Abedinzadeh Torghabeh, F., Hosseini, S. A., & Modaresnia, Y. (2023a). Potential biomarker for early detection of ADHD using phase-based brain connectivity and graph theory”. Physical and Engineering Sciences in Medicine, 46(4), 1447–1465. https://doi.org/10.1007/s13246-023-01310-y

Article  PubMed  Google Scholar 

Abedinzadeh Torghabeh, F., Modaresnia, Y., & Hosseini, S. A. (2023b). EEG-Based Effective Connectivity Analysis for Attention Deficit Hyperactivity Disorder Detection Using Color-Coded Granger-Causality Images and Custom Convolutional Neural Network. International Clinical Neuroscience Journal, 10, e12. https://doi.org/10.34172/icnj.2023.12

Article  Google Scholar 

Ahmadlou, M., & Adeli, H. (2011a). Fuzzy Synchronization Likelihood with Application to Attention-Deficit/Hyperactivity Disorder. Clinical EEG and Neuroscience, 42(1), 6–13. https://doi.org/10.1177/155005941104200105

Article  PubMed  Google Scholar 

Ahmadlou, M., & Adeli, H. (2011b). Functional community analysis of brain: A new approach for EEG-based investigation of the brain pathology. NeuroImage, 58(2), 401–408. https://doi.org/10.1016/j.neuroimage.2011.04.070

Article  PubMed  Google Scholar 

Ali Motie Nasrabadi, M. R. M., Allahverdy, A., Samavati, M. (2023). EEG data for ADHD / Control children | IEEE DataPort.” Accessed: Mar. 30, 2023. [Online]. Available: https://ieee-dataport.org/open-access/eeg-data-adhd-control-children

Alim, A., & Imtiaz, M. H. (2023). Automatic Identification of Children with ADHD from EEG Brain Waves. Signals, 4(1), 193–205. https://doi.org/10.3390/SIGNALS4010010

Article  Google Scholar 

Alves, E. B. M., Simplício, Y. S., Almeida, R. D. P., Luna, B. M. A., & do Carmo, G. V. (2024). Diagnostic strategies for attention deficit hyperactivity disorder in early childhood. International Journal of Health Science, 4(18), 2–7. https://doi.org/10.22533/at.ed.1594182409024

Article  Google Scholar 

Attallah, O. (2024). ADHD-AID: Aiding Tool for Detecting Children’s Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection. Biomimetics, 9(3), 188. https://doi.org/10.3390/biomimetics9030188

Article  PubMed  PubMed Central  Google Scholar 

Barry, R. J., Clarke, A. R., & Johnstone, S. J. (2003). A review of electrophysiology in attention-deficit/hyperactivity disorder: I. Qualitative and quantitative electroencephalography. Clinical Neurophysiology, 114(2), 171–183. https://doi.org/10.1016/S1388-2457(02)00362-0

Article  PubMed  Google Scholar 

Caci, H. M., Morin, A. J. S., & Tran, A. (2014). Prevalence and Correlates of Attention Deficit Hyperactivity Disorder in Adults From a French Community Sample. The Journal of Nervous and Mental Disease, 202(4), 324–332. https://doi.org/10.1097/NMD.0000000000000126

Article  PubMed  Google Scholar 

Chang, C. Y., Hsu, S. H., Pion-Tonachini, L., Jung, T. P. (2018). Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal,” in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, pp. 1242–1245. https://doi.org/10.1109/EMBC.2018.8512547

Chang, C.-Y., Hsu, S.-H., Pion-Tonachini, L., & Jung, T.-P. (2020). Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings. IEEE Transactions on Biomedical Engineering, 67(4), 1114–1121. https://doi.org/10.1109/TBME.2019.2930186

Article  PubMed  Google Scholar 

Chesley, J., Riecke, L., Lu, J., Vogels, R., & de Gelder, B. (2024). Theta activity discriminates high-level, species-specific body processes. Imaging Neuroscience, 2, 1–12. https://doi.org/10.1162/imag

Article  Google Scholar 

Clarke, A. R., Barry, R. J., McCarthy, R., & Selikowitz, M. (2001). EEG-defined subtypes of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 112(11), 2098–2105. https://doi.org/10.1016/S1388-2457(01)00668-X

Article  PubMed  CAS  Google Scholar 

“Cleaning Raw Data and Artifact Subspace Reconstruction Plugin.” Accessed: May 25, 2024. [Online]. Available: https://github.com/sccn/clean_rawdata

Danckaerts, M., et al. (2010). The quality of life of children with attention deficit/hyperactivity disorder: A systematic review. European Child and Adolescent Psychiatry, 19(2), 83–105. https://doi.org/10.1007/s00787-009-0046-3

Article  PubMed  Google Scholar 

Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009

Article  PubMed  Google Scholar 

Ekhlasi, A., Nasrabadi, A. M., & Mohammadi, M. (2021). Classification of the children with ADHD and healthy children based on the directed phase transfer entropy of EEG signals. Frontiers in Biomedical Technologies, 8(2), 115–122. https://doi.org/10.18502/fbt.v8i2.6515

Article  Google Scholar 

Ekhlasi, A., Nasrabadi, A. M., & Mohammadi, M. (2022). Analysis of EEG brain connectivity of children with ADHD using graph theory and directional information transfer. Biomedical Engineering/Biomedizinische Technik. https://doi.org/10.1515/bmt-2022-0100

Article  PubMed  Google Scholar 

Esas, M. Y., & Latifoğlu, F. (2023). Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques. Journal of Neural Engineering, 20(3), 036028. https://doi.org/10.1088/1741-2552/acc902

Article  Google Scholar 

Fonseca, L. C., Tedrus, G. M. A., Moraes, C. D., Machado, A. D. V., Almeida, M. P. D., & Oliveira, D. O. F. D. (2008). Epileptiform abnormalities and quantitative EEG in children with attention-deficit / hyperactivity disorder. Arquivos de Neuro-Psiquiatria, 66(3a), 462–467. https://doi.org/10.1590/S0004-282X2008000400004

Article  PubMed  Google Scholar 

Furlong, S., Cohen, J. R., Hopfinger, J., Snyder, J., Robertson, M. M., & Sheridan, M. A. (2021). Resting-state EEG Connectivity in Young Children with ADHD. Journal of Clinical Child and Adolescent Psychology, 50(6), 746–762. https://doi.org/10.1080/15374416.2020.1796680

Article  PubMed  Google Scholar 

García-Ponsoda, S., García-Carrasco, J., Teruel, M. A., Maté, A., & Trujillo, J. (2023). Feature engineering of EEG applied to mental disorders: A systematic mapping study. Applied Intelligence, 53(20), 23203–23243. https://doi.org/10.1007/s10489-023-04702-5

Article  Google Scholar 

Ghassemian, H. (2016). A review of remote sensing image fusion methods. Inf. Fusion, 32, 75–89. https://doi.org/10.1016/j.inffus.2016.03.003

Article  Google Scholar 

Giannakeas, N. (2018). EEG-Based Automatic Sleep Stage Classification. Biomedical Journal of Scientific & Technical Research, 7(4). https://doi.org/10.26717/BJSTR.2018.07.001535.

Helgadóttir, H., et al. (2015). Electroencephalography as a clinical tool for diagnosing and monitoring attention deficit hyperactivity disorder: A cross-sectional study. British Medical Journal Open, 5(1), e005500. https://doi.org/10.1136/bmjopen-2014-005500

Article  Google Scholar 

Jaipriya, D., & Sriharipriya, K. C. (2024). Brain Computer Interface-Based Signal Processing Techniques for Feature Extraction and Classification of Motor Imagery Using EEG: A Literature Review. Biomedical Materials & Devices, 2(2), 601–613. https://doi.org/10.1007/s44174-023-00082-z

Article  Google Scholar 

Kandemir, H., Kilic, B., Ekinci, S., & Yuce, M. (2014). An evaluation of the quality of life of children with attention-deficit/hyperactivity disorder (ADHD) and their families. Anatolian Journal of Psychiatry, 15(3), 265. https://doi.org/10.5455/apd.46202

Article  Google Scholar 

Keith Conners, C., Sitarenios, G., Parker, J. D. A., & Epstein, J. N. (1998a). Revision and restandardization of the Conners Teacher Rating Scale (CTRS-R): Factor structure, reliability, and criterion validity. Journal of Abnormal Child Psychology, 26(4), 279–291. https://doi.org/10.1023/A:1022606501530

Article  Google Scholar 

Keith Conners, C., Sitarenios, G., Parker, J. D. A., & Epstein, J. N. (1998b). The revised Conners’ Parent Rating Scale (CPRS-R): Factor structure, reliability, and criterion validity. Journal of Abnormal Child Psychology, 26(4), 257–268. https://doi.org/10.1023/A:1022602400621

Article  Google Scholar 

Kessler, R. C., et al. (2014). The effects of temporally secondary co-morbid mental disorders on the associations of DSM-IV ADHD with adverse outcomes in the US National Comorbidity Survey Replication Adolescent Supplement (NCS-A). Psychological Medicine, 44(8), 1779–1792. https://doi.org/10.1017/S0033291713002419

Article  PubMed  CAS  Google Scholar 

Kiiski, H., et al. (2020). Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms. Clinical Neurophysiology, 131(1), 330–342. https://doi.org/10.1016/j.clinph.2019.08.010

Article  PubMed  Google Scholar 

Kitsune, G. L., et al. (2015). A Matter of Time: The Influence of Recording Context on EEG Spectral Power in Adolescents and Young Adults with ADHD. Brain Topography, 28(4), 580–590. https://doi.org/10.1007/s10548-014-0395-1

Article  PubMed  Google Scholar 

Kooij, S. J., et al. (2010). European consensus statement on diagnosis and treatment of adult ADHD: The European Network Adult ADHD. BMC Psychiatry, 10(1), 67. https://doi.org/10.1186/1471-244X-10-67

Article  PubMed  PubMed Central  Google Scholar 

Lachaux, J.-P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194–208. https://doi.org/10.1002/(SICI)1097-0193(1999)8:4%3c194::AID-HBM4%3e3.0.CO;2-C

Article  PubMed  PubMed Central  CAS