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189 citation(s) found for "Aisen, Paul".

O3‐03‐08: Biomarker predictors of cognitive decline in healthy older participants in the Alzheimer's Disease Neuroimaging Initiative
Landau, Susan , Reiman, Eric M. , Foster, Norman L. , Aisen, Paul , Trojanowski, John Q. , Shaw, Leslie M. , Petersen, Ronald C. , Weiner, Michael W. , Jagust, William J. , Harvey, Danielle , Jack, Clifford R.

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_4 | Pages: No page available

10.1016/j.jalz.2010.05.411 Get It

P3‐180: Serial MRI and CSF biomarkers in normal aging, MCI and Alzheimer's disease
Wiste, Heather J. , Weigand, Stephen D. , Trojanowski, John Q., Shaw, Leslie M. , Aisen, Paul , Weiner, Michael W. , Petersen, Ronald C. , Initiative, Alzheimer's Disease Neuroimaging, Vemuri, Prashanthi , Knopman, David S. , Trojanowski, John Q., Bernstein, Matt A. , Jack, Clifford R. , Initiative, Alzheimer's Disease Neuroimaging

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_16 | Pages: No page available

10.1016/j.jalz.2010.05.1678 Get It

IC‐03‐01: Early MCI as an imaging target: Data from the National Alzheimer's Coordinating Center
Petersen, Ronald C. , Phillips, Leslie E., Aisen, Paul , Gill, Dawn P.

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

10.1016/j.jalz.2010.05.163 Get It

O2‐02‐06: Butyrylcholinesterase pharmacogenomics in mild cognitive impairment
Dea, Doris, Théroux, Louise, Lupien, Sonia , Petersen, Ronald C. , Aisen, Paul, Group, Alzheimer's Disease Cooperative Study, Poirier, Judes

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_3 | Pages: No page available

10.1016/j.jalz.2010.05.311 Get It

O2‐02‐02: Brain Aβ amyloid measures and MRI are complimentary predictors of progression from MCI to Alzheimer's disease
Wiste, Heather J. , Weigand, Stephen D. , Gunter, Jeffrey L. , Aisen, Paul , Weiner, Michael W. , Petersen, Ronald C. , Jagust, William J. , Shaw, Leslie M. , Trojanowski, John Q. , Initiative, Alzheimer's Disease Neuroimaging, Jack, Clifford R. , Vemuri, Prashanthi , Senjem, Matthew L. , Knopman, David S. , Bernstein, Matt A. , Initiative, Alzheimer's Disease Neuroimaging

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_3 | Pages: No page available

10.1016/j.jalz.2010.05.307 Get It

O1‐02‐08: Transforming CSF Aβ42 measures of brain beta‐amyloid into calculated PIB (PIBcalc) units
Weigand, Stephen D. , Wiste, Heather J. , Aisen, Paul, Petersen, Ronald C. , Weiner, Michael W. , Shaw, Leslie M. , Trojanowski, John Q., Jack, Clifford R. , Vemuri, Prashanthi , Knopman, David S. , Trojanowski, John Q.

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_3 | Pages: No page available

10.1016/j.jalz.2010.05.216 Get It

P3‐446: Effect of list word presentation order on noise level in verbal memory tasks
Shankle, William R. , Rafii, Mike, Petersen, Ron, Aisen, Paul , Fleisher, Adam J. , Ferris, Steven H.

Alzheimer's & Dementia | July 11, 2010 | Volume: 6 | Issue: 4S_Part_19 | Pages: No page available

10.1016/j.jalz.2010.05.1988 Get It

P1‐433: Brain volume changes with divalproex sodium in Alzheimer's disease
Fleisher, Adam , Weiner, Michael W. , Truran, Diana , Mai, Jacqueline, Aisen, Paul , Thomas, Ronald G. , Schneider, Lon S. , Tariot, Pierre N. , Jack, Clifford R. , Cummings, Jeffrey L.

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

10.1016/j.jalz.2010.05.988 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 | PMID 20592257 Get It

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 | PMID 20451871 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.