Nichols E, Steinmetz JD, Vollset SE et al (2022) Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health 7:e105–e125. https://doi.org/10.1016/s2468-2667(21)00249-8
Galimberti D, Scarpini E (2011) Disease-modifying treatments for Alzheimer’s disease. Ther Adv Neurol Disord 4:203–216. https://doi.org/10.1177/1756285611404470
Article CAS PubMed PubMed Central Google Scholar
Dubois B, Hampel H, Feldman HH et al (2016) Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria. Alzheimers Dement 12:292–323. https://doi.org/10.1016/j.jalz.2016.02.002
Cassani R, Estarellas M, San-Martin R et al (2018) Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment. Dis Markers 2018:1–26. https://doi.org/10.1155/2018/5174815
Paitel ER, Samii MR, Nielson KA (2021) A systematic review of cognitive event-related potentials in mild cognitive impairment and Alzheimer’s disease. Behav Brain Res 396:112904. https://doi.org/10.1016/j.bbr.2020.112904
Article CAS PubMed Google Scholar
McKeith IG, Boeve BF, Dickson DW et al (2017) Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB consortium. Neurology 89:88–100. https://doi.org/10.1212/wnl.0000000000004058
Article PubMed PubMed Central Google Scholar
Law ZK, Todd C, Mehraram R et al (2020) The role of EEG in the diagnosis, prognosis and clinical correlations of dementia with lewy bodies—a systematic review. Diagnostics 10:616. https://doi.org/10.3390/diagnostics10090616
Article PubMed PubMed Central Google Scholar
Cromarty RA, Elder GJ, Graziadio S et al (2016) Neurophysiological biomarkers for Lewy body dementias. Clin Neurophysiol 127:349–359. https://doi.org/10.1016/j.clinph.2015.06.020
Article PubMed PubMed Central Google Scholar
Lindau M, Jelic V, Johansson S-E et al (2003) Quantitative EEG abnormalities and cognitive dysfunctions in frontotemporal dementia and Alzheimer’s disease. Dement Geriatr Cogn Disord 15:106–114. https://doi.org/10.1159/000067973
Article CAS PubMed Google Scholar
Caso F, Cursi M, Magnani G et al (2012) Quantitative EEG and LORETA: valuable tools in discerning FTD from AD? Neurobiol Aging 33:2343–2356. https://doi.org/10.1016/j.neurobiolaging.2011.12.011
Dubois B, Feldman HH, Jacova C 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
Page MJ, McKenzie JE, Bossuyt PM, et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ n71. https://doi.org/10.1136/bmj.n71
Jack CR, Bennett DA, Blennow K et al (2016) A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology 87:539–547. https://doi.org/10.1212/WNL.0000000000002923
Article CAS PubMed PubMed Central Google Scholar
Albert MS, DeKosky ST, Dickson D et al (2011) The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 7:270–279. https://doi.org/10.1016/j.jalz.2011.03.008
Rascovsky K, Hodges JR, Knopman D 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
Article PubMed PubMed Central Google Scholar
Gorno-Tempini ML, Hillis AE, Weintraub S et al (2011) Classification of primary progressive aphasia and its variants. Neurology 76:1006–1014. https://doi.org/10.1212/wnl.0b013e31821103e6
Article PubMed PubMed Central Google Scholar
McKeith IG, Dickson DW, Lowe J et al (2005) Diagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium. Neurology 65:1863–1872. https://doi.org/10.1212/01.wnl.0000187889.17253.b1
Article CAS PubMed Google Scholar
McKeith IG, Ferman TJ, Thomas AJ et al (2020) Research criteria for the diagnosis of prodromal dementia with Lewy bodies. Neurology 94:743–755. https://doi.org/10.1212/WNL.0000000000009323
Article PubMed PubMed Central Google Scholar
Babiloni C, Del Percio C, Lizio R et al (2017) Abnormalities of cortical neural synchronization mechanisms in subjects with mild cognitive impairment due to Alzheimer’s and Parkinson’s diseases: An EEG study. J Alzheimers Dis 59:339–358. https://doi.org/10.3233/jad-160883
Article CAS PubMed Google Scholar
Babiloni C, Ferri R, Noce G et al (2021) Abnormalities of cortical sources of resting state alpha electroencephalographic rhythms are related to education attainment in cognitively unimpaired seniors and patients with Alzheimer’s disease and amnesic mild cognitive impairment. Cereb Cortex 31:2220–2237. https://doi.org/10.1093/cercor/bhaa356
Babiloni C, Ferri R, Noce G et al (2021) Resting state alpha electroencephalographic rhythms are differently related to aging in cognitively unimpaired seniors and patients with Alzheimer’s disease and amnesic mild cognitive impairment. J Alzheimers Dis 82:1085–1114. https://doi.org/10.3233/jad-201271
Article CAS PubMed Google Scholar
Polverino P, Ajčević M, Catalan M et al (2022) Brain oscillatory patterns in mild cognitive impairment due to Alzheimer’s and Parkinson’s disease: An exploratory high-density EEG study. Clin Neurophysiol 138:1–8. https://doi.org/10.1016/j.clinph.2022.01.136
Cecchetti G, Agosta F, Basaia S et al (2021) Resting-state electroencephalographic biomarkers of Alzheimer’s disease. NeuroImage Clin 31:102711. https://doi.org/10.1016/j.nicl.2021.102711
Article PubMed PubMed Central Google Scholar
Zhang H, Geng X, Wang Y et al (2021) The significance of EEG alpha oscillation spectral power and beta oscillation phase synchronization for diagnosing probable Alzheimer disease. Front Aging Neurosci 13:631587. https://doi.org/10.3389/fnagi.2021.631587
Article PubMed PubMed Central Google Scholar
Rodriguez R, Lopera F, Alvarez A et al (2014) Spectral analysis of EEG in familial Alzheimer’s disease with E280A presenilin-1 mutation gene. Int J Alzheimers Dis 2014:1–10. https://doi.org/10.1155/2014/180741
Maturana-Candelas A, Gómez C, Poza J et al (2020) Inter-band bispectral analysis of EEG background activity to characterize Alzheimer’s disease continuum. Front Comput Neurosci 14:70. https://doi.org/10.3389/fncom.2020.00070
Article PubMed PubMed Central Google Scholar
Smailovic U, Koenig T, Kåreholt I et al (2018) Quantitative EEG power and synchronization correlate with Alzheimer’s disease CSF biomarkers. Neurobiol Aging 63:88–95. https://doi.org/10.1016/j.neurobiolaging.2017.11.005
Article CAS PubMed Google Scholar
Briels CT, Schoonhoven DN, Stam CJ et al (2020) Reproducibility of EEG functional connectivity in Alzheimer’s disease. Alzheimers Res Ther 12:68. https://doi.org/10.1186/s13195-020-00632-3
Article PubMed PubMed Central Google Scholar
Revilla-Vallejo M, Poza J, Gomez-Pilar J et al (2021) Exploring the alterations in the distribution of neural network weights in dementia due to Alzheimer’s disease. Entropy 23:500. https://doi.org/10.3390/e23050500
Article PubMed PubMed Central Google Scholar
Maturana-Candelas A, Gómez C, Poza J et al (2019) EEG Characterization of the Alzheimer’s disease continuum by means of multiscale entropies. Entropy 21:544. https://doi.org/10.3390/e21060544
Comments (0)