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| ID | Type | Description | Link |
|---|---|---|---|
| UCLA IRB#16-000496 | Other Identifier | UCLA Institutional Research Board | |
| 1RF1AG050967-01A1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Aging (NIA) | NIH |
| University of Southern California | OTHER |
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This study attempts to identify two types of AD by using clinical and cognitive tasks and brain imaging. The subtypes of AD are separated into a "typical" group (memory loss) and a "variant" group (language, visuospatial, and other cognitive difficulties). Performance on the clinical tasks and brain imaging will be compared among the young-onset Alzheimer's disease group, a late-onset Alzheimer's disease group, and a control group.
Unlike the usual late-onset Alzheimer's disease (LOAD), early-onset AD (EOAD), with onset before age 65, includes a high percentage of phenotypic variants. These non-familial, variants (vEOAD) present, not with progressive memory loss, but with language, visuospatial, or other cognitive difficulties. AD is now understood as a disorder that manifests with disturbed cognition reflecting disturbed neural networks. A multivariate analysis of neuropsychological tests, the "gold standard" for objectively defining neurocognitive impairments, coupled with structural and functional neuroimaging analysis of connectomes, can identify the neurocognitive-neural network profiles of vEOAD patients, compared to those with typical AD. This knowledge can increase our understanding of the heterogeneity of AD and how it causes disease.
This study hopes to show that vEOAD constitutes a "Type 2 AD", by (1) defining the neuropsychological components of Type 2 AD, and (2) understanding the anatomy and atrophy of the brains of vEOAD patients. Together, these components can outline the neurocognitive-neural network profile of Type 2 AD.
In addition to information that can help in the diagnosis and management of EOAD, this study can stimulate novel research into the reasons for this neurobiological heterogeneity in AD and could potentially lead to interventions based on alternate neurocognitive-neural network profiles.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Early-onset Alzheimer's disease | This group will include 90 patients who have been diagnosed with clinically probable early-onset Alzheimer's disease by the UCLA Neurology Clinic (60 variant phenotypes; 30 typical amnestic). | ||
| Alzheimer's disease | This group will include 30 patients who have been diagnosed with clinically probable Alzheimer's disease (typical late-onset AD) | ||
| Controls | Healthy age-matched individuals without clinically significant cognitive impairments will be enrolled into this study. |
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| Measure | Description | Time Frame |
|---|---|---|
| Alzheimer's disease Subtype | Neuropsychological testing results for use in a two-stage multivariate diagnostic method that combines the (weighted) test results in order to best discriminate Type 2 AD and typical AD. | Performed at baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Change in overall Neurological profile | Change in performance on neurological tasks between baseline visit and follow-up visit. | Performed at baseline and 1-year follow-up visit |
| Brain atrophy in MRI - Magnetic Resonance Imaging of the brain |
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Inclusion criteria for patients with Alzheimer's disease (AD):
Exclusion criteria for patients with Alzheimer's disease (AD):
Inclusion criteria for control participants:
Exclusion criteria for control participants:
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Patients with a diagnosis of early-onset Alzheimer's disease (EOAD; with a diagnosis before age 65), including early-onset neurodegenerative conditions such as primary progressive aphasia (PPA), other aphasias (logopenic, semantic, and non-fluent), posterior cortical atrophy (PCA), ideomotor limb apraxias, and executive dysfunction.
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| Name | Affiliation | Role |
|---|---|---|
| Mario F Mendez, MD, PhD | University of California, Los Angeles | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCLA Department of Neurology | Los Angeles | California | 90095 | United States |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Dec 19, 2019 | Apr 25, 2020 |
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Images from initial MRI scan taken at baseline visit will be analyzed for atrophy and white matter tract integrity
| Performed at baseline visit |
| Change in overall Neuropsychological profile | Change in neuropsychological performance over time. | Performed at baseline and 1-year follow-up visit |
| ICF_000.pdf |
| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| D018888 | Aphasia, Primary Progressive |
| D000088282 | Corticobasal Degeneration |
| D020240 | Apraxia, Ideomotor |
| D007802 | Language |
| D001072 | Apraxias |
| D003704 | Dementia |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D001037 | Aphasia |
| D013064 | Speech Disorders |
| D007806 | Language Disorders |
| D003147 | Communication Disorders |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D011596 | Psychomotor Disorders |
| D003142 | Communication |
| D001519 | Behavior |
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