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Graff‐Radford, Jonathan

Mayo Clinic

Mayo Clinic

Citations 119

Imaging correlations of tau, amyloid, metabolism, and atrophy in typical and atypical Alzheimer's disease
Whitwell, Jennifer L. , Graff‐Radford, Jonathan, Tosakulwong, Nirubol , Weigand, Stephen D. , Senjem, Matthew L. , Spychalla, Anthony J., Vemuri, Prashanthi , Drubach, Daniel A., Ertekin‐Taner, Nilüfer , Petersen, Ronald C. , Lowe, Val J. , Jack, Clifford R. , Josephs, Keith A. , Jack, Clifford R , Vemuri, Prashanthi , Senjem, Matthew L , Graff‐Radford, Jonathan , Machulda, Mary M. , Jones, David T. , Knopman, David S. , Boeve, Bradley F.

Alzheimer's & Dementia | March 30, 2018 | Volume: 14 | Issue: 8 | Pages: 1005-1014

10.1016/j.jalz.2018.02.020 Get It

Abstract Introduction Neuroimaging modalities can measure different aspects of the disease process in Alzheimer's disease, although the relationship between these modalities is unclear. Methods We assessed subject‐level regional correlations between tau on [ 18 F]AV‐1451 positron emission tomography (PET), β amyloid on Pittsburgh compound B PET, hypometabolism on [ 18 F] fluorodeoxyglucose PET, and cortical thickness on magnetic resonance imaging in 96 participants with typical and atypical Alzheimer's disease presentations. We also assessed how correlations between modalities varied according to age, presenting syndrome, tau‐PET severity, and asymmetry. Results [ 18 F]AV‐1451 uptake showed the strongest regional correlation with hypometabolism. Correlations between [ 18 F]AV‐1451 uptake and both hypometabolism and cortical thickness were stronger in participants with greater cortical tau severity. In addition, age, tau asymmetry, and clinical diagnosis influenced the strength of the correlation between [ 18 F]AV‐1451 uptake and cortical thickness. Discussion These findings support a close relationship between tau and hypometabolism in Alzheimer's disease but show that correlations between neuroimaging modalities vary across participants.
[18F]AV‐1451 clustering of entorhinal and cortical uptake in Alzheimer's disease
Whitwell, Jennifer L. , Graff‐Radford, Jonathan, Tosakulwong, Nirubol , Weigand, Stephen D. , Senjem, Matthew L. , Schwarz, Christopher G. , Spychalla, Anthony J., Drubach, Daniel A., Ertekin‐Taner, Nilüfer , Petersen, Ronald C. , Lowe, Val J. , Jack, Clifford R. , Josephs, Keith A. , Schwarz, Christopher G , Jack, Clifford R , Senjem, Matthew L , Graff‐Radford, Jonathan , Machulda, Mary M. , Jones, David T. , Knopman, David S. , Boeve, Bradley F.

Annals of Neurology | January 11, 2018 | Volume: 83 | Issue: 2 | Pages: 248-257

10.1002/ana.25142 Get It

ObjectiveTo use a cluster analysis of [18F]AV‐1451 tau‐PET data to determine how subjects with Alzheimer's disease (AD) vary in the relative involvement of the entorhinal cortex and neocortex, and determine whether relative involvement of these two regions can help explain variability in age and clinical phenotype in AD.MethodsWe calculated [18F]AV‐1451 uptake in entorhinal cortex and neocortex in 62 amyloid‐positive AD patients (39 typical and 23 atypical presentation). tau‐PET (positron emission tomography) values were normalized to the cerebellum to create standard uptake value ratios (SUVRs). tau‐PET SUVRs were log‐transformed and clustered blinded to clinical information into three groups using K‐median cluster analysis. Demographics, clinical phenotype, cognitive performance, and apolipoprotein e4 frequency were compared across clusters.ResultsThe cluster analysis identified a cluster with low entorhinal and cortical uptake (ELo/CLo), one with low entorhinal but high cortical uptake (ELo/CHi), and one with high cortical and entorhinal uptake (EHi/CHi). Clinical phenotype differed across clusters, with typical AD most commonly observed in the ELo/CLo and EHi/CHi clusters, and atypical AD most commonly observed in the ELo/CHi cluster. The ELo/CLo cluster had an older age at PET and onset than the other clusters. Apolipoprotein e4 frequency was lower in the ELo/CHi cluster. The EHi/CHi cluster had the worst memory impairment, whereas the ELo/CHi cluster had the worst impairment in nonmemory domains.InterpretationThis study demonstrates considerable variability in [18F]AV‐1451 tau‐PET uptake in AD, but shows that a straightforward clustering based on entorhinal and cortical uptake maps well onto age and clinical presentation in AD. Ann Neurol 2018 Ann Neurol 2018;83:248–257
The limbic and neocortical contribution of α‐synuclein, tau, and amyloid β to disease duration in dementia with Lewy bodies
Ferman, Tanis J. , Aoki, Naoya , Murray, Melissa E. , Graff‐Radford, Neill R. , Gerpen, Jay A. van, Uitti, Ryan J. , Graff‐Radford, Jonathan, Pedraza, Otto , Kantarci, Kejal , Crook, Julia E. , Van Gerpen, Jay A, Kantarci, Kejal , Murray, Melissa E , Ferman, Tanis J , Wszołek, Zbigniew K. , Graff‐Radford, Jonathan , Boeve, Bradley F. , Dickson, Dennis W.

Alzheimer's & Dementia | October 31, 2017 | Volume: 14 | Issue: 3 | Pages: 330-339

10.1016/j.jalz.2017.09.014 Get It

AbstractIntroductionWe sought to assess the individual and combined contribution of limbic and neocortical α‐synuclein, tau, and amyloid β (Aβ) to duration of illness in dementia with Lewy bodies (DLB).MethodsQuantitative digital pathology of limbic and neocortical α‐synuclein, tau, and Aβ was assessed in 49 patients with clinically probable DLB. Regression modeling examined the unique and shared contribution of each pathology to the variance of illness duration.ResultsPatients with diffuse Lewy body disease had more severe pathology of each type and a shorter duration of illness than individuals with transitional Lewy body disease. The three pathologies accounted for 25% of the total variance of duration of illness, with 19% accounted for by α‐synuclein alone or in combination with tau and Aβ. When the diffuse Lewy body disease group was examined separately, α‐synuclein deposition significantly exceeded that of tau and Aβ. In this model, 20% of 24% total variance in the model for duration of illness was accounted for independently by α‐synuclein.DiscussionIn DLB, α‐synuclein is an important predictor of disease duration, both independently and synergistically with tau and Aβ.
[P1–384]: A NOVEL 18F‐FDG PET‐CT PATTERN IN IDIOPATHIC NORMAL PRESSURE HYDROCEPHALUS
Townley, Ryan , Graff‐Radford, Jonathan, Lowe, Val J. , Botha, Hugo , Graff‐Radford, Jonathan , Boeve, Bradley F. , Senjem, Matthew L. , Knopman, David S. , Jack, Clifford R. , Jones, David T.

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_8 | Pages: No page available

10.1016/j.jalz.2017.06.400 Get It

[IC‐P‐075]: PATTERN OF HYPOPERFUSION ON ASL OVERLAPS WITH HYPOMETABOLISM ON FDG‐PET IN DEMENTIA WITH LEWY BODIES
Przybelski, Scott A. , Lesnick, Timothy G. , Lowe, Val J. , Graff‐Radford, Jonathan, Petersen, Ronald C. , Nedelská, Zuzana , Senjem, Matthew L. , Boeve, Bradley F. , Vemuri, Prashanthi , Graff‐Radford, Jonathan , Ferman, Tanis J. , Knopman, David S. , Jack, Clifford R. , Kantarci, Kejal

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

10.1016/j.jalz.2017.06.2348 Get It

[O1–06–05]: 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_4 | Pages: No page available

10.1016/j.jalz.2017.07.068 Get It

[P1–380]: AUTOMATED MEASURMENT 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_8 | Pages: No page available

10.1016/j.jalz.2017.06.396 Get It

[P1–393]: PATTERN OF HYPOPERFUSION ON ASL OVERLAPS WITH HYPOMETABOLISM ON FDG‐PET IN DEMENTIA WITH LEWY BODIES
Przybelski, Scott A. , Lesnick, Timothy G. , Lowe, Val J. , Graff‐Radford, Jonathan, Petersen, Ronald C. , Nedelská, Zuzana , Senjem, Matthew L. , Boeve, Bradley F. , Vemuri, Prashanthi , Graff‐Radford, Jonathan , Ferman, Tanis J. , Knopman, David S. , Jack, Clifford R. , Kantarci, Kejal

Alzheimer's & Dementia | October 20, 2017 | Volume: 13 | Issue: 7S_Part_8 | Pages: No page available

10.1016/j.jalz.2017.06.409 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