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Knowing the natural course of biomarkers in AD: Longitudinal MRI, CSF and PET data

  • JNHA: Clinical Trials and Aging
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JNHA - The Journal of Nutrition, Health and Aging

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References

  1. Scheltens P, Fox N, Barkhof F, De Carli C. Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion. Lancet Neurol 2002; 1(1):13–21.

    Article  PubMed  Google Scholar 

  2. Wolf H, Grunwald M, Kruggel F, Riedel-Heller SG, Angerhofer S, Hojjatoleslami A et al. Hippocampal volume discriminates between normal cognition; questionable and mild dementia in the elderly. Neurobiol Aging 2001; 22(2):177–186.

    Article  PubMed  CAS  Google Scholar 

  3. Petersen RC, Jack CRJ, Xu YC, Waring SC, O’Brien PC, Smith GE et al. Memory and MRI-based hippocampal volumes in aging and AD. Neurology 2000; 54:581–587.

    PubMed  CAS  Google Scholar 

  4. Sluimer JD, van der Flier WM, Karas GB, Fox NC, Scheltens P, Barkhof F et al. Whole-brain atrophy rate and cognitive decline: longitudinal MR study of memory clinic patients. Radiology 2008; 248(2):590–598.

    Article  PubMed  Google Scholar 

  5. Henneman W.J., Sluimer JD, Barnes J, van der Flier WM, Sluimer IC, Fox N et al. Hippocampal atrophy rates in Alzheimer’s disease: added value over whole brain volume measures. Neurology. 2009;(In Press)

  6. Sluimer JD, Vrenken H, Blankenstein MA, Fox NC, Scheltens P, Barkhof F et al. Whole-brain atrophy rate in Alzheimer disease: identifying fast progressors. Neurology 2008; 70(19 Pt 2):1836–1841.

    PubMed  CAS  Google Scholar 

  7. Blennow K, Hampel H. — CSF markers for incipient Alzheimer’s disease. — Lancet Neurol 2003 Oct;2(10):605–613(- 1474–4422 (Print)).

    Article  PubMed  CAS  Google Scholar 

  8. Wiltfang J, Lewczuk P, Riederer P, Grunblatt E, Hock C, Scheltens P et al. — Consensus paper of the WFSBP Task Force on Biological Markers of Dementia: the role of CSF and blood analysis in the early and differential diagnosis of dementia. — World J Biol Psychiatry 2005;6(2):69–84(- 1562–2975 (Print)).

    Article  PubMed  CAS  Google Scholar 

  9. Bouwman FH, Schoonenboom SNM, van Der Flier WM, Van Elk EJ, Kok A, Barkhof F et al. CSF biomarkers and medial temporal lobe atrophy predict dementia in mild cognitive impairment. Neurobiol Aging 2007; 28(7):1070–1074.

    Article  PubMed  CAS  Google Scholar 

  10. Hansson O, Zetterberg H, Buchhave P, Londos E, Blennow K, Minthon L. — Association between CSF biomarkers and incipient Alzheimer’s disease in patients with mild cognitive impairment: a follow-up study. — Lancet Neurol 2006 Mar;5(3):228–234(- 1474–4422 (Print)).

    Article  PubMed  CAS  Google Scholar 

  11. Bouwman FH, van der Flier WM, Schoonenboom NS, Van Elk EJ, Kok A, Scheltens P et al. Usefulness of Longitudinal Measurements of Beta-Amyloid 1–42 in Cerebrospinal Fluid of Patients with Various Cognitive and Neurologic Disorders. Clin Chem 2006; 52(8):1604–1606.

    Article  PubMed  CAS  Google Scholar 

  12. Verwey NA, Bouwman FH, van der Flier WM, Veerhuis R, Scheltens P, Blankenstein MA. Variability in longitudinal cerebrospinal fluid tau and phosphorylated tau measurements. Clin Chem Lab Med 2008; 46(9):1300–1304.

    Article  PubMed  CAS  Google Scholar 

  13. Blennow K, Zetterberg H, Minthon L, Lannfelt L, Strid S, Annas P et al. Longitudinal stability of CSF biomarkers in Alzheimer’s disease. Neurosci Lett 2007; 419(1):18–22.

    Article  PubMed  CAS  Google Scholar 

  14. Bouwman FH, van der Flier WM, Schoonenboom NS, Van Elk EJ, Kok A, Rijmen F et al. Longitudinal changes of CSF biomarkers in memory clinic patients. Neurology 2007; 69(10):1006–1011.

    Article  PubMed  CAS  Google Scholar 

  15. Sluimer JD, Bouwman FH, Vrenken H, Blankenstein MA, Barkhof F, van der Flier WM et al. Whole-brain atrophy rate and CSF biomarker levels in MCI and AD: A longitudinal study. Neurobiol Aging 2008.

  16. Andersson C, Blennow K, Almkvist O, Andreasen N, Engfeldt P, Johansson SE et al. Increasing CSF phospho-tau levels during cognitive decline and progression to dementia. Neurobiol Aging 2008; 29(10):1466–1473.

    Article  PubMed  CAS  Google Scholar 

  17. Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP et al. Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B. Ann Neurol 2004; 55(3):306–319.

    Article  Google Scholar 

  18. Edison P, Archer HA, Hinz R, Hammers A, Pavese N, Tai YF et al. Amyloid, hypometabolism, and cognition in Alzheimer disease: an [11C]PIB and [18F]FDG PET study. Neurology 2007; 68(7):501–508.

    Article  Google Scholar 

  19. Jack CR, Jr., Lowe VJ, Senjem ML, Weigand SD, Kemp BJ, Shiung MM et al. 11C PiB and structural MRI provide complementary information in imaging of Alzheimer’s disease and amnestic mild cognitive impairment. Brain 2008; 131(Pt 3):665–680.

    Article  PubMed  Google Scholar 

  20. Small GW, Kepe V, Ercoli LM, Siddarth P, Bookheimer SY, Miller KJ et al. PET of brain amyloid and tau in mild cognitive impairment. N Engl J Med 2006; 355(25):2652–2663.

    Article  PubMed  CAS  Google Scholar 

  21. Shin J, Lee SY, Kim SH, Kim YB, Cho SJ. Multitracer PET imaging of amyloid plaques and neurofibrillary tangles in Alzheimer’s disease. Neuroimage 2008; 43(2):236–244.

    Article  PubMed  Google Scholar 

  22. Tolboom N, Yaqub M, van der Flier WM, Boellaard R, Luurtsema G, Windhorst A et al. Detection of Alzheimer pathology in vivo using both [11C]PIB and [18F]FDDNP positron emission tomography. J Nucl Med. 2009;(In Press)

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Correspondence to W. M. Van Der Flier.

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Van Der Flier, W.M., Scheltens, P. Knowing the natural course of biomarkers in AD: Longitudinal MRI, CSF and PET data. J Nutr Health Aging 13, 353–355 (2009). https://doi.org/10.1007/s12603-009-0041-x

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  • DOI: https://doi.org/10.1007/s12603-009-0041-x

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