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Murray ME, Moloney CM, Kouri N, Syrjanen JA, Matchett BJ, Rothberg DM, Tranovich JF, Sirmans TNH, Wiste HJ, Boon BDC, Nguyen AT, Reichard RR, Dickson DW, Lowe VJ, Dage JL, Petersen RC, Jack CR, Knopman DS, Vemuri P, Graff-Radford J, Mielke MM. Global neuropathologic severity of Alzheimer's disease and locus coeruleus vulnerability influences plasma phosphorylated tau levels. Mol Neurodegener 2022; 17:85. [PMID: 36575455 PMCID: PMC9795667 DOI: 10.1186/s13024-022-00578-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 10/26/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Advances in ultrasensitive detection of phosphorylated tau (p-tau) in plasma has enabled the use of blood tests to measure Alzheimer's disease (AD) biomarker changes. Examination of postmortem brains of participants with antemortem plasma p-tau levels remains critical to understanding comorbid and AD-specific contribution to these biomarker changes. METHODS We analyzed 35 population-based Mayo Clinic Study of Aging participants with plasma p-tau at threonine 181 and threonine 217 (p-tau181, p-tau217) available within 3 years of death. Autopsied participants included cognitively unimpaired, mild cognitive impairment, AD dementia, and non-AD neurodegenerative disorders. Global neuropathologic scales of tau, amyloid-β, TDP-43, and cerebrovascular disease were examined. Regional digital pathology measures of tau (phosphorylated threonine 181 and 217 [pT181, pT217]) and amyloid-β (6F/3D) were quantified in hippocampus and parietal cortex. Neurotransmitter hubs reported to influence development of tangles (nucleus basalis of Meynert) and amyloid-β plaques (locus coeruleus) were evaluated. RESULTS The strongest regional associations were with parietal cortex for tau burden (p-tau181 R = 0.55, p = 0.003; p-tau217 R = 0.66, p < 0.001) and amyloid-β burden (p-tau181 R = 0.59, p < 0.001; p-tau217 R = 0.71, p < 0.001). Linear regression analysis of global neuropathologic scales explained 31% of variability in plasma p-tau181 (Adj. R2 = 0.31) and 59% in plasma p-tau217 (Adj. R2 = 0.59). Neither TDP-43 nor cerebrovascular disease global scales independently contributed to variability. Global scales of tau pathology (β-coefficient = 0.060, p = 0.016) and amyloid-β pathology (β-coefficient = 0.080, p < 0.001) independently predicted plasma p-tau217 when modeled together with co-pathologies, but only amyloid-β (β-coefficient = 0.33, p = 0.021) significantly predicted plasma p-tau181. While nucleus basalis of Meynert neuron count/mm2 was not associated with plasma p-tau levels, a lower locus coeruleus neuron count/mm2 was associated with higher plasma p-tau181 (R = -0.50, p = 0.007) and higher plasma p-tau217 (R = -0.55, p = 0.002). Cognitive scores (Adj. R2 = 0.25-0.32) were predicted by the global tau scale, but not by the global amyloid-β scale or plasma p-tau when modeled simultaneously. CONCLUSIONS Higher soluble plasma p-tau levels may be the result of an intersection between insoluble deposits of amyloid-β and tau accumulation in brain, and may be associated with locus coeruleus degeneration.
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Krell-Roesch J, Syrjanen JA, Bezold J, Trautwein S, Barisch-Fritz B, Kremers WK, Fields JA, Scharf EL, Knopman DS, Stokin GB, Petersen RC, Jekauc D, Woll A, Vassilaki M, Geda YE. Mid- and Late-Life Physical Activity and Neuropsychiatric Symptoms in Dementia-Free Older Adults: Mayo Clinic Study of Aging. J Neuropsychiatry Clin Neurosci 2022; 35:133-140. [PMID: 36464975 DOI: 10.1176/appi.neuropsych.20220068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This study examined associations between physical activity (PA) and neuropsychiatric symptoms (NPS) in older adults free of dementia. METHODS This cross-sectional study included 3,222 individuals ≥70 years of age (1,655 men; mean±SD age=79.2±5.6; cognitively unimpaired, N=2,723; mild cognitive impairment, N=499) from the population-based Mayo Clinic Study of Aging. PA (taken as a presumed predictor) in midlife (i.e., when participants were 50-65 years of age) and late life (i.e., the year prior to assessment) was assessed with a self-reported, validated questionnaire; PA intensity and frequency were used to calculate composite scores. NPS (taken as presumed outcomes) were assessed with the Neuropsychiatric Inventory Questionnaire, Beck Depression Inventory (BDI-II), and Beck Anxiety Inventory (BAI). Regression analyses included midlife and late-life PA in each model, which were adjusted for age, sex, education, apolipoprotein E ɛ4 status, and medical comorbidity. RESULTS Higher late-life PA was associated with lower odds of having apathy (OR=0.89, 95% CI=0.84-0.93), appetite changes (OR=0.92, 95% CI=0.87-0.98), nighttime disturbances (OR=0.95, 95% CI=0.91-0.99), depression (OR=0.94, 95% CI=0.90-0.97), irritability (OR=0.93, 95% CI=0.89-0.97), clinical depression (OR=0.92, 95% CI=0.88-0.97), and clinical anxiety (OR=0.90, 95% CI=0.86-0.94), as well as lower BDI-II (β estimate=-0.042, 95% CI=-0.051 to -0.033) and BAI (β estimate=-0.030, 95% CI=-0.040 to -0.021) scores. Higher midlife PA was associated only with higher BDI-II scores (β estimate=0.011, 95% CI=0.004 to 0.019). Sex modified the associations between PA and NPS. CONCLUSIONS Late-life PA was associated with a lower likelihood of clinical depression or anxiety and subclinical NPS. These findings need to be confirmed in a cohort study.
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Stricker NH, Twohy EL, Albertson SM, Christianson TJ, Stricker JL, Machulda MM, Karstens AJ, Patel JS, Kremers WK, Hassenstab JJ, Jack CR, Knopman DS, Mielke MM, Petersen RC. Diagnostic accuracy of the Stricker Learning Span and Mayo Test Drive Composite for amnestic Mild Cognitive Impairment. Alzheimers Dement 2022. [DOI: 10.1002/alz.063190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Nguyen AT, Kouri N, Labuzan SA, Przybelski SA, Lesnick TG, Raghavan S, Reid RI, Reichard RR, Knopman DS, Petersen RC, Jack CR, Mielke MM, Dickson DW, Graff-Radford J, Murray ME, Vemuri P. Neuropathologic scales of cerebrovascular disease associated with diffusion changes on MRI. Acta Neuropathol 2022; 144:1117-1125. [PMID: 35841412 PMCID: PMC9637622 DOI: 10.1007/s00401-022-02465-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 01/26/2023]
Abstract
Summarizing the multiplicity and heterogeneity of cerebrovascular disease (CVD) features into a single measure has been difficult in both neuropathology and imaging studies. The objective of this work was to evaluate the association between neuroimaging surrogates of CVD and two available neuropathologic CVD scales in those with both antemortem imaging CVD measures and postmortem CVD evaluation. Individuals in the Mayo Clinic Study of Aging with MRI scans within 5 years of death (N = 51) were included. Antemortem CVD measures were computed from diffusion MRI (dMRI), FLAIR, and T2* GRE imaging modalities and compared with postmortem neuropathologic findings using Kalaria and Strozyk Scales. Of all the neuroimaging measures, both regional and global dMRI measures were associated with Kalaria and Strozyk Scales (p < 0.05) and modestly correlated with global cognitive performance. The major conclusions from this study were: (i) microstructural white matter injury measurements using dMRI may be meaningful surrogates of neuropathologic CVD scales, because they aid in capturing diffuse (and early) changes to white matter and secondary neurodegeneration due to lesions; (ii) vacuolation in the corpus callosum may be associated with white matter changes measured on antemortem dMRI imaging; (iii) Alzheimer's disease neuropathologic change did not associate with neuropathologic CVD scales; and (iv) future work should be focused on developing better quantitative measures utilizing dMRI to optimally assess CVD-related neuropathologic changes.
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Ashford MT, Raman R, Miller G, Donohue MC, Okonkwo OC, Mindt MR, Nosheny RL, Coker GA, Petersen RC, Aisen PS, Weiner MW. Screening and enrollment of underrepresented ethnocultural and educational populations in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimers Dement 2022; 18:2603-2613. [PMID: 35213778 PMCID: PMC9402812 DOI: 10.1002/alz.12640] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION An analysis of the ethnocultural and socioeconomic composition of Alzheimer's Disease Neuroimaging Initiative (ADNI) participants is needed to assess the generalizability of ADNI data to diverse populations. METHODS ADNI data collected between October 2004 and November 2020 were used to determine ethnocultural and educational composition of the sample and differences in the following metrics: screening, screen fails, enrollment, biomarkers. RESULTS Of 3739 screened individuals, 11% identified as being from ethnoculturally underrepresented populations (e.g., Black, Latinx) and 16% had <12 years of education. Of 2286 enrolled participants, 11% identified as ethnoculturally underrepresented individuals and 15% had <12 years of education. This participation is considerably lower than US Census data for adults 60+ (ethnoculturally underrepresented populations: 25%; <12 years of education: 4%). Individuals with <12 years of education failed screening at a higher rate. DISCUSSION Our findings suggest that ADNI results may not be entirely generalizable to ethnoculturally diverse and low education populations.
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İş Ö, Wang X, Reddy JS, Patel T, Min Y, Quicksall Z, Heckman MG, White L, Kouri N, Deniz K, Tutor‐New FQ, Carnwath T, Oatman SR, Carrasquillo MM, Nguyen T, Petersen RC, Kantarci K, Nho K, Saykin AJ, Dickson DW, Murray ME, Allen M, Ertekin‐Taner N. Single Cell Approaches Reveal Perturbed Brain Vascular Molecules in Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Tian J, Reid RI, Przybelski SA, Raghavan S, Gebre RK, Graff‐Radford J, Lowe VJ, Kantarci K, Knopman DS, Petersen RC, Jack CR, Vemuri P. White Matter Degeneration Pathways Associated with Tau Deposition in Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.062596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Nosheny RL, Jin C, Knight KN, Banh T, Howell T, Truran‐Sacrey D, Fockler J, Bui CL, Gummadi SL, Santhakumar J, Ashford MT, Camacho MR, Flenniken D, Roberson ED, Morris JC, Moulder KL, Li Y, Petersen RC, Stricker NH, Rabinovici GD, Carrillo MC, Neuhaus J, Mackin RS, Weiner MW. Contributions of remote, unsupervised dyadic subjective measures to identify older adults with Mild Cognitive Impairment. Alzheimers Dement 2022. [DOI: 10.1002/alz.061353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Cogswell PM, Lundt ES, Therneau TM, Wiste HJ, Graff‐Radford J, Schwarz CG, Senjem ML, Gunter JL, Vemuri P, Petersen RC, Jack CR. Temporal Association of Imaging Biomarkers of Cerebrovascular Disease and Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Krell‐Roesch J, Syrjanen JA, Bezold J, Barisch‐Fritz B, Trautwein S, Woll A, Stokin GB, Vemuri P, Eugene SL, Fields JA, Kremers WK, Lowe VJ, Jack CR, Knopman DS, Petersen RC, Vassilaki M, Geda YE. A longitudinal investigation of physical and cognitive activities and the outcome of trajectories of AD neuroimaging biomarkers: The Mayo Clinic Study of Aging. Alzheimers Dement 2022. [DOI: 10.1002/alz.063663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Gunter JL, Cogswell PM, Senjem ML, Kantarci K, Knopman DS, Petersen RC, Graff‐Radford NR, Radford JG, Jack CR. Harmonizing machine learning imaging biomarkers – CDESH and the case for harmonization in both MR image and low‐dimensional (scalar) output space. Alzheimers Dement 2022. [DOI: 10.1002/alz.064607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Gunter JL, Cogswell PM, Senjem ML, Kantarci K, Knopman DS, Petersen RC, Graff‐Radford NR, Graff‐Radford J, Jack CR. Harmonizing machine learning imaging biomarkers – CDESH and the case for harmonization in both MR image and low‐dimensional (scalar) output space. Alzheimers Dement 2022. [DOI: 10.1002/alz.067965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Boeve BF, Miyagawa T, Przybelski SA, Min PH, Jordan L, Lesnick T, Savica R, Graff‐Radford J, Jones DT, Botha H, Ramanan VK, Knopman DS, Petersen RC, Graff‐Radford NR, Day GS, Fields JA, Machulda MM, Ferman TJ, Forsberg LK, Diaz‐Galvan P, Li W, Christine CBJ, Jack CR, Jain MK, Kantarci K, Lowe VJ. Baseline and Longitudinal Ioflupane SPECT Findings in DLB and MCI‐LB. Alzheimers Dement 2022. [DOI: 10.1002/alz.067066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Schwarz CG, Kremers WK, Lowe VJ, Savvides M, Gunter JL, Senjem ML, Vemuri P, Kantarci K, Knopman DS, Petersen RC, Jack CR. Potential for Re‐Identifying Brain PET Research Participants using Face Recognition. Alzheimers Dement 2022. [DOI: 10.1002/alz.063652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Josephs KA, Tosakulwong N, Gatto RG, Weigand SD, Ali F, Botha H, Graff‐Radford J, Machulda MM, Savica R, Schwarz CG, Senjem ML, Boeve BF, Kantarci K, Jones DT, Ramanan VK, Fields JA, Reichard RR, Dickson DW, Petersen RC, Jack CR, Lowe VJ, Whitwell JL. Optimum Differentiation of Frontotemporal Lobar Degeneration from Alzheimer Disease Achieved with Cross-Sectional Tau Positron Emission Tomography. Ann Neurol 2022; 92:1016-1029. [PMID: 36054427 PMCID: PMC9804568 DOI: 10.1002/ana.26479] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 01/25/2023]
Abstract
OBJECTIVE This study was undertaken to assess cross-sectional and longitudinal [18 F]-flortaucipir positron emission tomography (PET) uptake in pathologically confirmed frontotemporal lobar degeneration (FTLD) and to compare FTLD to cases with high and low levels of Alzheimer disease (AD) neuropathologic changes (ADNC). METHODS One hundred forty-three participants who had completed at least one flortaucipir PET and had autopsy-confirmed FTLD (n = 52) or high (n = 58) or low ADNC (n = 33) based on Braak neurofibrillary tangle stages 0-IV versus V-VI were included. Flortaucipir standard uptake value ratios (SUVRs) were calculated for 9 regions of interest (ROIs): an FTLD meta-ROI, midbrain, globus pallidum, an AD meta-ROI, entorhinal, inferior temporal, orbitofrontal, precentral, and medial parietal. Linear mixed effects models were used to compare mean baseline SUVRs and annual rate of change in SUVR by group. Sensitivity and specificity to distinguish FTLD from high and low ADNC were calculated. RESULTS Baseline uptake in the FTLD meta-ROI, midbrain, and globus pallidus was greater in FTLD than high and low ADNC. No region showed a greater rate of flortaucipir accumulation in FTLD. Baseline uptake in the AD-related regions and orbitofrontal and precentral cortices was greater in high ADNC, and all showed greater rates of accumulation compared to FTLD. Baseline differences were superior to longitudinal rates in differentiating FTLD from high and low ADNC. A simple baseline metric of midbrain/inferior temporal ratio of flortaucipir uptake provided good to excellent differentiation between FTLD and high and low ADNC (sensitivities/specificities = 94%/95% and 71%/70%). INTERPRETATION There are cross-sectional and longitudinal differences in flortaucipir uptake between FTLD and high and low ADNC. However, optimum differentiation between FTLD and ADNC was achieved with baseline uptake rather than longitudinal rates. ANN NEUROL 2022;92:1016-1029.
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Diaz‐Galvan P, Przybelski SA, Lesnick TG, Schwarz CG, Senjem ML, Gunter JL, Jack CR, Min PH, Jain MK, Miyagawa T, Forsberg LK, Fields JA, Savica R, Graff‐Radford J, St EK, Knopman DS, Graff‐Radford NR, Ferman TJ, Petersen RC, Lowe VJ, Boeve BF, Kantarci K. Amyloid PET in the Lewy Body disease continuum. Alzheimers Dement 2022. [DOI: 10.1002/alz.067319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Grill J, Berkness T, Carrillo MC, Snyder HM, Aisen P, Sperling RA, Petersen RC, Aggarwal NT, Bell KL, Burns JM, Donohue MC, Dodge HH, Espeland MA, Gillen DL, Geldmacher DS, Heidebrink JL, Jicha GA, Olichney JM, Rafii MS, Rentz DM, Salloway SP, Sethuraman G, Smith AG, Raman R. The Institute on Methods and Protocols for Advancement of Clinical Trials for ADRD (IMPACT‐AD): An update after two years of conduct. Alzheimers Dement 2022. [DOI: 10.1002/alz.064617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Singh NA, Arani A, Graff‐Radford J, Senjem ML, Martin PR, Schwarz CG, Shu Y, Cogswell PM, Knopman DS, Petersen RC, Lowe VJ, Jack CR, Josephs KA, Whitwell JL. Unique brain iron profiles associated with logopenic progressive aphasia and posterior cortical atrophy. Alzheimers Dement 2022. [DOI: 10.1002/alz.063271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Stricker NH, Twohy EL, Albertson SM, Christianson TJ, Stricker JL, Machulda MM, Karstens AJ, Kremers WK, Hassenstab JJ, Jack CR, Knopman DS, Mielke MM, Petersen RC. Convergent and criterion validity of a computer adaptive self‐administered word list memory test and the Mayo Test Drive composite: correlations with traditional measures and group difference by PET imaging biomarker status in persons without dementia. Alzheimers Dement 2022. [DOI: 10.1002/alz.063723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Carlos AF, Tosakulwong N, Weigand SD, Boeve BF, Knopman DS, Petersen RC, Murray ME, Dickson DW, Josephs KA. Frequency of TAR DNA‐binding protein 43 (TDP‐43) increases linearly with age in the demented and non‐demented elderly population. Alzheimers Dement 2022. [DOI: 10.1002/alz.067190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Patel JS, Christianson TJ, Karstens AJ, Stricker JL, Kremers WK, Jack CR, Knopman DS, Mielke MM, Petersen RC, Stricker NH. An examination of the usability of the Mayo Test Drive remote cognitive testing platform in older adults with and without cognitive impairment. Alzheimers Dement 2022; 18 Suppl 2:e063691. [DOI: 10.1002/alz.063691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Corriveau‐Lecavalier N, Barnard LR, Lee J, Botha H, Graff‐Radford J, Machulda MM, Knopman DS, Lowe VJ, Boeve BF, Petersen RC, Jack CR, Jones DT. Deciphering the clinico‐radiological heterogeneity of dysexecutive Alzheimer’s disease using unsupervised machine learning techniques. Alzheimers Dement 2022. [DOI: 10.1002/alz.061945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Singh NA, Arani A, Graff‐Radford J, Senjem ML, Martin PR, Schwarz CG, Shu Y, Cogswell PM, Knopman DS, Petersen RC, Lowe VJ, Jack CR, Josephs KA, Whitwell JL. Unique brain iron profiles associated with logopenic progressive aphasia and posterior cortical atrophy. Alzheimers Dement 2022. [DOI: 10.1002/alz.063235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Mead AK, Bermudez CL, Cogswell PM, Wiste HJ, Gebre RK, Vemuri P, Knopman DS, Petersen RC, Jack CR, Graff‐Radford J, Gunter JL. Improved automated cerebral microbleed (CMB) detection. Alzheimers Dement 2022. [DOI: 10.1002/alz.063351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Graff‐Radford J, Mielke MM, Hofrenning EI, Kouri N, Lesnick T, Moloney CM, Rabinstein A, Cabrera‐Rodriguez JN, Rothberg DM, Przybelski SA, Petersen RC, Knopman DS, Dickson DW, Nguyen AT, Murray ME, Vemuri P. Plasma Biomarkers of Amyloid and Neurodegeneration predictive of Neuropathologic Scales of Cerebrovascular Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.067350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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