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475 citation(s) found for "Machulda, Mary M".

IC‐P‐144: PRINCIPAL AXES OF PHENOTYPIC VARIABILITY IN ALZHEIMER'S DISEASE DERIVED FROM AN FDG‐PET BASED, UNSUPERVISED MACHINE LEARNING ALGORITHM
Lowe, Val J. , Graff‐Radford, Jonathan , Parisi, Joseph E., Josephs, Keith A. , Therneau, Terry M. , Przybelski, Scott A. , Petersen, Ronald C. , Jones, David T. , Botha, Hugo , Murray, Melissa E. , Machulda, Mary M. , Senjem, Matthew L. , Kantarci, Kejal , Boeve, Bradley F. , Knopman, David S. , Jack, Clifford R.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_2 | Pages: No page available

10.1016/j.jalz.2018.06.2210 Get It

IC‐P‐116: COGNITIVE RESILIENCE IN 80+: PREDICTORS AND IMAGING CORRELATES OF COGNITION
Arenaza‐Urquijo, Eider M. , Przybelski, Scott A. , Lowe, Val J. , Radford, Jonathan Graff, Petersen, Ronald C. , Arenaza-Urquijo, Eider M , Machulda, Mary M. , Knopman, David S. , Mielke, Michelle M. , Jack, Clifford R. , Vemuri, Prashanthi

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_2 | Pages: No page available

10.1016/j.jalz.2018.06.2182 Get It

IC‐P‐083: DIAGNOSTIC UTILITY OF [18F]AV‐1451 PET, FDG‐PET AND MRI TO DIFFERENTIATE THE THREE VARIANTS OF PRIMARY PROGRESSIVE APHASIA
Whitwell, Jennifer L., Martin, Peter R. , Graff‐Radford, Jonathan , Weigand, Stephen D. , Drubach, Daniel A., Petersen, Ronald C. , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer , Botha, Hugo , Schwarz, Christopher G. , Duffy, Joseph R. , Clark, Heather M. , Machulda, Mary M. , Senjem, Matthew L. , Utianski, Rene L. , Boeve, Bradley F. , Jones, David T. , Knopman, David S. , Jack, Clifford R.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_1 | Pages: No page available

10.1016/j.jalz.2018.06.2147 Get It

IC‐02‐05: THE INFLUENCE OF AGE ON REGIONAL [18F]AV‐1451 PET, PITTSBURGH COMPOUND B PET AND MRI ATROPHY IN ATYPICAL ALZHEIMER'S DISEASE
Whitwell, Jennifer L. , Graff‐Radford, Jonathan , Martin, Peter R. , Spychalla, Anthony J., Weigand, Stephen D. , Drubach, Daniel A., Lowe, Val J. , Josephs, Keith A. , Senjem, Matthew L. , Schwarz, Christopher G. , Machulda, Mary M. , Jack, Clifford R.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_1 | Pages: No page available

10.1016/j.jalz.2018.06.2048 Get It

P3‐238: LONGITUDINAL ASSOCIATIONS OF PLASMA NEUROFILAMENT LEVELS WITH AMYLOID‐PET, FDG‐PET, AND COGNITION AMONG NON‐DEMENTED PARTICIPANTS IN THE MAYO CLINIC STUDY ON AGING
Syrjanen, Jeremy A. , Blennow, Kaj , Hagen, Clinton E., Petersen, Ronald C. , Mielke, Michelle M. , Zetterberg, Henrik , Kern, Silke , Skoog, Ingmar , Machulda, Mary M. , Knopman, David S. , Jack, Clifford R.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_22 | Pages: No page available

10.1016/j.jalz.2018.06.1597 Get It

P3‐202: TDP‐43 IN ATYPICAL ALZHEIMER'S DISEASE DEMENTIA
Sahoo, Aradhana, Tosakulwong, Nirubol , Whitwell, Jennifer L. , Weigand, Stephen D. , Liesinger, Amanda M., Parisi, Joseph E., Petersen, Ronald C. , Josephs, Keith A. , Murray, Melissa E. , Senjem, Matthew L. , Machulda, Mary M. , Boeve, Bradley F. , Knopman, David S. , Dickson, Dennis W.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_21 | Pages: No page available

10.1016/j.jalz.2018.06.1561 Get It

P2‐491: SUBTLE COGNITIVE DYSFUNCTION ON COGSTATE IS ASSOCIATED WITH BIOMARKER POSITIVE STATUS
Albertson, Sabrina M., Petersen, Ronald C. , Stricker, Nikki H. , Lundt, Emily S. , Machulda, Mary M. , Jack, Clifford R. , Knopman, David S. , Mielke, Michelle M.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_16 | Pages: No page available

10.1016/j.jalz.2018.06.1184 Get It

P2‐407: COGNITIVE RESILIENCE IN 80+: PREDICTORS AND IMAGING CORRELATES OF COGNITION
Przybelski, Scott A. , Lowe, Val J. , Graff‐Radford, Jonathan , Petersen, Ronald C. , Arenaza‐Urquijo, Eider M. , Machulda, Mary M. , Knopman, David S. , Mielke, Michelle M. , Jack, Clifford R. , Vemuri, Prashanthi

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_16 | Pages: No page available

10.1016/j.jalz.2018.06.1099 Get It

P1‐387: PRINCIPAL AXES OF PHENOTYPIC VARIABILITY IN ALZHEIMER'S DISEASE DERIVED FROM AN FDG‐PET BASED UNSUPERVISED MACHINE LEARNING ALGORITHM
Lowe, Val J. , Graff‐Radford, Jonathan , Parisi, Joseph E., Josephs, Keith A. , Therneau, Terry M. , Przybelski, Scott A. , Petersen, Ronald C. , Jones, David T. , Botha, Hugo , Murray, Melissa E. , Machulda, Mary M. , Senjem, Matthew L. , Kantarci, Kejal , Boeve, Bradley F. , Knopman, David S. , Jack, Clifford R.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_8 | Pages: No page available

10.1016/j.jalz.2018.06.395 Get It

Development of a cerebrovascular magnetic resonance imaging biomarker for cognitive aging
Vemuri, Prashanthi , Lesnick, Timothy G. , Przybelski, Scott A. , Graff‐Radford, Jonathan, Reid, Robert I. , Lowe, Val J. , Zuk, Samantha M., Senjem, Matthew L. , Schwarz, Christopher G. , Gunter, Jeffrey L. , Kantarci, Kejal , Mielke, Michelle M. , Petersen, Ronald C. , Jack, Clifford R. , Jack, Clifford R , Schwarz, Christopher G , Mielke, Michelle M , Reid, Robert I , Vemuri, Prashanthi , Senjem, Matthew L , Kantarci, Kejal , Graff‐Radford, Jonathan , Machulda, Mary M. , Knopman, David S.

Annals of Neurology | September 28, 2018 | Volume: 84 | Issue: 5 | Pages: 705-716

10.1002/ana.25346 | PMID 30264411 Get It

ObjectiveRecent availability of amyloid and tau positron emission tomography (PET) has provided us with a unique opportunity to measure the association of systemic vascular health with brain health after accounting for the impact of Alzheimer disease (AD) pathologies. We wanted to quantify early cerebrovascular health–related magnetic resonance imaging brain measures (structure, perfusion, microstructural integrity) and evaluate their utility as a biomarker for cerebrovascular health.MethodsWe used 2 independent samples (discovery, n = 390; validation, n = 1,035) of individuals, aged ≥ 60 years, along the cognitive continuum with imaging from the population‐based sample of Mayo Clinic Study of Aging. We ascertained vascular health by summing up recently existing cardiovascular and metabolic conditions (CMC) from health care records (hypertension, hyperlipidemia, cardiac arrhythmias, coronary artery disease, congestive heart failure, diabetes mellitus, and stroke). Using multiple regression models, we quantified associations between CMC and brain health after accounting for age, sex, education/occupation, and AD burden (from amyloid and tau PET).ResultsSystemic vascular health was associated with medial temporal lobe thinning, widespread cerebral hypoperfusion, and loss of microstructural integrity in several white matter tracts including the corpus callosum and fornix. Further investigations suggested that microstructural integrity of the genu of the corpus callosum was suitable for assessing prodromal cerebrovascular health, had similar distributions in the discovery and independent validation datasets, and predicted cognitive performance above and beyond amyloid deposition.InterpretationSystemic vascular health has significant impact on brain structure and function. Quantifying prodromal cerebrovascular health–related brain measures that are independent of AD pathology–related changes has great utility for cognitive aging. Ann Neurol 2018;84:713–724