Citations 191

Association of type 2 diabetes with brain atrophy and cognitive impairment

Neurology | March 20, 2014 | Volume: 82 | Issue: 13 | Pages: 1132-1141

10.1212/wnl.0000000000000269 | PMID 24647028

Higher risk of progression to dementia in mild cognitive impairment cases who revert to normal

Neurology | December 19, 2013 | Volume: 82 | Issue: 4 | Pages: 317-325

10.1212/wnl.0000000000000055 | PMID 24353333

Is there a link between gynecologic surgeries and Alzheimer disease?

Neurology | December 12, 2013 | Volume: 82 | Issue: 3 | Pages: 196-197

10.1212/wnl.0000000000000043 | PMID 24336139

MRI and MRS predictors of mild cognitive impairment in a population-based sample

Neurology | June 13, 2013 | Volume: 81 | Issue: 2 | Pages: 126-133

10.1212/wnl.0b013e31829a3329 | PMID 23761624

Mild cognitive impairment due to Alzheimer disease in the community

Annals of Neurology | May 20, 2013 | Volume: 74 | Issue: 2 | Pages: 199-208

10.1002/ana.23931 | PMID 23686697

Objective The newly proposed National Institute on Aging–Alzheimer's Association (NIA‐AA) criteria for mild cognitive impairment (MCI) due to Alzheimer disease (AD) suggest a combination of clinical features and biomarker measures, but their performance in the community is not known. Methods The Mayo Clinic Study of Aging (MCSA) is a population‐based longitudinal study of nondemented subjects in Olmsted County, Minnesota. A sample of 154 MCI subjects from the MCSA was compared to a sample of 58 amnestic MCI subjects from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI‐1) to assess the applicability of the criteria in both settings and to assess their outcomes. Results Fourteen percent of MCSA and 16% of ADNI‐1 of subjects were biomarker negative. In addition, 14% of MCSA and 12% of ADNI‐1 subjects had evidence for amyloid deposition only, whereas 43% of MCSA and 55% of ADNI‐1 subjects had evidence for amyloid deposition plus neurodegeneration (magnetic resonance imaging atrophy, fluorodeoxyglucose positron emission tomography hypometabolism, or both). However, a considerable number of subjects had biomarkers inconsistent with the proposed AD model; for example, 29% of MCSA subjects and 17% of ADNI‐1 subjects had evidence for neurodegeneration without amyloid deposition. These subjects may not be on an AD pathway. Neurodegeneration appears to be a key factor in predicting progression relative to amyloid deposition alone. Interpretation The NIA‐AA criteria apply to most MCI subjects in both the community and clinical trials settings; however, a sizeable proportion of subjects had conflicting biomarkers, which may be very important and need to be explored. Ann Neurol 2013;74:199–208
Estrogens and Alzheimer disease risk

Neurology | October 26, 2012 | Volume: 79 | Issue: 18 | Pages: 1840-1841

10.1212/wnl.0b013e318271f88f | PMID 23100400

O1‐03‐03: Vascular risk factors in mid‐life increase structural MRI abnormalities in late life: The Mayo Clinic Study of Aging

Alzheimer's & Dementia | July 19, 2012 | Volume: 8 | Issue: 4S_Part_3 | Pages: No page available

10.1016/j.jalz.2012.05.216

P2‐169: Slow gait predicts cognitive decline: A population‐based cohort study

Alzheimer's & Dementia | July 19, 2012 | Volume: 8 | Issue: 4S_Part_9 | Pages: No page available

10.1016/j.jalz.2012.05.875

Large-scale replication and heterogeneity in Parkinson disease genetic loci

Neurology | July 12, 2012 | Volume: 79 | Issue: 7 | Pages: 659-667

10.1212/wnl.0b013e318264e353 | PMID 22786590

A limited role for DJ1 in Parkinson disease susceptibility

Neurology | May 13, 2012 | Volume: 63 | Issue: 3 | Pages: 550-553

10.1212/01.wnl.0000133402.78621.ad | PMID 15304593