{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T12:17:09Z","timestamp":1790857029250,"version":"4.1.0"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T00:00:00Z","timestamp":1720224000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T00:00:00Z","timestamp":1720224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Shanghai Science and Technology Commission, \u201cScience and Technology Innovation Action Plan\u201d project in the field of laboratory animal research","award":["NO.201409002200"],"award-info":[{"award-number":["NO.201409002200"]}]},{"name":"Shanghai Science and Technology Commission, \u201cScience and Technology Innovation Action Plan\u201d project in the field of laboratory animal research","award":["NO.201409002200"],"award-info":[{"award-number":["NO.201409002200"]}]},{"name":"Shanghai Science and Technology Commission, \u201cScience and Technology Innovation Action Plan\u201d project in the field of laboratory animal research","award":["NO.201409002200"],"award-info":[{"award-number":["NO.201409002200"]}]},{"name":"Shanghai Science and Technology Commission, \u201cScience and Technology Innovation Action Plan\u201d project in the field of laboratory animal research","award":["NO.201409002200"],"award-info":[{"award-number":["NO.201409002200"]}]},{"name":"the Minhang District Speciality Discipline Programme","award":["NO.2020MWFC01"],"award-info":[{"award-number":["NO.2020MWFC01"]}]},{"name":"the Minhang District Speciality Discipline Programme","award":["NO.2020MWFC01"],"award-info":[{"award-number":["NO.2020MWFC01"]}]},{"name":"the Minhang District Speciality Discipline Programme","award":["NO.2020MWFC01"],"award-info":[{"award-number":["NO.2020MWFC01"]}]},{"name":"the Minhang District Speciality Discipline Programme","award":["NO.2020MWFC01"],"award-info":[{"award-number":["NO.2020MWFC01"]}]},{"name":"Key Medical Speciality funded by Shanghai Fifth People\u2019s Hospital, Fudan University","award":["NO.2020WYZDZK09"],"award-info":[{"award-number":["NO.2020WYZDZK09"]}]},{"name":"Key Medical Speciality funded by Shanghai Fifth People\u2019s Hospital, Fudan University","award":["NO.2020WYZDZK09"],"award-info":[{"award-number":["NO.2020WYZDZK09"]}]},{"name":"Key Medical Speciality funded by Shanghai Fifth People\u2019s Hospital, Fudan University","award":["NO.2020WYZDZK09"],"award-info":[{"award-number":["NO.2020WYZDZK09"]}]},{"name":"Key Medical Speciality funded by Shanghai Fifth People\u2019s Hospital, Fudan University","award":["NO.2020WYZDZK09"],"award-info":[{"award-number":["NO.2020WYZDZK09"]}]},{"name":"the Minhang District Natural Science Research Project Application\/Project Assignment","award":["NO. 2023MHZ036"],"award-info":[{"award-number":["NO. 2023MHZ036"]}]},{"name":"the Minhang District Natural Science Research Project Application\/Project Assignment","award":["NO. 2023MHZ036"],"award-info":[{"award-number":["NO. 2023MHZ036"]}]},{"name":"the Minhang District Natural Science Research Project Application\/Project Assignment","award":["NO. 2023MHZ036"],"award-info":[{"award-number":["NO. 2023MHZ036"]}]},{"name":"the Minhang District Natural Science Research Project Application\/Project Assignment","award":["NO. 2023MHZ036"],"award-info":[{"award-number":["NO. 2023MHZ036"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Neurol"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Neurofilament Light (NfL) is a biomarker for early neurodegeneration in Alzheimer\u2019s disease (AD). This study aims to examine the association between plasma NfL and multi-modal neuroimaging features across the AD spectrum and whether NfL predicts future tau deposition.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>The present study recruited 517 participants comprising A\u03b2 negative cognitively normal (CN-) participants (n\u2009<jats:bold>=<\/jats:bold>\u2009135), A\u03b2 positive cognitively normal (CN\u2009+)\u2009participants (<jats:italic>n<\/jats:italic>\u2009=\u200964), individuals with amnestic mild cognitive impairment (aMCI) (<jats:italic>n<\/jats:italic>\u2009=\u2009212), and those diagnosed with AD dementia (<jats:italic>n<\/jats:italic>\u2009=\u2009106). All the participants underwent multi-modal neuroimaging examinations. Cross-sectional and longitudinal associations between plasma NfL and multi-modal neuro-imaging features were evaluated using partial correlation analysis and linear mixed effects models. We also used linear regression analysis to investigate the association of baseline plasma NfL with future PET tau load. Mediation analysis was used to explore whether the effect of NfL on cognition was mediated by these imaging biomarkers.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The results showed that baseline NfL levels and the rate of change were associated with A\u03b2 deposition, brain atrophy, brain connectome, glucose metabolism, and brain perfusion in AD signature regions (<jats:italic>P<\/jats:italic>&lt;0.05). In both A\u03b2 positive CN and MCI participants, baseline NfL showed a significant predictive value of elevating tau burden in the left medial orbitofrontal cortex and para-hippocampus (\u03b2\u2009=\u20090.336, <jats:italic>P<\/jats:italic>\u2009=\u20090.032; \u03b2\u2009=\u20090.313, <jats:italic>P<\/jats:italic>\u2009=\u20090.047). Lastly, the multi-modal neuroimaging features mediated the association between plasma NfL and cognitive performance.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>The study supports the association between plasma NfL and multi-modal neuroimaging features in AD-vulnerable regions and its predictive value for future tau deposition.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12883-024-03728-7","type":"journal-article","created":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T07:01:59Z","timestamp":1720249319000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Elevated plasma neurofilament light was associated with multi-modal neuroimaging features in Alzheimer\u2019s disease signature regions and predicted future tau deposition"],"prefix":"10.1186","volume":"24","author":[{"given":"Qili","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengqiu","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunfei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohu","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,6]]},"reference":[{"key":"3728_CR1","doi-asserted-by":"crossref","unstructured":"Grieco SF, Holmes TC, Xu X. Probing neural circuit mechanisms in Alzheimer\u2019s disease using novel technologies. Mol Psychiatry. 2023.","DOI":"10.1038\/s41380-023-02018-x"},{"issue":"2","key":"3728_CR2","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/S1474-4422(12)70291-0","volume":"12","author":"CR Jack Jr","year":"2013","unstructured":"Jack CR Jr., Knopman DS, Jagust WJ, Petersen RC, Weiner MW, Aisen PS, et al. Tracking pathophysiological processes in Alzheimer\u2019s disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol. 2013;12(2):207\u201316.","journal-title":"Lancet Neurol"},{"issue":"6","key":"3728_CR3","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1007\/s00415-018-9016-3","volume":"266","author":"A Chandra","year":"2019","unstructured":"Chandra A, Dervenoulas G, Politis M. Magnetic resonance imaging in Alzheimer\u2019s disease and mild cognitive impairment. J Neurol. 2019;266(6):1293\u2013302.","journal-title":"J Neurol"},{"issue":"6","key":"3728_CR4","doi-asserted-by":"publisher","first-page":"911","DOI":"10.2967\/jnumed.119.236224","volume":"61","author":"A Mueller","year":"2020","unstructured":"Mueller A, Bullich S, Barret O, Madonia J, Berndt M, Papin C, et al. Tau PET imaging with (18)F-PI-2620 in patients with Alzheimer Disease and healthy controls: a first-in-humans study. J Nucl Med. 2020;61(6):911\u20139.","journal-title":"J Nucl Med"},{"issue":"3","key":"3728_CR5","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/S1474-4422(06)70355-6","volume":"5","author":"O Hansson","year":"2006","unstructured":"Hansson O, Zetterberg H, Buchhave P, Londos E, Blennow K, Minthon L. Association between CSF biomarkers and incipient Alzheimer\u2019s disease in patients with mild cognitive impairment: a follow-up study. Lancet Neurol. 2006;5(3):228\u201334.","journal-title":"Lancet Neurol"},{"issue":"3","key":"3728_CR6","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0197-4580(03)00086-1","volume":"25","author":"P Lewczuk","year":"2004","unstructured":"Lewczuk P, Esselmann H, Otto M, Maler JM, Henkel AW, Henkel MK, et al. Neurochemical diagnosis of Alzheimer\u2019s dementia by CSF Abeta42, Abeta42\/Abeta40 ratio and total tau. Neurobiol Aging. 2004;25(3):273\u201381.","journal-title":"Neurobiol Aging"},{"issue":"5","key":"3728_CR7","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1001\/jamaneurol.2016.6117","volume":"74","author":"N Mattsson","year":"2017","unstructured":"Mattsson N, Andreasson U, Zetterberg H, Blennow K. Alzheimer\u2019s dis N. Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer Disease. JAMA Neurol. 2017;74(5):557\u201366.","journal-title":"JAMA Neurol"},{"issue":"2","key":"3728_CR8","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1038\/s41591-018-0304-3","volume":"25","author":"O Preische","year":"2019","unstructured":"Preische O, Schultz SA, Apel A, Kuhle J, Kaeser SA, Barro C, et al. Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer\u2019s disease. Nat Med. 2019;25(2):277\u201383.","journal-title":"Nat Med"},{"key":"3728_CR9","doi-asserted-by":"crossref","unstructured":"Yuan A, Rao MV, Veeranna, Nixon RA. Neurofilaments and Neurofilament Proteins in Health and Disease. Cold Spring Harb Perspect Biol. 2017;9(4).","DOI":"10.1101\/cshperspect.a018309"},{"issue":"1","key":"3728_CR10","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S0006-8993(03)03219-0","volume":"987","author":"N Norgren","year":"2003","unstructured":"Norgren N, Rosengren L, Stigbrand T. Elevated neurofilament levels in neurological diseases. Brain Res. 2003;987(1):25\u201331.","journal-title":"Brain Res"},{"issue":"4","key":"3728_CR11","doi-asserted-by":"publisher","first-page":"100607","DOI":"10.1016\/j.xcrm.2022.100607","volume":"3","author":"TF Gendron","year":"2022","unstructured":"Gendron TF, Heckman MG, White LJ, Veire AM, Pedraza O, Burch AR, et al. Comprehensive cross-sectional and longitudinal analyses of plasma neurofilament light across FTD spectrum disorders. Cell Rep Med. 2022;3(4):100607.","journal-title":"Cell Rep Med"},{"issue":"17","key":"3728_CR12","doi-asserted-by":"publisher","first-page":"6904","DOI":"10.18632\/aging.102220","volume":"11","author":"H Hu","year":"2019","unstructured":"Hu H, Chen KL, Ou YN, Cao XP, Chen SD, Cui M, et al. Neurofilament light chain plasma concentration predicts neurodegeneration and clinical progression in nondemented elderly adults. Aging. 2019;11(17):6904\u201314.","journal-title":"Aging"},{"issue":"7","key":"3728_CR13","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1001\/jamaneurol.2019.0765","volume":"76","author":"N Mattsson","year":"2019","unstructured":"Mattsson N, Cullen NC, Andreasson U, Zetterberg H, Blennow K. Association between Longitudinal plasma neurofilament light and neurodegeneration in patients with Alzheimer Disease. JAMA Neurol. 2019;76(7):791\u20139.","journal-title":"JAMA Neurol"},{"issue":"12","key":"3728_CR14","doi-asserted-by":"publisher","first-page":"3793","DOI":"10.1093\/brain\/awaa342","volume":"143","author":"AL Benedet","year":"2020","unstructured":"Benedet AL, Leuzy A, Pascoal TA, Ashton NJ, Mathotaarachchi S, Savard M, et al. Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer\u2019s disease. Brain. 2020;143(12):3793\u2013804.","journal-title":"Brain"},{"issue":"10","key":"3728_CR15","doi-asserted-by":"publisher","first-page":"2363","DOI":"10.1007\/s40520-022-02095-y","volume":"34","author":"F Nabizadeh","year":"2022","unstructured":"Nabizadeh F, Balabandian M, Rostami MR, Kankam SB, Ranjbaran F, Pourhamzeh M. Plasma neurofilament light levels correlate with white matter damage prior to Alzheimer\u2019s disease: results from ADNI. Aging Clin Exp Res. 2022;34(10):2363\u201372.","journal-title":"Aging Clin Exp Res"},{"issue":"1","key":"3728_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1159\/000100355","volume":"4","author":"VH Finder","year":"2007","unstructured":"Finder VH, Glockshuber R. Amyloid-beta aggregation. Neurodegener Dis. 2007;4(1):13\u201327.","journal-title":"Neurodegener Dis"},{"issue":"1","key":"3728_CR17","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/S1474-4422(09)70299-6","volume":"9","author":"CR Jack Jr","year":"2010","unstructured":"Jack CR Jr., Knopman DS, Jagust WJ, Shaw LM, Aisen PS, Weiner MW, et al. Hypothetical model of dynamic biomarkers of the Alzheimer\u2019s pathological cascade. Lancet Neurol. 2010;9(1):119\u201328.","journal-title":"Lancet Neurol"},{"issue":"1","key":"3728_CR18","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1186\/s40478-019-0795-2","volume":"7","author":"CD Whelan","year":"2019","unstructured":"Whelan CD, Mattsson N, Nagle MW, Vijayaraghavan S, Hyde C, Janelidze S, et al. Multiplex proteomics identifies novel CSF and plasma biomarkers of early Alzheimer\u2019s disease. Acta Neuropathol Commun. 2019;7(1):169.","journal-title":"Acta Neuropathol Commun"},{"issue":"Suppl 1","key":"3728_CR19","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1111\/jnp.12218","volume":"15","author":"L Alves","year":"2021","unstructured":"Alves L, Cardoso S, Silva D, Mendes T, Mar\u00f4co J, Nogueira J, et al. Neuropsychological profile of amyloid-positive versus amyloid-negative amnestic mild cognitive impairment. J Neuropsychol. 2021;15(Suppl 1):41\u201352.","journal-title":"J Neuropsychol"},{"issue":"3","key":"3728_CR20","doi-asserted-by":"publisher","first-page":"378","DOI":"10.2967\/jnumed.111.090340","volume":"53","author":"AD Joshi","year":"2012","unstructured":"Joshi AD, Pontecorvo MJ, Clark CM, Carpenter AP, Jennings DL, Sadowsky CH, et al. Performance characteristics of amyloid PET with florbetapir F 18 in patients with alzheimer\u2019s disease and cognitively normal subjects. J Nucl Med. 2012;53(3):378\u201384.","journal-title":"J Nucl Med"},{"issue":"4","key":"3728_CR21","doi-asserted-by":"publisher","first-page":"567","DOI":"10.2967\/jnumed.114.148981","volume":"56","author":"SM Landau","year":"2015","unstructured":"Landau SM, Fero A, Baker SL, Koeppe R, Mintun M, Chen K, et al. Measurement of longitudinal \u03b2-amyloid change with 18F-florbetapir PET and standardized uptake value ratios. J Nucl Med. 2015;56(4):567\u201374.","journal-title":"J Nucl Med"},{"issue":"4","key":"3728_CR22","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1002\/ana.21610","volume":"65","author":"LM Shaw","year":"2009","unstructured":"Shaw LM, Vanderstichele H, Knapik-Czajka M, Clark CM, Aisen PS, Petersen RC, et al. Cerebrospinal fluid biomarker signature in Alzheimer\u2019s disease neuroimaging initiative subjects. Ann Neurol. 2009;65(4):403\u201313.","journal-title":"Ann Neurol"},{"issue":"8","key":"3728_CR23","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1001\/archneurol.2010.179","volume":"67","author":"G De Meyer","year":"2010","unstructured":"De Meyer G, Shapiro F, Vanderstichele H, Vanmechelen E, Engelborghs S, De Deyn PP, et al. Diagnosis-independent Alzheimer disease biomarker signature in cognitively normal elderly people. Arch Neurol. 2010;67(8):949\u201356.","journal-title":"Arch Neurol"},{"issue":"2","key":"3728_CR24","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.jalz.2010.08.230","volume":"7","author":"SD Weigand","year":"2011","unstructured":"Weigand SD, Vemuri P, Wiste HJ, Senjem ML, Pankratz VS, Aisen PS, et al. Transforming cerebrospinal fluid A\u03b242 measures into calculated Pittsburgh compound B units of brain A\u03b2 amyloid. Alzheimers Dement. 2011;7(2):133\u201341.","journal-title":"Alzheimers Dement"},{"issue":"5","key":"3728_CR25","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1001\/jamaneurol.2016.6117","volume":"74","author":"N Mattsson","year":"2017","unstructured":"Mattsson N, Andreasson U, Zetterberg H, Blennow K. Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer Disease. JAMA Neurol. 2017;74(5):557\u201366.","journal-title":"JAMA Neurol"},{"key":"3728_CR26","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.neuroimage.2016.02.042","volume":"132","author":"DN Greve","year":"2016","unstructured":"Greve DN, Salat DH, Bowen SL, Izquierdo-Garcia D, Schultz AP, Catana C, et al. Different partial volume correction methods lead to different conclusions: an (18)F-FDG-PET study of aging. NeuroImage. 2016;132:334\u201343.","journal-title":"NeuroImage"},{"key":"3728_CR27","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.neuroimage.2013.12.021","volume":"92","author":"DN Greve","year":"2014","unstructured":"Greve DN, Svarer C, Fisher PM, Feng L, Hansen AE, Baare W, et al. Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data. NeuroImage. 2014;92:225\u201336.","journal-title":"NeuroImage"},{"issue":"3","key":"3728_CR28","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","volume":"33","author":"B Fischl","year":"2002","unstructured":"Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33(3):341\u201355.","journal-title":"Neuron"},{"issue":"1","key":"3728_CR29","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1093\/cercor\/bhg087","volume":"14","author":"B Fischl","year":"2004","unstructured":"Fischl B, van der Kouwe A, Destrieux C, Halgren E, S\u00e9gonne F, Salat DH, et al. Automatically parcellating the human cerebral cortex. Cereb Cortex. 2004;14(1):11\u201322.","journal-title":"Cereb Cortex"},{"issue":"3","key":"3728_CR30","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","volume":"31","author":"RS Desikan","year":"2006","unstructured":"Desikan RS, S\u00e9gonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage. 2006;31(3):968\u201380.","journal-title":"NeuroImage"},{"issue":"6","key":"3728_CR31","doi-asserted-by":"publisher","first-page":"2149","DOI":"10.1093\/brain\/awac138","volume":"145","author":"SS Shahid","year":"2022","unstructured":"Shahid SS, Wen Q, Risacher SL, Farlow MR, Unverzagt FW, Apostolova LG, et al. Hippocampal-subfield microstructures and their relation to plasma biomarkers in Alzheimer\u2019s disease. Brain. 2022;145(6):2149\u201360.","journal-title":"Brain"},{"issue":"2","key":"3728_CR32","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1038\/mp.2016.37","volume":"22","author":"TA Pascoal","year":"2017","unstructured":"Pascoal TA, Mathotaarachchi S, Mohades S, Benedet AL, Chung CO, Shin M, et al. Amyloid-\u03b2 and hyperphosphorylated tau synergy drives metabolic decline in preclinical Alzheimer\u2019s disease. Mol Psychiatry. 2017;22(2):306\u201311.","journal-title":"Mol Psychiatry"},{"issue":"3","key":"3728_CR33","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.jalz.2016.08.005","volume":"13","author":"CR Jack Jr","year":"2017","unstructured":"Jack CR Jr., Wiste HJ, Weigand SD, Therneau TM, Lowe VJ, Knopman DS, et al. Defining imaging biomarker cut points for brain aging and Alzheimer\u2019s disease. Alzheimers Dement. 2017;13(3):205\u201316.","journal-title":"Alzheimers Dement"},{"issue":"4","key":"3728_CR34","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1016\/j.neuroimage.2005.08.040","volume":"29","author":"U B\u00fcrgel","year":"2006","unstructured":"B\u00fcrgel U, Amunts K, Hoemke L, Mohlberg H, Gilsbach JM, Zilles K. White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability. NeuroImage. 2006;29(4):1092\u2013105.","journal-title":"NeuroImage"},{"issue":"11","key":"3728_CR35","doi-asserted-by":"publisher","first-page":"1356","DOI":"10.1176\/ajp.141.11.1356","volume":"141","author":"WG Rosen","year":"1984","unstructured":"Rosen WG, Mohs RC, Davis KL. A new rating scale for Alzheimer\u2019s disease. Am J Psychiatry. 1984;141(11):1356\u201364.","journal-title":"Am J Psychiatry"},{"issue":"1","key":"3728_CR36","doi-asserted-by":"publisher","first-page":"3400","DOI":"10.1038\/s41467-021-23620-z","volume":"12","author":"NJ Ashton","year":"2021","unstructured":"Ashton NJ, Janelidze S, Al Khleifat A, Leuzy A, van der Ende EL, Karikari TK, et al. A multicentre validation study of the diagnostic value of plasma neurofilament light. Nat Commun. 2021;12(1):3400.","journal-title":"Nat Commun"},{"issue":"4","key":"3728_CR37","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1016\/j.neuroimage.2010.06.041","volume":"53","author":"A Zalesky","year":"2010","unstructured":"Zalesky A, Fornito A, Bullmore ET. Network-based statistic: identifying differences in brain networks. NeuroImage. 2010;53(4):1197\u2013207.","journal-title":"NeuroImage"},{"issue":"10","key":"3728_CR38","doi-asserted-by":"publisher","first-page":"5989","DOI":"10.1038\/s41380-020-0818-1","volume":"26","author":"MS Kang","year":"2021","unstructured":"Kang MS, Aliaga AA, Shin M, Mathotaarachchi S, Benedet AL, Pascoal TA, et al. Amyloid-beta modulates the association between neurofilament light chain and brain atrophy in Alzheimer\u2019s disease. Mol Psychiatry. 2021;26(10):5989\u20136001.","journal-title":"Mol Psychiatry"},{"issue":"4","key":"3728_CR39","doi-asserted-by":"publisher","first-page":"861","DOI":"10.31083\/j.jin2004088","volume":"20","author":"Y Chen","year":"2021","unstructured":"Chen Y, Therriault J, Luo J, Ba M, Zhang H, Initiative ADN. Neurofilament light as a biomarker of axonal degeneration in patients with mild cognitive impairment and Alzheimer\u2019s disease. J Integr Neurosci. 2021;20(4):861\u201370.","journal-title":"J Integr Neurosci"},{"key":"3728_CR40","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1016\/j.dadm.2019.08.002","volume":"11","author":"AL Benedet","year":"2019","unstructured":"Benedet AL, Ashton NJ, Pascoal TA, Leuzy A, Mathotaarachchi S, Kang MS, et al. Plasma neurofilament light associates with Alzheimer\u2019s disease metabolic decline in amyloid-positive individuals. Alzheimers Dement (Amst). 2019;11:679\u201389.","journal-title":"Alzheimers Dement (Amst)"},{"key":"3728_CR41","unstructured":"Wheelock MD, Strain JF, Mansfield P, Tu JC, Tanenbaum A, Preische O et al. Brain network decoupling with increased serum neurofilament and reduced cognitive function in Alzheimer\u2019s disease. Brain. 2023."},{"issue":"3","key":"3728_CR42","doi-asserted-by":"publisher","first-page":"e252","DOI":"10.1212\/WNL.0000000000007767","volume":"93","author":"MM Mielke","year":"2019","unstructured":"Mielke MM, Syrjanen JA, Blennow K, Zetterberg H, Vemuri P, Skoog I, et al. Plasma and CSF neurofilament light: relation to longitudinal neuroimaging and cognitive measures. Neurology. 2019;93(3):e252\u201360.","journal-title":"Neurology"},{"issue":"12","key":"3728_CR43","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1136\/jnnp-2020-325537","volume":"92","author":"BS Rauchmann","year":"2021","unstructured":"Rauchmann BS, Schneider-Axmann T, Perneczky R. Associations of longitudinal plasma p-tau181 and NfL with tau-PET, A\u03b2-PET and cognition. J Neurol Neurosurg Psychiatry. 2021;92(12):1289\u201395.","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"3728_CR44","doi-asserted-by":"crossref","unstructured":"Park JE, Gunasekaran TI, Cho YH, Choi SM, Song MK, Cho SH et al. Diagnostic Blood Biomarkers in Alzheimer\u2019s Disease. Biomedicines. 2022;10(1).","DOI":"10.3390\/biomedicines10010169"},{"issue":"4","key":"3728_CR45","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1001\/jamaneurol.2020.4986","volume":"78","author":"A Moscoso","year":"2021","unstructured":"Moscoso A, Grothe MJ, Ashton NJ, Karikari TK, Lantero Rodr\u00edguez J, Snellman A, et al. Longitudinal associations of blood phosphorylated Tau181 and neurofilament light chain with neurodegeneration in Alzheimer Disease. JAMA Neurol. 2021;78(4):396\u2013406.","journal-title":"JAMA Neurol"},{"issue":"4","key":"3728_CR46","doi-asserted-by":"publisher","first-page":"1220","DOI":"10.1093\/brain\/awaa054","volume":"143","author":"F de Wolf","year":"2020","unstructured":"de Wolf F, Ghanbari M, Licher S, McRae-McKee K, Gras L, Weverling GJ, et al. Plasma tau, neurofilament light chain and amyloid-\u03b2 levels and risk of dementia; a population-based cohort study. Brain. 2020;143(4):1220\u201332.","journal-title":"Brain"},{"issue":"2","key":"3728_CR47","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1097\/WCO.0000000000000904","volume":"34","author":"A Leuzy","year":"2021","unstructured":"Leuzy A, Cullen NC, Mattsson-Carlgren N, Hansson O. Current advances in plasma and cerebrospinal fluid biomarkers in Alzheimer\u2019s disease. Curr Opin Neurol. 2021;34(2):266\u201374.","journal-title":"Curr Opin Neurol"},{"issue":"1","key":"3728_CR48","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/s40478-018-0649-3","volume":"7","author":"NJ Ashton","year":"2019","unstructured":"Ashton NJ, Leuzy A, Lim YM, Troakes C, Hortob\u00e1gyi T, H\u00f6glund K, et al. Increased plasma neurofilament light chain concentration correlates with severity of post-mortem neurofibrillary tangle pathology and neurodegeneration. Acta Neuropathol Commun. 2019;7(1):5.","journal-title":"Acta Neuropathol Commun"},{"issue":"1","key":"3728_CR49","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1186\/s13195-018-0439-y","volume":"10","author":"R S\u00e1nchez-Valle","year":"2018","unstructured":"S\u00e1nchez-Valle R, Heslegrave A, Foiani MS, Bosch B, Antonell A, Balasa M, et al. Serum neurofilament light levels correlate with severity measures and neurodegeneration markers in autosomal dominant Alzheimer\u2019s disease. Alzheimers Res Ther. 2018;10(1):113.","journal-title":"Alzheimers Res Ther"},{"issue":"6","key":"3728_CR50","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/S1474-4422(20)30137-X","volume":"19","author":"YT Quiroz","year":"2020","unstructured":"Quiroz YT, Zetterberg H, Reiman EM, Chen Y, Su Y, Fox-Fuller JT, et al. Plasma neurofilament light chain in the presenilin 1 E280A autosomal dominant Alzheimer\u2019s disease kindred: a cross-sectional and longitudinal cohort study. Lancet Neurol. 2020;19(6):513\u201321.","journal-title":"Lancet Neurol"},{"issue":"4","key":"3728_CR51","doi-asserted-by":"publisher","first-page":"e032134","DOI":"10.1161\/JAHA.123.032134","volume":"13","author":"EL Twait","year":"2024","unstructured":"Twait EL, Gerritsen L, Moonen JEF, Verberk IMW, Teunissen CE, Visser PJ, et al. Plasma markers of Alzheimer\u2019s Disease Pathology, neuronal Injury, and Astrocytic activation and MRI load of Vascular Pathology and Neurodegeneration: the SMART-MR Study. J Am Heart Assoc. 2024;13(4):e032134.","journal-title":"J Am Heart Assoc"},{"issue":"14","key":"3728_CR52","doi-asserted-by":"publisher","first-page":"eadk3674","DOI":"10.1126\/sciadv.adk3674","volume":"10","author":"F Shue","year":"2024","unstructured":"Shue F, White LJ, Hendrix R, Ulrich J, Henson RL, Knight W, et al. CSF biomarkers of immune activation and Alzheimer\u2019s disease for predicting cognitive impairment risk in the elderly. Sci Adv. 2024;10(14):eadk3674.","journal-title":"Sci Adv"},{"issue":"1","key":"3728_CR53","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1186\/s13195-024-01409-8","volume":"16","author":"S Das","year":"2024","unstructured":"Das S, van Engelen ME, Goossens J, Jacobs D, Bongers B, Fieldhouse JLP, et al. The use of synaptic biomarkers in cerebrospinal fluid to differentiate behavioral variant of frontotemporal dementia from primary psychiatric disorders and Alzheimer\u2019s disease. Alzheimers Res Ther. 2024;16(1):34.","journal-title":"Alzheimers Res Ther"},{"issue":"2","key":"3728_CR54","doi-asserted-by":"publisher","first-page":"505","DOI":"10.3233\/JAD-220475","volume":"89","author":"W Yao","year":"2022","unstructured":"Yao W, Zhang X, Zhao H, Xu Y, Bai F. Inflammation disrupts cognitive Integrity via plasma neurofilament light chain coupling brain networks in Alzheimer\u2019s Disease. J Alzheimers Dis. 2022;89(2):505\u201318.","journal-title":"J Alzheimers Dis"},{"issue":"3","key":"3728_CR55","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1161\/STROKEAHA.120.030302","volume":"52","author":"Y Qu","year":"2021","unstructured":"Qu Y, Tan CC, Shen XN, Li HQ, Cui M, Tan L, et al. Association of plasma neurofilament light with small Vessel Disease Burden in Nondemented Elderly: a longitudinal study. Stroke. 2021;52(3):896\u2013904.","journal-title":"Stroke"}],"container-title":["BMC Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12883-024-03728-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12883-024-03728-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12883-024-03728-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T07:03:48Z","timestamp":1720249428000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcneurol.biomedcentral.com\/articles\/10.1186\/s12883-024-03728-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,6]]},"references-count":55,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["3728"],"URL":"https:\/\/doi.org\/10.1186\/s12883-024-03728-7","relation":{},"ISSN":["1471-2377"],"issn-type":[{"value":"1471-2377","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,6]]},"assertion":[{"value":"10 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Ethical approval was not provided for this study on human participants because data used in the preparation of this article were obtained from the ADNI. The Alzheimer\u2019s Disease Neuroimaging Initiative (ADNI) was approved by the institutional review boards of all participating ADNI sites reviewed and approved the data collection protocol provided by ADNI. Ethics approval was obtained from the institutional review boards of each institution involved: Oregon Health and Science University; University of Southern California; University of California\u2014San Diego; University of Michigan; Mayo Clinic, Rochester; Baylor College of Medicine; Columbia University Medical Center; Washington University, St. Louis; University of Alabama at Birmingham; Mount Sinai School of Medicine; Rush University Medical Center; Wien Center; Johns Hopkins University; New York University; Duke University Medical Center; University of Pennsylvania; University of Kentucky; University of Pittsburgh; University of Rochester Medical Center; University of California, Irvine; University of Texas Southwestern Medical School; Emory University; University of Kansas, Medical Center; University of California, Los Angeles; Mayo Clinic, Jacksonville; Indiana University; Yale University School of Medicine; McGill University, Montreal-Jewish General Hospital; Sunnybrook Health Sciences, Ontario; U.B.C. Clinic for AD & Related Disorders; Cognitive Neurology\u2014St. Joseph\u2019s, Ontario; Cleveland Clinic Lou Ruvo Center for Brain Health; Northwestern University; Premiere Research Inst (Palm Beach Neurology); Georgetown University Medical Center; Brigham and Women\u2019s Hospital; Stanford University; Banner Sun Health Research Institute; Boston University; Howard University; Case Western Reserve University; University of California, Davis\u2014Sacramento; Neurological Care of CNY; Parkwood Hospital; University of Wisconsin; University of California, Irvine\u2014BIC; Banner Alzheimer\u2019s Institute; Dent Neurologic Institute; Ohio State University; Albany Medical College; Hartford Hospital, Olin Neuropsychiatry Research Center; Dartmouth-Hitchcock Medical Center; Wake Forest University Health Sciences; Rhode Island Hospital; Butler Hospital; UC San Francisco; Medical University South Carolina; St. Joseph\u2019s Health Care Nathan Kline Institute; University of Iowa College of Medicine; Cornell University; and University of South Florida: USF Health Byrd Alzheimer\u2019s Institute. For up-to-date information, see .","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"236"}}