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612 citation(s) found for "Graff‐Radford, Jonathan".

[P3–356]: VENTRICULOMEGALY IS A BIOMARKER OF GAIT AND COGNITIVE DECLINE
Graff‐Radford, Neill R. , Gunter, Jeffrey L. , Thomas, Colleen S. , Graff‐Radford, Jonathan , Petersen, Ronald C. , Crook, Julia E. , Jones, David T. , Boeve, Bradley F. , Knopman, David S. , Jack, Clifford R.

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_22 | Pages: No page available

10.1016/j.jalz.2017.06.1572 Get It

[IC‐P‐204]: SUBJECT‐LEVEL ASSESSMENT OF REGIONAL CORRELATIONS BETWEEN TAU‐PET, AMYLOID‐PET, MRI AND FDG‐PET ACROSS THE CLINICAL SPECTRUM OF ALZHEIMER's DISEASE
Whitwell, Jennifer L. , Tosakulwong, Nirubol , Weigand, Stephen D. , Graff‐Radford, Jonathan, Drubach, Daniel A., Petersen, Ronald C. , Lowe, Val J. , Josephs, Keith A. , Graff‐Radford, Jonathan , Vemuri, Prashanthi , Senjem, Matthew L. , Jones, David T. , Jack, Clifford R.

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_3 | Pages: No page available

10.1016/j.jalz.2017.06.2580 Get It

[O4–04–02]: MULTIMODAL IMAGING APPROACH TO UNDERSTAND THE IMPACT OF VASCULAR HEALTH ON BRAIN DIFFUSION, PERFUSION, METABOLISM, AND STRUCTURE
Lowe, Val J. , Przybelski, Scott A. , Graff‐Radford, Jonathan, Gunter, Jeffrey L. , Petersen, Ronald C. , Vemuri, Prashanthi , Knopman, David S. , Graff‐Radford, Jonathan , Senjem, Matthew L. , Reid, Robert I. , Schwarz, Christopher G. , Machulda, Mary M. , Jack, Clifford R.

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_25 | Pages: No page available

10.1016/j.jalz.2017.07.437 Get It

[IC‐P‐072]: AUTOMATED MEASUREMENT OF SULCAL CSF SPACES TO DETECT IMAGING PHENOTYPES OF DISPROPORTIONATELY ENLARGED SUBARACHNOID HYDROCEPHALUS
Gunter, Nathaniel B. , Graff‐Radford, Jonathan, Gunter, Jeffrey L. , Graff‐Radford, Neill R. , Schwarz, Christopher G. , Graff‐Radford, Jonathan , Jones, David T. , Jack, Clifford R.

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_1 | Pages: No page available

10.1016/j.jalz.2017.06.2345 Get It

[O4–04–05]: CEREBRAL MICROBLEEDS AND AMYLOID BURDEN: THE MAYO CLINIC STUDY OF AGING
Graff‐Radford, Jonathan, Przybelski, Scott A. , Lesnick, Timothy G. , Brown, Robert D. , Spychalla, Anthony J., Lowe, Val J. , Petersen, Ronald C. , Graff‐Radford, Jonathan , Rabinstein, Alejandro A. , Flemming, Kelly D. , Mielke, Michelle M. , Vemuri, Prashanthi , Knopman, David S. , Jack, Clifford R. , Kantarci, Kejal

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_25 | Pages: No page available

10.1016/j.jalz.2017.07.440 Get It

Neuroimaging Correlates of Cerebral Microbleeds
Graff‐Radford, Jonathan , Simino, Jeannette , Kantarci, Kejal , Griswold, Michael , Windham, B. Gwen , Sharrett, A. Richey , Albert, Marilyn S. , Jack, Clifford R. , Vemuri, Prashanthi , Jack, Clifford R , Vemuri, Prashanthi , Kantarci, Kejal , Mosley, Thomas H. , Gottesman, Rebecca F. , Knopman, David S.

Stroke | October 11, 2017 | Volume: 48 | Issue: 11 | Pages: 2964-2972

10.1161/strokeaha.117.018336 | PMID 29018129 Get It

Background and Purpose— Cerebral microbleed (CMB) location (deep versus strictly lobar) may elucidate underlying pathology with deep CMBs being more associated with hypertensive vascular disease and lobar CMBs being more associated with cerebral amyloid angiopathy. The objective of this study was to determine whether neuroimaging signs of vascular disease and Alzheimer pathology are associated with different types of CMBs. Methods— Among 1677 nondemented ARIC (Atherosclerosis Risk in Communities) participants (mean age=76±5 years; 40% men; 26% black) with 3-Tesla MRI scans at the fifth examination (2011–2013), we fit multinomial logistic regression models to quantify relationships of brain volumes (Alzheimer disease signature regions, total gray matter, frontal gray matter, and white matter hyperintensity volumes), infarct frequencies (lacunar, nonlacunar, and total), and apolipoprotein E (number of ε4 alleles) with CMB location (none, deep/mixed, or strictly lobar CMBs). Models were weighted for the sample selection scheme and adjusted for age, sex, education, hypertension, ever smoking status, diabetes mellitus, race site membership, and estimated intracranial volume (brain volume models only). Results— Deep/mixed and strictly lobar CMBs had prevalences of 8% and 16%, respectively. Larger white matter hyperintensity burden, greater total infarct frequency, smaller frontal volumes (in women only), and smaller total gray matter volume were associated with greater risk of both deep and lobar CMBs relative to no CMBs. Greater white matter hyperintensity volume was also associated with greater risk of deep relative to lobar CMBs. Higher lacunar and nonlacunar infarct frequencies were associated with higher risk of deep CMBs, whereas smaller Alzheimer disease signature region volume and apolipoprotein E ε4 homozygosity were associated with greater risk of lobar CMBs. Conclusions— CMBs are a common vascular pathology in the elderly. Markers of hypertensive small-vessel disease may contribute to deep CMBs while cerebral amyloid angiopathy may drive development of lobar CMBs.
Age, vascular health, and Alzheimer disease biomarkers in an elderly sample
Vemuri, Prashanthi , Lesnick, Timothy G. , Przybelski, Scott A. , Lowe, Val J. , Graff‐Radford, Jonathan , Roberts, Rosebud O., Mielke, Michelle M. , Petersen, Ronald C. , Jack, Clifford R. , Jack, Clifford R , Mielke, Michelle M , Vemuri, Prashanthi , Knopman, David S. , Machulda, Mary M.

Annals of Neurology | October 10, 2017 | Volume: 82 | Issue: 5 | Pages: 706-718

10.1002/ana.25071 | PMID 29023983 Get It

Objective To investigate the associations between age, vascular health, and Alzheimer disease (AD) imaging biomarkers in an elderly sample. Methods We identified 430 individuals along the cognitive continuum aged >60 years with amyloid positron emission tomography (PET), tau PET, and magnetic resonance imaging (MRI) scans from the population‐based Mayo Clinic Study of Aging. A subset of 329 individuals had fluorodeoxyglucose (FDG) PET. We ascertained presently existing cardiovascular and metabolic conditions (CMC) from health care records and used the summation of presence/absence of hypertension, hyperlipidemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes mellitus, and stroke as a surrogate for vascular health. We used global amyloid from Pittsburgh compound B PET, entorhinal cortex tau uptake (ERC‐tau) from tau‐PET, and neurodegeneration in AD signature regions from MRI and FDG‐PET as surrogates for AD pathophysiology. We dichotomized participants into CMC = 0 (CMC − ) versus CMC > 0 (CMC + ) and tested for age‐adjusted group differences in AD biomarkers. Using structural equation models (SEMs), we assessed the impact of vascular health on AD biomarker cascade (amyloid leads to tau leads to neurodegeneration) after considering the direct and indirect age, sex, and apolipoprotein E effects. Results CMC + participants had significantly greater neurodegeneration than CMC − participants but did not differ by amyloid or ERC‐tau. The SEMs showed that (1) vascular health had a significant direct and indirect impact on neurodegeneration but not on amyloid; and (2) vascular health, specifically the presence of hyperlipidemia, had a significant direct impact on ERC‐tau. Interpretation Vascular health had quantifiably greater impact on neurodegeneration in AD regions than on amyloid deposition. Longitudinal studies are warranted to clarify the relationship between tau deposition and vascular health. Ann Neurol 2017;82:706–718
Survival and Causes of Death Among People With Clinically Diagnosed Synucleinopathies With Parkinsonism
Savica, Rodolfo , Bower, James H., Ahlskog, J. Eric , Graff‐Radford, Jonathan , Rocca, Walter A. , Grossardt, Brandon R. , Boeve, Bradley F. , Mielke, Michelle M.

JAMA Neurology | May 15, 2017 | Volume: 74 | Issue: 7 | Pages: 839

10.1001/jamaneurol.2017.0603 | PMID 28505261 Get It