Online ISSN: 2515-8260

Keywords : Alpha

EEG changes in autism children

Chaudhary Pooja

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 7, Pages 3677-3684

Purpose: The purpose of our study was to compare EEG changes of AUSTISM patients with normally developing children, by comparing alpha wave frequency in different EEG electrodes.
Methods: The present study was conducted at SPMCHI, J. K. Lone Hospital attached to S. M. S. Medical College, Jaipur after obtaining the desired clearance from Institutional Research Review Board (IRRB) and Ethics Committee of the Institution. An informed written consent and assent was taken from every subject’s parent before commencing any procedure. The study population consisted of 25 Autistic Spectrum Disorder cases of below 18 years of age. An equal number of healthy control subjects were recruited as controls.
Results: The mean value of alpha wave frequency in F3 electrode was 10.77±2.94 in cases while in the control group it was 9.62±1.23. Although the p value was not significant here (0.078). Mean value of alpha wave for P3 electrode. Here for cases, mean value it was 12.42±5.73while for controls it was 11.49±1.57. Again, P value was not significant here (0.439. Comparison of alpha wave profile among cases showed that cases with severe ASD have significant difference from cases with mild &moderate autism. The mean value of alpha wave relative power in F8 electrode in mild cases was 11.28±3.29, in moderate cases was 8.01±2.21 & in severe cases was 7.52±1.92 and here the comparison among them shows that differences are significant (P=0.014). Similarly, we found statistically significant difference in F7 electrode. Although there was no difference in rest of frontal region electrodes and in any of parietal &temporal region electrode.
Conclusion: We conclude that currently EEG cannot be used as a digital biomarker for early diagnosis of ASD till further larger studies

Optimal Portfolios With Smart Beta, Alpha, Diversification, And Var On Horizon Indonesia’s Stock Exchange

Dwi Fitrizal Salim; Disman .; Ikaputera Waspada; Wahyudayanto Utama

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 5371-5381

Portfolios are one way of investing with a merger of several investment instruments within a portfolio group. Portfolio for the first time introduced by Markowitz (1952). Then theories began to be studied a lot by researchers that produced a lot of discoveries, in portfolio theory, there's the variable in diversification where this theory can suppress the level of risk that arises in an investment with a particular rate of return. This study adds variables used by Cazalet al (2014) where it adds value at risk variables (var). The study used a useful regression of logistics, finding a formula that produces binary codes 1 and 0, where one return of that stock over the market and zero returns obtained below the market. The formulas generated with the beta, alpha, diversification, and var variables could predict return levels with binary codes 1 and 0 by 72.5 percent, this may help investors to determine shares that have returns on the market to boost investment returns.