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Jagust, William J.

https://orcid.org/0000-0002-4458-113X

Mayo Clinic

University of California, Berkeley

Citations 125

O1–04–04: The Alzheimer's disease neuroimaging initiative: Progress report
Weiner, Michael W. , Thal, Leon J., Petersen, Ronald C. , Jagust, William J. , Trojanowski, John Q., Shaw, Leslie M. , Gamst, Anthony, Jack, Clifford R. , Trojanowski, John Q., Toga, Arthur W. , Beckett, Laurel

Alzheimer's & Dementia | June 4, 2007 | Volume: 3 | Issue: 3S_Part_3 | Pages: No page available

10.1016/j.jalz.2007.04.080 Get It

IC–P–104: Imaging biomarkers to monitor treatment effects for Alzheimer's disease trials: The Alzheimer's disease imaging initiative
Weiner, Michael W. , Thal, Leon J., Petersen, Ronald C. , Jagust, William J. , Trojanowski, John Q. , Jack, Clifford R. , Beckett, Laurel

Alzheimer's & Dementia | August 17, 2006 | Volume: 2 | Issue: 3S_Part_22 | Pages: No page available

10.1016/j.jalz.2006.05.2310 Get It

P2–254: Imaging biomarkers to monitor treatment effects for Alzheimer's disease trials: The Alzheimer's disease imaging initiative
Weiner, Michael W. , Thal, Leon J., Petersen, Ronald C. , Jagust, William J. , Trojanowski, John Q. , Jack, Clifford R. , Beckett, Laurel

Alzheimer's & Dementia | August 17, 2006 | Volume: 2 | Issue: 3S_Part_10 | Pages: No page available

10.1016/j.jalz.2006.05.1093 Get It

Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's Disease Neuroimaging Initiative (ADNI)
Mueller, Susanne G. , Weiner, Michael W. , Thal, Leon J., Petersen, Ronald C. , Jagust, William J. , Trojanowski, John Q. , Toga, Arthur W. , Beckett, Laurel , Jack, Clifford R. , Toga, Arthur W

Alzheimer's & Dementia | August 25, 2005 | Volume: 1 | Issue: 1 | Pages: 55-66

10.1016/j.jalz.2005.06.003 Get It

Abstract With the increasing life expectancy in developed countries, the incidence of Alzheimer's disease (AD) and thus its socioeconomic impact are growing. Increasing knowledge over the last years about the pathomechanisms involved in AD allow for the development of specific treatment strategies aimed at slowing down or even preventing neuronal death in AD. However, this requires also that (1) AD can be diagnosed with high accuracy, because non‐AD dementias would not benefit from an AD‐specific treatment; (2) AD can be diagnosed in very early stages when any intervention would be most effective; and (3) treatment efficacy can be reliably and meaningfully monitored. Although there currently is no ideal biomarker that would fulfill all these requirements, there is increasing evidence that a combination of currently existing neuroimaging and cerebrospinal fluid (CSF) and blood biomarkers can provide important complementary information and thus contribute to a more accurate and earlier diagnosis of AD. The Alzheimer's Disease Neuroimaging Initiative (ADNI) is exploring which combinations of these biomarkers are the most powerful for diagnosis of AD and monitoring of treatment effects.