Literature DB >> 20202480

Twelve-month metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment assessed using an empirically pre-defined statistical region-of-interest: findings from the Alzheimer's Disease Neuroimaging Initiative.

Kewei Chen1, Jessica B S Langbaum, Adam S Fleisher, Napatkamon Ayutyanont, Cole Reschke, Wendy Lee, Xiaofen Liu, Dan Bandy, Gene E Alexander, Paul M Thompson, Norman L Foster, Danielle J Harvey, Mony J de Leon, Robert A Koeppe, William J Jagust, Michael W Weiner, Eric M Reiman.   

Abstract

Alzheimer's disease (AD) is characterized by specific and progressive reductions in fluorodeoxyglucose positron emission tomography (FDG PET) measurements of the cerebral metabolic rate for glucose (CMRgl), some of which may precede the onset of symptoms. In this report, we describe twelve-month CMRgl declines in 69 probable AD patients, 154 amnestic mild cognitive impairment (MCI) patients, and 79 cognitively normal controls (NCs) from the AD Neuroimaging Initiative (ADNI) using statistical parametric mapping (SPM). We introduce the use of an empirically pre-defined statistical region-of-interest (sROI) to characterize CMRgl declines with optimal power and freedom from multiple comparisons, and we estimate the number of patients needed to characterize AD-slowing treatment effects in multi-center randomized clinical trials (RCTs). The AD and MCI groups each had significant twelve-month CMRgl declines bilaterally in posterior cingulate, medial and lateral parietal, medial and lateral temporal, frontal and occipital cortex, which were significantly greater than those in the NC group and correlated with measures of clinical decline. Using sROIs defined based on training sets of baseline and follow-up images to assess CMRgl declines in independent test sets from each patient group, we estimate the need for 66 AD patients or 217 MCI patients per treatment group to detect a 25% AD-slowing treatment effect in a twelve-month, multi-center RCT with 80% power and two-tailed alpha=0.05, roughly one-tenth the number of the patients needed to study MCI patients using clinical endpoints. Our findings support the use of FDG PET, brain-mapping algorithms and empirically pre-defined sROIs in RCTs of AD-slowing treatments. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20202480      PMCID: PMC2856742          DOI: 10.1016/j.neuroimage.2010.02.064

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  56 in total

1.  Longitudinal PET Evaluation of Cerebral Metabolic Decline in Dementia: A Potential Outcome Measure in Alzheimer's Disease Treatment Studies.

Authors:  Gene E Alexander; Kewei Chen; Pietro Pietrini; Stanley I Rapoport; Eric M Reiman
Journal:  Am J Psychiatry       Date:  2002-05       Impact factor: 18.112

Review 2.  Alzheimer's disease is a synaptic failure.

Authors:  Dennis J Selkoe
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

3.  Correlations between apolipoprotein E epsilon4 gene dose and brain-imaging measurements of regional hypometabolism.

Authors:  Eric M Reiman; Kewei Chen; Gene E Alexander; Richard J Caselli; Daniel Bandy; David Osborne; Ann M Saunders; John Hardy
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-02       Impact factor: 11.205

4.  Longitudinal studies of regional cerebral metabolism in Alzheimer's disease.

Authors:  W J Jagust; R P Friedland; T F Budinger; E Koss; B Ober
Journal:  Neurology       Date:  1988-06       Impact factor: 9.910

5.  Clinical deterioration in probable Alzheimer's disease correlates with progressive metabolic impairment of association areas.

Authors:  R Mielke; K Herholz; M Grond; J Kessler; W D Heiss
Journal:  Dementia       Date:  1994 Jan-Feb

6.  Localization of neurofibrillary tangles and beta-amyloid plaques in the brains of living patients with Alzheimer disease.

Authors:  Kooresh Shoghi-Jadid; Gary W Small; Eric D Agdeppa; Vladimir Kepe; Linda M Ercoli; Prabha Siddarth; Stephen Read; Nagichettiar Satyamurthy; Andrej Petric; Sung-Cheng Huang; Jorge R Barrio
Journal:  Am J Geriatr Psychiatry       Date:  2002 Jan-Feb       Impact factor: 4.105

7.  Functional brain abnormalities in young adults at genetic risk for late-onset Alzheimer's dementia.

Authors:  Eric M Reiman; Kewei Chen; Gene E Alexander; Richard J Caselli; Daniel Bandy; David Osborne; Ann M Saunders; John Hardy
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-19       Impact factor: 11.205

8.  Detection of amyloid in Alzheimer's disease with positron emission tomography using [11C]AZD2184.

Authors:  Svante Nyberg; Maria Eriksdotter Jönhagen; Zsolt Cselényi; Christer Halldin; Per Julin; Hans Olsson; Yvonne Freund-Levi; Jan Andersson; Katarina Varnäs; Samuel Svensson; Lars Farde
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-06-05       Impact factor: 9.236

9.  A new rating scale for Alzheimer's disease.

Authors:  W G Rosen; R C Mohs; K L Davis
Journal:  Am J Psychiatry       Date:  1984-11       Impact factor: 18.112

Review 10.  Biomarkers of neurodegeneration for diagnosis and monitoring therapeutics.

Authors:  Leslie M Shaw; Magdalena Korecka; Christopher M Clark; Virginia M-Y Lee; John Q Trojanowski
Journal:  Nat Rev Drug Discov       Date:  2007-03-09       Impact factor: 84.694

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  80 in total

1.  The Alzheimer's Disease Neuroimaging Initiative: Annual change in biomarkers and clinical outcomes.

Authors:  Laurel A Beckett; Danielle J Harvey; Anthony Gamst; Michael Donohue; John Kornak; Hao Zhang; Julie H Kuo
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

2.  The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core.

Authors:  William J Jagust; Dan Bandy; Kewei Chen; Norman L Foster; Susan M Landau; Chester A Mathis; Julie C Price; Eric M Reiman; Daniel Skovronsky; Robert A Koeppe
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 3.  Update on the magnetic resonance imaging core of the Alzheimer's disease neuroimaging initiative.

Authors:  Clifford R Jack; Matt A Bernstein; Bret J Borowski; Jeffrey L Gunter; Nick C Fox; Paul M Thompson; Norbert Schuff; Gunnar Krueger; Ronald J Killiany; Charles S Decarli; Anders M Dale; Owen W Carmichael; Duygu Tosun; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 4.  The Alzheimer's disease neuroimaging initiative: progress report and future plans.

Authors:  Michael W Weiner; Paul S Aisen; Clifford R Jack; William J Jagust; John Q Trojanowski; Leslie Shaw; Andrew J Saykin; John C Morris; Nigel Cairns; Laurel A Beckett; Arthur Toga; Robert Green; Sarah Walter; Holly Soares; Peter Snyder; Eric Siemers; William Potter; Patricia E Cole; Mark Schmidt
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 5.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2011-11-02       Impact factor: 21.566

6.  Estimating sample sizes for predementia Alzheimer's trials based on the Alzheimer's Disease Neuroimaging Initiative.

Authors:  Joshua D Grill; Lijie Di; Po H Lu; Cathy Lee; John Ringman; Liana G Apostolova; Nicole Chow; Omid Kohannim; Jeffrey L Cummings; Paul M Thompson; David Elashoff
Journal:  Neurobiol Aging       Date:  2012-04-13       Impact factor: 4.673

Review 7.  FDG-PET for early assessment of Alzheimer's disease: isn't the evidence base large enough?

Authors:  Giovanni Lucignani; Flavio Nobili
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

Review 8.  The clinical value of large neuroimaging data sets in Alzheimer's disease.

Authors:  Arthur W Toga
Journal:  Neuroimaging Clin N Am       Date:  2011-12-17       Impact factor: 2.264

9.  A Transfer Learning Approach for Network Modeling.

Authors:  Shuai Huang; Jing Li; Kewei Chen; Teresa Wu; Jieping Ye; Xia Wu; Li Yao
Journal:  IIE Trans       Date:  2012-11-01

10.  Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population.

Authors:  Brian B Avants; David J Libon; Katya Rascovsky; Ashley Boller; Corey T McMillan; Lauren Massimo; H Branch Coslett; Anjan Chatterjee; Rachel G Gross; Murray Grossman
Journal:  Neuroimage       Date:  2013-10-02       Impact factor: 6.556

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