EEG-based BCI Systems in Neuropsychiatric Diseases

195

[75] E. Başar, C. Schmiedt-Fehr, B. Mathes, et al., “What does the bro-

ken brain say to the neuroscientist? oscillations and connectivity in

schizophrenia, alzheimer’s disease, and bipolar disorder,” International

Journal of Psychophysiology, vol. 103, p. 135–148, 05 2016.

[76] B. Güntekin, T. Aktürk, X. Arakaki, et al., “Are there consistent ab-

normalities in event‐related eeg oscillations in patients with alzheimer’s

disease compared to other diseases belonging to dementia?,” Psychophys-

iology, vol. 59, 08 2022.

[77] E. E. Tülay, B. Güntekin, G. Yener, et al., “Evoked and induced eeg

oscillations to visual targets reveal a differential pattern of change along

the spectrum of cognitive decline in alzheimer’s disease,” International

Journal of Psychophysiology, vol. 155, pp. 41–48, 09 2020.

[78] A. Modir, S. Shamekhi, and P. Ghaderyan, “A systematic review and

methodological analysis of eeg-based biomarkers of alzheimer’s disease,”

Measurement, vol. 220, pp. 113274–113274, 10 2023.

[79] M. Nour, U. Senturk, and K. Polat, “A novel hybrid model in the diagno-

sis and classification of alzheimer’s disease using eeg signals: Deep ensem-

ble learning (del) approach,” Biomedical Signal Processing and Control,

vol. 89, pp. 105751–105751, 03 2024.

[80] M. Şeker and M. S. Özerdem, “Deep insights into mci diagnosis: A com-

parative deep learning analysis of eeg time series,” Journal of Neuro-

science Methods, vol. 403, pp. 110057–110057, 01 2024.

[81] B. R. Bloem, M. S. Okun, and C. Klein, “Parkinson’s disease,” The

Lancet, vol. 397, pp. 2284–2303, 04 2021.

[82] A. M. Maitín, A. J. García-Tejedor, and J. P. R. Muñoz, “Machine learn-

ing approaches for detecting parkinson’s disease from eeg analysis: A sys-

tematic review,” Applied Sciences, vol. 10, p. 8662, 12 2020.

[83] Q. Wang, L. Meng, J. Pang, et al., “Characterization of eeg data revealing

relationships with cognitive and motor symptoms in parkinson’s disease:

A systematic review,” Frontiers in Aging Neuroscience, vol. 12, 11 2020.

[84] M. S. Alzubaidi, U. Shah, H. Dhia Zubaydi, et al., “The role of neu-

ral network for the detection of parkinson’s disease: A scoping review,”

Healthcare, vol. 9, p. 740, 06 2021.

[85] H. W. Loh, W. Hong, C. P. Ooi, et al., “Application of deep learning mod-

els for automated identification of parkinson’s disease: A review (2011–

2021),” Sensors, vol. 21, p. 7034, 10 2021.