The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
The pathological process underlying Alzheimer’s disease in individuals under thirty
Abstract
Brains of 42 individuals between the ages of 4 and 29 were examined with antibodies (AT8, 4G8) and silver stains for the presence of intraneuronal and extracellular protein aggregates associated with Alzheimer's disease. Thirty-eight of 42 (38/42) cases displayed abnormally phosphorylated tau protein (pretangle material) in nerve cells or in portions of their cellular processes, and 41/42 individuals showed no extracellular amyloid-β protein deposition or neuritic plaques-an individual with Down syndrome was the only exception. In 16/42 cases abnormal tau was found in the transentorhinal region, and in 3/42 cases this site was Gallyas-positive for isolated NFTs (NFT stage I). Of 26 cases that lacked abnormal tau in the transentorhinal region, 4 did not show pretangle material at subcortical sites. The remaining 22 of these same 26 cases, however, had subcortical lesions confined to non-thalamic nuclei with diffuse projections to the cerebral cortex, and, remarkably, in 19/22 individuals the pretangle material was confined to the noradrenergic coeruleus/subcoeruleus complex. Assuming the pretangle alterations are not transient and do not regress, these findings may indicate that the Alzheimer's disease-related pathological process leading to neurofibrillary tangle formation does not begin in the cerebral cortex but, rather, in select subcortical nuclei, and it may start quite early, i.e., before puberty or in early young adulthood.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Recently, it has been reported that NFTs are also very common in certain brainstem nuclei in subjects without dementia (39-44).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [39]
In the citing paper
“At 40 years, all individuals studied by Braak and Del Tredici (39) and Braak et al (44) exhibited at least initial neurofibrillary pathology in the brainstem (Fig. 5).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [39]
In the citing paper
“Neurofibrillary pathology is observed in the human brain long before Aβ plaques develop (39, 44, 300).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [39]
In the citing paper
“Although some studies have interpreted phosphorylated tau abnormalities in the locus coeruleus to be an early stage of AD pathology [15], young control subjects were not screened for a history of exposure to mTBI despite the fact that mTBI is common among young individuals and that 17 % of the control subjects died from acute trauma or accidental death.”
From The neuropathology of sport (2014) · cites this paper as [15]
In the citing paper
“The focal collections of perivascular NFTs in the depths of the cortical sulci in CTE [65, 66, 126–128] differ substantially from PHF-tau pathology of the Alzheimer type reported in some cognitively normal young adults [15], opiate abusers [4], and non-demented elderly subjects such as those in the Framingham Heart Study [6] or Honolulu Asian Aging Study [67, 194].”
From The neuropathology of sport (2014) · cites this paper as [15]
Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 7×
“Characteristic changes in the lesional distribution pattern are used to distinguish stages in the course of the process [1, 4, 13 , 18, 20, 51, 91].”
BackgroundMethodInfluentialSelf-citationThe Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777
Self-citationAlzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472
Gauthier, S. G., Reisberg, ., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094
Grundke-Iqbal, I., Iqbal, K., Tung, Y. C., Quinlan, M., Wisniewski, H. M., & Binder, L. I. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.13.4913 · Cited by 3,676
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490
Self-citationBraak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Braak H, Braak E, Yilmazer D, Schultz C, Bohl J (1995) Age-related changes of the human cerebral cortex. In: Cruz-Sanchez FF, Ravid R, Cuzner ML (eds) Neuropathologic diagnostic criteria for brain banking. IOS Press, Amsterdam, pp 14–19
Cited by
Sorted by citations
Items 701–800 of 813
Revisit the Cellular Transmission and Emerging Techniques in ProteinopathiesPreprint
Jiang, J., Liu, Y., & Wu, Q. (2021) · Preprints.org · doi:10.20944/preprints202109.0376.v1
Koshmanova, E., Berger, A., Beckers, E., Campbell, I., Mortazavi, N., Sharifpour, R., Paparella, I., Balda, F., Berthomier, C., Degueldre, C., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.10.527974 · Cited by 1
Mieling, M., Göttlich, M., Yousuf, M., Bunzeck, N., & Initative, T. A. D. N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.28.534523 · Cited by 1
Aberrant medial entorhinal cortex dynamics link tau pathology to spatial memory impairmentPreprint
Malone, T. J., Cekada, K., Tyan, J., Chen, L., Wang, G., & Gu, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.30.696887 · Cited by 1
Headbutting goats self-inflict traumatic brain injuryPreprint
Oyadeyi, A., Smith, C., Willeford, B. V., Grissett-Hardwick, G., Fizzano, K. M., Ws, R., Sorace, A. G., Osborne, A., Samuel, S., Campbell, I., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.26.734585 · Cited by 1
The 2013 Incentive Award of the Okayama Medical Association in Neuroscience (2013 Niimi Prize)
Oshima, E. (2014) · Okayama Igakkai Zasshi (Journal of Okayama Medical Association) · doi:10.4044/joma.126.99
Balasa, M. (2013) · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
Molecular Mechanisms of Tau Protein Aggregation Inhibition
Akoury, E. (2013) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-4145
PL‐03‐03: Prion‐like properties of assembled tau protein
Goedert, M., Clavaguera, F., & Tolnay, M. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.2356
Mouse and stem cell models of frontotemporal dementia
Orr, M. E. (2012) · Montana State University ScholarWorks (Montana State University)
Kou, J., Forss‐Petter, S., Berger, J., Kovács, G. G., Budka, H., Gleiß, A., Fischer, J. P., & Boltzmann, L. (2011)
UBB+1, an important switch in the onset of Alzheimer’s disease
Gentier, R. J. G. (2015) · Research Publications (Maastricht University) · doi:10.26481/dis.20151105rg
Approach for Alzheimer's Disease
Tian, H. (2014)
Phenotypic Impact of Genetic Risk Pathways for Alzheimer's Disease
Felsky, D. (2016) · TSpace (University of Toronto)
Protein Aggregation and Neurodegeneration: Tauopathies and Synucleinopathies
Goedert, M. (2017) · Neurodegeneration · doi:10.1002/9781118661895.ch2
ERP-based Detection of Brain Pathology in Rat Models for Preclinical Alzheimer's Disease
Nouriziabari, S. B. (2016) · TSpace (University of Toronto)
Biomarker für die Alzheimer-Erkrankung in der klinischen Praxis
Polivka, D., & Arnim, C. A. F. V. (2016) · NeuroTransmitter · doi:10.1007/s15016-016-5395-9
Methods for Pathological Classification of Alzheimer’s Disease
Attems, J., McAleese, K. E., & Walker, L. (2018) · Neuromethods · doi:10.1007/978-1-4939-7674-4_5
Development and characterization of cell models of tau aggregation
Cavallini, A. (2018) · UCL Discovery (University College London)
Begcevic, I. (2018) · TSpace (University of Toronto)
Fact, Fiction, or Evolution: Mechanism Hypothesis of Alzheimer’s Disease
Pardo, J. V. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.83824
Handicap intellectuel et perte d’autonomie du vieillissement : risque individuel, menace sociétale
Hauw, J., & Vayre, P. (2012) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)31754-6
Dhénain, M. (2015) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30893-3
No evidence of a longitudinal association between diurnal cortisol patterns and cognition q
Singh‐Manoux, A., Dugravot, A., Elbaz, A., Shipley, M. J., Mika Kivimaki, B., & Meena Kumari, B. (2014)
The interactive impact of omega-3 fatty acids, APOE genotype and sex hormones on cognition
Pontifex, M. G. (2020) · UEA Digital Repository (University of East Anglia)
ROLE OF PATHOGENIC PROTEINS AND CHRONIC INFLAMMATION IN THE OCCURRENCE OF ALZHEIMER'S DISEASE
Denysenko, A., Haikova, O. O., & Moskalenko, R. (2020) · Eastern Ukrainian Medical Journal · doi:10.21272/eumj.2020;8(4):475-490
ADAM10 as a biomarker for Alzheimer’s disease
de Almeida, M. L., Vatanabe, I. P., Manzine, P. R., Peron, R., Júnior, C. R. B., & Cominetti, M. R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818000-6.00023-8
Spatial Extent of Amyloid-β Levels and Associations with Alzheimer’s Disease BiomarkersPreprint
Ozlen, H., Binette, A. P., Köbe, T., Meyer, P., Breitner, J. C. S., Poirier, J., & Villeneuve, S. (2021) · Research Square · doi:10.21203/rs.3.rs-711524/v1
Jester, H. M., Gosrani, S. P., Ding, H., Zhou, X., Ko, M., & Ma, T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.21.453246
実験核物理領域,理論核物理領域「LHCとRHICの競演が拓く新世代のクォーク・グルーオン・プラズマ物性」(2012年秋季大会シンポジウムの報告,学会報告)
佐藤, 進. (2013) · 日本物理學會誌
Multi-omic analysis of the aging mouse brain
Kluever, V. (2021) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9022
de Haan, W. (2012) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)
Davies, E. S., Morphew, R. M., Cutress, D. J., Morton, A. J., & McBride, S. D. (2022) · Research Square · doi:10.21203/rs.3.rs-1419996/v1
Hernandez, A. C. M. (2011) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-3555
Disruption of circadian clocks promote progression of Alzheimer's disease in diabetic micePreprint
Huang, J., Peng, X., Fan, R., Dong, K., Shi, X., Zhang, S., Yu, X., & Yang, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-235837/v1
Axonal Transport and Neurodegenerative Diseases☆
Roy, S., Irwin, D. J., Lee, V. M.-Y., & Trojanowski, J. Q. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.04517-7
Ashford, J. W. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734280398.793553881
Nanoskalauntersuchungen vom zellulären Metabolismus mittels Sekundärionen-Massenspektrometrie
Karsten, L. (2022) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9484
The CircRNAs for Diagnostic, Prognostic, and Therapy in Alzheimer’s Disease
Cabrera-Reyes, E. A., Jiménez-Acosta, M. A., Padilla-Cristerna, M. L., & Meraz‐Ríos, M. A. (2022) · Advances in Bioscience and Biotechnology · doi:10.4236/abb.2022.1312035
Schröder, H., de Vos, R. A. I., Huggenberger, S., Müller-Thomsen, L., Rozemüller, A. J. M., Hedayat, F., & Moser, N. (2023) · Springer eBooks · doi:10.1007/978-3-030-89980-6_13
Joshi, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00077-2 · Cited by 1
Koulousakis, P. (2024) · Research Publications (Maastricht University) · doi:10.26481/dis.20240523pk
Invited Perspective: Blue Skies and Alzheimer’s Disease
Linnman, C. (2024) · Environmental Health Perspectives · doi:10.1289/ehp15478
Biljman, K., Gozes, I., Lam, J. C. K., & Li, V. O. K. (2024) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823241307617
Application of consensus criteria
Castellani, R. J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-323-99651-8.00014-4
Castellani, R. J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-323-99651-8.00008-9
Lancaster, T. M., Murphy, K., & Chandler, H. L. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01829-0
Kron, J. O.-Z. J., Daykin, H. J., Metha, J. A., Potts, Y., Walker, L. C., Allocca, G., Keenan, R. J., Hoyer, D., & Jacobson, L. H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5374075
Wang, Y., Zhang, Q.-L., Zhou, P., Tu, T., Sun, Z.-P., Zhang, X.-J., Tu, E., Chen, H., Cheng, H., Pan, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.16.670658
α2A-AR–Kv dysfunction drives LC hyperactivity and early sleep disturbance in amyloidogenic micePreprint
Zhang, Y.-C., Zhang, X., Chen, P., Zhou, Z.-Y., Huang, M.-Q., & He, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.26.678734
Natural L-Hexapeptides with Therapeutic Potential for Alzheimer’s Disease and Tauopathies
Larralde, C., Pradeau-Phélut, L., Alves, S. L., Percevault, F., Primig, M., Huclier‐Markai, S., & Garnier, C. (2025) · ACS Omega · doi:10.1021/acsomega.5c06191
Kim, J. P., Lee, H., Kim, B., Nho, K. T., Risacher, S. L., Saykin, A. J., Seo, S. W., & Kim, H. (2025) · Dementia and Neurocognitive Disorders · doi:10.12779/dnd.2025.24.4.246
Neurotransmitters and Neuromodulators in Dementia
Martínez, N. F., Lew, C. H., López, A. S., Petersen, C., & Grinberg, L. T. (2025) · Cambridge University Press eBooks · doi:10.1017/9781108985055.005
Preoperative Cholinergic Signatures Drive Segregated Brain Architecture in Postoperative DeliriumPreprint
Taylor, N. L., Munn, B., Gjini, K., Orlando, I. F., Moran, B., Taylor, J., Wehrman, J., Banks, M. I., Nair, V. A., Pearce, R. A., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7881643/v1
Arastoo, M., Penny, L. K., Lofthouse, R. A., Hitchcock, A., Moelders, A., Szalma, S., Porter, A. J., Palliyil, S., Harrington, C. R., & Wischik, C. M. (2025) · Scientific Reports · doi:10.1038/s41598-025-25864-x
Ma, S., Zang, T., Liu, M.-L., & Zhang, C.-L. (2020) · Figshare · doi:10.6084/m9.figshare.13126614
Egroo, M. V., van Hooren, R. W. E., & Jacobs, H. I. L. (2021) · Figshare · doi:10.6084/m9.figshare.16680108
Ma, S., Zang, T., Liu, M.-L., & Zhang, C.-L. (2020) · Figshare · doi:10.6084/m9.figshare.13126605
Additional file 3 of Mesial temporal tau in amyloid-β-negative cognitively normal older persons
Krishnadas, N., Doré, V., Groot, C., Lamb, F., Bourgeat, P., Burnham, S. C., Huang, K., Goh, A. M. Y., Masters, C. L., Villemagne, V. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19565845
Yokota, O., Miki, T., Nakashima‐Yasuda, H., Ishizu, H., Haraguchi, T., Ikeda, C., Hasegawa, M., Miyashita, A., Ikeuchi, T., Nishikawa, N., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26756329
Yokota, O., Miki, T., Nakashima‐Yasuda, H., Ishizu, H., Haraguchi, T., Ikeda, C., Hasegawa, M., Miyashita, A., Ikeuchi, T., Nishikawa, N., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26756332
Ma, S., Zang, T., Liu, M.-L., & Zhang, C.-L. (2020) · Figshare · doi:10.6084/m9.figshare.13126602
Additional file 5 of Mesial temporal tau in amyloid-β-negative cognitively normal older persons
Krishnadas, N., Doré, V., Groot, C., Lamb, F., Bourgeat, P., Burnham, S. C., Huang, K., Goh, A. M. Y., Masters, C. L., Villemagne, V. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19565851
Murray, M. E., Moloney, C. M., Kouri, N., Syrjanen, J. A., Matchett, B. J., Rothberg, D. M., Tranovich, J. F., Sirmans, T. N. H., Wiste, H. J., Boon, B. D. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26557766
Yokota, O., Miki, T., Nakashima‐Yasuda, H., Ishizu, H., Haraguchi, T., Ikeda, C., Hasegawa, M., Miyashita, A., Ikeuchi, T., Nishikawa, N., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26756326
Additional file 2 of Mesial temporal tau in amyloid-β-negative cognitively normal older persons
Krishnadas, N., Doré, V., Groot, C., Lamb, F., Bourgeat, P., Burnham, S. C., Huang, K., Goh, A. M. Y., Masters, C. L., Villemagne, V. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19565842
Yokota, O., Miki, T., Nakashima‐Yasuda, H., Ishizu, H., Haraguchi, T., Ikeda, C., Hasegawa, M., Miyashita, A., Ikeuchi, T., Nishikawa, N., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26756335
Additional file 1 of Mesial temporal tau in amyloid-β-negative cognitively normal older persons
Krishnadas, N., Doré, V., Groot, C., Lamb, F., Bourgeat, P., Burnham, S. C., Huang, K., Goh, A. M. Y., Masters, C. L., Villemagne, V. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19565839
Additional file 4 of Mesial temporal tau in amyloid-β-negative cognitively normal older persons
Krishnadas, N., Doré, V., Groot, C., Lamb, F., Bourgeat, P., Burnham, S. C., Huang, K., Goh, A. M. Y., Masters, C. L., Villemagne, V. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19565848
Ma, S., Zang, T., Liu, M.-L., & Zhang, C.-L. (2020) · Figshare · doi:10.6084/m9.figshare.13126611
Ma, S., Zang, T., Liu, M.-L., & Zhang, C.-L. (2020) · Figshare · doi:10.6084/m9.figshare.13126617
Yokota, O., Miki, T., Nakashima‐Yasuda, H., Ishizu, H., Haraguchi, T., Ikeda, C., Hasegawa, M., Miyashita, A., Ikeuchi, T., Nishikawa, N., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26756323
Additional file 1 of Synaptic tau: A pathological or physiological phenomenon?
Robbins, M., Clayton, E. L., & Schierle, G. S. K. (2021) · Figshare · doi:10.6084/m9.figshare.16599510
Additional file 6 of Mesial temporal tau in amyloid-β-negative cognitively normal older persons
Krishnadas, N., Doré, V., Groot, C., Lamb, F., Bourgeat, P., Burnham, S. C., Huang, K., Goh, A. M. Y., Masters, C. L., Villemagne, V. L., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19565854
Ma, S., Zang, T., Liu, M.-L., & Zhang, C.-L. (2020) · Figshare · doi:10.6084/m9.figshare.13126608
Mechanisms of Dural Involvement in Cerebral Amyloid Angiopathy
Zedde, M., Piazza, F., & Pascarella, R. (2025) · Cells · doi:10.3390/cells15010026
Ando, K., Lopez‐Gutierrez, L., Mansour, S., Yilmaz, Z., Dauphinot, L., Verheijen, J., Fontaine, G., Quintanilla‐Sánchez, C., Aydin, E., Doeraene, E., et al. (2026) · Cells · doi:10.3390/cells15030235
Yang, Z., Cheng, L., Gan, H., Shi, M., Huang, Z., & Cheng, B. (2025) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm66473.2025.11356238
Wei, Z., Zhou, X., Li, B., Gu, J., Ge, L., Tang, F., Lin, M., & Jin, Y. (2026) · iScience · doi:10.1016/j.isci.2026.115222
Li, X., Zeng, X., Li, J., Zheng, Y., Tian, S., Wang, Z., Ma, C., Lin, Y., Lin, G., Zeng, Y., et al. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261431797
Age-related differences in memory encoding as a function of pupillary dynamics
CHIAPELLO, A. R., BUSCATO, E., Mescam, M., Berry, I., Pressigout, A., Alamia, A., & Rémy, F. (2026) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2026.03.007
Etude préclinique et clinique de la phase précoce de la maladie d'Alzheimer
Epelbaum, S. (2015) · theses.fr (ABES) · doi:10.70675/ea81e5c2z5032z4474z9f96z59f62125a629
Les nanotubes comme nouvelle voie de transfert et de propagation de la protéine Tau pathologique
Tardivel, M. (2017) · theses.fr (ABES) · doi:10.70675/0cfcd049z970ez4f2dz8417z195cfabdc00d
Linard, M. (2021) · theses.fr (ABES) · doi:10.70675/792b3731z2670z4aedza18ezcd3259857759
Studying the role of human Amyloid Precursor Protein (APP) during human cortical neurogenesis
Shabani, K. (2021) · theses.fr (ABES) · doi:10.70675/2deeb337z2d8ez4a8dzaf55z268de3428ac9
Disruption of circadian rhythms is associated with cognitive impairment during gestation
Li, S., Xu, J., Yue, H., Yin, J., Yuan, Y., Ni, S., Wang, H., Zhang, Y., Liao, X., Tao, J., et al. (2026) · Journal of Neuroendocrinology · doi:10.1111/jne.70178
Lei, S., Huang, Z. G., Wang, W., & Meng, Y. (2026) · Neuroprotection/Neuroprotection (Chichester, England. Print) · doi:10.1002/nep3.70037
Liu, J., Wang, Y., Cheng, G., Zhao, H., Hui, R., Li, M., Dang, Y., Liu, M., Guo, B., Su, S., et al. (2026) · Journal of Neurorestoratology · doi:10.1016/j.jnrt.2026.100301
Slow-wave sleep across the Alzheimer’s disease continuum: cognitive trajectories and sex differences
Tort‐Colet, N., Fernández‐Arcos, A., Mayà, G., Stankeviciute, L. S., Minguillón, C., Hernández, L., Knezevic, I., Soldevila‐Domenech, N., Sánchez‐Benavides, G., Kassinopoulos, M., et al. (2026) · Alzheimer s Research & Therapy · doi:10.21203/rs.3.rs-9844198/v1
Li, N., Peng, X., Xiong, W., Yang, C., & Wang, W. (2026) · Translational Neuroscience · doi:10.1515/tnsci-2025-0396
Dissociable structural and molecular pathways of age-related variability in sustained attentionPreprint
Subbulakshmi, S., Park, J., Rathmann-Bloch, J. E., Ward, T., Cheng, G. L., Miller, D. S., Schwartz, S. T., Sheng, J., Tran, T., Sha, S. J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.29.735429
Streit, W. J., Kuhrt, H., & Bechmann, I. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261470454
Hoffman, I. D.-V., Ross, J. A., Tumasz, M., THOMAS, S. A., & Bockstaele, E. J. V. (2026) · MedScience · doi:10.1007/s11684-026-1242-y
Metadata
- Authors
- Braak, H., & Del Tredici, K.
- Affiliations
- Universität Ulm (DE)
- Corresponding author
- Braak, Heiko
- ORCID
- Braak, Heiko
- Venue
- Acta Neuropathologica
- Published
- 2010-12-15
- Volume
- 121
- Issue
- 2
- Pages
- 171-181
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- OpenAlex
- W2081533023
- Cited by
- 812
- References
- 103
- Citations by year
- 2026: 42 · 2025: 43 · 2024: 58 · 2023: 39 · 2022: 55 · 2021: 74 · 2020: 61 · 2019: 52 · 2018: 51 · 2017: 41 · 2016: 57 · 2015: 52 · 2014: 55 · 2013: 49 · 2012: 45
- FWCI
- 27.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Acta Neuropathologica (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, young adults, tau phosphorylation, neurofibrillary tangles, amyloid-beta, neuritic plaques, subcortical nuclei, AT8 antibody, Down syndrome
- MeSH terms
- Adolescent, Adult, Alzheimer Disease, Brain, Child, Child, Preschool, DNA-Binding Proteins, Female, Humans, Male, Neurons, Phosphorylation, Retrospective Studies, Cohort Studies, Amyloid beta-Peptides, Neurofibrillary Tangles, tau Proteins, Ubiquitin, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
