Skip to main content
Top
Published in: Alzheimer's Research & Therapy 1/2018

Open Access 01-12-2018 | Research

A biomarker study in long-lasting amnestic mild cognitive impairment

Authors: Chiara Cerami, Alessandra Dodich, Sandro Iannaccone, Giuseppe Magnani, Roberto Santangelo, Luca Presotto, Alessandra Marcone, Luigi Gianolli, Stefano F. Cappa, Daniela Perani

Published in: Alzheimer's Research & Therapy | Issue 1/2018

Login to get access

Abstract

Background

Mild cognitive impairment (MCI) is a heterogeneous syndrome resulting from Alzheimer’s disease (AD) as well as to non-AD and non-neurodegenerative conditions. A subset of patients with amnestic MCI (aMCI) present with an unusually long-lasting course, a slow rate of clinical neuropsychological progression, and evidence of focal involvement of medial temporal lobe structures. In the present study, we explored positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarkers in a sample of subjects with aMCI with such clinical features in order to provide in vivo evidence to improve disease characterisation in this subgroup.

Methods

Thirty consecutive subjects with aMCI who had long-lasting memory impairment (more than 4 years from symptom onset) and a very slow rate of cognitive progression were included. All subjects underwent fluorodeoxyglucose-positron emission tomography (FDG-PET) metabolic imaging. A measure of cerebral amyloid load, by PET and/or CSF, was obtained in 26 of 30 subjects. The mean clinical follow-up was 58.3 ± 10.1 months.

Results

No patient progressed to dementia during the follow-up. The typical AD FDG-PET pattern of temporoparietal hypometabolism was not present in any of the subjects. In contrast, a selective medial temporal lobe hypometabolism was present in all subjects, with an extension to frontolimbic regions in some subjects. PET imaging showed absent or low amyloid load in the majority of samples. The values were well below those reported in prodromal AD, and they were slightly elevated in only two subjects, consistent with the CSF β-amyloid (1–42) protein values. Notably, no amyloid load was present in the hippocampal structures.

Conclusions

FDG-PET and amyloid-PET together with CSF findings questioned AD pathology as a unique neuropathological substrate in this aMCI subgroup with long-lasting disease course. The possibility of alternative pathological conditions, such as argyrophilic grain disease, primary age-related tauopathy or age-related TDP-43 proteinopathy, known to spread throughout the medial temporal lobe and limbic system structures should be considered in these patients with MCI.
Literature
1.
2.
go back to reference Sarazin M, Berr C, De Rotrou J, Fabrigoule C, Pasquier F, Legrain S, et al. Amnestic syndrome of the medial temporal type identifies prodromal AD: a longitudinal study. Neurology. 2007;69:1859–67.CrossRefPubMed Sarazin M, Berr C, De Rotrou J, Fabrigoule C, Pasquier F, Legrain S, et al. Amnestic syndrome of the medial temporal type identifies prodromal AD: a longitudinal study. Neurology. 2007;69:1859–67.CrossRefPubMed
3.
go back to reference Dubois B, Feldman HH, Jacova C, Hampel H, Molinuevo JL, Blennow K, et al. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol. 2014;13(6):614–29.CrossRefPubMed Dubois B, Feldman HH, Jacova C, Hampel H, Molinuevo JL, Blennow K, et al. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol. 2014;13(6):614–29.CrossRefPubMed
4.
go back to reference Hornberger M, Piguet O, Graham AJ, Nestor PJ, Hodges JR. How preserved is episodic memory in behavioral variant frontotemporal dementia? Neurology. 2010;74(6):472–9.CrossRefPubMedPubMedCentral Hornberger M, Piguet O, Graham AJ, Nestor PJ, Hodges JR. How preserved is episodic memory in behavioral variant frontotemporal dementia? Neurology. 2010;74(6):472–9.CrossRefPubMedPubMedCentral
5.
7.
go back to reference Jack CR Jr, Knopman DS, Weigand SD, Wiste HJ, Vemuri P, Lowe V, et al. An operational approach to National Institute on Aging-Alzheimer’s Association criteria for preclinical Alzheimer disease. Ann Neurol. 2012;71(6):765–75.CrossRefPubMedPubMedCentral Jack CR Jr, Knopman DS, Weigand SD, Wiste HJ, Vemuri P, Lowe V, et al. An operational approach to National Institute on Aging-Alzheimer’s Association criteria for preclinical Alzheimer disease. Ann Neurol. 2012;71(6):765–75.CrossRefPubMedPubMedCentral
8.
go back to reference Wisse LE, Butala N, Das SR, Davatzikos C, Dickerson BC, Vaishnavi SN, et al. Suspected non-AD pathology in mild cognitive impairment. Neurobiol Aging. 2015;36(12):3152–62.CrossRefPubMedPubMedCentral Wisse LE, Butala N, Das SR, Davatzikos C, Dickerson BC, Vaishnavi SN, et al. Suspected non-AD pathology in mild cognitive impairment. Neurobiol Aging. 2015;36(12):3152–62.CrossRefPubMedPubMedCentral
9.
go back to reference Jack CR Jr, Knopman DS, Chételat G, Dickson D, Fagan AM, Frisoni GB, et al. Suspected non-Alzheimer disease pathophysiology—concept and controversy. Nat Rev Neurol. 2016;12(2):117–24.CrossRefPubMedPubMedCentral Jack CR Jr, Knopman DS, Chételat G, Dickson D, Fagan AM, Frisoni GB, et al. Suspected non-Alzheimer disease pathophysiology—concept and controversy. Nat Rev Neurol. 2016;12(2):117–24.CrossRefPubMedPubMedCentral
10.
go back to reference Marra C, Villa G, Quaranta D, Valenza A, Vita MG, Gainotti G. Probable Alzheimer’s disease patients presenting as “focal temporal lobe dysfunction” show a slow rate of cognitive decline. J Int Neuropsychol Soc. 2012;18(1):144–50.CrossRefPubMed Marra C, Villa G, Quaranta D, Valenza A, Vita MG, Gainotti G. Probable Alzheimer’s disease patients presenting as “focal temporal lobe dysfunction” show a slow rate of cognitive decline. J Int Neuropsychol Soc. 2012;18(1):144–50.CrossRefPubMed
11.
go back to reference Cappa A, Calcagni ML, Villa G, Giordano A, Marra C, De Rossi G. Brain perfusion abnormalities in Alzheimer’s disease: comparison between patients with focal temporal lobe dysfunction and patients with diffuse cognitive impairment. J Neurol Neurosurg Psychiatry. 2001;70(1):22–7.CrossRefPubMedPubMedCentral Cappa A, Calcagni ML, Villa G, Giordano A, Marra C, De Rossi G. Brain perfusion abnormalities in Alzheimer’s disease: comparison between patients with focal temporal lobe dysfunction and patients with diffuse cognitive impairment. J Neurol Neurosurg Psychiatry. 2001;70(1):22–7.CrossRefPubMedPubMedCentral
12.
go back to reference Murray ME, Graff-Radford NR, Ross OA, Petersen RC, Duara R, Dickson DW. Neuropathologically defined subtypes of Alzheimer’s disease with distinct clinical characteristics: a retrospective study. Lancet Neurol. 2011;10(9):785–96.CrossRefPubMedPubMedCentral Murray ME, Graff-Radford NR, Ross OA, Petersen RC, Duara R, Dickson DW. Neuropathologically defined subtypes of Alzheimer’s disease with distinct clinical characteristics: a retrospective study. Lancet Neurol. 2011;10(9):785–96.CrossRefPubMedPubMedCentral
13.
go back to reference Whitwell JL, Dickson DW, Murray ME, Weigand SD, Tosakulwong N, Senjem ML, et al. Neuroimaging correlates of pathologically defined subtypes of Alzheimer’s disease: a case-control study. Lancet Neurol. 2012;11(10):868–77.CrossRefPubMedPubMedCentral Whitwell JL, Dickson DW, Murray ME, Weigand SD, Tosakulwong N, Senjem ML, et al. Neuroimaging correlates of pathologically defined subtypes of Alzheimer’s disease: a case-control study. Lancet Neurol. 2012;11(10):868–77.CrossRefPubMedPubMedCentral
14.
go back to reference Prestia A, Caroli A, van der Flier WM, Ossenkoppele R, Van Berckel B, Barkhof F, et al. Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease. Neurology. 2013;80(11):1048–56.CrossRefPubMed Prestia A, Caroli A, van der Flier WM, Ossenkoppele R, Van Berckel B, Barkhof F, et al. Prediction of dementia in MCI patients based on core diagnostic markers for Alzheimer disease. Neurology. 2013;80(11):1048–56.CrossRefPubMed
15.
go back to reference Petersen RC, Aisen P, Boeve BF, Geda YE, Ivnik RJ, Knopman DS, et al. Mild cognitive impairment due to Alzheimer disease in the community. Ann Neurol. 2013;74(2):199–208.PubMedPubMedCentral Petersen RC, Aisen P, Boeve BF, Geda YE, Ivnik RJ, Knopman DS, et al. Mild cognitive impairment due to Alzheimer disease in the community. Ann Neurol. 2013;74(2):199–208.PubMedPubMedCentral
16.
go back to reference Duara R, Loewenstein DA, Shen Q, Barker W, Potter E, Varon D, et al. Amyloid positron emission tomography with 18F-flutemetamol and structural magnetic resonance imaging in the classification of mild cognitive impairment and Alzheimer’s disease. Alzheimers Dement. 2013;9(3):295–301.CrossRefPubMed Duara R, Loewenstein DA, Shen Q, Barker W, Potter E, Varon D, et al. Amyloid positron emission tomography with 18F-flutemetamol and structural magnetic resonance imaging in the classification of mild cognitive impairment and Alzheimer’s disease. Alzheimers Dement. 2013;9(3):295–301.CrossRefPubMed
17.
go back to reference Caroli A, Prestia A, Galluzzi S, Ferrari C, van der Flier WM, Ossenkoppele R, et al. Mild cognitive impairment with suspected non-amyloid pathology (SNAP): prediction of progression. Neurology. 2015;84(5):508–15.CrossRefPubMedPubMedCentral Caroli A, Prestia A, Galluzzi S, Ferrari C, van der Flier WM, Ossenkoppele R, et al. Mild cognitive impairment with suspected non-amyloid pathology (SNAP): prediction of progression. Neurology. 2015;84(5):508–15.CrossRefPubMedPubMedCentral
18.
go back to reference Coan AC, Kubota B, Bergo FP, Campos BM, Cendes F. 3T MRI quantification of hippocampal volume and signal in mesial temporal lobe epilepsy improves detection of hippocampal sclerosis. AJNR Am J Neuroradiol. 2014;35(1):77–83.CrossRefPubMed Coan AC, Kubota B, Bergo FP, Campos BM, Cendes F. 3T MRI quantification of hippocampal volume and signal in mesial temporal lobe epilepsy improves detection of hippocampal sclerosis. AJNR Am J Neuroradiol. 2014;35(1):77–83.CrossRefPubMed
19.
go back to reference Sjogren M, Vanderstichele H, Agren H, Zachrisson O, Edsbagge M, Wikkelso C, et al. Tau and Aβ42 in cerebrospinal fluid from healthy adults 21–93 years of age: establishment of reference values. Clin Chem. 2001;47(10):1776–81.PubMed Sjogren M, Vanderstichele H, Agren H, Zachrisson O, Edsbagge M, Wikkelso C, et al. Tau and Aβ42 in cerebrospinal fluid from healthy adults 21–93 years of age: establishment of reference values. Clin Chem. 2001;47(10):1776–81.PubMed
20.
go back to reference Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Någren K, et al. EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2. Eur J Nucl Med Mol Imaging. 2009;36(12):2103–10.CrossRefPubMed Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Någren K, et al. EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2. Eur J Nucl Med Mol Imaging. 2009;36(12):2103–10.CrossRefPubMed
21.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
22.
go back to reference Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, et al. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting. Neuroimage Clin. 2014;6:445–54.CrossRefPubMedPubMedCentral Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, et al. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting. Neuroimage Clin. 2014;6:445–54.CrossRefPubMedPubMedCentral
23.
go back to reference Perani D, Cerami C, Caminiti SP, Santangelo R, Coppi E, Ferrari L, et al. Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting. Eur J Nucl Med Mol Imaging. 2016;43(3):499–508.CrossRefPubMed Perani D, Cerami C, Caminiti SP, Santangelo R, Coppi E, Ferrari L, et al. Cross-validation of biomarkers for the early differential diagnosis and prognosis of dementia in a clinical setting. Eur J Nucl Med Mol Imaging. 2016;43(3):499–508.CrossRefPubMed
24.
go back to reference Cerami C, Della Rosa PA, Magnani G, Santangelo R, Marcone A, Cappa SF, et al. Brain metabolic maps in mild cognitive impairment predict heterogeneity of progression to dementia. Neuroimage Clin. 2014;7:187–94.CrossRefPubMedPubMedCentral Cerami C, Della Rosa PA, Magnani G, Santangelo R, Marcone A, Cappa SF, et al. Brain metabolic maps in mild cognitive impairment predict heterogeneity of progression to dementia. Neuroimage Clin. 2014;7:187–94.CrossRefPubMedPubMedCentral
25.
go back to reference Presotto L, Ballarini T, Caminiti SP, Bettinardi V, Gianolli L, Perani D. Validation of 18F-FDG-PET single-subject optimized SPM procedure with different PET scanners. Neuroinformatics. 2017;15(2):151–63.CrossRefPubMed Presotto L, Ballarini T, Caminiti SP, Bettinardi V, Gianolli L, Perani D. Validation of 18F-FDG-PET single-subject optimized SPM procedure with different PET scanners. Neuroinformatics. 2017;15(2):151–63.CrossRefPubMed
26.
go back to reference Bettinardi V, Presotto L, Rapisarda E, Picchio M, Gianolli L, Gilardi MC. Physical performance of the new hybrid PET∕CT Discovery-690. Med Phys. 2011;38:5394–411.CrossRefPubMed Bettinardi V, Presotto L, Rapisarda E, Picchio M, Gianolli L, Gilardi MC. Physical performance of the new hybrid PET∕CT Discovery-690. Med Phys. 2011;38:5394–411.CrossRefPubMed
27.
go back to reference Villemagne VL, Ong K, Mulligan RS, Holl G, Pejoska S, Jones G, et al. Amyloid imaging with 18F-florbetaben in Alzheimer disease and other dementias. J Nucl Med. 2011;52(8):1210–7.CrossRefPubMed Villemagne VL, Ong K, Mulligan RS, Holl G, Pejoska S, Jones G, et al. Amyloid imaging with 18F-florbetaben in Alzheimer disease and other dementias. J Nucl Med. 2011;52(8):1210–7.CrossRefPubMed
28.
go back to reference Lewczuk P, Zimmermann R, Wiltfang J, Kornhuber J. Neurochemical dementia diagnostics: a simple algorithm for interpretation of the CSF biomarkers. J Neural Transm. 2009;116(9):1163–7.CrossRefPubMed Lewczuk P, Zimmermann R, Wiltfang J, Kornhuber J. Neurochemical dementia diagnostics: a simple algorithm for interpretation of the CSF biomarkers. J Neural Transm. 2009;116(9):1163–7.CrossRefPubMed
29.
go back to reference Lewczuk P, Kornhuber J, Network GDC, Toledo JB, Trojanowski JQ, Knapik-Czajka M, et al. Validation of the Erlangen score algorithm for the prediction of the development of dementia due to Alzheimer’s disease in pre-dementia subjects. J Alzheimers Dis. 2015;48(2):433–41.CrossRefPubMedPubMedCentral Lewczuk P, Kornhuber J, Network GDC, Toledo JB, Trojanowski JQ, Knapik-Czajka M, et al. Validation of the Erlangen score algorithm for the prediction of the development of dementia due to Alzheimer’s disease in pre-dementia subjects. J Alzheimers Dis. 2015;48(2):433–41.CrossRefPubMedPubMedCentral
30.
go back to reference Shaw LM, Vanderstichele H, Knapik-Czajka M, Clark CM, Aisen PS, Petersen RC, et al. Cerebrospinal fluid biomarker signature in Alzheimer’s disease neuroimaging initiative subjects. Ann Neurol. 2009;65(4):403–13.CrossRefPubMedPubMedCentral Shaw LM, Vanderstichele H, Knapik-Czajka M, Clark CM, Aisen PS, Petersen RC, et al. Cerebrospinal fluid biomarker signature in Alzheimer’s disease neuroimaging initiative subjects. Ann Neurol. 2009;65(4):403–13.CrossRefPubMedPubMedCentral
31.
go back to reference Rowe CC, Ackerman U, Browne W, Mulligan R, Pike KL, O’Keefe G, et al. Imaging of amyloid β in Alzheimer’s disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism. Lancet Neurol. 2008;7(2):129–35.CrossRefPubMed Rowe CC, Ackerman U, Browne W, Mulligan R, Pike KL, O’Keefe G, et al. Imaging of amyloid β in Alzheimer’s disease with 18F-BAY94-9172, a novel PET tracer: proof of mechanism. Lancet Neurol. 2008;7(2):129–35.CrossRefPubMed
32.
go back to reference Villemagne VL, Mulligan RS, Pejoska S, Ong K, Jones G, O’Keefe G, et al. Comparison of 11C-PiB and 18F-florbetaben for Aβ imaging in ageing and Alzheimer’s disease. Eur J Nucl Med Mol Imaging. 2012;39(6):983–9.CrossRefPubMed Villemagne VL, Mulligan RS, Pejoska S, Ong K, Jones G, O’Keefe G, et al. Comparison of 11C-PiB and 18F-florbetaben for Aβ imaging in ageing and Alzheimer’s disease. Eur J Nucl Med Mol Imaging. 2012;39(6):983–9.CrossRefPubMed
33.
go back to reference Ong KT, Villemagne VL, Bahar-Fuchs A, Lamb F, Chételat G. Raniga P, et al. 18F-florbetaben Aβ imaging in mild cognitive impairment. Alzheimers Res Ther. 2013;5(1):4.CrossRefPubMedPubMedCentral Ong KT, Villemagne VL, Bahar-Fuchs A, Lamb F, Chételat G. Raniga P, et al. 18F-florbetaben Aβ imaging in mild cognitive impairment. Alzheimers Res Ther. 2013;5(1):4.CrossRefPubMedPubMedCentral
34.
go back to reference Ong KT, Villemagne VL, Bahar-Fuchs A, Lamb F, Langdon N, Catafau AM, et al. Aβ imaging with 18F-florbetaben in prodromal Alzheimer’s disease: a prospective outcome study. J Neurol Neurosurg Psychiatry. 2015;86(4):431–6.CrossRefPubMed Ong KT, Villemagne VL, Bahar-Fuchs A, Lamb F, Langdon N, Catafau AM, et al. Aβ imaging with 18F-florbetaben in prodromal Alzheimer’s disease: a prospective outcome study. J Neurol Neurosurg Psychiatry. 2015;86(4):431–6.CrossRefPubMed
35.
go back to reference Becker GA, Ichise M, Barthel H, Luthardt J, Patt M, Seese A, et al. PET quantification of 18F-florbetaben binding to β-amyloid deposits in human brains. J Nucl Med. 2013;54(5):723–31.CrossRefPubMed Becker GA, Ichise M, Barthel H, Luthardt J, Patt M, Seese A, et al. PET quantification of 18F-florbetaben binding to β-amyloid deposits in human brains. J Nucl Med. 2013;54(5):723–31.CrossRefPubMed
36.
go back to reference Teipel S, Grothe MJ, Alzheimer’s Disease Neuroimaging Initiative. Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer’s disease? Eur J Nucl Med Mol Imaging. 2016;43(3):526–36.CrossRefPubMed Teipel S, Grothe MJ, Alzheimer’s Disease Neuroimaging Initiative. Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer’s disease? Eur J Nucl Med Mol Imaging. 2016;43(3):526–36.CrossRefPubMed
37.
go back to reference Cerami C, Dodich A, Iannaccone S, Marcone A, Lettieri G, Crespi C, et al. Right limbic FDG-PET hypometabolism correlates with emotion recognition and attribution in probable behavioral variant of frontotemporal dementia patients. PLoS One. 2015;10(10):e0141672.CrossRefPubMedPubMedCentral Cerami C, Dodich A, Iannaccone S, Marcone A, Lettieri G, Crespi C, et al. Right limbic FDG-PET hypometabolism correlates with emotion recognition and attribution in probable behavioral variant of frontotemporal dementia patients. PLoS One. 2015;10(10):e0141672.CrossRefPubMedPubMedCentral
38.
go back to reference Cerami C, Dodich A, Lettieri G, Marcone A, Lettieri G, Crespi C, et al. Different FDG-PET metabolic patterns at single-subject level in the behavioral variant of frontotemporal dementia. Cortex. 2016;83:101–12.CrossRefPubMed Cerami C, Dodich A, Lettieri G, Marcone A, Lettieri G, Crespi C, et al. Different FDG-PET metabolic patterns at single-subject level in the behavioral variant of frontotemporal dementia. Cortex. 2016;83:101–12.CrossRefPubMed
39.
go back to reference Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134(9):2456–77.CrossRefPubMedPubMedCentral Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134(9):2456–77.CrossRefPubMedPubMedCentral
40.
go back to reference Chételat G, La Joie R, Villain N, et al. Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer’s disease. Neuroimage Clin. 2013;2:356–65.CrossRefPubMedPubMedCentral Chételat G, La Joie R, Villain N, et al. Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer’s disease. Neuroimage Clin. 2013;2:356–65.CrossRefPubMedPubMedCentral
41.
go back to reference Braak H, Braak E. Cortical and subcortical argyrophilic grains characterize a disease associated with adult onset dementia. Neuropathol Appl Neurobiol. 1989;15:13–26.CrossRefPubMed Braak H, Braak E. Cortical and subcortical argyrophilic grains characterize a disease associated with adult onset dementia. Neuropathol Appl Neurobiol. 1989;15:13–26.CrossRefPubMed
42.
go back to reference Abner EL, Kryscio RJ, Schmitt FA, Fardo DW, Moga DC, Ighodaro ET, et al. Outcomes after diagnosis of mild cognitive impairment in a large autopsy series. Ann Neurol. 2017;81(4):549–59.CrossRefPubMedPubMedCentral Abner EL, Kryscio RJ, Schmitt FA, Fardo DW, Moga DC, Ighodaro ET, et al. Outcomes after diagnosis of mild cognitive impairment in a large autopsy series. Ann Neurol. 2017;81(4):549–59.CrossRefPubMedPubMedCentral
43.
go back to reference Thal DR, Schultz C, Botez G, Del Tredici K, Mrak RE, Griffin WS, et al. The impact of argyrophilic grain disease on the development of dementia and its relationship to concurrent Alzheimer’s disease-related pathology. Neuropathol Appl Neurobiol. 2005;31(3):270–9.CrossRefPubMed Thal DR, Schultz C, Botez G, Del Tredici K, Mrak RE, Griffin WS, et al. The impact of argyrophilic grain disease on the development of dementia and its relationship to concurrent Alzheimer’s disease-related pathology. Neuropathol Appl Neurobiol. 2005;31(3):270–9.CrossRefPubMed
44.
go back to reference Togo T, Isojima D, Akatsu H, Suzuki K, Uchikado H, Katsuse O, et al. Clinical features of argyrophilic grain disease: a retrospective survey of cases with neuropsychiatric symptoms. Am J Geriatr Psychiatry. 2005;13(12):1083–91.CrossRefPubMed Togo T, Isojima D, Akatsu H, Suzuki K, Uchikado H, Katsuse O, et al. Clinical features of argyrophilic grain disease: a retrospective survey of cases with neuropsychiatric symptoms. Am J Geriatr Psychiatry. 2005;13(12):1083–91.CrossRefPubMed
45.
go back to reference Saito Y, Yamazaki M, Kanazawa I, Murayama S. Severe involvement of the ambient gyrus in a case of dementia with argyrophilic grain disease. J Neurol Sci. 2002;196(1-2):71–5.CrossRefPubMed Saito Y, Yamazaki M, Kanazawa I, Murayama S. Severe involvement of the ambient gyrus in a case of dementia with argyrophilic grain disease. J Neurol Sci. 2002;196(1-2):71–5.CrossRefPubMed
46.
go back to reference Adachi T, Saito Y, Hatsuta H, Funabe S, Tokumaru AM, Ishii K, et al. Neuropathological asymmetry in argyrophilic grain disease. J Neuropathol Exp Neurol. 2010;69(7):737–44.CrossRefPubMed Adachi T, Saito Y, Hatsuta H, Funabe S, Tokumaru AM, Ishii K, et al. Neuropathological asymmetry in argyrophilic grain disease. J Neuropathol Exp Neurol. 2010;69(7):737–44.CrossRefPubMed
47.
go back to reference Crary JF, Trojanowski JQ, Schneider JA, Abisambra JF, Abner EL, Alafuzoff I, et al. Primary age-related tauopathy (PART): a common pathology associated with human aging. Acta Neuropathol. 2014;128(6):755–66.CrossRefPubMedPubMedCentral Crary JF, Trojanowski JQ, Schneider JA, Abisambra JF, Abner EL, Alafuzoff I, et al. Primary age-related tauopathy (PART): a common pathology associated with human aging. Acta Neuropathol. 2014;128(6):755–66.CrossRefPubMedPubMedCentral
48.
go back to reference Nag S, Yu L, Wilson RS, Chen EY, Bennett DA, Schneider JA. TDP-43 pathology and memory impairment in elders without pathologic diagnoses of AD or FTLD. Neurology. 2017;88(7):653–60.CrossRefPubMedPubMedCentral Nag S, Yu L, Wilson RS, Chen EY, Bennett DA, Schneider JA. TDP-43 pathology and memory impairment in elders without pathologic diagnoses of AD or FTLD. Neurology. 2017;88(7):653–60.CrossRefPubMedPubMedCentral
Metadata
Title
A biomarker study in long-lasting amnestic mild cognitive impairment
Authors
Chiara Cerami
Alessandra Dodich
Sandro Iannaccone
Giuseppe Magnani
Roberto Santangelo
Luca Presotto
Alessandra Marcone
Luigi Gianolli
Stefano F. Cappa
Daniela Perani
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Alzheimer's Research & Therapy / Issue 1/2018
Electronic ISSN: 1758-9193
DOI
https://doi.org/10.1186/s13195-018-0369-8

Other articles of this Issue 1/2018

Alzheimer's Research & Therapy 1/2018 Go to the issue