Journal ArticleDOI
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B.
William E. Klunk,Henry Engler,Agneta Nordberg,Yanming Wang,G. Blomqvist,Daniel P. Holt,Mats Bergström,Irina Savitcheva,Guo Feng Huang,Sergio Estrada,Birgitta Ausén,Manik L. Debnath,Julien Barletta,Julie C. Price,Johan Sandell,Brian J. Lopresti,Anders Wall,Pernilla Koivisto,Gunnar Antoni,Chester A. Mathis,Bengt Långström +20 more
TLDR
The results suggest that PET imaging with the novel tracer, PIB, can provide quantitative information on amyloid deposits in living subjects.Abstract:
This report describes the first human study of a novel amyloid-imaging positron emission tomography (PET) tracer, termed Pittsburgh Compound-B (PIB), in 16 patients with diagnosed mild AD and 9 controls. Compared with controls, AD patients typically showed marked retention of PIB in areas of association cortex known to contain large amounts of amyloid deposits in AD. In the AD patient group, PIB retention was increased most prominently in frontal cortex (1.94-fold, p = 0.0001). Large increases also were observed in parietal (1.71-fold, p = 0.0002), temporal (1.52-fold, p = 0.002), and occipital (1.54-fold, p = 0.002) cortex and the striatum (1.76-fold, p = 0.0001). PIB retention was equivalent in AD patients and controls in areas known to be relatively unaffected by amyloid deposition (such as subcortical white matter, pons, and cerebellum). Studies in three young (21 years) and six older healthy controls (69.5 +/- 11 years) showed low PIB retention in cortical areas and no significant group differences between young and older controls. In cortical areas, PIB retention correlated inversely with cerebral glucose metabolism determined with 18F-fluorodeoxyglucose. This relationship was most robust in the parietal cortex (r = -0.72; p = 0.0001). The results suggest that PET imaging with the novel tracer, PIB, can provide quantitative information on amyloid deposits in living subjects.read more
Citations
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Journal ArticleDOI
Magnetic resonance imaging evidence for presymptomatic change in thalamus and caudate in familial Alzheimer’s disease
Natalie S. Ryan,Shiva Keihaninejad,Timothy J. Shakespeare,Manja Lehmann,Sebastian J. Crutch,Ian B. Malone,John S. Thornton,John S. Thornton,Laura Mancini,Laura Mancini,Harpreet Hyare,Tarek A. Yousry,Tarek A. Yousry,Gerard R. Ridgway,Gerard R. Ridgway,Hui Zhang,Marc Modat,Daniel C. Alexander,Martin N. Rossor,Sebastien Ourselin,Nick C. Fox +20 more
TL;DR: It is proposed that axonal injury may be an early event in presymptomatic Alzheimer’s disease, causing an initial fall in axial and mean diffusivity, which then increases with loss of axonal density.
Journal ArticleDOI
Galactic Cosmic Radiation Leads to Cognitive Impairment and Increased Aβ Plaque Accumulation in a Mouse Model of Alzheimer’s Disease
Jonathan D. Cherry,Bin Liu,Jeffrey L. Frost,Cynthia A. Lemere,Jacqueline P. Williams,John A. Olschowka,M. Kerry O'Banion +6 more
TL;DR: The results show for the first time that HZE particle radiation can increase Aβ plaque pathology in an APP/PS1 mouse model of Alzheimer’s disease.
Journal ArticleDOI
Tau burden and the functional connectome in Alzheimer’s disease and progressive supranuclear palsy
Thomas E. Cope,Timothy Rittman,Robin J Borchert,P. Simon Jones,Deniz Vatansever,Kieren Allinson,Luca Passamonti,Patricia Vázquez Rodríguez,W Richard Bevan-Jones,John T. O'Brien,James B. Rowe,James B. Rowe +11 more
TL;DR: By evaluating tau burden and functional connectivity in living patients, Cope et al. demonstrate relationships consistent with this in Alzheimer's disease but not progressive supranuclear palsy.
Journal ArticleDOI
Comparison of 18F-FDG and PiB PET in Cognitive Impairment
Val J. Lowe,Bradley J. Kemp,Clifford R. Jack,Matthew L. Senjem,Stephen D. Weigand,Maria Shiung,Glenn E. Smith,David S. Knopman,Bradley F. Boeve,Brian P. Mullan,Ronald C. Petersen +10 more
TL;DR: PiB PET and 18F-FDG PET have similar diagnostic accuracy in early cognitive impairment, however, significantly better group discrimination in naMCI and aMCI subjects by PiB was seen and may suggest early amyloid deposition before cerebral metabolic disruption in this group.
Journal ArticleDOI
Boosting power for clinical trials using classifiers based on multiple biomarkers
Omid Kohannim,Xue Hua,Derrek P. Hibar,Suh Lee,Yi Yu Chou,Arthur W. Toga,Clifford R. Jack,Michael W. Weiner,Paul M. Thompson +8 more
TL;DR: A Support Vector Machine algorithm is created that combines brain imaging and other biomarkers to classify 737 Alzheimer's disease Neuroimaging initiative (ADNI) subjects as having Alzheimer’s disease (AD), mild cognitive impairment (MCI), or normal controls.
References
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