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| 001 | 139666 | ||
| 005 | 20240321220648.0 | ||
| 024 | 7 | _ | |a 10.1212/WNL.0000000000004643 |2 doi |
| 024 | 7 | _ | |a pmid:29046362 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC5711511 |2 pmc |
| 024 | 7 | _ | |a 0028-3878 |2 ISSN |
| 024 | 7 | _ | |a 1526-632X |2 ISSN |
| 024 | 7 | _ | |a altmetric:27623296 |2 altmetric |
| 037 | _ | _ | |a DZNE-2020-05988 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Grothe, Michel J |0 P:(DE-2719)2810708 |b 0 |e First author |u dzne |
| 245 | _ | _ | |a In vivo staging of regional amyloid deposition. |
| 260 | _ | _ | |a [S.l.] |c 2017 |b Ovid |
| 264 | _ | 1 | |3 online |2 Crossref |b Ovid Technologies (Wolters Kluwer Health) |c 2017-10-18 |
| 264 | _ | 1 | |3 print |2 Crossref |b Ovid Technologies (Wolters Kluwer Health) |c 2017-11-14 |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1592481273_24921 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a To estimate a regional progression pattern of amyloid deposition from cross-sectional amyloid-sensitive PET data and evaluate its potential for in vivo staging of an individual's amyloid pathology.Multiregional analysis of florbetapir (18F-AV45)-PET data was used to determine individual amyloid distribution profiles in a sample of 667 participants from the Alzheimer's Disease Neuroimaging Initiative cohort, including cognitively normal older individuals (CN) as well as patients with mild cognitive impairment and Alzheimer disease (AD) dementia. The frequency of regional amyloid positivity across CN individuals was used to construct a 4-stage model of progressing amyloid pathology, and individual distribution profiles were used to evaluate the consistency of this hierarchical stage model across the full cohort.According to a 4-stage model, amyloid deposition begins in temporobasal and frontomedial areas, and successively affects the remaining associative neocortex, primary sensory-motor areas and the medial temporal lobe, and finally the striatum. Amyloid deposition in these brain regions showed a highly consistent hierarchical nesting across participants, where only 2% exhibited distribution profiles that deviated from the staging scheme. The earliest in vivo amyloid stages were mostly missed by conventional dichotomous classification approaches based on global florbetapir-PET signal, but were associated with significantly reduced CSF Aβ42 levels. Advanced in vivo amyloid stages were most frequent in patients with AD and correlated with cognitive impairment in individuals without dementia.The highly consistent regional hierarchy of PET-evidenced amyloid deposition across participants resembles neuropathologic observations and suggests a predictable regional sequence that may be used to stage an individual's progress of amyloid pathology in vivo. |
| 536 | _ | _ | |a 344 - Clinical and Health Care Research (POF3-344) |0 G:(DE-HGF)POF3-344 |c POF3-344 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 650 | _ | 7 | |a Amyloid beta-Peptides |2 NLM Chemicals |
| 650 | _ | 7 | |a Aniline Compounds |2 NLM Chemicals |
| 650 | _ | 7 | |a Biomarkers |2 NLM Chemicals |
| 650 | _ | 7 | |a Ethylene Glycols |2 NLM Chemicals |
| 650 | _ | 7 | |a Peptide Fragments |2 NLM Chemicals |
| 650 | _ | 7 | |a amyloid beta-protein (1-42) |2 NLM Chemicals |
| 650 | _ | 7 | |a florbetapir |0 6867Q6IKOD |2 NLM Chemicals |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Aged, 80 and over |2 MeSH |
| 650 | _ | 2 | |a Aging: metabolism |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: metabolism |2 MeSH |
| 650 | _ | 2 | |a Amyloid beta-Peptides: cerebrospinal fluid |2 MeSH |
| 650 | _ | 2 | |a Amyloid beta-Peptides: metabolism |2 MeSH |
| 650 | _ | 2 | |a Aniline Compounds |2 MeSH |
| 650 | _ | 2 | |a Biomarkers: metabolism |2 MeSH |
| 650 | _ | 2 | |a Cerebral Cortex: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Cerebral Cortex: metabolism |2 MeSH |
| 650 | _ | 2 | |a Cognitive Dysfunction: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Cognitive Dysfunction: metabolism |2 MeSH |
| 650 | _ | 2 | |a Cross-Sectional Studies |2 MeSH |
| 650 | _ | 2 | |a Disease Progression |2 MeSH |
| 650 | _ | 2 | |a Ethylene Glycols |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Neostriatum: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Neostriatum: metabolism |2 MeSH |
| 650 | _ | 2 | |a Peptide Fragments: cerebrospinal fluid |2 MeSH |
| 650 | _ | 2 | |a Positron-Emission Tomography: methods |2 MeSH |
| 700 | 1 | _ | |a Barthel, Henryk |b 1 |
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| 700 | 1 | _ | |a Dyrba, Martin |0 P:(DE-2719)2810283 |b 3 |u dzne |
| 700 | 1 | _ | |a Sabri, Osama |b 4 |
| 700 | 1 | _ | |a Teipel, Stefan J |0 P:(DE-2719)2000026 |b 5 |e Last author |u dzne |
| 700 | 1 | _ | |a Initiative, Alzheimer's Disease Neuroimaging |b 6 |
| 700 | 1 | _ | |a Weiner, Michael |b 7 |
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| 773 | 1 | 8 | |a 10.1212/wnl.0000000000004643 |b : Ovid Technologies (Wolters Kluwer Health), 2017-10-18 |n 20 |p 2031-2038 |3 journal-article |2 Crossref |t Neurology |v 89 |y 2017 |x 0028-3878 |
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| 856 | 7 | _ | |2 Pubmed Central |u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711511 |
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| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-2719)1510100 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|