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Alzheimer’s disease clinical variants show distinct regional patterns of neurofibrillary tangle accumulation

Petersen, Cathrine, Nolan, Amber L., de Paula França Resende, Elisa, Miller, Zachary, Ehrenberg, Alexander J., Gorno-Tempini, Maria Luisa, Rosen, Howard J., Kramer, Joel H., Spina, Salvatore, Rabinovici, Gil D., Miller, Bruce L., Seeley, William W., Heinsen, Helmut, Grinberg, Lea Tenenholz·2019·Acta Neuropathologica
DOI 10.1007/s00401-019-02036-6PMC PMC7012374

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  1. Ahmed S, De Jager CA, Haigh AMF, Garrard P (2012) Logopenic aphasia in Alzheimer’s disease: clinical variant or clinical feature? J Neurol Neurosurg Psychiatry 83:1056–1062. https://doi.org/10.1136/jnnp-2012-302798 · DOI
  2. Andrade-Moraes CH, Oliveira-Pinto AV, Castro-Fonseca E, da Silva CG, Guimaraes DM, Szczupak D et al (2013) Cell number changes in Alzheimer’s disease relate to dementia, not to plaques and tangles. Brain 136:3738–3752. https://doi.org/10.1093/brain/awt273 · DOI
  3. Berg L, McKeel DW, Miller JP, Storandt M, Rubin EH, Morris JC et al (1998) Clinicopathologic studies in cognitively healthy aging and Alzheimer disease: relation of histologic markers to dementia severity, age, sex, and apolipoprotein E genotype. Arch Neurol 55:326–335. https://doi.org/10.1001/archneur.55.3.326 · DOI · Paper page
  4. Brock G, Pihur V, Datta S, Datta S (2008) clValid: an R package for cluster validation. J Stat Softw 25:1–22. https://doi.org/10.18637/jss.v025.i04 · DOI
  5. Cairns NJ, Bigio EH, Mackenzie IRA, Neumann M, Lee VM-Y, Hatanpaa KJ et al (2007) Neuropathologic diagnostic and nosologic criteria for frontotemporal lobar degeneration: consensus of the Consortium for Frontotemporal Lobar Degeneration. Acta Neuropathol 114:5–22. https://doi.org/10.1007/s00401-007-0237-2 · DOI · Paper page
  6. Cattell RB (1966) The scree test for the number of factors. Multivariate Behav Res 1:245–276. https://doi.org/10.1207/s15327906mbr0102_10 · DOI · Paper page
  7. Cooper DC, Klipec WD, Fowler MA, Ozkan ED (2006) A role for the subiculum in the brain motivation/reward circuitry. Behav Brain Res 174:225–231. https://doi.org/10.1016/J.BBR.2006.05.036 · DOI
  8. Coughlin DG, Xie SX, Liang M, Williams A, Peterson C, Weintraub D et al (2018) Cognitive and pathological influences of tau pathology in Lewy body disorders. Ann Neurol 85:259–271. https://doi.org/10.1002/ana.25392 · DOI
  9. Crutch SJ, Lehmann M, Schott JM, Rabinovici GD, Rossor MN, Fox NC (2012) Posterior cortical atrophy. Lancet Neurol 11:170–178. https://doi.org/10.1016/S1474-4422(11)70289-7 · DOI
  10. Crutch SJ, Schott JM, Rabinovici GD, Murray M, Snowden JS, van der Flier WM et al (2017) Consensus classification of posterior cortical atrophy. Alzheimer’s Dement 13:870–884. https://doi.org/10.1016/j.jalz.2017.01.014 · DOI · Paper page
  11. Datta S, Datta S (2006) Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes. BMC Bioinform 7:397. https://doi.org/10.1186/1471-2105-7-397 · DOI
  12. Dickson DW, Bergeron C, Chin SS, Duyckaerts C, Horoupian D, Ikeda K et al (2002) Office of rare diseases neuropathologic criteria for corticobasal degeneration. J Neuropathol Exp Neurol 61:935–946. https://doi.org/10.1093/jnen/61.11.935 · DOI · Paper page
  13. Dubois B, Feldman HH, Jacova C, Hampel H, Molinuevo JL, Blennow K et al (2014) Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol 13:614–629. https://doi.org/10.1016/S1474-4422(14)70090-0 · DOI · Paper page
  14. Dunn LM, Dunn DM (2007) Peabody picture vocabulary test, PPVT-4. Eff Br mindfulness interval acute pain. Exp An Exam Individ Differ 10:10. https://doi.org/10.1017/cbo9781107415324.004 · DOI · Paper page
  15. van der Flier WM, Pijnenburg YAL, Fox NC, Scheltens P (2011) Early-onset versus late-onset Alzheimer’s disease: the case of the missing APOE ε4 allele. Lancet Neurol 10:280–288. https://doi.org/10.1016/S1474-4422(10)70306-9 · DOI
  16. Galton CJ, Patterson K, Xuereb JH, Hodges JR (2000) Atypical and typical presentations of Alzheimer’s disease: a clinical, neuropsychological, neuroimaging and pathological study of 13 cases. Brain 123(Pt 3):484–498 · DOI
  17. Gefen T, Gasho K, Rademaker A, Lalehzari M, Weintraub S, Rogalski E et al (2012) Clinically concordant variations of Alzheimer pathology in aphasic versus amnestic dementia. Brain 135:1554–1565. https://doi.org/10.1093/brain/aws076 · DOI
  18. Gentle JE, Kaufman L, Rousseuw PJ (1991) Finding groups in data: an introduction to cluster analysis. Biometrics 47:788. https://doi.org/10.2307/2532178 · DOI
  19. Giannakopoulos P, Herrmann FR, Bussière T, Bouras C, Kövari E, Perl DP et al (2003) Tangle and neuron numbers, but not amyloid load, predict cognitive status in Alzheimer’s disease. Neurology 60:1495–1500. https://doi.org/10.1212/01.WNL.0000063311.58879.01 · DOI · Paper page
  20. Gorno-Tempini ML, Brambati SM, Ginex V, Ogar J, Dronkers NF, Marcone A et al (2008) The logopenic/phonological variant of primary progressive aphasia. Neurology 71:1227–1234. https://doi.org/10.1212/01.wnl.0000320506.79811.da · DOI
  21. Gorno-Tempini ML, Hillis AE, Weintraub S, Kertesz A, Mendez M, Cappa SF et al (2011) Classification of primary progressive aphasia and its variants. Neurology 76:1006–1014. https://doi.org/10.1212/WNL.0b013e31821103e6 · DOI · Paper page
  22. Grijalvo-Perez AM, Litvan I (2014) Corticobasal degeneration. Semin Neurol 34:160–173. https://doi.org/10.1055/s-0034-1381734 · DOI
  23. Hauw JJ, Daniel SE, Dickson D, Horoupian DS, Jellinger K, Lantos PL et al (1994) Preliminary NINDS neuropathologic criteria for Steele–Richardson–Olszewski syndrome (progressive supranuclear palsy). Neurology 44:2015–2019 · DOI
  24. Herman JP, Mueller NK (2006) Role of the ventral subiculum in stress integration. Behav Brain Res 174:215–224. https://doi.org/10.1016/J.BBR.2006.05.035 · DOI
  25. Hickok G, Poeppel D (2004) Dorsal and ventral streams: a framework for understanding aspects of the functional anatomy of language. Cognition 92:67–99. https://doi.org/10.1016/j.cognition.2003.10.011 · DOI · Paper page
  26. Insausti R, Muñoz M (2001) Cortical projections of the non-entorhinal hippocampal formation in the cynomolgus monkey (Macaca fascicularis). Eur J Neurosci 14:435–451. https://doi.org/10.1046/j.0953-816X.2001.01662.x · DOI
  27. Janocko NJ, Brodersen KA, Soto-Ortolaza AI, Ross OA, Liesinger AM, Duara R et al (2012) Neuropathologically defined subtypes of Alzheimer’s disease differ significantly from neurofibrillary tangle-predominant dementia. Acta Neuropathol 124:681–692. https://doi.org/10.1007/s00401-012-1044-y · DOI
  28. Ji J, Maren S (2008) Differential roles for hippocampal areas CA1 and CA3 in the contextual encoding and retrieval of extinguished fear. Learn Mem 15:244–251. https://doi.org/10.1101/lm.794808 · DOI
  29. Josephs KA, Dickson DW, Murray ME, Senjem ML, Parisi JE, Petersen RC et al (2013) Quantitative neurofibrillary tangle density and brain volumetric MRI analyses in Alzheimer’s disease presenting as logopenic progressive aphasia. Brain Lang 127:127–134. https://doi.org/10.1016/j.bandl.2013.02.003 · DOI
  30. Kaiser HF (1960) The application of electronic computers to factor analysis. Educ Psychol Meas 20:141–151. https://doi.org/10.1177/001316446002000116 · DOI · Paper page
  31. Kaplan E (1983) Boston naming test. Lea & Febiger, Philadelphia
  32. Lamy C, Duyckaerts C, Delaere P, Payan C, Fermanian J, Poulain V et al (1989) Comparison of seven staining methods for senile plaques and neurofibrillary tangles in a prospective series of 15 elderly patients. Neuropathol Appl Neurobiol 15:563–578. https://doi.org/10.1111/j.1365-2990.1989.tb01255.x · DOI
  33. Lee SE, Rabinovici GD, Mayo MC, Wilson SM, Seeley WW, Dearmond SJ et al (2011) Clinicopathological correlations in corticobasal degeneration. Ann Neurol 70:327–340. https://doi.org/10.1002/ana.22424 · DOI · Paper page
  34. Leutgeb S, Leutgeb JK, Barnes CA, Moser EI, McNaughton BL, Moser MB (2005) Neuroscience: independent codes for spatial and episodic memory in hippocampal neuronal ensembles. Science (80-) 309:619–623. https://doi.org/10.1126/science.1114037 · DOI
  35. Mackenzie IRA, Neumann M, Baborie A, Sampathu DM, Du Plessis D, Jaros E et al (2011) A harmonized classification system for FTLD-TDP pathology. Acta Neuropathol 122:111–113. https://doi.org/10.1007/s00401-011-0845-8 · DOI
  36. Mattsson N, Schott JM, Hardy J, Turner MR, Zetterberg H (2016) Selective vulnerability in neurodegeneration: insights from clinical variants of Alzheimer’s disease. J Neurol Neurosurg Psychiatry 87:1000–1004. https://doi.org/10.1136/jnnp-2015-311321 · DOI
  37. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM (1984) Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 34:939–944 · DOI · Paper page
  38. Mesulam MM, Weintraub S, Rogalski EJ, Wieneke C, Geula C, Bigio EH (2014) Asymmetry and heterogeneity of Alzheimer’s and frontotemporal pathology in primary progressive aphasia. Brain 137:1176–1192. https://doi.org/10.1093/brain/awu024 · DOI · Paper page
  39. Neary D, Snowden JS, Gustafson L, Passant U, Stuss D, Black S et al (1998) Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology 51:1546–1554. https://doi.org/10.1212/WNL.51.6.1546 · DOI · Paper page
  40. O’Mara SM, Sanchez-Vives MV, Brotons-Mas JR, O’Hare E (2009) Roles for the subiculum in spatial information processing, memory, motivation and the temporal control of behaviour. Prog Neuro-Psychopharmacol Biol Psychiatry 33:782–790. https://doi.org/10.1016/j.pnpbp.2009.03.040 · DOI
  41. Ohm TG, Scharnagl H, März W, Bohl J (1999) Apolipoprotein E isoforms and the development of low and high Braak stages of Alzheimer’s disease-related lesions. Acta Neuropathol 98:273–280. https://doi.org/10.1007/s004010051080 · DOI
  42. Ossenkoppele R, Mattsson N, Teunissen CE, Barkhof F, Pijnenburg Y, Scheltens P et al (2015) Cerebrospinal fluid biomarkers and cerebral atrophy in distinct clinical variants of probable Alzheimer’s disease. Neurobiol Aging 36:2340–2347. https://doi.org/10.1016/j.neurobiolaging.2015.04.011 · DOI
  43. Ossenkoppele R, Pijnenburg YAL, Perry DC, Cohn-Sheehy BI, Scheltens NME, Vogel JW et al (2015) The behavioural/dysexecutive variant of Alzheimer’s disease: clinical, neuroimaging and pathological features. Brain 138:2732–2749. https://doi.org/10.1093/brain/awv191 · DOI · Paper page
  44. Ossenkoppele R, Schonhaut DR, Schöll M, Lockhart SN, Ayakta N, Baker SL et al (2016) Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease. Brain 139:1551–1567. https://doi.org/10.1093/brain/aww027 · DOI · Paper page
  45. Phillips JS, Das SR, McMillan CT, Irwin DJ, Roll EE, Da Re F et al (2018) Tau PET imaging predicts cognition in atypical variants of Alzheimer’s disease. Hum Brain Mapp 39:691–708. https://doi.org/10.1002/hbm.23874 · DOI · Paper page
  46. Phillips JS, Da Re F, Dratch L, Xie SX, Irwin DJ, McMillan CT et al (2018) Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer’s disease. Neurobiol Aging 63:75–87. https://doi.org/10.1016/j.neurobiolaging.2017.11.008 · DOI · Paper page
  47. Rabinovici GD, Furst AJ, Alkalay A, Racine CA, O’Neil JP, Janabi M et al (2010) Increased metabolic vulnerability in early-onset Alzheimer’s disease is not related to amyloid burden. Brain 133:512–528. https://doi.org/10.1093/brain/awp326 · DOI
  48. Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J et al (2011) Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 134:2456–2477. https://doi.org/10.1093/brain/awr179 · DOI · Paper page
  49. Rosenbloom MH, Alkalay A, Agarwal N, Baker SL, O’Neil JP, Janabi M et al (2011) Distinct clinical and metabolic deficits in PCA and AD are not related to amyloid distribution. Neurology 76:1789–1796. https://doi.org/10.1212/WNL.0b013e31821cccad · DOI
  50. Saur D, Kreher BW, Schnell S, Kummerer D, Kellmeyer P, Vry M-S et al (2008) Ventral and dorsal pathways for language. Proc Natl Acad Sci 105:18035–18040. https://doi.org/10.1073/pnas.0805234105 · DOI
  51. Seghier ML (2013) The angular gyrus: multiple functions and multiple subdivisions. Neuroscientist 19:43–61 · DOI · Paper page
  52. Spinelli EG, Mandelli ML, Miller ZA, Santos-Santos MA, Wilson SM, Agosta F et al (2017) Typical and atypical pathology in primary progressive aphasia variants. Ann Neurol 81:430–443. https://doi.org/10.1002/ana.24885 · DOI · Paper page
  53. Staffaroni AM, Brown JA, Casaletto KB, Elahi FM, Deng J, Neuhaus J et al (2018) The longitudinal trajectory of default mode network connectivity in healthy older adults varies as a function of age and is associated with changes in episodic memory and processing speed. J Neurosci 38:3067–4017. https://doi.org/10.1523/JNEUROSCI.3067-17.2018 · DOI
  54. Suemoto CK, Ferretti-Rebustini REL, Rodriguez RD, Leite REP, Soterio L, Brucki SMD et al (2017) Neuropathological diagnoses and clinical correlates in older adults in Brazil: a cross-sectional study. PLoS Med 14:e1002267. https://doi.org/10.1371/journal.pmed.1002267 · DOI
  55. Suemoto CK, Leite REP, Ferretti-Rebustini REL, Rodriguez RD, Nitrini R, Pasqualucci CA, Jacob-Filho W et al (2019) Neuropathological lesions in the very old: results from a large Brazilian autopsy study. Brain Pathol. https://doi.org/10.1111/bpa.12719 · DOI
  56. Terry RD, Hansen LA, Deteresa R, Da Vies P, Tobias H, Katzman R (1987) Senile dementia of the alzheimer type without neocortical neurofibrillary tangles. J Neuropathol Exp Neurol 46:262–268. https://doi.org/10.1097/00005072-198705000-00003 · DOI
  57. Warren JD, Fletcher PD, Golden HL (2012) The paradox of syndromic diversity in Alzheimer disease. Nat Rev Neurol 8:451–464. https://doi.org/10.1038/nrneurol.2012.135 · DOI

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Metadata

Authors
Petersen, C., Nolan, A. L., de Paula França Resende, E., Miller, Z., Ehrenberg, A. J., Gorno-Tempini, M. L., Rosen, H. J., Kramer, J. H., Spina, S., Rabinovici, G. D., Miller, B. L., Seeley, W. W., Heinsen, H., & Grinberg, L. T.
ORCID
Grinberg, Lea Tenenholz
Venue
Acta Neuropathologica
Publisher
Springer Science and Business Media LLC
Published
2019-06-27
Volume
138
Issue
4
Pages
597-612
ISSN
  • 0001-6322
  • 1432-0533
DOI
10.1007/s00401-019-02036-6
PMC
PMC7012374
Cited by
113
References
14
Language
en
Licence
Funders
  • National Institutes of Health (K24AG053435, K24DC015544A, R01NS5091)
  • University of California, San Francisco (P50AG023501, P01AG019724)

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CoChat. (2026). Citation check: Alzheimer’s disease clinical variants show distinct regional patterns of neurofibrillary tangle accumulation. https://app.cochat.ai/papers/10.1007/s00401-019-02036-6
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Petersen, C., Nolan, A. L., de Paula França Resende, E., Miller, Z., Ehrenberg, A. J., Gorno-Tempini, M. L., Rosen, H. J., Kramer, J. H., Spina, S., Rabinovici, G. D., Miller, B. L., Seeley, W. W., Heinsen, H., & Grinberg, L. T. (2019). Alzheimer’s disease clinical variants show distinct regional patterns of neurofibrillary tangle accumulation. Acta Neuropathologica. https://doi.org/10.1007/s00401-019-02036-6