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Jack, Clifford R.

https://orcid.org/0000-0001-7916-622X

Mayo Clinic

Mayo Clinic

Citations 1497

IC‐P‐106: Differentiation of bvFTD and Alzheimer's disease Using Grey Matter DTI and Volume Measurements
Whitwell, Jennifer L. , Avula, Ramesh, Senjem, Matthew L. , Weigand, Stephen D. , Samikoglu, Ali R., Edmonson, Heidi A. , Petersen, Ronald C. , Josephs, Keith A. , Kantarci, Kejal , Vemuri, Prashanthi , Knopman, David S. , Boeve, Bradley F. , Jack, Clifford R. , Senjem, Matthew L

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_2 | Pages: No page available

10.1016/j.jalz.2010.05.121 Get It

IC‐P‐105: 1H MR Spectroscopy in Presymptomatic MAPT mutation carriers: A Biomarker for Tau Mediated Pathology
Rademakers, Rosa , Whitwell, Jennifer L. , Baker, Matt , Senjem, Matthew L. , Petersen, Ronald C. , Kantarci, Kejal , Boeve, Bradley F. , Wszołek, Zbigniew K. , Knopman, David S. , Jack, Clifford R. , Senjem, Matthew L

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_2 | Pages: No page available

10.1016/j.jalz.2010.05.120 Get It

IC‐02‐03: Global functional connectivity changes in Alzheimer's disease
Przybelski, Scott A. , Petersen, Ronald C. , Vemuri, Prashanthi , Zeng, Guang‐Zhi , Jones, David T. , Machulda, Mary M. , Knopman, David S. , Boeve, Bradley F. , Jack, Clifford R.

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_1 | Pages: No page available

10.1016/j.jalz.2010.05.013 Get It

P1‐411: 1H MR spectroscopy in presymptomatic MAPT mutation carriers: A biomarker for tau mediated pathology
Rademakers, Rosa , Whitwell, Jennifer L. , Baker, Matt , Senjem, Matthew L. , Petersen, Ronald C. , Kantarci, Kejal , Boeve, Bradley F. , Wszołek, Zbigniew K. , Knopman, David S. , Jack, Clifford R. , Senjem, Matthew L

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_10 | Pages: No page available

10.1016/j.jalz.2010.05.966 Get It

IC‐P‐062: Cognitive Performance Correlates with Resting State Connectivity and is Effected by APOE Status
Younkin, Steve, Petersen, Ronald C. , Jones, David T. , Machulda, Mary M. , McDade, Eric , Vemuri, Prashanthi , Zeng, Guang‐Zhi , Knopman, David S. , Boeve, Bradley F. , Jack, Clifford R.

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_1 | Pages: No page available

10.1016/j.jalz.2010.05.077 Get It

Comparing predictors of conversion and decline in mild cognitive impairment
Landau, Susan , Harvey, Danielle , Madison, Catherine, Reiman, Eric M. , Foster, Norman L. , Aisen, Paul , Petersen, Ronald C. , Shaw, Leslie M. , Trojanowski, John Q. , Weiner, Michael W. , Jagust, William J. , Jack, Clifford R. , Harvey, Danielle J

Neurology | June 30, 2010 | Volume: 75 | Issue: 3 | Pages: 230-238

10.1212/wnl.0b013e3181e8e8b8 Get It

Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans
Saykin, Andrew J. , Shen, Li , Potkin, Steven G. , Swaminathan, Shanker , Kim, Sungeun , Risacher, Shannon L. , Huentelman, Matthew J. , Craig, David W. , Thompson, Paul M. , Stein, Jason L. , Moore, Jason H. , Farrer, Lindsay A. , Jack, Clifford R. , Weiner, Michael W. , Initiative, Alzheimer's Disease Neuroimaging, Foroud, Tatiana , Nho, Kwangsik T. , Green, Robert C. , Bertram, Lars , Initiative, Alzheimer's Disease Neuroimaging, Jack, Clifford R , Saykin, Andrew J , Shen, Li , Stein, Jason L , Thompson, Paul M

Alzheimer's & Dementia | May 7, 2010 | Volume: 6 | Issue: 3 | Pages: 265-273

10.1016/j.jalz.2010.03.013 Get It

The role of the Alzheimer's Disease Neuroimaging Initiative Genetics Core is to facilitate the investigation of genetic influences on disease onset and trajectory as reflected in structural, functional, and molecular imaging changes; fluid biomarkers; and cognitive status. Major goals include (1) blood sample processing, genotyping, and dissemination, (2) genome‐wide association studies (GWAS) of longitudinal phenotypic data, and (3) providing a central resource, point of contact and planning group for genetics within the Alzheimer's Disease Neuroimaging Initiative. Genome‐wide array data have been publicly released and updated, and several neuroimaging GWAS have recently been reported examining baseline magnetic resonance imaging measures as quantitative phenotypes. Other preliminary investigations include copy number variation in mild cognitive impairment and Alzheimer's disease and GWAS of baseline cerebrospinal fluid biomarkers and longitudinal changes on magnetic resonance imaging. Blood collection for RNA studies is a new direction. Genetic studies of longitudinal phenotypes hold promise for elucidating disease mechanisms and risk, development of therapeutic strategies, and refining selection criteria for clinical trials.
Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects
Trojanowski, John Q. , Vandeerstichele, Hugo, Korecka, Magdalena , Clark, Christopher M. , Aisen, Paul , Petersen, Ronald C. , Blennow, Kaj , Soares, Holly , Simon, Adam J., Dean, Robert A., Siemers, Eric , Potter, William Z., Weiner, Michael W. , Jack, Clifford R. , Jagust, William J. , Shaw, Leslie M. , Initiative, Alzheimer's Disease Neuroimaging, Lewczuk, Piotr , Toga, Arthur W. , Lee, Virginia M.‐Y. , Initiative, Alzheimer's Disease Neuroimaging, Jack, Clifford R

Alzheimer's & Dementia | May 7, 2010 | Volume: 6 | Issue: 3 | Pages: 230-238

10.1016/j.jalz.2010.03.008 Get It

Here, we review progress by the Penn Biomarker Core in the Alzheimer's Disease Neuroimaging Initiative (ADNI) toward developing a pathological cerebrospinal fluid (CSF) and plasma biomarker signature for mild Alzheimer's disease (AD) as well as a biomarker profile that predicts conversion of mild cognitive impairment (MCI) and/or normal control subjects to AD. The Penn Biomarker Core also collaborated with other ADNI Cores to integrate data across ADNI to temporally order changes in clinical measures, imaging data, and chemical biomarkers that serve as mileposts and predictors of the conversion of normal control to MCI as well as MCI to AD, and the progression of AD. Initial CSF studies by the ADNI Biomarker Core revealed a pathological CSF biomarker signature of AD defined by the combination of Aβ1‐42 and total tau (T‐tau) that effectively delineates mild AD in the large multisite prospective clinical investigation conducted in ADNI. This signature appears to predict conversion from MCI to AD. Data fusion efforts across ADNI Cores generated a model for the temporal ordering of AD biomarkers which suggests that Aβ amyloid biomarkers become abnormal first, followed by changes in neurodegenerative biomarkers (CSF tau, F‐18 fluorodeoxyglucose‐positron emission tomography, magnetic resonance imaging) with the onset of clinical symptoms. The timing of these changes varies in individual patients due to genetic and environmental factors that increase or decrease an individual's resilience in response to progressive accumulations of AD pathologies. Further studies in ADNI will refine this model and render the biomarkers studied in ADNI more applicable to routine diagnosis and to clinical trials of disease modifying therapies.
The Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans
Weiner, Michael W. , Aisen, Paul , Jack, Clifford R. , Jagust, William J. , Trojanowski, John Q. , Shaw, Leslie M. , Saykin, Andrew J. , Morris, John C. , Cairns, Nigel J. , Beckett, Laurel , Walter, Sarah , Soares, Holly , Snyder, Peter J. , Siemers, Eric , Potter, William Z., Cole, Patricia E., Initiative, Alzheimer's Disease Neuroimaging, Toga, Arthur W. , Green, Robert C. , Schmidt, Mark E. , Initiative, Alzheimer's Disease Neuroimaging, Jack, Clifford R , Saykin, Andrew J , Morris, John C

Alzheimer's & Dementia | May 7, 2010 | Volume: 6 | Issue: 3 | Pages: 202

10.1016/j.jalz.2010.03.007 Get It

The Alzheimer's Disease Neuroimaging Initiative (ADNI) beginning in October 2004, is a 6‐year research project that studies changes of cognition, function, brain structure and function, and biomarkers in elderly controls, subjects with mild cognitive impairment, and subjects with Alzheimer's disease (AD). A major goal is to determine and validate MRI, PET images, and cerebrospinal fluid (CSF)/blood biomarkers as predictors and outcomes for use in clinical trials of AD treatments. Structural MRI, FDG PET, C‐11 Pittsburgh compound B (PIB) PET, CSF measurements of amyloid β (Aβ) and species of tau, with clinical/cognitive measurements were performed on elderly controls, subjects with mild cognitive impairment, and subjects with AD. Structural MRI shows high rates of brain atrophy, and has high statistical power for determining treatment effects. FDG PET, C‐11 Pittsburgh compound B PET, and CSF measurements of Aβ and tau were significant predictors of cognitive decline and brain atrophy. All data are available at UCLA/LONI/ADNI, without embargo. ADNI‐like projects started in Australia, Europe, Japan, and Korea. ADNI provides significant new information concerning the progression of AD.