Fakülteler / Faculties
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Item The Effect of a High Dose of Vitamin D on Spatial Learning and Memory in Rats(2021) Elshahoubi, Taha Hussein; Dolu, NazanItem An Empirical Study on the Relationship Between Auditory Evoked Potential's P300 waves& IQ Test Scores(2018) Pertek, Hanife; Kamasak, Mustafa Ersel; Dolu, Nazan; 0000-0002-3104-7587; AAG-4494-2019The determination of the intelligence quotient (IQ) of individuals with traditional psychometric tests has been a topic of discussion for a long time. However, in recent years neuropsychological studies have focused on the relationship between IQ and brain waves. In particular, many studies have investigated the relationship between Evoked Potential signals and IQ results. In this study, we investigated the relationship between the P300 signal, one of the Auditory Evoked Potential signals, and the IQ test results. Within the scope of the project, the Raven Standard Progressive Matrices (RSPM) test was used to measure participants' IQ levels. In addition, to obtain the P300 signal, the Oddball Auditory Stimulus Model participant was applied by Electroencephalography (EEG) device. Signals are received by the MP150 system and the P300 signal is provided by the MAT LAB Signal Processing module. Biostatistical analysis was performed with the data associated.Item Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder (vol 32, pg 8367, 2020)(2022) Guven, Aysegul; Altinkaynak, Miray; Dolu, Nazan; Izzetoglu, Meltem; Pektas, Ferhat; Ozmen, Sevgi; Demirci, Esra; Batbat, TurgayItem Evaluation of Electrodermal Activity and Anxiety Behaviors in Diabetic Rats Given Vildagliptin and Metformin(2022) Shawesh, Muftah; Alshareef, Mohammed; Boyuk, Gulbahar; Yigit, Ayse Arzu; Dolu, NazanItem Effects of Cognitive Load and State of Vigilance on Sympathetic Skin Response(2022) Karimi, Nazli; Dolu, Nazan; Kiziltan, Erhan; Sirinoglu, Tugce; Gundogan, Nimet UnayItem The Effect of High Dose Vitamin D on the Sympathetic Skin Response in Rats(2022) Masud, Haifa; Dolu, NazanItem Investigation of the Effect of Boron on Sweating in Rats by Sympathetic Skin Response(2022) Boyuk, Gulbahar; Dolu, Nazan; Aksoy, BusraItem The Effects of High Dose Vitamin D and Zinc on Anxiety and Exploratory Activity in Rats(2022) Baroud, Amna Abdulsalam; Dolu, NazanItem Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder(2020) Guven, Aysegul; Altinkaynak, Miray; Dolu, Nazan; Izzetoglu, Meltem; Pektas, Ferhat; Ozmen, Sevgi; Demirci, Esra; Batbat, Turgay; 0000-0002-3104-7587; AAG-4494-2019Recently multimodal neuroimaging which combines signals from different brain modalities has started to be considered as a potential to improve the accuracy of diagnosis. The current study aimed to explore a new method for discriminating attention-deficit hyperactivity disorder (ADHD) patients and control group by means of simultaneous measurement of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). Twenty-three pre-medicated combined type ADHD children and 21 healthy children were included in the study. Nonlinear brain dynamics of subjects were obtained from EEG signal using Higuchi fractal dimensions and Lempel-Ziv complexity, latency and amplitude values of P3 wave obtained from auditory evoked potentials and frontal cortex hemodynamic responses calculated from fNIRS. Lower complexity values, prolonged P3 latency and reduced P3 amplitude values were found in ADHD children. fNIRS indicated that the control subjects exhibited higher right prefrontal activation than ADHD children. Features are analyzed, looking for the best classification accuracy and finally machine learning techniques, namely Support Vector Machines, Naive Bayes and Multilayer Perception Neural Network, are introduced for EEG signals alone and for combination of fNIRS and EEG signals. Naive Bayes provided the best classification with an accuracy rate of 79.54% and 93.18%, using EEG and EEG-fNIRS systems, respectively. Our findings demonstrate that utilization of information by combining features obtained from fNIRS and EEG improves the classification accuracy. As a conclusion, our method has indicated that EEG-fNIRS multimodal neuroimaging is a promising method for ADHD objective diagnosis.Item A heritable profile of six miRNAs in autistic patients and mouse models(2020) Dolu, Nazan; 0000-0002-3104-7587; 32514154; AAG-4494-2019Autism spectrum disorder (ASD) is a group of developmental pathologies that impair social communication and cause repetitive behaviors. The suggested roles of noncoding RNAs in pathology led us to perform a comparative analysis of the microRNAs expressed in the serum of human ASD patients. The analysis of a cohort of 45 children with ASD revealed that six microRNAs (miR-19a-3p, miR-361-5p, miR-3613-3p, miR-150-5p, miR-126-3p, and miR-499a-5p) were expressed at low to very low levels compared to those in healthy controls. A similar but less pronounced decrease was registered in the clinically unaffected parents of the sick children and in their siblings but never in any genetically unrelated control. Results consistent with these observations were obtained in the blood, hypothalamus and sperm of two of the established mouse models of ASD: valproic acid-treated animals and Cc2d1a(+/-) heterozygotes. In both instances, the same characteristic miRNA profile was evidenced in the affected individuals and inherited together with disease symptoms in the progeny of crosses with healthy animals. The consistent association of these genetic regulatory changes with the disease provides a starting point for evaluating the changes in the activity of the target genes and, thus, the underlying mechanism(s). From the applied societal and medical perspectives, once properly confirmed in large cohorts, these observations provide tools for the very early identification of affected children and progenitors.