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| 001 | 140809 | ||
| 005 | 20250415113136.0 | ||
| 024 | 7 | _ | |a 10.1007/s00259-019-04342-3 |2 doi |
| 024 | 7 | _ | |a pmid:31183635 |2 pmid |
| 024 | 7 | _ | |a 0340-6997 |2 ISSN |
| 024 | 7 | _ | |a 1432-105X |2 ISSN |
| 024 | 7 | _ | |a 1619-7070 |2 ISSN |
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| 037 | _ | _ | |a DZNE-2020-07131 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Hoenig, Merle C |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Level of education mitigates the impact of tau pathology on neuronal function. |
| 260 | _ | _ | |a Heidelberg [u.a.] |c 2019 |b Springer-Verl. |
| 264 | _ | 1 | |3 online |2 Crossref |b Springer Science and Business Media LLC |c 2019-06-10 |
| 264 | _ | 1 | |3 print |2 Crossref |b Springer Science and Business Media LLC |c 2019-08-01 |
| 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 1744709456_6736 |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 Using PET imaging in a group of patients with Alzheimer's disease (AD), we investigated whether level of education, a proxy for resilience, mitigates the harmful impact of tau pathology on neuronal function.We included 38 patients with mild-to-moderate AD (mean age 67 ± 7 years, mean MMSE score 24 ± 4, mean years of education 14 ± 4; 20 men, 18 women) in whom a [18F]AV-1451 scan (a measure of tau pathology) and an [18F]FDG scan (a measure of neuronal function) were available. The preprocessed PET scans were z-transformed using templates for [18F]AV-1451 and [18F]FDG from healthy controls, and subsequently thresholded at a z-score of ≥3.0, representing an one-tailed p value of 0.001. Next, three volumes were computed in each patient: the tau-specific volume (tau pathology without neuronal dysfunction), the FDG-specific volume (neuronal dysfunction without tau pathology), and the overlap volume (tau pathology and neuronal dysfunction). Mean z-scores and volumes were extracted and used as dependent variables in regression analysis with years of education as predictor, and age and MMSE score as covariates.Years of education were positively associated with tau-specific volume (β = 0.362, p = 0.022), suggesting a lower impact of tau pathology on neuronal function in patients with higher levels of education. Concomitantly, level of education was positively related to tau burden in the overlap volume (β = 0.303, p = 0.036) implying that with higher levels of education more tau pathology is necessary to induce neuronal dysfunction.In patients with higher levels of education, tau pathology is less paralleled by regional and remote neuronal dysfunction. The data suggest that early life-time factors such as level of education support resilience mechanisms, which ameliorate AD-related effects later in life. |
| 536 | _ | _ | |a 344 - Clinical and Health Care Research (POF3-344) |0 G:(DE-HGF)POF3-344 |c POF3-344 |f POF III |x 0 |
| 542 | _ | _ | |i 2019-06-10 |2 Crossref |u http://www.springer.com/tdm |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: metabolism |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: pathology |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: physiopathology |2 MeSH |
| 650 | _ | 2 | |a Educational Status |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Neurons: pathology |2 MeSH |
| 650 | _ | 2 | |a Positron-Emission Tomography |2 MeSH |
| 650 | _ | 2 | |a tau Proteins: metabolism |2 MeSH |
| 700 | 1 | _ | |a Bischof, Gérard N |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Onur, Özgür A |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Kukolja, Juraj |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Jessen, Frank |0 P:(DE-2719)2000032 |b 4 |u dzne |
| 700 | 1 | _ | |a Fliessbach, Klaus |0 P:(DE-2719)2811326 |b 5 |u dzne |
| 700 | 1 | _ | |a Neumaier, Bernd |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Fink, Gereon R |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Kalbe, Elke |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Drzezga, Alexander |0 P:(DE-2719)2811239 |b 9 |u dzne |
| 700 | 1 | _ | |a Eimeren, Thilo |0 P:(DE-2719)2812285 |b 10 |e Last author |u dzne |
| 700 | 1 | _ | |a Initiative, Alzheimer’s Disease Neuroimaging |0 P:(DE-HGF)0 |b 11 |
| 773 | 1 | 8 | |a 10.1007/s00259-019-04342-3 |b : Springer Science and Business Media LLC, 2019-06-10 |n 9 |p 1787-1795 |3 journal-article |2 Crossref |t European Journal of Nuclear Medicine and Molecular Imaging |v 46 |y 2019 |x 1619-7070 |
| 773 | _ | _ | |a 10.1007/s00259-019-04342-3 |g Vol. 46, no. 9, p. 1787 - 1795 |0 PERI:(DE-600)2098375-X |n 9 |q 46:9<1787 - 1795 |p 1787-1795 |t European journal of nuclear medicine and molecular imaging |v 46 |y 2019 |x 1619-7070 |
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