{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:06:13Z","timestamp":1743048373482,"version":"3.40.3"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T00:00:00Z","timestamp":1691107200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1016\/j.neuroimage.2023.120313","type":"journal-article","created":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T01:01:46Z","timestamp":1692234106000},"page":"120313","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Evaluation of novel data-driven metrics of amyloid \u03b2 deposition for longitudinal PET studies"],"prefix":"10.1016","volume":"280","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9169-7530","authenticated-orcid":false,"given":"Ariane","family":"Bollack","sequence":"first","affiliation":[]},{"given":"Pawel J","family":"Markiewicz","sequence":"additional","affiliation":[]},{"given":"Alle Meije","family":"Wink","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0299-1525","authenticated-orcid":false,"given":"Lloyd","family":"Prosser","sequence":"additional","affiliation":[]},{"given":"Johan","family":"Lilja","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2605-4766","authenticated-orcid":false,"given":"Pierrick","family":"Bourgeat","sequence":"additional","affiliation":[]},{"given":"Jonathan M","family":"Schott","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3976-9461","authenticated-orcid":false,"given":"William","family":"Coath","sequence":"additional","affiliation":[]},{"given":"Lyduine E","family":"Collij","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8419-6423","authenticated-orcid":false,"given":"Hugh G","family":"Pemberton","sequence":"additional","affiliation":[]},{"given":"Gill","family":"Farrar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3543-3706","authenticated-orcid":false,"given":"Frederik","family":"Barkhof","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7833-616X","authenticated-orcid":false,"given":"David M","family":"Cash","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2023.120313_bib0007","doi-asserted-by":"crossref","DOI":"10.1002\/alz.044511","article-title":"AHEAD 3-45 study design: a global study to evaluate the efficacy and safety of treatment with BAN2401 for 216 weeks in preclinical Alzheimer's disease with intermediate amyloid (A3 trial) and elevated amyloid (A45 trial)","volume":"16","author":"Aisen","year":"2020","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0045","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","article-title":"A fast diffeomorphic image registration algorithm","volume":"38","author":"Ashburner","year":"2007","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0053","doi-asserted-by":"crossref","first-page":"456","DOI":"10.3389\/fpsyg.2017.00456","article-title":"Repeated Measures Correlation","volume":"8","author":"Bakdash","year":"2017","journal-title":"Front Psychol"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0015","article-title":"18F-Florbetaben (FBB) PET SUVR quantification: Which reference region?","volume":"56","author":"Barthel","year":"2015","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0047","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1186\/s13550-018-0456-7","article-title":"Centiloid scaling for quantification of brain amyloid with [18F]flutemetamol using multiple processing methods","volume":"8","author":"Battle","year":"2018","journal-title":"EJNMMI Res"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0054","article-title":"Computational Analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images","volume":"56","author":"Bourgeat","year":"2015","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0031","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.neuroimage.2018.08.044","article-title":"Implementing the centiloid transformation for 11C-PiB and \u03b2-amyloid 18F-PET tracers using CapAIBL","volume":"183","author":"Bourgeat","year":"2018","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117593","article-title":"Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies","volume":"226","author":"Bourgeat","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119527","article-title":"\u03b2-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3","volume":"262","author":"Bourgeat","year":"2022","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0010","doi-asserted-by":"crossref","first-page":"2183","DOI":"10.1007\/s00259-021-05311-5","article-title":"A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [18F]flutemetamol amyloid PET images","volume":"48","author":"Bucci","year":"2021","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0005","doi-asserted-by":"crossref","DOI":"10.14283\/jpad.2022.30","article-title":"Two randomized phase 3 studies of aducanumab in early Alzheimer's disease","author":"Budd Haeberlein","year":"2022","journal-title":"J Prev Alzheimers Dis"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0016","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.2967\/jnumed.116.187351","article-title":"Optimal reference region to measure longitudinal amyloid-\u03b2 change with 18 F-Florbetaben PET","volume":"58","author":"Bullich","year":"2017","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0035","doi-asserted-by":"crossref","first-page":"2332","DOI":"10.1109\/TMI.2014.2340135","article-title":"Attenuation correction synthesis for Hybrid PET-MR scanners: application to brain studies","volume":"33","author":"Burgos","year":"2014","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0046","doi-asserted-by":"crossref","first-page":"1976","DOI":"10.1109\/TMI.2015.2418298","article-title":"Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion","volume":"34","author":"Cardoso","year":"2015","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0061","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.3233\/JAD-160232","article-title":"Standardized uptake value ratio-independent evaluation of brain amyloidosis","volume":"54","author":"Chincarini","year":"2016","journal-title":"J Alzheimers Dis"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0017","doi-asserted-by":"crossref","first-page":"14950","DOI":"10.1038\/s41598-020-70978-z","article-title":"Appropriate reference region selection of 18F-florbetaben and 18F-flutemetamol beta-amyloid PET expressed in Centiloid","volume":"10","author":"Cho","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0026","doi-asserted-by":"crossref","DOI":"10.1186\/s13195-020-00685-4","article-title":"Principal components of tau positron emission tomography and longitudinal tau accumulation in Alzheimer's disease","volume":"12","author":"Cho","year":"2020","journal-title":"Alzheimers Res Ther"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0048","doi-asserted-by":"crossref","unstructured":"Coath W., Modat M., Cardoso M.J., Markiewicz P., Lane C.A., Parker T.D., et\u00a0al. Operationalising the Centiloid Scale for [18 F]florbetapir PET Studies on PET\/MR. Radiology and Imaging; 2022. https:\/\/doi.org\/10.1101\/2022.02.11.22270590.","DOI":"10.1101\/2022.02.11.22270590"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0004","first-page":"alz.12444","article-title":"Aducanumab: Appropriate use recommendations","author":"Cummings","year":"2021","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0037","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1017\/S1041610209009405","article-title":"The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease","volume":"21","author":"Ellis","year":"2009","journal-title":"Int Psychogeriatr"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2021.102749","article-title":"PET evidence of preclinical cerebellar amyloid plaque deposition in autosomal dominant Alzheimer's disease-causing Presenilin-1 E280A mutation carriers","volume":"31","author":"Ghisays","year":"2021","journal-title":"NeuroImage Clin"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0030","doi-asserted-by":"crossref","first-page":"16665","DOI":"10.1038\/s41598-020-73673-1","article-title":"PET amyloid in normal aging: direct comparison of visual and automatic processing methods","volume":"10","author":"Haller","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0002","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1001\/jamaneurol.2019.1424","article-title":"Association of amyloid and tau with cognition in preclinical alzheimer disease: a longitudinal study","volume":"76","author":"Hanseeuw","year":"2019","journal-title":"JAMA Neurol"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0018","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1186\/s13550-020-00714-1","article-title":"[11C]PIB amyloid quantification: effect of reference region selection","volume":"10","author":"Heeman","year":"2020","journal-title":"EJNMMI Res"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118775","article-title":"rPOP: Robust PET-only processing of community acquired heterogeneous amyloid-PET data","volume":"246","author":"Iaccarino","year":"2022","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0059","doi-asserted-by":"crossref","first-page":"3769","DOI":"10.1002\/hbm.24210","article-title":"Adaptive template generation for amyloid PET using a deep learning approach","volume":"39","author":"Kang","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0039","article-title":"Concordance of CSF measures of Alzheimer's pathology with amyloid PET status in a preclinical cohort: A comparison of Lumipulse and established immunoassays","volume":"13","author":"Keshavan","year":"2021","journal-title":"Alzheimers Dement Diagn Assess Dis Monit"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0006","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1186\/s13195-019-0559-z","article-title":"Gantenerumab reduces amyloid-\u03b2 plaques in patients with prodromal to moderate Alzheimer's disease: a PET substudy interim analysis","volume":"11","author":"Klein","year":"2019","journal-title":"Alzheimers Res Ther"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0013","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jalz.2014.07.003","article-title":"The centiloid project: standardizing quantitative amyloid plaque estimation by PET","volume":"11","author":"Klunk","year":"2015","journal-title":"Alzheimers Dement J Alzheimers Assoc"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0051","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J Chiropr Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0036","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.neuroimage.2016.12.010","article-title":"A multi-centre evaluation of eleven clinically feasible brain PET\/MRI attenuation correction techniques using a large cohort of patients","volume":"147","author":"Ladefoged","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0038","doi-asserted-by":"crossref","first-page":"567","DOI":"10.2967\/jnumed.114.148981","article-title":"Measurement of Longitudinal -Amyloid Change with 18F-Florbetapir PET and Standardized Uptake Value Ratios","volume":"56","author":"Landau","year":"2015","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0033","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1186\/s12883-017-0846-x","article-title":"Study protocol: Insight 46 \u2013 a neuroscience sub-study of the MRC National Survey of Health and Development","volume":"17","author":"Lane","year":"2017","journal-title":"BMC Neurol"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0021","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.0000000000011031","article-title":"Derivation and utility of an A\u03b2-PET pathology accumulation index to estimate A\u03b2 load","author":"Leuzy","year":"2020","journal-title":"Neurology"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0027","doi-asserted-by":"crossref","first-page":"285","DOI":"10.2967\/jnumed.118.207811","article-title":"Spatial Normalization of 18F-Flutemetamol PET Images Using an Adaptive Principal-Component Template","volume":"60","author":"Lilja","year":"2019","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0062","article-title":"Improved amyloid burden quantification with nonspecific estimates using deep learning","author":"Liu","year":"2021","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0049","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1097\/00004647-199609000-00008","article-title":"Distribution Volume Ratios without Blood Sampling from Graphical Analysis of PET Data","volume":"16","author":"Logan","year":"1996","journal-title":"J Cereb Blood Flow Metab"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0012","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1002\/alz.12069","article-title":"Quantitative amyloid PET in Alzheimer's disease: the AMYPAD prognostic and natural history study","volume":"16","author":"Lopes Alves","year":"2020","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0003","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1186\/s13195-021-00819-2","article-title":"Strategies to reduce sample sizes in Alzheimer's disease primary and secondary prevention trials using longitudinal amyloid PET imaging","volume":"13","author":"Lopes Alves","year":"2021","journal-title":"Alzheimers Res Ther"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0040","doi-asserted-by":"crossref","first-page":"e2144","DOI":"10.1212\/WNL.0000000000008534","article-title":"Cognition at age 70: life course predictors and associations with brain pathologies","volume":"93","author":"Lu","year":"2019","journal-title":"Neurology"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0034","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/s12021-017-9352-y","article-title":"NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis","volume":"16","author":"Markiewicz","year":"2018","journal-title":"Neuroinformatics"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0043","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1098\/rstb.2001.0915","article-title":"A probabilistic atlas and reference system for the human brain: international consortium for brain mapping (ICBM)","volume":"356","author":"Mazziotta","year":"2001","journal-title":"Philos Trans R Soc Lond Ser B"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0042","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1007\/s12149-017-1154-7","article-title":"Brain uptake and safety of Flutemetamol F 18 injection in Japanese subjects with probable Alzheimer's disease, subjects with amnestic mild cognitive impairment and healthy volunteers","volume":"31","author":"Miki","year":"2017","journal-title":"Ann Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0008","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1056\/NEJMoa2100708","article-title":"Donanemab in early Alzheimer's disease","volume":"384","author":"Mintun","year":"2021","journal-title":"N Engl J Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0001","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1186\/s12883-019-1498-9","article-title":"Amyloid PET, FDG-PET or MRI? - the power of different imaging biomarkers to detect progression of early Alzheimer's disease","volume":"19","author":"Ortner","year":"2019","journal-title":"BMC Neurol"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0058","first-page":"alz.12317","article-title":"AMYQ: an index to standardize quantitative amyloid load across PET tracers","author":"Pegueroles","year":"2021","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0011","doi-asserted-by":"crossref","DOI":"10.1007\/s00259-022-05784-y","article-title":"Quantification of amyloid PET for future clinical use: a state-of-the-art review","author":"Pemberton","year":"2022","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0023","doi-asserted-by":"crossref","DOI":"10.1002\/alz.042673","article-title":"Amyloid Pattern Similarity Score (AMPSS): a reference region free measure of amyloid PET deposition in Alzheimer's disease: neuroimaging \/New imaging methods","volume":"16","author":"Prosser","year":"2020","journal-title":"Alzheimers Dement"},{"year":"2021","series-title":"R: A language and environment for statistical computing","key":"10.1016\/j.neuroimage.2023.120313_bib0050"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0009","first-page":"alz.12748","article-title":"The AHEAD 3-45 study: design of a prevention trial for Alzheimer's disease","author":"Rafii","year":"2022","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0024","doi-asserted-by":"crossref","DOI":"10.1002\/alz.043823","article-title":"AmyloidIQ: an advanced analytical algorithm to quantify amyloid-PET [18F]NAV4694 scans","volume":"16","author":"Rizzo","year":"2020","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0014","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1016\/j.jalz.2014.09.004","article-title":"The influence of biological and technical factors on quantitative analysis of amyloid PET: points to consider and recommendations for controlling variability in longitudinal data","volume":"11","author":"Schmidt","year":"2015","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0057","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.jalz.2011.05.2351","article-title":"Amyloid-related imaging abnormalities in amyloid-modifying therapeutic trials: recommendations from the Alzheimer's Association Research Roundtable Workgroup","volume":"7","author":"Sperling","year":"2011","journal-title":"Alzheimers Dement"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0044","unstructured":"SPM 12. https:\/\/www.fil.ion.ucl.ac.uk\/spm\/software\/spm12\/."},{"key":"10.1016\/j.neuroimage.2023.120313_bib0060","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1007\/s00259-019-04642-8","article-title":"Improved quantification of amyloid burden and associated biomarker cut-off points: results from the first amyloid Singaporean cohort with overlapping cerebrovascular disease","volume":"47","author":"Tanaka","year":"2020","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0052","doi-asserted-by":"crossref","first-page":"1570","DOI":"10.2967\/jnumed.112.113654","article-title":"Longitudinal amyloid imaging using 11 C-PiB: methodologic considerations","volume":"54","author":"van Berckel","year":"2013","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0041","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1002\/ana.22068","article-title":"18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: a phase 2 trial: 18F-Flutemetamol Phase 2 Trial","volume":"68","author":"Vandenberghe","year":"2010","journal-title":"Ann Neurol"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0020","doi-asserted-by":"crossref","first-page":"536","DOI":"10.2967\/jnumed.118.210518","article-title":"Amyloid load: a more sensitive biomarker for amyloid imaging","volume":"60","author":"Whittington","year":"2019","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0025","doi-asserted-by":"crossref","DOI":"10.2967\/jnumed.120.258962","article-title":"TauIQ - a canonical image based algorithm to quantify tau PET scans","author":"Whittington","year":"2021","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0056","doi-asserted-by":"crossref","first-page":"822","DOI":"10.2967\/jnumed.117.194720","article-title":"Spatiotemporal Distribution of \u03b2-Amyloid in Alzheimer Disease Is the Result of Heterogeneous Regional Carrying Capacities","volume":"59","author":"Whittington","year":"2018","journal-title":"J Nucl Med"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0029","article-title":"Amyloid accumulation in Down syndrome measured with amyloid load","volume":"12","author":"Zammit","year":"2020","journal-title":"Alzheimers Dement Diagn Assess Dis Monit"},{"key":"10.1016\/j.neuroimage.2023.120313_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.117728","article-title":"PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome","volume":"228","author":"Zammit","year":"2021","journal-title":"NeuroImage"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811923004640?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811923004640?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:58:39Z","timestamp":1742968719000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811923004640"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":62,"alternative-id":["S1053811923004640"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120313","relation":{},"ISSN":["1053-8119"],"issn-type":[{"type":"print","value":"1053-8119"}],"subject":[],"published":{"date-parts":[[2023,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluation of novel data-driven metrics of amyloid \u03b2 deposition for longitudinal PET studies","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120313","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"120313"}}