196

Bioinformatics of the Brain

[86] S. Q. A. Rizvi, G. Wang, A. Khan, et al., “Classifying parkinson’s

disease using resting state electroencephalogram signals and u<sup>

<i>en</i> </sup>-pdnet,” IEEE Access, vol. 11, pp. 107703–107724,

01 2023.

[87] B. F. O. Coelho, A. B. R. Massaranduba, C. A. d. S. Souza, et al.,

“Parkinson’s disease effective biomarkers based on hjorth features im-

proved by machine learning,” Expert Systems with Applications, vol. 212,

p. 118772, 02 2023.

[88] E. E. Tülay, E. Yıldırım, T. Aktürk, et al., “Classification of parkinson’s

disease with dementia using phase locking factor of event-related oscil-

lations to visual and auditory stimuli,” Journal of Neural Engineering,

vol. 20, p. 026025, 03 2023.

[89] J. Cao, L. Yang, P. G. Sarrigiannis, et al., “Dementia classification using

a graph neural network on imaging of effective brain connectivity,” Com-

puters in Biology and Medicine, vol. 168, pp. 107701–107701, 01 2024.

[90] R. A. McCutcheon, T. Reis Marques, and O. D. Howes, “Schizophrenia—

an overview,” JAMA Psychiatry, vol. 77, 10 2019.

[91] M. Jafari, D. Sadeghi, A. Shoeibi, et al., “Empowering precision medicine:

Ai-driven schizophrenia diagnosis via eeg signals: A comprehensive review

from 2002–2023,” Applied Intelligence, vol. 54, pp. 35–79, 12 2024.

[92] E. Vieta, M. Berk, T. G. Schulze, et al., “Bipolar disorders,” Nature

Reviews Disease Primers, vol. 4, p. 18008, 03 2018.

[93] C. Otte, S. M. Gold, B. W. Penninx, et al., “Major depressive disorder,”

Nature Reviews Disease Primers, vol. 2, 09 2016.

[94] N. Agnihotri and D. S. K. Prasad, “Review on machine learning tech-

niques to predict bipolar disorder,” www.techrxiv.org, vol. 13, pp. 195–

206, 04 2022.

[95] D. Watts, R. F. Pulice, J. Reilly, et al., “Predicting treatment response us-

ing eeg in major depressive disorder: A machine-learning meta-analysis,”

Translational Psychiatry, vol. 12, 08 2022.

[96] A. Safayari and H. Bolhasani, “Depression diagnosis by deep learning

using eeg signals: A systematic review,” Medicine in Novel Technology

and Devices, vol. 12, p. 100102, 12 2021.

[97] S. Yasin, S. A. Hassan, S. Aslan, et al., “Eeg based major depressive

disorder and bipolar disorder detection using neural networks:a review,”

Computer Methods and Programs in Biomedicine, vol. 202, p. 106007, 04

2021.