Citations

Mayo Clinic

Clear

1516 citation(s) found for "Jack, Clifford R".

P2‐334: THE INFLUENCE OF BETA‐AMYLOID ON THE PROGRESSION OF PROGRESSIVE APRAXIA OF SPEECH
Martin, Peter R. , Petersen, Ronald C. , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer L. , Utianski, Rene L. , Duffy, Joseph R. , Clark, Heather M. , Senjem, Matthew L. , Schwarz, Christopher G. , Knopman, David S. , Jack, Clifford R. , Whitwell, Jennifer L.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_15 | Pages: No page available

10.1016/j.jalz.2018.06.1024 Get It

P2‐273: CEREBROSPINAL FLUID NEUROFILAMENT LIGHT PROTEIN AND RISK OF MILD COGNITIVE IMPAIRMENT IN THE MAYO CLINIC STUDY OF AGING
Syrjanen, Jeremy A. , Blennow, Kaj , Hagen, Clinton E., Petersen, Ronald C. , Kern, Silke , Zetterberg, Henrik , Skoog, Ingmar , Wærn, Margda , Harten, Argonde C. van , Knopman, David S. , Jack, Clifford R. , Mielke, Michelle M.

Alzheimer's & Dementia | October 22, 2018 | Volume: 14 | Issue: 7S_Part_14 | Pages: No page available

10.1016/j.jalz.2018.06.962 Get It

P1‐442: VARIABILITY IN PDMN CONNECTIVITY AND RELATIVE HUBNESS IN COGNITIVELY NORMAL INDIVIDUALS PREDICT AMYLOID AND TAU DEPOSITION PATTERNS IN TYPICAL ALZHEIMER'S DISEASE
Graff‐Radford, Jonathan , Lowe, Val J. , Przybelski, Scott A. , Wiste, Heather J. , Gunter, Jeffrey L. , Petersen, Ronald C. , Botha, Hugo , Senjem, Matthew L. , Kantarci, Kejal , Boeve, Bradley F. , Knopman, David S. , Jack, Clifford R. , Jones, David T.

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

10.1016/j.jalz.2018.06.451 Get It

P1‐414: STATINS AND BRAIN HEALTH: MEDICATION EFFECTS ON NEUROIMAGING BIOMARKERS IN OLDER INDIVIDUALS
Przybelski, Scott A. , Graff‐Radford, Jonathan , Lowe, Val J. , Roberts, Rosebud O., Petersen, Ronald C. , Ramanan, Vijay K. , Mielke, Michelle M. , Knopman, David S. , Jack, Clifford R. , Vemuri, Prashanthi

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

10.1016/j.jalz.2018.06.423 Get It

P1‐410: SAMPLE SIZE ESTIMATES FOR SECONDARY PREVENTION STUDIES USING REGIONAL ATROPHY RATES
Veale, Thomas , Poole, Teresa, (DIAN), Dominantly Inherited Alzheimer Network, Cash, David M. , Modat, Marc , Molteni, Erika , Cardoso, M. Jorge , Benzinger, Tammie L.S. , Jack, Clifford R. , McDade, Eric , Bateman, Randall J. , Morris, John C. , Rossor, Martin N. , Ourselin, Sébastien , Frost, Chris , Fox, Nick C. , (DIAN), Dominantly Inherited Alzheimer Network

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

10.1016/j.jalz.2018.06.419 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

Multisite study of the relationships between antemortem [ 11 C]PIB‐PET Centiloid values and postmortem measures
Joie, Renaud La , Ayakta, Nagehan , Borys, Ewa, Boxer, Adam L. , DeCarli, Charles , Doré, Vincent , Grinberg, Lea T. , Huang, Eric J. , Hwang, Ji‐Hye , Ikonomović, Miloš D. , Jack, Clifford R. , Jagust, William J. , Jin, Lee‐Way, Klunk, William E. , Kofler, Julia , Lesman‐Segev, Orit H. , Lockhart, Samuel N. , Lowe, Val J. , Masters, Colin L. , Mathis, Chester A. , McLean, Catriona , Miller, Bruce L. , Mungas, Daniel, O’Neil, James P. , Olichney, John , Parisi, Joseph E., Petersen, Ronald C. , Rosen, Howard J. , Vemuri, Prashanthi , Villemagne, Victor L. , Murray, Melissa E. , Rabinovici, Gil D. , DeCarli, Charles , Jack, Clifford R , Vemuri, Prashanthi , Miller, Bruce L , Murray, Melissa E , Masters, Colin L , La Joie, Renaud , Grinberg, Lea , Rabinovici, Gil D , Seeley, William W. , Rowe, Christopher Cleon , Spina, Salvatore , Mclean, Catriona , Doré, Vincent

Alzheimer's & Dementia | October 20, 2018 | Volume: 15 | Issue: 2 | Pages: 205-216

10.1016/j.jalz.2018.09.001 | PMID 30347188 Get It

Abstract Introduction We sought to establish the relationships between standard postmortem measures of AD neuropathology and antemortem [ 11 C]PIB–positron emission tomography ([ 11 C]PIB‐PET) analyzed with the Centiloid (CL) method, a standardized scale for Aβ‐PET quantification. Methods Four centers contributed 179 participants encompassing a broad range of clinical diagnoses, PET data, and autopsy findings. Results CL values increased with each CERAD neuritic plaque score increment (median −3 CL for no plaques and 92 CL for frequent plaques) and nonlinearly with Thal Aβ phases (increases were detected starting at phase 2) with overlap between scores/phases. PET‐pathology associations were comparable across sites and unchanged when restricting the analyses to the 56 patients who died within 2 years of PET. A threshold of 12.2 CL detected CERAD moderate‐to‐frequent neuritic plaques (area under the curve = 0.910, sensitivity = 89.2%, specificity = 86.4%), whereas 24.4 CL identified intermediate‐to‐high AD neuropathological changes (area under the curve = 0.894, sensitivity = 84.1%, specificity = 87.9%). Discussion Our study demonstrated the robustness of a multisite Centiloid [ 11 C]PIB‐PET study and established a range of pathology‐based CL thresholds.
Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative
Veitch, Dallas P. , Weiner, Michael W. , Aisen, Paul, Cairns, Nigel J., Harvey, Danielle , Jack, Clifford R. , Jagust, William J. , Morris, John C. , Petersen, Ronald C. , Shaw, Leslie M. , Toga, Arthur W. , Trojanowski, John Q. , Initiative, Alzheimer's Disease Neuroimaging, Levey, Allan I. , Kantarci, Kejal , Fox, Nick C. , Mathis, Chester A. , Thompson, Paul M. , Donohue, Michael , DeCarli, Charles , Preda, Adrian , Carrillo, María C. , Turner, Raymond Scott , Bartha, Robert , Arfanakis, Konstantinos , Lamar, Melissa , DeCarli, Charles , Jack, Clifford R , Preda, Adrian , Toga, Arthur W , Thompson, Paul M , Kantarci, Kejal , Fox, Nick C , Morris, John C , Donohue, Michael C , Harvey, Danielle J , Beckett, Laurel , Green, Robert C. , Saykin, Andrew J. , Initiative, Alzheimer's Disease Neuroimaging, Levey, Allan I

Alzheimer's & Dementia | October 13, 2018 | Volume: 15 | Issue: 1 | Pages: 106-152

10.1016/j.jalz.2018.08.005 | PMID 30321505 Get It

Abstract Introduction The overall goal of the Alzheimer's Disease Neuroimaging Initiative (ADNI) is to validate biomarkers for Alzheimer's disease (AD) clinical trials. ADNI is a multisite, longitudinal, observational study that has collected many biomarkers since 2004. Recent publications highlight the multifactorial nature of late‐onset AD. We discuss selected topics that provide insights into AD progression and outline how this knowledge may improve clinical trials. Methods We used standard methods to identify nearly 600 publications using ADNI data from 2016 and 2017 (listed in Supplementary Material and searchable at http://adni.loni.usc.edu/news‐publications/publications/ ). Results (1) Data‐driven AD progression models supported multifactorial interactions rather than a linear cascade of events. (2) β‐Amyloid (Aβ) deposition occurred concurrently with functional connectivity changes within the default mode network in preclinical subjects and was followed by specific and progressive disconnection of functional and anatomical networks. (3) Changes in functional connectivity, volumetric measures, regional hypometabolism, and cognition were detectable at subthreshold levels of Aβ deposition. 4. Tau positron emission tomography imaging studies detailed a specific temporal and spatial pattern of tau pathology dependent on prior Aβ deposition, and related to subsequent cognitive decline. 5. Clustering studies using a wide range of modalities consistently identified a “typical AD” subgroup and a second subgroup characterized by executive impairment and widespread cortical atrophy in preclinical and prodromal subjects. 6. Vascular pathology burden may act through both Aβ dependent and independent mechanisms to exacerbate AD progression. 7. The APOE ε4 allele interacted with cerebrovascular disease to impede Aβ clearance mechanisms. 8. Genetic approaches identified novel genetic risk factors involving a wide range of processes, and demonstrated shared genetic risk for AD and vascular disorders, as well as the temporal and regional pathological associations of established AD risk alleles. 9. Knowledge of early pathological changes guided the development of novel prognostic biomarkers for preclinical subjects. 10. Placebo populations of randomized controlled clinical trials had highly variable trajectories of cognitive change, underscoring the importance of subject selection and monitoring. 11. Selection criteria based on Aβ positivity, hippocampal volume, baseline cognitive/functional measures, and APOE ε4 status in combination with improved cognitive outcome measures were projected to decrease clinical trial duration and cost. 12. Multiple concurrent therapies targeting vascular health and other AD pathology in addition to Aβ may be more effective than single therapies. Discussion ADNI publications from 2016 and 2017 supported the idea of AD as a multifactorial disease and provided insights into the complexities of AD disease progression. These findings guided the development of novel biomarkers and suggested that subject selection on the basis of multiple factors may lower AD clinical trial costs and duration. The use of multiple concurrent therapies in these trials may prove more effective in reversing AD disease progression.
Abstract WP346: Frequency of Convexal Subarachnoid Hemorrhage in the General Population
Yost, Micah D. , Fiebelkorn, Catherine Arnold, Aakre, Jeremiah A. , Przybelski, Scott A. , Klaas, James P. , Petersen, Ronald, Graff‐Radford, Jonathan , Vemuri, Prashanthi , Rabinstein, Alejandro A. , Flemming, Kelly D. , Brown, Robert , Kantarci, Kejal , Mielke, Michelle M. , Knopman, David S. , Jack, Clifford R.

Stroke | October 8, 2018 | Volume: 49 | Issue: Suppl_1 | Pages: No page available

10.1161/str.49.suppl_1.wp346 Get It

Background: Non-traumatic convexal subarachnoid hemorrhages (cSAH) in the elderly can be a manifestation of cerebral amyloid angiopathy (CAA) and predict future intracerebral hemorrhage risk. The frequency of cSAH in the elderly population is unknown. Our objective was to determine the frequency of convexal subarachnoid hemorrhage in a population-based study among individuals who underwent amyloid PET imaging. Methods: Between 11/29/2004 and 3/11/2017 there were 1,687 participants ages 50-years and older in the population-based Mayo Clinic Study of Aging (MCSA) with Pittsburgh compound B (PiB) PET imaging. All intracerebral hemorrhages among participants were identified utilizing the Rochester Epidemiology Project’s records linkage system, and records and images were reviewed to identify those with both symptomatic and asymptomatic convexal subarachnoid hemorrhage. Neuroimaging characteristics, demographics, medications, and ApoE genotype were recorded. Results: Four (0.23%) cSAHs were identified among the individuals who underwent PiB PET imaging. Three were women and median age was 73 (range: 67-84). cSAH occurred in the following locations: right frontal (3), and right parieto-occipital (1). Two went on to develop a lobar intracerebral hemorrhage at a median of 4.75 years after cSAH. Coexisting cerebral microbleeds were identified in one case. The APOE allele combinations of the four participants were: 3/3, 3/3, 2/2, and 2/3. On PiB PET imaging, the median SUVR was 1.81 (range: 1.38-2.34). Conclusion: cSAH is a relatively rare manifestation of CAA occurring in less than 1% of the general population, but may represent a subset with a high risk of future intracerebral hemorrhage. Half of the participants with cSAH had an APOE e2 allele.