
early diagnosis
mini-mental state examination
apolipoprotein e

Summary

Alzheimer's disease (AD) is a major public health problem due to its socio-economic weight. An early diagnosis of AD is urgently needed as it would constitute a determinant breakthrough from a social, financial and research standpoints. Therefore, the investigators need predictive markers of AD, and neuroimaging is a particularly promising tool, especially when using complementary neuroimaging techniques and a longitudinal design, allowing to assess the relationships between the different biomarkers of the disease, their dynamic and their chronology.

Description

The three main objectives of this project are:

  • To Identify, compare and combine the predictive markers of AD,
  • To better understand the pathophysiologic mechanisms of AD,
  • To study the ability of different neuroimaging techniques to monitor AD's evolution.

For these purposes, detailed neuropsychological evaluations, biological measures and brain structural & functional imaging measures are associated for a fully-comprehensive description of the different manifestations of AD through disease progression and toward identifying early markers.

Subjects are evaluated using neuropsychological tests of episodic memory (encoding vs. retrieval), executive functions (inhibition, flexibility, and updating processes), self-judgment, theory of mind, mental imagery and verbal fluency. A FDG-PET measure of resting state glucose consumption, an AV45-PET measure of amyloid deposition as well as anatomical, resting-state and activation fMRI scans are performed for each volonteer. In addition, blood and cerebro-spinal fluid samples will be performed to determine different biomarkers (A1-40, A1-42 and tPA as circulating blood proteins and A40, A42, tau and its phosphorylated form in CSF). The investigators also study the polymorphism of Apolipoprotein E as a genetic risk factor of AD.

One hundred and twenty healthy controls (40 young, 40 middle age and 40 elderly), 40 Mild Cognitive Impairment patients (MCI; i.e. isolated memory impairment and increased risk of developing AD) and 30 AD patients will be selected. Participants with increased risk of developing AD and without objective evidence will be also studied: 50 asymptomatic subjects from families carrying a genetic mutation with an autosomal dominant transmission (NORMA) and 40 Subjective Cognitive Impairment patients (SCI).

Clinical follow-up of patients will be completed during 36 months (18 months for AD patients), as a neuropsychological evaluation every 6 months. Comparable neuropsychological and imaging exams will be proposed once again after 18 months for all participants as well as after 36 months for elderly controls, NORMA and SCI & MCI patients.

To study and compare the effectiveness of different in vivo markers (to predict cognitive decline in populations at risk of developing AD), each data set (i.e. modality) will be first analyzed independently from one another (intra-modality analyses), including inter-group comparisons, correlations and connectivity analyses, as well as longitudinal assessment of cognitive, biological and brain changes. Baseline data will also be analyzed in function of patient's clinical evolution to assess their predictive value. Comparisons and correlations between the different patterns of alterations will then be performed through inter-modality analyses. More specifically, the investigators will address the questions of the relationships between cognitive and cerebral alterations and structural / functional brain changes over our different patient samples, neuroimaging data sets, and through disease evolution.

This project is expected to identify specific and early markers of the MA and also to compare the diagnostic efficiency of different measures. It should contribute to better understand brain and cognitive alterations in AD. Finally, the investigators will be able to appreciate the dynamic properties of these alterations in the evolution of the disease through the longitudinal study.

Details
Condition Alzheimer's Disease
Treatment Memory assessment, Circulating biomarkers measure, ApoE4, Brain imaging examination MRI and PET examinations
Clinical Study IdentifierNCT01638949
SponsorUniversity Hospital, Caen
Last Modified on8 November 2020

Eligibility

Yes No Not Sure

Inclusion Criteria

Is your age greater than or equal to 18 yrs?
Gender: Male or Female
Do you have Alzheimer's Disease?
Education level > 7 years
Native language: French
Medical, neurological, neuropsychological and neuroradiological depth in accordance with the criteria for inclusion and exclusion-specific population, that is to say
Healthy young volunteers: between 18 and 40 years old; normal performances compared to the age and the educational level for all tests of the diagnostic battery ( 1.65 SD)
Healthy Middle-aged volunteers: between 40 and 60 years old; without memory complaints, normal performances compared to the age and the educational level for all tests of the diagnostic battery ( 1.65 SD)
Healthy Elderly volunteers: over 60 years old, living at home, without memory complaints, normal performances compared to the age and the educational level for all tests of the diagnostic battery ( 1.65 SD)
SCI patients: over 60 years old ; memory complaints; memory complaint ; normal performances compared to the age and the educational level for all tests of the diagnostic battery ( 1.65 SD)
MCI patients: presenting the current criteria for amnestic MCI including: i) memory complaint, ii) deficits of the episodic memory (lower performance of at least 1.65 SD from the norm for age and cultural level for one or more scores of episodic memory and iii) normal performances compared to the age and the educational level of all other cognitive functions as memory, including tests to assess cognitive abilities
Alzheimer's patients: presenting the standard criteria of NINCDS-ADRDA probable Alzheimer's disease, including abnormal global cognitive function and deficits in at least two cognitive domains identified by the diagnostic battery and a mild to moderate Alzheimer's disease (MMSE 15)

Exclusion Criteria

The sudden onset of cognitive impairments (as opposed to their slow and gradual installation in Alzheimer's disease)
A chronic neurological, psychiatric, endocrine, hepatic or infectious complaint
A history of major disease (an uncontrolled diabetes, a lung, heart, metabolic, hematologic, endocrine disease or a severe cancer)
A medication that may interfere with memory or metabolic measures
A alcohol or drugs abuse
The cons-indications to MRI (claustrophobia, metallic object in the body)
A predominantly left-hand (score below 50% in Edinburgh Inventory)
Protected adults, and persons not affiliated with a social security system will not participate in this study
The inclusion of a participant in another biomedical research protocol
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