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Asherson, P., Burton, C. L., Boomsma, D. I., Cormand, B., Dalsgaard, S., Franke, B., Gelernter, J. et al. (2018). Discovery of the First Genome-Wide Significant Risk Loci for Attention Deficit/Hyperactivity Disorder. Nature Genetics, 51(1), 63. doi: 10.1038/s41588-018-0269-710.1038/s41588-018-0269-7Search in Google Scholar

Bartlett, M. S. (1950). Periodogram Analysis and Continuous Spectra. Biometrika, 37 (1/2), 1–16.10.1093/biomet/37.1-2.1Search in Google Scholar

Bakhshi, A. D., Ahmed, A., Gulfarm, S. M., Khaqan, A. Yasin, S. Iqbal, S. Riaz, et al. (2013). Estimation of Baseline Wander Characteristics in ECG Signals Using Adaptive Transversal Filter and Lomb’s Periodogram Analysis. Przeglad Elektrotechniczny, 89 (5), 107–110.Search in Google Scholar

Bluschke, A., Roessner, V., & Beste, C. (2016). Editorial Perspective: How to Optimise Frequency Band Neurofeedback for ADHD. Journal of Child Psychology and Psychiatry, 57(4), 457–461. doi: 10.1111/jcpp.1252110.1111/jcpp.12521Search in Google Scholar

Budzynski, T., H., Budzynski, H. K., Evans J. R., & Abarbanel, A. (2009). Introduction to Quantitative EEG and Neurofeedback: Advanced Theory and Applications. 2nd Edition.10.1016/B978-0-12-374534-7.00020-4Search in Google Scholar

Clarke, A. R., Barry, R. J., Karamacoska, D., & Johnstone, S. J. (2019). The EEG Theta/Beta Ratio: A marker of Arousal or Cognitive Processing Capacity?. Applied Psychophysiology and Biofeedback, 44(2), 123–129. doi: 10.1007/s10484-018-09428-610.1007/s10484-018-09428-6Search in Google Scholar

Hartmut, H., Strehl, U., Arns, M., Rothenberger, A., & Ros, T. (2016). Neurofeedback in ADHD. Frontiers in Human Neuroscience, 6–21, 2016. doi: 10.3389/fnhum.2015.0060210.3389/fnhum.2015.00602Search in Google Scholar

Homan, R. W. Herman, J., & Purdy, J. (1987). Cerebral Location of International 10–20 System Electrode Placement. Electroencephalography and Clinical Neurophysiology, 66(4), 376–382. doi: 10.1016/0013-4694(87)90206-910.1016/0013-4694(87)90206-9Search in Google Scholar

Kawala-Janik, A., Zolubak, M., Bauer, W., Sobolewski, T., Nazimek, B., Sowa, M., & Pelc, M. (2018). Implementation of Non-Integer Order Filtering for the Purpose of Disparities Detection in Beta Frequencies – A Pilot Study. 23rd International Conference on Methods and Models in Automation and Robotics (MMAR). doi: 10.1109/MMAR.2018.848611310.1109/MMAR.2018.8486113Search in Google Scholar

Kostick, K. (2017). ICD-10-CM Coding for Attention-Deficit/Hyperactivity Disorder (ADHD). Journal of AHIMA, 88(9), 56–59.Search in Google Scholar

Kubacki, A., Sawicki, L., & Owczarek, P. (2016). Detection of Facial Gestures Arte-facts Created During an EEG Research Using Artificial Neural Networks. 21st International Conference on Methods and Models in Automation and Robotics. doi: 10.1109/MMAR.2016.757523610.1109/MMAR.2016.7575236Search in Google Scholar

Lazar, Z. I., Dijk, D.-J., & Lazar, A. S. (2019). Infraslow Oscillations in Human Sleep Spindle Activity. Journal of Neuroscience Methods, 316, 22–34. doi: 10.1016/j.jneumeth.2018.12.00210.1016/j.jneumeth.2018.12.002Search in Google Scholar

Martinez-Murcia, F. J., Ortiz, A., Morales-Ortega, R., Lopez, P. J., Luque, J. L., Castillo-Barnes, D., Segovia, F. et al. (2019). Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. Understanding the Brain Function and Emotions. LNCS, 11486, 350–359.10.1007/978-3-030-19591-5_36Search in Google Scholar

Mehran, Y. Z., Firoozabadi M., & Rostami, R. (2015). Improvement of Neurofeed-back Therapy for Improved Attention Through Facilitation of Brain Activity Using Local Sinusoidal Extremely Low Frequency Magnetic Field Exposure. Clinical EEG and Neuroscience, 46(2), 1–13. doi: 10.1177/155005941452440310.1177/1550059414524403Search in Google Scholar

Moreno-Garcia, I., Delgado-Pardo, G., Camacho-Vara de Rey, C., Meneres-Sancho, S., & Servera-Barcelo, M. (2015). Neurofeedback, Pharmacological Treatment and Behavioral Therapy in Hyperactivity: Multilevel Analysis of Treatment Effects on Electroencephalography. International Journal of Clinical and Health Psychology, 15(3), 217–225. doi: 10.1016/j.ijchp.2015.04.00310.1016/j.ijchp.2015.04.003Search in Google Scholar

Moreno-Garcia, I., Meneres-Sancho, S., Camacho-Vara de Rey C., & Servera, M. (2019). A Randomized Controlled Trial to Examine the Posttreatment Efficacy of Neurofeedback, Behavior Therapy, and Pharmacology on ADHD Measures. Journal of Attention Disorders, 23(4), 374–383. doi: 10.1177/108 705471769337110.1177/1087054717693371Search in Google Scholar

Mostile, G., Giuliano, L., Monastero, R., Luca, A., Cicero, C. E., Donzuso, G., Dibilio, V. et al. (2019). Electrocortical networks in Parkinson’s disease patients with Mild Cognitive Impairment. The PaCoS study. Parkinsonism & Related Disorders, 64, 156–162. doi: 10.1016/j.parkreldis.2019.03.02710.1016/j.parkreldis.2019.03.027Search in Google Scholar

Mulkey, S. B., Kota, S., Govindan, R. B., Al-Shargabi, T., Swisher, C. B., Eze Jr., A., Hitchings, L. et al. (2019). The Effect of Labor and Delivery Mode on Electrocortical and Brainstem Autonomic Function During Neonatal Transition. Scientific Reports, 9(1). doi: 10.1038/s41598-019-47306-110.1038/s41598-019-47306-1Search in Google Scholar

Rooney, I. M., & Buck, J. R. (2019). Spatial Power Spectral Density Estimation Using a Welch Coprime Sensor Array Processor. The Journal of the Acoustical Society of America, 145(4), 2350. doi: 10.1121/1.509757210.1121/1.5097572Search in Google Scholar

Saad, J. F., Kohn, M. R., Clarke, S., Lagopoulos, J., & Hermens, D. F. (2018). Is the theta/beta EEG marker for ADHD inherently flawed? Journal of Attention Disorders, 22(9), 815–826. doi: 10.1177/108705471557827010.1177/1087054715578270Search in Google Scholar

Schlerf, J. E., Galea, J. M., Spampinato, D. S., & Celnik, P. A. (2015). Laterality Differences in Cerebellar-Motor Cortex Connectivity. Cerebral Cortex, 25(7), 1827–34.10.1093/cercor/bht422Search in Google Scholar

Schmid, U., Schmid, K., & Mall, V. (2018). FV 798. Neurofeedback Therapy for ADDH: Training with z-scored QEEG-Frequency Bands. Neuropediatrics, 49(S02), S1–S69.10.1055/s-0038-1675925Search in Google Scholar

Schonenberg, M., Wiedemann, E., Schneidt, A., Scheeff, J., Logemann, A., Keune, P. M., & Hautzinger, M. (2017). Neurofeedback, Sham Neurofeedback, and Cognitive-Behavioural Group Therapy in Adults with Attention-Deficit Hyperactivity Disorder: a Triple-Blind, Randomised, Controlled Trial. The Lancet Psychiatry, 4(9), 673–684.10.1016/S2215-0366(17)30291-2Search in Google Scholar

Sierra-Alonso, E. F., Antoni, J., & Castellanos-Dominguez, G. (2019). Filtered Evelope Spectrum Using Short Periodograms for Bearing Fault Identification under Variable Speed. Advances in Mechanism and Machine Science, 73, 4157–66.10.1007/978-3-030-20131-9_414Search in Google Scholar

Skirrow, S., McLoughlin, G., Banaschewski, T., Brandeis, D., Kuntsi, J., & and Asherson, P. (2015). Normalisation of Frontal Theta Activity Following Methylphenidate Treatment in Adult Attention-Deficit/Hyperactivity Disorder. European Neuropsychopharmacology, 25(1), 85–94.10.1016/j.euroneuro.2014.09.015Search in Google Scholar

Welch, P. (1967). The Use of Fast Fourier Transform for the Estimation of Power Spectra: a Method Based on Time Averaging over Short, Modified Periodograms. IEEE Transactions on Audio and Electroacoustics, 15(2), 70–73.10.1109/TAU.1967.1161901Search in Google Scholar

Wilhelm, I., Kurth, S., Ringli, M., Mouthon, A. L., Buchmann, A., Geiger, A., Jenni, O. G., & Huber, R. (2014). Sleep Slow-Wave Activity Reveals Developmental Changes in Experience Dependent Plasticity. Journal of Neuroscience, 34(37), 12568–75.10.1523/JNEUROSCI.0962-14.2014Search in Google Scholar

World Health Organization (2015). International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Retrieved from https://www.cdc.gov/nchs/icd/icd10cm.htmSearch in Google Scholar

Zhou, Y., Fang, K., Zhao, K., & Ma, P. (2016). A Novel Credibility Quantification Method for Welch’s Periodogram Analysis Result in Model Validation. In Proceedings of The 9th EUROSIM Congress on Modelling and Simulation – EUROSIM 2016, 142, 783–788.Search in Google Scholar

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