Skip to main content

Advertisement

Log in

Amyloid-independent functional neural correlates of episodic memory in amnestic mild cognitive impairment

  • Original Article
  • Published:
European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

Although amnestic mild cognitive impairment (aMCI) could have various biological characteristics, little attention has been given to the nature of episodic memory decline in aMCI with pathophysiologies other than Alzheimer’s disease (AD), i.e., aMCI with low beta-amyloid (Aβ) burden. This study aimed to identify the functional neural basis of episodic memory impairment in aMCI with Aβ burden negative (aMCI-Aβ−) and to compare these results with aMCI with Aβ burden positive (aMCI-Aβ+).

Methods

Individuals with aMCI (n = 498) were selected from the Alzheimer’s Disease Neuroimaging Initiative database. Based on the mean florbetapir standard uptake value ratio, participants were classified as aMCI-Aβ− or aMCI-Aβ+. Correlations between memory scores and regional cerebral glucose metabolism (rCMglc) were analyzed separately for the two subgroups using a multiple regression model.

Results

For aMCI-Aβ−, significant positive correlations between memory and rCMglc were found in the bilateral claustrum, right thalamus, left anterior cingulate cortex, left insula, and right posterior cingulate. For aMCI-Aβ+, significant positive correlations between memory and rCMglc were found in the temporoparietal areas. These correlation patterns remained unchanged when clinical severity was added as a covariate

Conclusion

Our findings indicate that memory impairment in aMCI-Aβ− is related to multimodal integrative processing and the attentional control system, whereas memory impairment in aMCI-Aβ+ is related to the typical brain memory systems and AD signature. These results suggest that although the two subgroups are clinically in the same category as aMCI, the memory impairment process depends on completely different functional brain regions according to their Aβ burden level.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Patricio CM, Gabriela C, Julieta RM, Marcos FS, Federico N, Griselda R, et al. Concordance between 11C-PIB-PET and clinical diagnosis in a memory clinic. Am J Alzheimers Dis Other Demen 2015;30(6):599–606. doi:10.1177/1533317515576387.

    Article  PubMed  Google Scholar 

  2. Nettiksimmons J, DeCarli C, Landau S, Beckett L. Alzheimer’s Disease Neuroimaging Initiative. Biological heterogeneity in ADNI amnestic mild cognitive impairment. Alzheimers Dement 2014;10(5):511–21.e1. doi:10.1016/j.jalz.2013.09.003.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Vos SJ, van Rossum IA, Verhey F, Knol DL, Soininen H, Wahlund LO, et al. Prediction of Alzheimer disease in subjects with amnestic and nonamnestic MCI. Neurology 2013;80(12):1124–32. doi:10.1212/WNL.0b013e318288690c.

    Article  PubMed  Google Scholar 

  4. Alichniewicz KK, Brunner F, Klünemann HH, Greenlee MW. Structural and functional neural correlates of visuospatial information processing in normal aging and amnestic mild cognitive impairment. Neurobiol Aging 2012;33(12):2782–97. doi:10.1016/j.neurobiolaging.2012.02.010.

    Article  PubMed  Google Scholar 

  5. Brugnolo A, Morbelli S, Arnaldi D, De Carli F, Accardo J, Bossert I, et al. Metabolic correlates of Rey auditory verbal learning test in elderly subjects with memory complaints. J Alzheimers Dis 2014;39(1):103–13. doi:10.3233/JAD-121684.

    PubMed  Google Scholar 

  6. Dos Santos V, Thomann PA, Wüstenberg T, Seidl U, Essig M, Schröder J. Morphological cerebral correlates of CERAD test performance in mild cognitive impairment and Alzheimer’s disease. J Alzheimers Dis 2011;23(3):411–20. doi:10.3233/JAD-2010-100156.

    PubMed  Google Scholar 

  7. Leube DT, Weis S, Freymann K, Erb M, Jessen F, Heun R, et al. Neural correlates of verbal episodic memory in patients with MCI and Alzheimer’s disease--a VBM study. Int J Geriatr Psychiatry 2008;23(11):1114–8. doi:10.1002/gps.2036.

    Article  PubMed  Google Scholar 

  8. Schönknecht OD, Hunt A, Toro P, Henze M, Haberkorn U, Schröder J. Neural correlates of delayed episodic memory in patients with mild cognitive impairment--a FDG PET study. Neurosci Lett 2009;467(2):100–4. doi:10.1016/j.neulet.2009.10.014.

    Article  PubMed  Google Scholar 

  9. Schwindt GC, Black SE. Functional imaging studies of episodic memory in Alzheimer’s disease: a quantitative meta-analysis. Neuroimage 2009;45(1):181–90. doi:10.1016/j.neuroimage.2008.11.024.

    Article  PubMed  Google Scholar 

  10. Jueptner M, Weiller C. Review: does measurement of regional cerebral blood flow reflect synaptic activity? Implications for PET and fMRI. Neuroimage 1995;2(2):148–56. doi:S1053811985710178 [pii].

    Article  CAS  PubMed  Google Scholar 

  11. Sokoloff L. Relationships among local functional activity, energy metabolism, and blood flow in the central nervous system. Fed Proc 1981;40(8):2311–6.

    CAS  PubMed  Google Scholar 

  12. Della Rosa PA, Cerami C, Gallivanone F, Prestia A, Caroli A, Castiglioni I, et al. A standardized [18F]-FDG-PET template for spatial normalization in statistical parametric mapping of dementia. Neuroinformatics 2014;12(4):575–93. doi:10.1007/s12021-014-9235-4.

    Article  PubMed  Google Scholar 

  13. Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med 1995;36(7):1238–48.

    CAS  PubMed  Google Scholar 

  14. Minoshima S, Giordani B, Berent S, Frey KA, Foster NL, Kuhl DE. Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease. Ann Neurol 1997;42(1):85–94. doi:10.1002/ana.410420114.

    Article  CAS  PubMed  Google Scholar 

  15. Perani D. FDG-PET and amyloid-PET imaging: the diverging paths. Curr Opin Neurol 2014;27(4):405–13. doi:10.1097/WCO.0000000000000109.

    Article  CAS  PubMed  Google Scholar 

  16. Petersen RC, Aisen PS, Beckett LA, Donohue MC, Gamst AC, Harvey DJ, et al. Alzheimer’s Disease Neuroimaging Initiative (ADNI): clinical characterization. Neurology 2010;74(3):201–9. doi:10.1212/WNL.0b013e3181cb3e25.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 1993;43(11):2412–4.

    Article  CAS  PubMed  Google Scholar 

  18. Crane PK, Carle A, Gibbons LE, Insel P, Mackin RS, Gross A, et al. Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Brain Imaging Behavior 2012;6(4):502–16. doi:10.1007/s11682-012-9186-z.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Pfeffer RI, Kurosaki TT, Harrah Jr CH, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol 1982;37(3):323–9.

    Article  CAS  PubMed  Google Scholar 

  20. Teng E, Becker BW, Woo E, Knopman DS, Cummings JL, Lu PH. Utility of the functional activities questionnaire for distinguishing mild cognitive impairment from very mild Alzheimer disease. Alzheimer Dis Assoc Disord 2010;24(4):348–53. doi:10.1097/WAD.0b013e3181e2fc84.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Landau SM, Mintun MA, Joshi AD, Koeppe RA, Petersen RC, Aisen PS, et al. Amyloid deposition, hypometabolism, and longitudinal cognitive decline. Ann Neurol 2012;72(4):578–86. doi:10.1002/ana.23650.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Jagust WJ, Bandy D, Chen K, Foster NL, Landau SM, Mathis CA, et al. The Alzheimer’s Disease Neuroimaging Initiative positron emission tomography core. Alzheimers Dement 2010;6(3):221–9. doi:10.1016/j.jalz.2010.03.003.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Joshi A, Koeppe RA, Fessler JA. Reducing between scanner differences in multi-center PET studies. Neuroimage 2009;46(1):154–9. doi:10.1016/j.neuroimage.2009.01.057.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Dukart J, Mueller K, Horstmann A, Vogt B, Frisch S, Barthel H, et al. Differential effects of global and cerebellar normalization on detection and differentiation of dementia in FDG-PET studies. Neuroimage 2010;49(2):1490–5. doi:10.1016/j.neuroimage.2009.09.017.

    Article  PubMed  Google Scholar 

  25. Park S, Tyszka JM, Allman JM. The claustrum and insula in Microcebus murinus: a high resolution diffusion imaging study. Front Neuroanat 2012;6:21. doi:10.3389/fnana.2012.00021.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Torgerson CM, Irimia A, Goh SY, Van Horn JD. The DTI connectivity of the human claustrum. Hum Brain Mapp 2015;36(3):827–38. doi:10.1002/hbm.22667.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Fernández-Miranda JC, Rhoton Jr AL, Kakizawa Y, Choi C, Alvarez-Linera J. The claustrum and its projection system in the human brain: a microsurgical and tractographic anatomical study. J Neurosurg 2008;108(4):764–74. doi:10.3171/JNS/2008/108/4/0764.

    Article  PubMed  Google Scholar 

  28. Naghavi HR, Eriksson J, Larsson A, Nyberg L. The claustrum/insula region integrates conceptually related sounds and pictures. Neurosci Lett 2007;422(1):77–80. doi:10.1016/j.neulet.2007.06.009.

    Article  CAS  PubMed  Google Scholar 

  29. Davis KD, Hutchison WD, Lozano AM, Tasker RR, Dostrovsky JO. Human anterior cingulate cortex neurons modulated by attention-demanding tasks. J Neurophysiol 2000;83(6):3575–7.

    CAS  PubMed  Google Scholar 

  30. Leech R, Sharp DJ. The role of the posterior cingulate cortex in cognition and disease. Brain 2014;137(Pt 1):12–32. doi:10.1093/brain/awt162.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Posner MI, Rothbart MK. Attention, self-regulation and consciousness. Philos Trans R Soc Lond B Biol Sci 1998;353(1377):1915–27. doi:10.1098/rstb.1998.0344.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Braskie MN, Small GW, Bookheimer SY. Entorhinal cortex structure and functional MRI response during an associative verbal memory task. Hum Brain Mapp 2009;30(12):3981–92. doi:10.1002/hbm.20823.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Cabeza R, Nyberg L. Imaging cognition II: an empirical review of 275 PET and fMRI studies. J Cogn Neurosci 2000;12(1):1–47.

    Article  CAS  PubMed  Google Scholar 

  34. Wheeler ME, Buckner RL. Functional-anatomic correlates of remembering and knowing. Neuroimage 2004;21(4):1337–49. doi:10.1016/j.neuroimage.2003.11.001.

    Article  PubMed  Google Scholar 

  35. Herholz K, Salmon E, Perani D, Baron JC, Holthoff V, Frölich L, et al. Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. Neuroimage 2002;17(1):302–16.

    Article  CAS  PubMed  Google Scholar 

  36. Tulving E, Donaldson W, Bower GH. Research. USOoN. Organization of memory. New York: Academic Press; 1972.

    Google Scholar 

  37. Cohen NJ, Squire LR. Preserved learning and retention of pattern-analyzing skill in amnesia: dissociation of knowing how and knowing that. Science 1980;210(4466):207–10.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was funded by a Research fund from Chosun University (K206556001-1 and K206996001-1).

Data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI; National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen Idec Inc.; Bristol-Myers Squibb Company; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Medpace, Inc.; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Synarc Inc.; and Takeda Pharmaceutical Company. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory of Neuro Imaging at the University of Southern California.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to IL Han Choo.

Ethics declarations

Conflicts of interest

None.

Research involving human participants and/or animals

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seo, E.H., Choo, I.H. & For the Alzheimer’s Disease Neuroimaging Initiative. Amyloid-independent functional neural correlates of episodic memory in amnestic mild cognitive impairment. Eur J Nucl Med Mol Imaging 43, 1088–1095 (2016). https://doi.org/10.1007/s00259-015-3261-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00259-015-3261-9

Keywords

Navigation