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Patients with Mild Cognitive Impairment (MCI) or Subjective Cognitive Decline (SCD) may or may not develop Alzheimer's disease (AD) dementia. Yet identifying patients at risk is crucial: delaying the onset of the disease by 5 years could reduce prevalence by 50%. To achieve this, we need affordable biomarkers combined with clinically meaningful assessment tools. Current approaches (cognition, imaging or Tau and Amyloid peptide assays) lack precision or specificity (e.g., age-related memory deficits) and involve invasive and costly procedures, sometimes inaccessible in France (e.g., the "AT(N)" framework). Recently, quantitative diffusion MRI (dMRI) has identified in-vivo gray matter microstructural changes linked to hyperphosphorylated Tau protein, which are of great diagnostic value. Still, we ignore whether and how these changes are responsible for early memory impairment in AD. The MIMA-P project will combine multi-compartment models of the high-resolution diffusion signal with a cognitive assessment of memory based on recent models of medial temporal lobe function to assess the relevance of a new affordable, rapid and non-invasive early marker of the disease.
The study will combine multi-compartment models (e.g. Archer et al., 2020; Parker et al., 2020) of high-resolution diffusion MRI within medial temporal lobes regions of interest defined through the ASHS algorithm (Yushkevich et al., 2015), with theoretically driven cognitive assessment medial temporal lobes functions. The '4 mountains test' and the 'Memory entities' test will allow specific probing of hippocampal and rhinal cortices functions, respectively (Hartley et al., 2007; Besson et al., 2020).
25 patients with 'subjective cognitive decline-plus' (hereafter 'SCD', criteria of Jessen et al., 2014) and 25 patients with mild neurocognitive impairment due to Alzheimer's disease (hereafter 'MCI', criteria of Albert et al., 2011) matched for gender, socio-professional category and level of education. The 25 healthy volunteers required have already been included in a different study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| SCD+ | Experimental | Patients with subjective cognitive decline-plus due to Alzheimer's disease (or "DCS" in french) |
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| MCI | Experimental | Patients with mild neurocognitive impairment due to Alzheimer's disease (or "TCL" in french) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| high-resolution diffusion MRI | Diagnostic Test | The study will combine multi-compartment models (e.g. Archer et al., 2020; Parker et al., 2020) of high-resolution diffusion MRI within medial temporal lobes regions of interest defined through the ASHS algorithm (Yushkevich et al., 2015), with theoretically driven cognitive assessment medial temporal lobes functions. The '4 mountains test' and the 'Memory entities' test will allow specific probing of hippocampal and rhinal cortices functions, respectively (Hartley et al., 2007; Besson et al., 2020). |
| Measure | Description | Time Frame |
|---|---|---|
| Diffusion-MRI based parameters estimates of medial temporal lobe gray matter microstructure | Free-water and free-water corrected Fractional anisotropy are two parameters that can be estimated through Multi-Compartment Modelling of the diffusion MRI signal within medial temporal lobes gray matter. We will compute these parameters for the hippocampus and the surroundings rhinal cortices. These measures will be compared between patients and healthy controls. | 2 hours and 30 minutes |
| Measure | Description | Time Frame |
|---|---|---|
| Diffusion-MRI based parameters estimates of medial temporal lobe gray matter microstructure | Free-water and free-water corrected Fractional anisotropy are two parameters that can be estimated through Multi-Compartment Modelling of the diffusion MRI signal within medial temporal lobes gray matter. We will compute these parameters for the hippocampus and the surroundings rhinal cortices. These measures will be compared across patients groups. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Pierre-Yves JONIN, PhD | Contact | 299284321 | +33 | pierreyves.jonin@chu-rennes.fr |
| Isabelle LEROYER | Contact | 299289747 | +33 | isabelle.leroyer@chu-rennes.fr |
| Name | Affiliation | Role |
|---|---|---|
| Pierre-Yves JONIN, PhD | Rennes University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU Rennes | Recruiting | Rennes | France |
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| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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Prospective single-center
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| 2 hours and 30 minutes |
| Relationships between medial temporal lobe gray matter microstructure and memory | Free-water and free-water corrected Fractional anisotropy are two parameters that can be estimated through Multi-Compartment Modelling of the diffusion MRI signal within medial temporal lobes gray matter. We will compute these parameters for the hippocampus and the surroundings rhinal cortices. Memory accuracy scores will be computed for the two memory tasks "The '4 mountains test' and the 'Memory entities' test" . Correlational analyses will be performed across groups between gray matter microstructure estimates and memory scores. | 2 hours and 30 minutes |
| D024801 |
| Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D003072 | Cognition Disorders |