EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features

Al-Qazzaz NK, Shbmd A, Ahmad SA, Chellappan K, Islam MdS, Escudero J (2014) Role of EEG as biomarker in the early detection and classification of dementia. Sci World J 2014:1–16. https://doi.org/10.1155/2014/906038

Article  Google Scholar 

Bajaj N (2021) Wavelets for EEG analysis. Wavelet Theory. https://doi.org/10.5772/intechopen.94398

Article  Google Scholar 

Barreira L (2017) Lyapunov exponents and regularity. Lyapunov Exp 2017:31–41. https://doi.org/10.1007/978-3-319-71261-1_2

Article  Google Scholar 

Briggs R, Kennelly SP, O’Neill D (2016) Drug treatments in Alzheimer’s disease. Clin Med 16:247–253. https://doi.org/10.7861/clinmedicine.16-3-247

Article  Google Scholar 

Britannica T (2023) Editors of Encyclopaedia Euclidean space. Encyclopedia Britannica. https://www.britannica.com/science/Euclidean-space

De Leon M, George A, Stylopoulos L, Smith G, Miller D (1989) Early marker for Alzheimer’s disease: the atrophic hippocampus. Lancet 334:672–673. https://doi.org/10.1016/s0140-6736(89)90911-2

Article  Google Scholar 

Delgado-Bonal A, Marshak A (2019) Approximate entropy and sample entropy: a comprehensive tutorial. Entropy 21:541. https://doi.org/10.3390/e21060541

Article  PubMed  PubMed Central  Google Scholar 

Dickinson A, Daniel M, Marin A, Gaonkar B, Dapretto M, McDonald NM, Jeste S (2021) Multivariate neural connectivity patterns in early infancy predict later autism symptoms. Biol Psychiatry Cogn Neurosci Neuroimag 6:59–69. https://doi.org/10.1016/j.bpsc.2020.06.003

Article  Google Scholar 

Du A-T, Schuff N, Kramer JH, Rosen HJ, Gorno-Tempini ML, Rankin K, Miller BL, Weiner MW (2006) Different regional patterns of cortical thinning in Alzheimer’s disease and frontotemporal dementia. Brain 130:1159–1166. https://doi.org/10.1093/brain/awm016

Article  Google Scholar 

Fiorenzato E, Moaveninejad S, Weis L, Biundo R, Antonini A, Porcaro C (2023) Brain dynamics complexity as a signature of cognitive decline in Parkinson’s disease. Mov Disord 39:305–317. https://doi.org/10.1002/mds.29678

Article  CAS  PubMed  Google Scholar 

Förstl H, Kurz A (1999) Clinical features of Alzheimer’s disease. Eur Arch Psychiatry Clin Neurosci 249:288–290. https://doi.org/10.1007/s004060050101

Article  PubMed  Google Scholar 

Gale SA, Acar D, Daffner KR (2018) Dementia. Am J Med 2018(131):1161–1169. https://doi.org/10.1016/j.amjmed.2018.01.022

Article  Google Scholar 

Garehdaghi F, Sarbaz Y (2023) Analyzing global features of magnetic resonance images in widespread neurodegenerative diseases: new hope to understand brain mechanism and robust neurodegenerative disease diagnosis. Med Biol Eng Comput 61:773–784. https://doi.org/10.1007/s11517-022-02748-0

Article  PubMed  Google Scholar 

Guerrero L-D, Romero LD, Bueno-Lopez M (2021) A review of epileptic seizure detection using EEG signals analysis in the time and frequency domain. In: 2021 IEEE 21st international conference on communication technology (ICCT). https://doi.org/10.1109/ICCT52962.2021.9657835

Hu J, Qing Z, Liu R, Zhang X, Lv P, Wang M, Wang Y, He K, Gao Y, Zhang B (2021) Deep learning-based classification and voxel-based visualization of frontotemporal dementia and Alzheimer’s disease. Front Neurosci 14:626154. https://doi.org/10.3389/fnins.2020.626154

Article  PubMed  PubMed Central  Google Scholar 

Huang C, Wahlund L-O, Dierks T, Julin P, Winblad B, Jelic V (2000) Discrimination of Alzheimer’s disease and mild cognitive impairment by equivalent EEG sources: a cross-sectional and longitudinal study. Clin Neurophysiol 111:1961–1967. https://doi.org/10.1016/s1388-2457(00)00454-5

Article  CAS  PubMed  Google Scholar 

Ibrahim B, Suppiah S, Ibrahim N, Mohamad M, Hassan HA, Nasser NS, Saripan MI (2021) Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer’s disease and mild cognitive impairment: a systematic review. Hum Brain Mapp 42:2941–2968. https://doi.org/10.1002/hbm.25369

Article  PubMed  PubMed Central  Google Scholar 

Keene J, Hope T, Fairburn CG, Jacoby R (2001) Death and dementia. Int J Geriat Psychiatry 16:969–974. https://doi.org/10.1002/gps.474

Article  CAS  Google Scholar 

Kraemer HC, Taylor JL, Tinklenberg JR, Yesavage JA (1998) The stages of Alzheimer’s disease: a reappraisal. Dement Geriatr Cogn Disord 9:299–308. https://doi.org/10.1159/000017081

Article  CAS  PubMed  Google Scholar 

Kurlan R, Richard IH, Papka M, Marshall F (2000) Movement disorders in Alzheimer’s disease: More rigidity of definitions is needed. Mov Disord 15:24–29. https://doi.org/10.1002/1531-8257(200001)15:1%3c24::aid-mds1006%3e3.0.co;2-x

Article  CAS  PubMed  Google Scholar 

Lane CA, Hardy J, Schott JM (2017) Alzheimer’s disease. Eur J Neurol 2017(25):59–70. https://doi.org/10.1111/ene.13439

Article  Google Scholar 

Lindau M, Jelic V, Johansson S-E, Andersen C, Wahlund L-O, Almkvist O (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 

Liu C, Jiang Z, Liu S, Chu C, Wang J, Liu W, Sun Y, Dong M, Shi Q, Huang P, Zhu X (2023) Frequency-dependent microstate characteristics for mild cognitive impairment in Parkinson’s disease. IEEE Trans Neural Syst Rehab Eng 31:4115–4124. https://doi.org/10.1109/TNSRE.2023.3324343

Article  Google Scholar 

Meghdadi AH, Karic MS, Berka C (2019) EEG analytics: benefits and challenges of data driven EEG biomarkers for neurodegenerative diseases. In: 2019 IEEE international conference on systems, man and cybernetics (SMC). https://doi.org/10.1109/smc.2019.8914065

Melissant C, Ypma A, Frietman EEE, Stam CJ (2005) A method for detection of Alzheimer’s disease using ICA-enhanced EEG measurements. Artif Intell Med 33:209–222. https://doi.org/10.1016/j.artmed.2004.07.003

Article  PubMed  Google Scholar 

Miltiadous A, Tzimourta KD, Giannakeas N, Tsipouras MG, Afrantou T, Ioannidis P, Tzallas A (2021) Alzheimer’s disease and frontotemporal dementia: a robust classification method of EEG signals and a comparison of validation methods. Diagnostics 11:1437. https://doi.org/10.3390/diagnostics11081437

Article  PubMed  PubMed Central  Google Scholar 

Miltiadous A, Gionanidis E, Tzimourta KD, Giannakeas N, Tzallas AT (2023a) DICE-Net: a novel convolution-transformer architecture for Alzheimer detection in EEG signals. IEEE Access 11:71840–71858. https://doi.org/10.1109/ACCESS.2023.3294618

Article  Google Scholar 

Miltiadous A, Tzimourta KD, Afrantou T, Ioannidis P, Grigoriadis N, Tsalikakis DG, Angelidis P, Tsipouras MG, Glavas E, Giannakeas N, Tzallas AT (2023b) A dataset of 88 EEG recordings from: Alzheimer’s disease, Frontotemporal dementia and Healthy subjects. 10.18112/OPENNEURO.DS004504.V1.0.5

Miltiadous A, Tzimourta KD, Afrantou T, Ioannidis P, Grigoriadis N, Tsalikakis DG, Angelidis P, Tsipouras MG, Glavas E, Giannakeas N, Tzallas AT (2023c) A dataset of scalp EEG recordings of Alzheimer’s disease, frontotemporal dementia and healthy subjects from routine EEG. Data 8:95. https://doi.org/10.3390/data8060095

Article  Google Scholar 

Mioshi E, Hsieh S, Savage S, Hornberger M, Hodges JR (2010) Clinical staging and disease progression in frontotemporal dementia. Neurology 74:1591–1597. https://doi.org/10.1212/wnl.0b013e3181e04070

Article  CAS  PubMed  Google Scholar 

Musa G, Slachevsky A, Muñoz-Neira C, Méndez-Orellana C, Villagra R, González-Billault C, Ibáñez A, Hornberger M, Lillo P (2020) Alzheimer’s disease or behavioral variant frontotemporal dementia: review of key points toward an accurate clinical and neuropsychological diagnosis. JAD 73:833–848. https://doi.org/10.3233/jad-190924

Article  PubMed  Google Scholar 

Najafzadeh H, Esmaeili M, Farhang S, Sarbaz Y, Rasta SH (2021) Automatic classification of schizophrenia patients using resting-state EEG signals. Phys Eng Sci Med 44:855–870. https://doi.org/10.1007/s13246-021-01038-7

Article  PubMed  Google Scholar 

Nishida K, Yoshimura M, Isotani T, Yoshida T, Kitaura Y, Saito A, Mii H, Kato M, Takekita Y, Suwa A, Morita S, Kinoshita T (2011) Differences in quantitative EEG between frontotemporal dementia and Alzheimer’s disease as revealed by LORETA. Clin Neurophysiol 122:1718–1725. https://doi.org/10.1016/j.clinph.2011.02.011

Article  CAS  PubMed  Google Scholar 

Olney NT, Spina S, Miller BL (2017) Frontotemporal dementia. Neurol Clin 2017(35):339–374. https://doi.org/10.1016/j.ncl.2017.01.008

Article  Google Scholar 

Özçelik YB, Altan A (2023) A comparative analysis of artificial intelligence optimization algorithms for the selection of entropy-based features in the early detection of epileptic seizures. In: 2023 14th international conference on electrical and electronics engineering (ELECO). https://doi.org/10.1109/ELECO60389.2023.10415957

Peláez Suárez AA, Berrillo Batista S, Pedroso Ibáñez I, Casabona Fernández E, Fuentes Campos M, Chacón LM (2021) EEG-derived functional connectivity patterns associated with mild cognitive impairment in Parkinson’s disease. Behav Sci 11:40. https://doi.org/10.3390/bs11030040

Comments (0)

No login
gif