Skip to main content
Download PDF

Change in cognitive function according to cholinesterase inhibitor use and amyloid PET positivity in patients with mild cognitive impairment

Alzheimer's Research & Therapy volume 13, Article number: 10 (2021) Cite this article

Abstract

Background

Cholinesterase inhibitors (ChEIs) are an FDA-approved symptomatic treatment for patients with Alzheimer’s disease (AD). Its efficacy in patients with mild cognitive impairment (MCI), however, is controversial. Nonetheless, ChEIs have often been used in patients with MCI. From the perspective that ChEIs were developed based on the pathomechanism of AD, the effect of ChEIs in MCI patients could be different depending on the amyloid burden. In this retrospective observational study, we aimed to investigate the influence of ChEIs and amyloid burden on cognitive change for 1 year in patients with MCI.

Methods

We included 111 patients with MCI with a Clinical Dementia Rating (CDR) score of 0.5, a 1-year follow-up cognitive assessment, and amyloid positron emission tomography (PET) performed within 6 months before or after the baseline cognitive assessment (73 ChEI users and 38 ChEI non-users) from the Neurocognitive Behavior Center of Seoul National University Bundang Hospital. Additionally, those who had a positive amyloid PET scan more than 6 months before the baseline cognitive assessment and those who had a negative amyloid PET scan more than 6 months after the 1-year follow-up cognitive assessment were also included. Among the total 111 patients, 25 ChEI users and 25 ChEI non-users were matched by baseline Mini-Mental State Examination (MMSE) score, age, educational level, CDR Sum of Boxes, and amyloid PET positivity using propensity score matching. Multiple linear regression analysis was performed to assess the influence of ChEI use and amyloid PET positivity on cognitive change for 1 year. Univariate and multivariate logistic regression analyses were performed to evaluate the association between ChEI use and disease progression to CDR 1 at the 1-year follow-up visit.

Results

ChEI use or non-use was not associated with cognitive change for 1 year. Amyloid PET positivity or negativity did not change this non-association. Furthermore, progression to CDR 1 was related to low baseline MMSE score (OR 0.606, CI 0.381–0.873), but not with ChEI use or non-use, and not with amyloid PET result.

Conclusion

ChEI use or non-use was not related to cognitive change at a 1-year follow-up visit in patients with or without amyloid burden. In addition, ChEI use or non-use could not predict disease progression to CDR 1 at 1-year follow-up visit.

Background

Cholinesterase inhibitors (ChEIs) are a Food and Drug Administration (FDA)-approved symptomatic treatment for Alzheimer’s disease (AD) and include donepezil, rivastigmine, and galantamine. However, their efficacy in mild cognitive impairment (MCI) is uncertain. According to a recent practice guideline update by Petersen et al., there is no level A evidence regarding ChEI use in MCI, and the recommendations suggest that a physician may choose not to offer ChEIs [1]. Nonetheless, according to a study with the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort, 44% of the recruited patients with MCI were treated with ChEIs [2].

A considerable number of studies have previously been conducted to assess the effect of ChEI treatment in patients with MCI [3]. However, participants were included based on a clinical diagnosis of MCI without AD pathology confirmation. Therefore, these study populations might have contained heterogeneous pathologies, which could have led to inconsistent results [3, 4]. The lack of an approved pharmacological treatment for patients with MCI and concern about progression to dementia might lead to the use of ChEIs despite no strong evidence of their efficacy. As ChEIs were developed based on pathological changes in early AD, evaluation of the effect of ChEIs in patients with MCI with AD pathology confirmed by AD biomarkers might provide useful clues to ChEI use regarding the timing of initiating therapy or the indications for treatment.

In this study, we aimed to evaluate the effect of ChEIs on cognition in patients with MCI and their interactions with amyloidopathy.

Methods

Participants

A retrospective, longitudinal, and observational study was conducted at Seoul National University Bundang Hospital in the Republic of Korea. We included participants from January 2013 and August 2020 who met the following inclusion criteria: (1) a diagnosis of MCI according to Petersen’s criteria [5], (2) a Clinical Dementia Rating (CDR) score of 0.5 at baseline assessment [6], (3) patients with a 1-year follow-up including a neuropsychological assessment, and (4) those who underwent amyloid positron emission tomography (PET) within 6 months before or after the baseline cognitive assessment. Those who had a positive amyloid PET scan more than 6 months before the baseline cognitive assessment and those who had a negative amyloid PET scan more than 6 months after the 1-year follow-up cognitive assessment were also included. Among a total of 50 patients included for the analysis, 27 participants underwent amyloid PET outside the 6-month window. The time window of the 27 participants ranged from 24 months before to 10 months after the baseline cognitive assessment. The median value was 13 months before the baseline cognitive assessment.

This study design was approved by the Institutional Review Board of Seoul National University Bundang Hospital (B-2006/618-109).

Data collection

Demographic information such as age, sex, educational level, and APOE genotype was collected from the participants. Neuropsychological assessment results at baseline and a 1-year follow-up visit and amyloid PET results were obtained. Use or non-use of ChEIs during the follow-up period after baseline cognitive assessment and the types and dosages of ChEIs prescribed to each user were investigated.

Cognitive evaluation

We assessed the global cognitive status with the Mini-Mental State Examination (MMSE) [7], dementia severity with CDR Sum of Boxes (CDR SOB), and depressive symptoms with the short form of the Geriatric Depression Scale (GDpS) [8]. Additionally, extensive neuropsychological assessments were performed to evaluate attention, language, verbal and visual memory, visuoconstructive function, and frontal executive function. We used the Digit Span Test for attention [9], the Korean version of the Boston Naming Test for language [10], the Seoul Verbal Learning Test for verbal memory [11], the Rey Complex Figure Test (RCFT) for visuoconstructive function and visual memory [12], the categorical and phonemic fluency test of the Controlled Oral Word Association Test [13], and the Stroop color reading test for executive function [14]. For statistical analysis, MMSE, CDR SOB, and GDpS scores were used as raw scores. The scores for specified neuropsychological tests were converted to standardized scores (z-scores), which were adjusted for age, sex, and educational level.

Amyloid burden

Amyloid burden was evaluated by amyloid PET. [18F]Florbetaben (n = 105), [18F]flutemetamol (n = 4), and [18F]florbetapir (n = 2) were used as ligands. Amyloid status was dichotomized as positive (abnormal) or negative (normal) after visual assessment by one experienced nuclear medicine physician and two neurologists.

Statistical analysis

To minimize treatment selection bias and the difference in baseline characteristics between ChEI users and non-users, propensity score matching analysis was conducted. Propensity scores were calculated through logistic regression [15] with covariates such as the baseline MMSE score, age, educational level, amyloid PET positivity, and CDR SOB using the Matchit packages in R. ChEI users and non-users were paired 1:1 based on these propensity scores with a caliper size of 0.2.

Demographics and clinical characteristics between groups of unmatched and matched sets were compared with Student’s t test, the Mann-Whitney U test, or the chi-squared test as appropriate. Cognitive assessment at baseline between groups of matched sets was compared using Student’s t test or the Mann-Whitney U test.

Linear regression analysis was performed to assess the influence of ChEI use or non-use on cognitive change for 1 year. The independent variable was group (ChEI user vs ChEI non-user), and the dependent variable was the difference between the 1-year cognitive test score and the baseline cognitive test score. The GDpS scores were reported as raw scores. For the MMSE analysis, age, sex, and educational level were adjusted. The z-scores of the remaining cognitive tests were already adjusted for age, sex, and educational level. Additionally, the multiple linear regression analysis included the amyloid PET scan result as a covariate to evaluate the effect of amyloid burden on the interaction between ChEI use/non-use and cognitive change for 1 year.

Univariate and multivariate logistic regression analyses were performed to investigate the associations among ChEI use/non-use, amyloid burden, and disease progression to CDR 1 at a 1-year follow-up visit.

All statistical analysis was performed using R (version 4.0.0). Statistical significance was set at < 0.05.

Results

Clinical characteristics and baseline cognitive function of participants

The total cohort was 60.3% female with a mean age of 71.1 years. Before propensity score matching, 73 patients were ChEI users, and 38 patients were ChEI non-users. ChEI users had significantly lower educational levels, lower baseline MMSE scores, higher disease severity with higher CDR SOB scores, and higher amyloid burden with amyloid PET positivity than ChEI non-users. The propensity score-matched cohort comprised 25 ChEI users and 25 ChEI non-users, and the imbalance in the covariates including the educational level, baseline MMSE score, CDR SOB score, and amyloid PET positivity was alleviated. The covariate differences between groups before and after matching are shown in Table 1. Comparing the baseline cognitive function between the groups in the matched cohort, there was no significant difference (Table 2). MCI subtype of the matched 50 participants was all amnestic MCI.

Table 1 Demographics and clinical characteristics of participants before and after propensity score matching
Full size table
Table 2 Comparison of cognitive function at baseline between ChEI users and non-users
Full size table

Effect of ChEIs on cognition change at 1-year follow-up and amyloid burden

Univariate linear regression analysis was performed to evaluate the effect of ChEIs on cognitive change at a 1-year follow-up visit. ChEI use was not significantly associated with cognitive change at 1 year. Adding the amyloid PET results as a covariate, multivariate linear regression analysis was performed to assess the influence of amyloid burden on cognitive change. Amyloid PET positivity did not alter the non-association between ChEI use and cognitive change (Table 3).

Table 3 Change in cognitive function after 1 year according to group and association with amyloid burden as analyzed by linear regression analysis
Full size table

Predictors of progression to CDR 1 at 1-year follow-up

Univariate and multivariate logistic regression analysis showed that ChEI use was not related to disease progression to CDR 1 at the 1-year follow-up visit. A low MMSE score at baseline could predict progression to CDR 1 in the univariate and multivariate analyses (Table 4).

Table 4 Predictors of progression to CDR 1 at 1-year follow-up using logistic regression analysis
Full size table

Discussion

This study demonstrated that ChEI use was not associated with cognitive change during a 1-year follow-up period, and amyloid PET positivity did not alter this non-association between ChEI use and cognitive change. Additionally, ChEI use or non-use could not predict disease progression to CDR 1 at the 1-year follow-up visit. A low baseline MMSE score, however, could predict disease progression.

Previous studies regarding ChEI use in patients with MCI have not shown convincing results. A trial with donepezil or placebo reported that the donepezil group had a lower rate of progression to dementia during the first year; however, at the endpoint of 3 years, the rate was not lower than that in the placebo group [16]. Other trials with donepezil showed statistically significant changes in Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-cog) scores [17, 18]; however, its clinical relevance was questioned [1]. Rivastigmine and galantamine did not demonstrate a benefit for the progression to AD [19, 20]. The lack of a favorable effect of ChEIs on cognition found in our study was similar to the results from the previous literature.

ChEI use in AD is based on the cholinergic hypothesis, which embodies progressive loss of limbic and neocortical cholinergic innervation in AD [21]. In particular, as the source of cortical cholinergic innervation, the basal forebrain neurons are the most vulnerable areas in which the pathological changes of AD such as amyloid plaques and neurofibrillary tangles are observed [22]. In the prodromal stage of AD, the basal forebrain neurons have been considered dysregulated, albeit viable, implying a possibility of intervention [23].

A longitudinal study using functional magnetic resonance imaging showed that patients with MCI treated with donepezil showed activation in the ventrolateral prefrontal cortex [24]. Patients with prodromal AD under donepezil treatment showed a reduced rate of hippocampal atrophy compared with those under treatment with placebo; however, no significant cognitive differences were noted [25]. These results might suggest that ChEI use in patients with MCI could affect pathophysiological changes but not symptomatic changes. This could be due to the short follow-up period of the studies or the relatively preserved cognitive reserve of the MCI population, which could also be possible in our study participants with high baseline MMSE score and high educational levels. A longer follow-up duration might be required to observe cognitive differences.

Interaction of cholinesterase and amyloid metabolism has not been clearly elucidated. Cholinesterase could promote amyloid-ß aggregation [26], and amyloid-ß also increases cholinesterase levels [27]. In addition to having a direct link with amyloidopathy, ChEIs could also protect neurons from amyloid-ß-induced injury and attenuate cytokine release from microglia, showing an anti-inflammatory effect [28]. Based on this evidence, the effect of ChEI use in AD could be partially contributed to by other pathological processes such as neuroinflammatory pathways. The lack of influence of amyloid positivity or negativity on the relation of ChEI use to cognitive change in our study might be partially explained by this evidence.

Additionally, several studies have evaluated the association of APOE genotypes and cognitive response to ChEIs in AD. The results are mixed and could not demonstrate a significant influence of APOE genotype on ChEI response [29,30,31]. Although the interaction of the APOE ε4 allele and cholinergic pathways in the basal forebrain, including its involvement of the amyloid pathway, has not been elucidated clearly, a recent animal study revealed that a compensatory cholinergic sprouting for hippocampal dysfunction due to neuronal loss in the entorhinal cortex is highly sensitive to the presence of the APOE ε4 allele [32]. This result could enlighten further studies to understand ChEI response to the cholinergic system with initial AD-related pathological changes in MCI.

To our knowledge, this is the first study to investigate the effect of ChEIs on cognitive change and their interaction with amyloid burden. A cohort of patients with MCI with confirmed AD biomarkers would be a homogenous and appropriate population to evaluate the effect of ChEIs, which could produce results with great significance. Our study and a further validation study with a larger sample size and longer follow-up period might provide a potential for improving ChEIs as treatment strategies for patients with MCI.

Limitations

The limitations of the current study are the small sample size and short follow-up period. Although the sample size was reduced through propensity score matching, this analytic method could lead to reliable results by reducing the selection bias of observational studies. Furthermore, Petersen et al. reported that the estimated annual rate of MCI conversion to AD ranges between 10 and 15%, and patients with amnestic MCI are prone to progress to AD [5]. A systematic review also demonstrated that a conversion rate over 1 year spanned from 10.2 to 33.6% and over 2 years spanned from 9.8 to 36.3% in clinical samples [33]. Given the short follow-up period in our study, a study with a bigger cohort of MCI with longer follow-up time will be needed. The current result could be considered as a preliminary study for further research.

Conclusions

In summary, ChEI use was not associated with cognitive change during a 1-year follow-up period in MCI, and amyloid PET positivity did not affect this result. Furthermore, ChEI use or non-use could not predict disease progression to CDR 1 at the 1-year follow-up visit. This might suggest a clue of strategies regarding use of ChEIs in patients with MCI.

Availability of data and materials

The study data are not publicly available for download, but might be retrieved from corresponding author professor SangYun Kim.

Abbreviations

AD:

Alzheimer’s disease

ADAS-cog:

Alzheimer’s Disease Assessment Scale-Cognitive Subscale

ADNI:

Alzheimer’s Disease Neuroimaging Initiative

CDR:

Clinical Dementia Rating

CDR SOB:

Clinical Dementia Rating Sum of Boxes

ChEI:

Cholinesterase inhibitor

CI:

Confidence interval

FDA:

Food and Drug Administration

GDpS:

Geriatric Depression Scale

MCI:

Mild Cognitive Impairment

MMSE:

Mini-Mental State Examination

OR:

Odds ratio

PET:

Positron emission tomography

RCFT:

Rey Complex Figure Test

SVLT:

Seoul Verbal Learning Test

References

  1. 1.

    Petersen RC, Lopez O, Armstrong MJ, Getchius TSD, Ganguli M, Gloss D, et al. Practice guideline update summary: Mild cognitive impairment report of theguideline development, dissemination, and implementation. Neurology. 2018;90(3):126–35.

  2. 2.

    Schneider LS, Insel PS, Weiner MW. Treatment with cholinesterase inhibitors and memantine of patients in the Alzheimer’s disease neuroimaging initiative. Arch Neurol. 2011;68(1):58–66.

  3. 3.

    Knight R, Khondoker M, Magill N, Stewart R, Landau S. A systematic review and meta-analysis of the effectiveness of acetylcholinesterase inhibitors and memantine in treating the cognitive symptoms of dementia. Dement Geriatr Cogn Disord. 2018;45(3-4):131–51.

  4. 4.

    Russ TC, Morling JR. Cholinesterase inhibitors for mild cognitive impairment. Cochrane Database Syst Rev. Epub 2012. Russ TC, Morling JR. Cholinesterase inhibitors for mild cognitive impairment. Cochrane Database Syst Rev. 2012(9):CD009132.

  5. 5.

    Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256(3):183–94.

  6. 6.

    Morris JC. The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology. 1993;43(11):2412–14.

  7. 7.

    Folstein M, Folstein S, McHugh P. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98.

  8. 8.

    Yesavage J. Geriatric Depression Scale Psychopharm Bull; 1988. p. 24.

    Google Scholar 

  9. 9.

    Wechsler D. WAIS-R Manual; 1981.

    Google Scholar 

  10. 10.

    Kim H, Na DL. Normative data on the Korean version of the Boston Naming Test. J Clin Exp Neuropsychol. 1999;21(1):127–33.

  11. 11.

    Kang Y, Na D. Seoul neuropsychological screening battery. Seoul: Human Brain Research & Consulting Co; 2003.

    Google Scholar 

  12. 12.

    Shin MS, Park SY, Park SR, Seol SH, Kwon JS. Clinical and empirical applications of the Rey-Osterrieth Complex Figure Test. Nat Protoc. 2006;1(2):892–99.

  13. 13.

    Kang Y, Chin J, Na D, Lee J, Park J. A normative study of the Korean version of Controlled Oral Word Association Test (COWAT) in the elderly. Korean J Clin Psychol. 2000;19(2):385–92.

  14. 14.

    Lee J, Kang Y, Na D. Efficiencies of stroop interference indexes in healthy older adults and dementia patients. Korean J Clin Psychol. 2000;19(4):807–18.

  15. 15.

    Rosenbaum PR, Rubin DB. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am Stat. 1985;39(1):33–38.

  16. 16.

    Petersen RC, Thomas RG, Grundman M, Bennett D, Doody R, Ferris S, et al. Vitamin E and donepezil for the treatment of mild cognitive impairment. N Engl J Med. 2005;352(23):2379–88.

  17. 17.

    Doody RS, Ferris SH, Salloway S, Sun Y, Goldman R, Watkins WE, et al. Donepezil treatment of patients with MCI: a 48-week randomized, placebocontrolled trial. Neurology. 2009;72(18):1555–61.

  18. 18.

    Salloway S, Ferris S, Kluger A, Goldman R, Griesing T, Kumar D, et al. Efficacy of donepezil in mild cognitive impairment: A randomized placebocontrolled trial. Neurology. 2004;63(4):651–7.

  19. 19.

    Feldman HH, Ferris S, Winblad B, Sfikas N, Mancione L, He Y, et al. Effect of rivastigmine on delay to diagnosis of Alzheimer's disease from mild cognitive impairment: the InDDEx study. Lancet Neurol. 2007;6(6):501–12.

  20. 20.

    Winblad B, Gauthier S, Scinto L, Feldman H, Wilcock GK, Truyen L, et al. Safety and efficacy of galantamine in subjects with mild cognitive impairment. Neurology. 2008;70(22):2024–35.

  21. 21.

    Hampel H, Mesulam MM, Cuello AC, Farlow MR, Giacobini E, Grossberg GT, et al. The cholinergic system in the pathophysiology and treatment of Alzheimer's disease. Brain. 2018;141(7):1917–33.

  22. 22.

    Arendt T, Brückner MK, Morawski M, Jäger C, Gertz HJ. Early neurone loss in Alzheimer's disease: cortical or subcortical? Acta Neuropathol Commun. 2015;3:10.

  23. 23.

    Mufson EJ, Counts SE, Perez SE, Ginsberg SD. Cholinergic system during the progression of Alzheimer's disease: therapeutic implications. Expert Rev Neurother. 2008;8(11):1703–18.

  24. 24.

    Petrella JR, Prince SE, Krishnan S, Husn H, Kelley L, Doraiswamy PM. Effects of donepezil on cortical activation in mild cognitive impairment: a pilot double-blind placebo-controlled trial using functional MR imaging. AJNR Am J Neuroradiol. 2009;30(2):411–6.

  25. 25.

    Dubois B, Chupin M, Hampel H, Lista S, Cavedo E, Croisile B, et al. Donepezil decreases annual rate of hippocampal atrophy in suspected prodromal Alzheimer's disease. Alzheimers Dement. 2015;11(9):1041–9.

  26. 26.

    Inestrosa NC, Alvarez A, Pérez CA, Moreno RD, Vicente M, Linker C, et al. Acetylcholinesterase accelerates assembly of amyloid-beta-peptides into Alzheimer's fibrils: possible role of the peripheral site of the enzyme. Neuron. 1996;16(4):881–91.

  27. 27.

    García-Ayllón MS, Small DH, Avila J, Sáez-Valero J. Revisiting the Role of Acetylcholinesterase in Alzheimer's Disease: Cross-Talk with P-tau and β-Amyloid. Front Mol Neurosci. 2011;4:22.

  28. 28.

    Tabet N. Acetylcholinesterase inhibitors for Alzheimer's disease: anti-inflammatories in acetylcholine clothing! Age Ageing. 2006;35(4):336–8.

  29. 29.

    Poirier J, Delisle MC, Quirion R, Aubert I, Farlow M, Lahiri D, et al. Apolipoprotein E4 allele as a predictor of cholinergic deficits and treatment outcome in Alzheimer disease. Proc Natl Acad Sci U S A. 1995;92(26):12260–4.

  30. 30.

    Bizzarro A, Marra C, Acciarri A, Valenza A, Tiziano FD, Brahe C, et al. Apolipoprotein E epsilon4 allele differentiates the clinical response to donepezil in Alzheimer's disease. Dement Geriatr Cogn Disord. 2005;20(4):254–61.

  31. 31.

    Waring JF, Tang Q, Robieson WZ, King DP, Das U, Dubow J, et al. APOE-ɛ4 Carrier Status and Donepezil Response in Patients with Alzheimer's Disease. J Alzheimers Dis. 2015;47(1):137–48.

  32. 32.

    Bott JB, Héraud C, Cosquer B, Herbeaux K, Aubert J, Sartori M, et al. APOE-Sensitive Cholinergic Sprouting Compensates for Hippocampal Dysfunctions Due to Reduced Entorhinal Input. J Neurosci. 2016;36(40):10472–86.

  33. 33.

    Ward A, Tardiff S, Dye C, Arrighi HM. Rate of conversion from prodromal Alzheimer’s dementia: A systematic review of the literature. Dement Geriatr Cogn Dis Extra. 2013;3(1):320–32.

Download references

Acknowledgements

Not applicable.

Funding

This study was not funded.

Author information

Affiliations

  1. Department of Neurology, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea

    Jung-Min Pyun, Nayoung Ryoo, Young Ho Park & SangYun Kim

Authors
  1. Jung-Min Pyun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nayoung Ryoo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Young Ho Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. SangYun Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JMP analyzed and interpreted the data and drafted the work. NR contributed to the acquisition of data. YHP interpreted the data and revised the manuscript. SYK designed the work, interpreted the data, and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to SangYun Kim.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the institutional review board of the Seoul National University Bundang Hospital (B-2006/618-109).

Consent for publication

Not applicable.

Competing interests

All authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Pyun, JM., Ryoo, N., Park, Y.H. et al. Change in cognitive function according to cholinesterase inhibitor use and amyloid PET positivity in patients with mild cognitive impairment. Alz Res Therapy 13, 10 (2021). https://doi.org/10.1186/s13195-020-00749-5

Download citation

Keywords

  • Mild cognitive impairment
  • Cholinesterase inhibitor
  • Amyloid burden
  • Cognitive change

Alzheimer's Research & Therapy

ISSN: 1758-9193