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Vemuri, Prashanthi

https://orcid.org/0000-0003-4286-0589

Mayo Clinic

Mayo Clinic

Citations 588

Association of Kidney Function Biomarkers with Brain MRI Findings: The BRINK Study
Vemuri, Prashanthi , Jack, Clifford R. , Lundt, Emily S. , Weigand, Stephen D. , Zuk, Samantha M., Thostenson, Kaely, Kantarci, Kejal , Slinin, Yelena, Lakshminarayan, Kamakshi , Davey, Cynthia , Murray, Anne M. , Thostenson, Kaely B, Knopman, David S. , Reid, Robert I. , Slinin, Yelena , Jack, Clifford R , Vemuri, Prashanthi , Kantarci, Kejal , Lundt, Emily S

Journal of Alzheimer's Disease | October 21, 2016 | Volume: 55 | Issue: 3 | Pages: 1069-1082

10.3233/jad-160834 Get It

O2‐05‐04: Resilience Factors for Amyloid Deposition and Neurodegeneration are Different
Lesnick, Timothy G. , Przybelski, Scott A. , Roberts, Rosebud O., Lowe, Val J. , Petersen, Ronald C. , Vemuri, Prashanthi , Knopman, David S. , Machulda, Mary M. , Mielke, Michelle M. , Geda, Yonas E. , Jack, Clifford R.

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_5 | Pages: No page available

10.1016/j.jalz.2016.06.420 Get It

P1‐391: MRI Predictors of Cognitive Decline in CKD: The Brink Study
Murray, Anne M. , Davey, Cynthia , Tupper, David E., Amiot, Elizabeth, Zuk, Samantha M., Steinert, Kaely, Vemuri, Prashanthi , Lundt, Emily S. , Jack, Clifford R.

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_12 | Pages: No page available

10.1016/j.jalz.2016.06.1143 Get It

O2‐08‐01: Av1451 Pet Imaging in the Spectrum of Alzheimer's Disease from Clinically Normal to Dementia
Wiste, Heather J. , Petersen, Ronald C. , Roberts, Rosebud O., Weigand, Stephen D. , Graff‐Radford, Jonathan , Lowe, Val J. , Knopman, David S. , Jack, Clifford R. , Boeve, Bradley F. , Kantarci, Kejal , Jones, David T. , Mielke, Michelle M. , Vemuri, Prashanthi , Machulda, Mary M.

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_5 | Pages: No page available

10.1016/j.jalz.2016.06.436 Get It

IC‐P‐197: Regional TAU‐PET Uptake Patterns and Their Association with Braak Staging, Cognition, and Onset of ad‐Dementia
Lowe, Val J. , Wiste, Heather J. , Fang, Ping , Josephs, Keith A. , Petersen, Ronald C. , Senjem, Matthew L. , Boeve, Bradley F. , Murray, Melissa E. , Kantarci, Kejal , Jones, David T. , Schwarz, Christopher G. , Knopman, David S. , Jack, Clifford R. , Vemuri, Prashanthi

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_3 | Pages: No page available

10.1016/j.jalz.2016.06.228 Get It

IC‐01‐01: Predictors of Regional TAU‐PET Uptake: Mayo Clinic Study of Aging
Lowe, Val J. , Wiste, Heather J. , Weigand, Stephen D. , Petersen, Ronald C. , Vemuri, Prashanthi , Senjem, Matthew L. , Knopman, David S. , Jack, Clifford R.

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_1 | Pages: No page available

10.1016/j.jalz.2016.06.061 Get It

Practice effects and longitudinal cognitive change in clinically normal older adults differ by Alzheimer imaging biomarker status
Hagen, Clint , Wiste, Heather J. , Mielke, Michelle M. , Roberts, Rosebud O., Vemuri, Prashanthi , Lowe, Val J. , Jack, Clifford R. , Petersen, Ronald C. , Machulda, Mary M. , Knopman, David S. , Jack, Clifford R , Mielke, Michelle M , Vemuri, Prashanthi

The Clinical Neuropsychologist | October 11, 2016 | Volume: 31 | Issue: 1 | Pages: 99-117

10.1080/13854046.2016.1241303 Get It

Defining imaging biomarker cut points for brain aging and Alzheimer's disease
Jack, Clifford R. , Wiste, Heather J. , Weigand, Stephen D. , Therneau, Terry M. , Lowe, Val J. , Gunter, Jeffrey L. , Senjem, Matthew L. , Kantarci, Kejal , Mielke, Michelle M. , Roberts, Rosebud O., Vemuri, Prashanthi , Reyes, Denise A., Petersen, Ronald C. , Knopman, David S. , Jones, David T. , Machulda, Mary M. , Jack, Clifford R , Mielke, Michelle M , Vemuri, Prashanthi , Senjem, Matthew L , Kantarci, Kejal

Alzheimer's & Dementia | October 5, 2016 | Volume: 13 | Issue: 3 | Pages: 205-216

10.1016/j.jalz.2016.08.005 Get It

Abstract Introduction Our goal was to develop cut points for amyloid positron emission tomography (PET), tau PET, flouro‐deoxyglucose (FDG) PET, and MRI cortical thickness. Methods We examined five methods for determining cut points. Results The reliable worsening method produced a cut point only for amyloid PET. The specificity, sensitivity, and accuracy of cognitively impaired versus young clinically normal (CN) methods labeled the most people abnormal and all gave similar cut points for tau PET, FDG PET, and cortical thickness. Cut points defined using the accuracy of cognitively impaired versus age‐matched CN method labeled fewer people abnormal. Discussion In the future, we will use a single cut point for amyloid PET (standardized uptake value ratio, 1.42; centiloid, 19) based on the reliable worsening cut point method. We will base lenient cut points for tau PET, FDG PET, and cortical thickness on the accuracy of cognitively impaired versus young CN method and base conservative cut points on the accuracy of cognitively impaired versus age‐matched CN method.
Mediterranean diet, micronutrients and macronutrients, and MRI measures of cortical thickness
Staubo, Sara C., Aakre, Jeremiah A. , Vemuri, Prashanthi , Syrjanen, Jeremy A. , Mielke, Michelle M. , Geda, Yonas E. , Kremers, Walter K. , Petersen, Ronald C. , Jack, Clifford R. , Roberts, Rosebud O., Machulda, Mary M. , Knopman, David S. , Jack, Clifford R , Mielke, Michelle M , Vemuri, Prashanthi , Geda, Yonas E , Kremers, Walter K

Alzheimer's & Dementia | July 26, 2016 | Volume: 13 | Issue: 2 | Pages: 168-177

10.1016/j.jalz.2016.06.2359 Get It

AbstractIntroductionThe Mediterranean diet (MeDi) is associated with reduced risk of cognitive impairment, but it is unclear whether it is associated with better brain imaging biomarkers.MethodsAmong 672 cognitively normal participants (mean age, 79.8 years, 52.5% men), we investigated associations of MeDi score and MeDi components with magnetic resonance imaging measures of cortical thickness for the four lobes separately and averaged (average lobar).ResultsHigher MeDi score was associated with larger frontal, parietal, occipital, and average lobar cortical thickness. Higher legume and fish intakes were associated with larger cortical thickness: legumes with larger superior parietal, inferior parietal, precuneus, parietal, occipital, lingual, and fish with larger precuneus, superior parietal, posterior cingulate, parietal, and inferior parietal. Higher carbohydrate and sugar intakes were associated with lower entorhinal cortical thickness.DiscussionIn this sample of elderly persons, higher adherence to MeDi was associated with larger cortical thickness. These cross‐sectional findings require validation in prospective studies.