AimsThe aim of this study is to evalute the effects of methylphenidate and atomoxetine treatments on electroencephalography (EEG) signals in volunteer children diagnosed with Attention Deficit and Hyperactivity Disorder(ADHD).MethodsThe study contained 40 children all of whom were between the ages of 7 and 17. The participants were classified into two groups as ADHD (n=20), which was in itself divided into two groups as ADHD-MPH (ADHD- Metylphenidate treatment) (n=10) and as ADHD-ATX (ADHD-Atomoxetin treatment) (n=10), and one control group (n=20). Following the first EEG recordings of the ADHD group, long-acting methylphenidate dose was applied to one ADHD group and atomoxetine dose was applied to the other ADHD group. The effect of optimal dosage is about for 4-6 weeks in general. Therefore, the response or lack of response to the treatment was evaluated three months after the beginning of the treatment.After methylphenidate and atomoxetine drug treatment, in order to obtain mean and maximum power values for delta, theta, alpha and beta band, the EEG data were analyzed.ResultsThe EEG power spectrum densities in all the bands yielded similar findings in both methylphenidate and atomoxetine. Although statistically significant frequency values of the electrodes were amplitude and maximally varied, in general, they appeared mostly at both frontal and temporal regions for methylphenidate and atomoxetine.ConclusionEspecially, after atomoxetine treatment, Quantitative Electroencephalography (QEEG) rates at frontal area electrodes were found statistically more significant than methylphenidate QEEG rates. What has been researched in this study is not only whether QEEG is likely to support the diagnosis, but whether changes on QEEG by treatment may be related to the severity of ADHD as well.

EEG analyzes can be used as an alternative method when ADHD subgroups are identified.

Abstract:In this paper, in order to examine the effect of respiration on heart rate variability (HRV), signal processing analyses were performed between the signal received from the periodic movement of the chest of respiration and the pulse plethysmograph (PPS) signal, providing the calculation of both the time and frequency behavior of HRV and also including pulse rate information at the same time. Respiration is used as the comparison parameter in both healthy subjects and in hypertensive patients, not only with the time and frequency components of the HRV, but also with the galvanic skin resistance simultaneously taken with body temperature and by calculating these signal changes. In our study, we aim to not only investigate the relationship between hypertension and HRV, but also to investigate the effect of respiration. Hence, in this study, 19 hypertensive patients and 19 healthy controls, who are all women, are used as subjects. As a result of the data received and analyzed from the subjects, HRV both in hypertensive and healthy subjects, the mean value of the high-frequency component and respiratory signal (RSP), and the mean value of the lowfrequency/high-frequency ratio accepted as a sympathovagal balance index of the heart rate and RSP are statistically associated.

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Green energy production is crucial to protecting the environment and meeting future energydemand. Therefore, the study aims to investigate the relationship between oil price indices and green energystock prices. In this study, the data of Nasdaq OMX Wind and Nasdaq OMX Solar indices and crude oilindex (Oil) for the period of January 2015-March 2023 are collected and investigated using Fourier analysismethod. Therefore, in this study, the correlation between Oil and other (Solar and Wind) data values isexamined. Fourier power spectrum analysis method is used and according to the results of this powerspectrum analysis; The fact that there is a correlation between the Oil data values and both the Solar andWind data values is demonstrated by the average, maximum and standard deviation values obtained as aresult of the Fourier power spectrum and power spectrum. In conclusion, the findings of this study alsoprovide important recommendations for investors, managers and policy makers.