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The main aim of the study is to characterize and understand the pathological mechanisms underlying the motoric cognitive risk syndrome, which is a predictor of Alzheimer disease.
Alzheimer's disease (AD) is affecting more than 46.8 million people worldwide, making dementia one of the greatest public health challenges of the 21st century. The progression of AD is slow with a presymptomatic course over several years to decades, during which pathophysiological changes are underway, but the disease has not yet caused any noticeable symptoms to warrant a clinical diagnosis. A strong effort is ongoing to identify biomarkers preceding cognitive decline that can aid diagnosis and early intervention. Criteria for the motoric cognitive risk syndrome (MCR), including subjective cognitive decline (SCD) and slower preferred walking speed, but otherwise normal functioning, are powerful risk indicators of developing cognitive impairment and dementia. The presence of MCR is associated with a more than three-fold risk of developing dementia while the risk is only two-fold for SCD or slow gait alone. However, the pathophysiology of MCR is unknown and getting into the processes that cause such condition is needed to complement the MCR-based criteria and increase their predictive validity of cognitive decline and dementia. Impaired attentional control related to white matter alterations of presumed vascular origin may be responsible for the MCR phenotype. Individuals with SCD exhibit loss of white matter integrity in brain regions typically involved in attentional control, and abnormally slow gait has been linked to the disruption of white matter tracts associated with executive attention. Furthermore, a deeper understanding of MCR requires considering not only regional white matter changes but also the individuals' cognitive capacity to cope with brain damages, namely the cognitive reserve. Hence, the PRESAGE project intends to evaluate the interplay of white matter integrity and cognitive reserve on attentional control in MCR and non-MCR individuals aged 60 or older. Attentional control will be explored at both the behavioral and brain levels using dual-task challenges where individuals will have to divide attention between a cognitive (stroop) task and a motor task (walking). The working hypothesis is that the dual-task cost - a proxy of attentional control - is predictive of white matter abnormalities which, when adjusted for cognitive reserve, age and sex, should discriminate between MCR and non-MCR individuals. The project also includes a prospective, longitudinal study (two-year follow-up) whose purpose is to determine whether this marker, alone or in combination with other potentially relevant markers (i.e., neuropsychological, functional and chronobiological), have predictive value for conversion from MCR to mild cognitive impairment and dementia. Findings will increase knowledge about the pathophysiology of MCR and will contribute to improve MCR criteria and early identification of at-risk individuals.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Control group composed of 80 healthy aged volunteers. |
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| Motoric Cognitive Syndrom | MCR group composed of 80 MCR participants. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI evaluation | Procedure | Multimodal MRI evaluation :
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| Measure | Description | Time Frame |
|---|---|---|
| Prediction accuracy to detect MCR participants will be computed using Machine learning | Several machine learning algorithms will be used to tell apart healthy from MCR participants. These classification procedures will bring several metrics including prediction accuracy, sensitivity and specificity scores. | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| MRI - Brain volumes | Grey and white matter atrophy, grey matter structural covariation and white matter hyperintensity will be assessed. | Baseline |
| MRI - Connectivity | Brain connectivity (covariation patterns) in each group will be computed. |
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Inclusion criteria:
Inclusion criteria (MCR group specific)
Inclusion criteria (Controls group specific)
- Subnormal cognitive function as assessed by the Montreal Cognitive Assessment (MoCA) test with score > 23
Exclusion criteria:
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Controls : health volunteers without any reduced gait speed or cognitive complaint MCR : reduced gait speed, cognitive complaint Both : normal cognitive function
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Leslie M. Decker, PhD | Contact | 06.70.40.58.44 | +33 | leslie.decker@unicaen.fr |
| Name | Affiliation | Role |
|---|---|---|
| Pierre Denise, MD, PhD | CHU de Caen Normandie | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU de Caen Normandie | Recruiting | Caen | 14000 | France |
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| ID | Term |
|---|---|
| D060825 | Cognitive Dysfunction |
| D000544 | Alzheimer Disease |
| D003704 | Dementia |
| ID | Term |
|---|---|
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D001927 | Brain Diseases |
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| ID | Term |
|---|---|
| C015410 | 24,25-oxidolanosterol |
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| Actimetry & IMU | Behavioral | Evaluation of daily activities and life rythms (physical activity, inactivity, sleep) using actimeters (Motion 8), inertial sensors (GaitUP) and questionaires during 14 days :
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| Gait evaluation | Behavioral | Evaluation of gait characteristics (spatio-temporal parameters & non-linear characteristics) in virtual environment :
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| Neuropsychological evaluation | Behavioral | Complete neuropsychological examination including attentional and executive functions, learning and retrieval abilities in episodic memory and general cognitive skills :
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| Baseline |
| Gait - Dual task cost | Difference in spatio-temporal and non-linear gait parameters bewteen simple and dual task / between groups | Baseline |
| Gait - Sensorimotor adaptation and savings | Difference in terms of sensorimotor adaptation on split-belt treadmill bewteen groups | Baseline |
| D002493 |
| Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |