Alzheimer Disease
Conditions
Brief summary
The overarching goal of this project is to use \[C-11\]UCB-J to obtain spatial information on neuronal synapse abundance and inform Alzheimer's disease (AD) progression. The investigators propose to collect longitudinal amyloid, tau, and Synaptic vesicle glycoprotein 2A (SV2A) positron emission tomography (PET) in participants in the Wisconsin Alzheimer's Disease Research Center (ADRC) and Wisconsin Registry for Alzheimer's Prevention (WRAP) across the clinical stages of AD, including cognitively unimpaired biomarker negative, unimpaired biomarker positive, mild cognitive impairment (MCI), and dementia due to AD.
Detailed description
Synaptic loss is a major feature of symptomatic AD. Conversely, abundance of synapses may confer resilience to cognitive decline in the presence of AD pathology. The pathology-defining features of AD are amyloid plaques and neurofibrillary tangles and their presence and distribution can be spatially estimated in-vivo with amyloid and tau PET. Although these biomarkers can inform on the degree and location of pathology, they do not provide an indicator of their effect on collocated or extended in-network neural damage including synaptic density. SV2A is expressed ubiquitously in synapses and the capability of assessing SV2A in vivo may provide a direct indicator of synaptic health. Such information would be of high importance for staging the level of synaptic loss or conversely synaptic abundance in the AD continuum and may potentially improve prognostic precision. The PET radioligand \[C-11\]UCB-J is a marker of SV2A. The overarching goal of this project is to use \[C-11\]UCB-J to obtain spatial information on neuronal synapse abundance and inform upon disease progression. The investigators propose to collect longitudinal amyloid, tau, and SV2A PET in participants in the Wisconsin ADRC and WRAP across the clinical stages of AD, including cognitively unimpaired biomarker negative, unimpaired biomarker positive, MCI, and dementia due to AD. * Specific Aim 1). Determine the extent to which \[C-11\]UCB-J provides unique information from MRI regarding neurodegeneration. Approach: The investigators will recruit N=60 cognitively unimpaired participants, N=30 MCI participants, and N=30 participants with AD dementia to undergo PET imaging with \[C-11\]UCB-J. MRI will include anatomic and diffusion connectivity MRI. When available, ancillary cerebrospinal fluid (CSF) indicators of neurodegeneration and synapse function will be examined for relationships with UCB-J. * Specific Aim 2). Determine the rate of synapse loss as reflected by \[C-11\]UCB-J signal across all participants. Rationale: Trajectories of synaptic loss are unknown in vivo. Approach: The investigators will determine the longitudinal trajectories of regional synapse loss that are observed over time among participants who undergo repeat \[C-11\]UCB-J (separated by two years, same participants scanned for Aim 1). The investigators will also examine trajectories by amyloid and tau load. Quantifying longitudinal synaptic loss is expected to eventually facilitate the identification of individuals who are progressing to dementia, as well as inform upon changes that are normal for age. * Specific Aim 3). Determine the extent to which \[C-11\]UCB-J associates with cognitive decline. Rationale: The investigators expect that lower baseline SV2A density and longitudinal decline in SV2A density in the medial temporal lobe will be associated with faster progression of cognitive decline. The investigators will also test the extent to which harboring multiple pathologies (↑amyloid, ↑tau, and ↓SV2A density) contributes to cognitive decline. Approach: The investigators will examine core indices of cognitive status and continuous measures of cognitive function from the source cohorts and utilize mixed effects models to ascertain the effect of UCB-J amyloid and tau on cognition. * Specific Aim 4). Determine factors which impact synapse loss. Rationale: Several risk factors for cognitive decline and dementia have been identified including potentially modifiable factors such as insulin resistance and vascular risk factors. Approach: The investigators will determine cross-sectional and longitudinal trajectories of regional synapse loss in relation to risk factors for cognitive decline and dementia. In order to determine insulin resistance, the investigators will perform blood draw and assess fasting glucose and insulin values to determine the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR). The impact of potentially modifiable risk factors on synapse loss in vivo is currently unknown. This aim will address this gap in knowledge, results which may translate to strategies for reducing dementia risk.
Interventions
DRUGUCB-J
PET imaging with UCB-J
DEVICEMRI Scan
MRI exams will be performed using a 3T MRI scanner, scan duration is typically 60 minutes
DEVICEPET Scan
PET imaging may be collected using either a PET scanner or a PET/Computed Tomography (CT) scanner, a PET scan will be initiated with the injection of radiotracer
Sponsors
University of Wisconsin, Madison
National Institute on Aging (NIA)
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
55 Years to 89 Years
Healthy volunteers
Yes
Inclusion criteria
* Cognitively unimpaired adults- * Aged 55 - 89 * Normal cognition (results of most recent testing with the source cohort indicate the participant is cognitively unimpaired as judged by consensus or expert review) * In good general health with no conditions/medications affecting cognition or imaging * Willing to undergo \[C-11\]UCB-J, \[C-11\]PiB, and \[F-18\]MK6240 PET scans * An adequate MRI exam within 12 months prior to baseline. An MRI will be performed if not already available. * Mild dementia and amnestic Mild Cognitive Impairment- * Aged 50 years or older * Abnormal cognitive status of MCI or dementia as judged by consensus or expert review using NIA-AA 2018 criteria * MCI's must be affected in the memory domain but may also have other affected domains * Willing to undergo \[C-11\]UCB-J, \[C-11\]PiB, and \[F-18\]MK6240 PET scans * An adequate MRI exam within 12 months prior to baseline. This MRI exam will come from ADRC/WRAP studies. Clinical MRI's (ones obtained outside of the research program) will not be adequate. An MRI will be performed if not already available from within the research program.
Exclusion criteria
* For women, pregnant, lactating or breastfeeding, or intention to become pregnant * Evidence of unstable or untreated clinically significant gastrointestinal, cardiovascular, hepatic, renal, hematological, neoplastic, endocrine, alternative neurological, immunodeficiency, pulmonary, or other disorder or disease. * Stable, treated chronic medical conditions like hypertension, hypercholesterolemia, diabetes mellitus, non-metastatic dermatologic or prostatic cancer, etc. are acceptable as long as they do not, in the study investigator's opinion, contribute to cognitive dysfunction or limit participation in study procedures. * Any illness or other consideration that makes it unlikely that the subject will be able to complete the 24-month study. * Current or prior history (within past 5 years) of significant alcohol or substance abuse as determined by the investigator. * Psychiatric disorders that may interfere with the study including current major Axis I DSM-V disorders including but not limited to severe Major depression, current or history of bipolar I disorder, or schizophrenia. * Current use of the anti-seizure medication Levetiracetam, also known as Keppra, Spritam or Roweepra * MRI
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| ROC AUCs (MCI/AD vs Cognitively Unimpaired (CU)) for Medial Temporal Lobe (MTL) UCB-J Distribution Volume Ratio (DVR) and Hippocampal Volume | Baseline | DeLong's method will test whether the MTL UCB-J receiver-operator characteristic (ROC) area under the curve (AUC) has better mild cognitive impairment/probable AD dementia (MCI/AD) prediction accuracy than the hippocampal volume ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, hippocampal volume. |
| ROC AUCs (MCI/AD vs CU) for MTL UCB-J and Hippocampal Cingulum Neurite Density Index | Baseline | DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the hippocampal cingulum neurite density index ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, hippocampal cingulum neurite density index. |
| Annual Rate of Change in UCB-J DVR | Baseline and 2 years | Linear mixed effects regression will model UCB-J distribution volume ratio (DVR) as a function of time since baseline. 11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density. Participants' synaptic density was examined as a change per year. A positive number would mean an increase in synaptic density, a negative number means a decrease. |
| Baseline Diagnosis Group Differences in Annual Rate of Change in UCB-J DVR | baseline and 2 years | Baseline diagnosis (CU vs MCI/probable AD dementia) group differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Participants' synaptic density was examined as a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that impaired participants decreased in synaptic density more quickly and a positive number would mean that the impaired participants decreased less quickly. |
| Amyloid Positivity Status Differences in Annual Rate of Change in UCB-J DVR | baseline and 2 years | Amyloid positivity status differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Amyloid positivity status will be determined from amyloid PET. Participants' synaptic density was examined in a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that amyloid positive participants decreased in synaptic density more quickly and a positive number would mean that the amyloid positive participants decreased less quickly. |
| Tau Positivity Status Differences in Annual Rate of Change in UCB-J DVR | baseline and 2 years | Tau positivity status differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Tau positivity status will be determined from tau PET. Participants' synaptic density was examined as a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that tau positive participants decreased in synaptic density more quickly and a positive number would mean that the tau positive participants decreased less quickly. |
| MTL UCB-J DVR Baseline Differences in a Cognitive Performance Age Slope in Non-demented Participants | baseline and 2 years | Linear mixed effects will be used to model cognitively unimpaired participants' memory performance as a function of their age and synaptic density. Specifically, investigators will test whether those with higher synaptic density had less deterioration over time. Memory performance will be assessed using Rey Auditory Verbal Learning Test Delayed Recall. An interaction was tested, and a negative number means that those with higher synaptic density decreased faster over time, and a positive number means that they decreased slower over time. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Difference Between ROC AUCs (MCI/AD vs CU) for Medial Temporal Lobe (MTL) UCB-J Distribution Volume Ratio (DVR) and Cerebrospinal Fluid (CSF) Neurofilament Light Chain Protein (NfL) | baseline | DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the cerebrospinal fluid (CSF) neurofilament light chain protein (NfL) ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, CSF NfL. |
| Difference Between ROC AUCs (MCI/AD vs CU) for MTL UCB-J DVR and Cerebrospinal Fluid (CSF) Total-tau (T-tau) | baseline | DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the cerebrospinal fluid (CSF) T-tau ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, CSF T-tau. |
| Difference Between ROC AUCs (MCI/AD vs CU) for MTL UCB-J and CSF Neurogranin | baseline | DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the cerebrospinal fluid (CSF) neurogranin ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, CSF neurogranin. |
| Sex Differences in Annual Rate of Change in UCB-J DVR | baseline and 2 years | Sex differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Sex determined from self report. Participants' synaptic density was examined in a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that male participants decreased in synaptic density more quickly and a positive number would mean that the male participants decreased less quickly. |
| Age Differences in Annual Rate of Change in UCB-J DVR | baseline and 2 years | Linear mixed effects will be used to model all participants' UCB-J DVR trajectories as a function of their baseline age. Specifically, investigators will test whether those who were older at baseline had more deterioration over time. An interaction was tested, and a negative number means that those who were older at baseline decreased faster over time, and a positive number means that they decreased slower over time. |
| APOE4 Allele Status Differences in Annual Rate of Change in UCB-J DVR | baseline and 2 years | APOE4 allele status differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. APOE4 allele status determined from genetic testing. Participants' synaptic density was examined in a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that APOE4 positive participants decreased in synaptic density more quickly and a positive number would mean that the APOE4 positive participants decreased less quickly. |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORBarbara Bendlin, PhD
University of Wisconsin, Madison
Participant flow
Recruitment details
The intent of the study was observational, to characterize synaptic density across disease stages, the groups shown in the Baseline Characteristic Section are non-randomized subgroups within a single study arm.
Participants by arm
| Arm | Count |
|---|---|
| Cognitively Unimpaired Results of most recent testing with the source cohort indicate the participant is cognitively unimpaired as judged by consensus or expert review. | 65 |
| Cognitively Impaired Abnormal cognitive status of MCI and Dementia as judged by consensus or expert review using National Institute of Aging and Alzheimer's Association (NIA-AA) 2018 criteria. | 35 |
| Total | 100 |
Baseline characteristics
| Characteristic | Cognitively Unimpaired | Cognitively Impaired | Total |
|---|---|---|---|
| Age, Continuous | 68.9 years | 75.2 years | 71.1 years |
| Cognitive Impairment Mild Cognitive Impairment | 0 Participants | 22 Participants | 22 Participants |
| Cognitive Impairment Mild Dementia | 0 Participants | 13 Participants | 13 Participants |
| Ethnicity (NIH/OMB) Hispanic or Latino | 0 Participants | 0 Participants | 0 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 65 Participants | 35 Participants | 100 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 4 Participants | 1 Participants | 5 Participants |
| Race (NIH/OMB) Asian | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Black or African American | 7 Participants | 3 Participants | 10 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 54 Participants | 31 Participants | 85 Participants |
| Region of Enrollment United States | 65 participants | 35 participants | 100 participants |
| Sex: Female, Male Female | 45 Participants | 11 Participants | 56 Participants |
| Sex: Female, Male Male | 20 Participants | 24 Participants | 44 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 65 | 3 / 35 |
| other Total, other adverse events | 21 / 65 | 5 / 35 |
| serious Total, serious adverse events | 0 / 65 | 0 / 35 |
Outcome results
Primary
Amyloid Positivity Status Differences in Annual Rate of Change in UCB-J DVR
Amyloid positivity status differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Amyloid positivity status will be determined from amyloid PET. Participants' synaptic density was examined in a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that amyloid positive participants decreased in synaptic density more quickly and a positive number would mean that the amyloid positive participants decreased less quickly.
Time frame: baseline and 2 years
Population: 90 people contributed to the overall model, 24 participants contributed to the time estimate; 3 Amyloid positive, 21 Amyloid negative, centiloid values for amyloid scans unavailable for 10 participants (unable to process)
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | Amyloid Positivity Status Differences in Annual Rate of Change in UCB-J DVR | -.02 distribution volume ratio per year |
| Hippocampal Volume | Amyloid Positivity Status Differences in Annual Rate of Change in UCB-J DVR | -.01 distribution volume ratio per year |
Primary
Annual Rate of Change in UCB-J DVR
Linear mixed effects regression will model UCB-J distribution volume ratio (DVR) as a function of time since baseline. 11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density. Participants' synaptic density was examined as a change per year. A positive number would mean an increase in synaptic density, a negative number means a decrease.
Time frame: Baseline and 2 years
Population: N = 25 contributing to the time estimate
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | Annual Rate of Change in UCB-J DVR | -.01 distribution volume ratio per year |
p-value: 0.135Mixed Models Analysis
Primary
Baseline Diagnosis Group Differences in Annual Rate of Change in UCB-J DVR
Baseline diagnosis (CU vs MCI/probable AD dementia) group differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Participants' synaptic density was examined as a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that impaired participants decreased in synaptic density more quickly and a positive number would mean that the impaired participants decreased less quickly.
Time frame: baseline and 2 years
Population: While 100 participants were enrolled in the study and entered into the model, 25 participants were measured at follow up and contributed to the time estimate; among those 25, 7 cognitively impaired and 18 unimpaired.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | Baseline Diagnosis Group Differences in Annual Rate of Change in UCB-J DVR | 0 distribution volume ratio per year |
| Hippocampal Volume | Baseline Diagnosis Group Differences in Annual Rate of Change in UCB-J DVR | -.02 distribution volume ratio per year |
Primary
MTL UCB-J DVR Baseline Differences in a Cognitive Performance Age Slope in Non-demented Participants
Linear mixed effects will be used to model cognitively unimpaired participants' memory performance as a function of their age and synaptic density. Specifically, investigators will test whether those with higher synaptic density had less deterioration over time. Memory performance will be assessed using Rey Auditory Verbal Learning Test Delayed Recall. An interaction was tested, and a negative number means that those with higher synaptic density decreased faster over time, and a positive number means that they decreased slower over time.
Time frame: baseline and 2 years
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | MTL UCB-J DVR Baseline Differences in a Cognitive Performance Age Slope in Non-demented Participants | -.05 diff in rate of change AVLT per year |
p-value: 0.39Mixed Models Analysis
Primary
ROC AUCs (MCI/AD vs Cognitively Unimpaired (CU)) for Medial Temporal Lobe (MTL) UCB-J Distribution Volume Ratio (DVR) and Hippocampal Volume
DeLong's method will test whether the MTL UCB-J receiver-operator characteristic (ROC) area under the curve (AUC) has better mild cognitive impairment/probable AD dementia (MCI/AD) prediction accuracy than the hippocampal volume ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, hippocampal volume.
Time frame: Baseline
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | ROC AUCs (MCI/AD vs Cognitively Unimpaired (CU)) for Medial Temporal Lobe (MTL) UCB-J Distribution Volume Ratio (DVR) and Hippocampal Volume | 0.79 probability |
| Hippocampal Volume | ROC AUCs (MCI/AD vs Cognitively Unimpaired (CU)) for Medial Temporal Lobe (MTL) UCB-J Distribution Volume Ratio (DVR) and Hippocampal Volume | 0.81 probability |
p-value: 0.74DeLong's Test
Primary
ROC AUCs (MCI/AD vs CU) for MTL UCB-J and Hippocampal Cingulum Neurite Density Index
DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the hippocampal cingulum neurite density index ROC AUC. ROC AUC is a measure of the correctness of group (where group is MCI/AD and cognitively unimpaired) classification using a continuous predictor, in this case, the medial temporal lobe UCB-J uptake (11C-UCB-J is a PET tracer for imaging the synaptic vesicle glycoprotein 2A in the human brain. It is considered a measure of synaptic density). This ROC AUC was compared to that of the comparator continuous predictor, hippocampal cingulum neurite density index.
Time frame: Baseline
Population: Usable data on 79 participants (due to processing)
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | ROC AUCs (MCI/AD vs CU) for MTL UCB-J and Hippocampal Cingulum Neurite Density Index | 0.82 probability |
| Hippocampal Volume | ROC AUCs (MCI/AD vs CU) for MTL UCB-J and Hippocampal Cingulum Neurite Density Index | 0.79 probability |
p-value: 0.66DeLong's Test
Primary
Tau Positivity Status Differences in Annual Rate of Change in UCB-J DVR
Tau positivity status differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model. Tau positivity status will be determined from tau PET. Participants' synaptic density was examined as a change per year. The difference in the rate of change in the two groups was estimated. A negative number means that tau positive participants decreased in synaptic density more quickly and a positive number would mean that the tau positive participants decreased less quickly.
Time frame: baseline and 2 years
Population: While 94 participants were included in the model, 24 participants contributed to the time estimate; 1 Tau positive, 23 Tau negative, tau status unavailable for 6 participants, no data available for Tau scan.
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Medial Temporal Lobe UCB-J | Tau Positivity Status Differences in Annual Rate of Change in UCB-J DVR | -.02 distribution volume ratio per year |
| Hippocampal Volume | Tau Positivity Status Differences in Annual Rate of Change in UCB-J DVR | -.01 distribution volume ratio per year |
Secondary
Age Differences in Annual Rate of Change in UCB-J DVR
Age differences in rate of UCB-J DVR change will be estimated in a linear mixed effects model.
Time frame: baseline and 2 years
Secondary
APOE4 Allele Status Differences in Annual Rate of Change in UCB-J DVR
APOE4 allele status differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model.
Time frame: baseline and 2 years
Secondary
Difference Between ROC AUCs (MCI/AD vs CU) for Medial Temporal Lobe (MTL) UCB-J Distribution Volume Ratio (DVR) and Cerebrospinal Fluid (CSF) Neurofilament Light Chain Protein (NfL)
DeLong's method will test whether the MTL UCB-J ROC AUC has better mild cognitive impairment/probable AD dementia (MCI/AD) prediction accuracy than the CSF NfL ROC AUC.
Time frame: baseline
Secondary
Difference Between ROC AUCs (MCI/AD vs CU) for MTL UCB-J and CSF Neurogranin
DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the CSF neurogranin ROC AUC.
Time frame: baseline
Secondary
Difference Between ROC AUCs (MCI/AD vs CU) for MTL UCB-J DVR and Cerebrospinal Fluid (CSF) T-tau
DeLong's method will test whether the MTL UCB-J ROC AUC has better MCI/AD prediction accuracy than the CSF T-tau ROC AUC.
Time frame: baseline
Secondary
Sex Differences in Annual Rate of Change in UCB-J DVR
Sex differences in rate of UCB-J DVR change will be estimated via group x time interaction term in a linear mixed effects model.
Time frame: baseline and 2 years