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Yayın Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning(Springer Science and Business Media Deutschland GmbH, 2022-12) Cengiz, Sevim; Arslan, Dilek Betül; Kıçik, Ani; Erdoğdu, Emel; Yıldırım, Muhammed; Hatay, Gökçe Hale; Tüfekçioğlu, Zeynep; Uluğ, Aziz Müfit; Bilgiç, Başar; Hanagasi, Haşmet; Demiralp, Tamer; Gürvit, Hakan; Öztürk Işıkk, EsinObjective: To investigate metabolic changes of mild cognitive impairment in Parkinson’s disease (PD-MCI) using proton magnetic resonance spectroscopic imaging (1H-MRSI). Methods: Sixteen healthy controls (HC), 26 cognitively normal Parkinson’s disease (PD-CN) patients, and 34 PD-MCI patients were scanned in this prospective study. Neuropsychological tests were performed, and three-dimensional 1H-MRSI was obtained at 3 T. Metabolic parameters and neuropsychological test scores were compared between PD-MCI, PD-CN, and HC. The correlations between neuropsychological test scores and metabolic intensities were also assessed. Supervised machine learning algorithms were applied to classify HC, PD-CN, and PD-MCI groups based on metabolite levels. Results: PD-MCI had a lower corrected total N-acetylaspartate over total creatine ratio (tNAA/tCr) in the right precentral gyrus, corresponding to the sensorimotor network (p = 0.01), and a lower tNAA over myoinositol ratio (tNAA/mI) at a part of the default mode network, corresponding to the retrosplenial cortex (p = 0.04) than PD-CN. The HC and PD-MCI patients were classified with an accuracy of 86.4% (sensitivity = 72.7% and specificity = 81.8%) using bagged trees. Conclusion: 1H-MRSI revealed metabolic changes in the default mode, ventral attention/salience, and sensorimotor networks of PD-MCI patients, which could be summarized mainly as ‘posterior cortical metabolic changes’ related with cognitive dysfunction.Yayın Exploring the impact of Flash technique on test anxiety among adolescents(SAGE Publications Ltd, 2025-07) Çitil Akyol, Canan; İnci İzmir, Sevim BerrinThis study aims to investigate the specific effects of Flash Technique (FT) on adolescents with test anxiety. This follow-up study consists of 38 adolescents, 14–17 years of age (M = 15.39, SD = 1.13). Pre-post assessments were conducted using the Test Anxiety Inventory (TAI), Scale of Attitudes Negatively Affecting the Performance I/Test (POET), and Beck Anxiety Inventory (BAI) at baseline, at the end of the 4thand 12thweeks of therapy. The FT was applied for 12 weeks, with one weekly session as an intervention. As a result of the therapy process, the baseline means of total BAI scores decreased from 25.26 to 2.18; the baseline means of TAI decreased from 149.79 to 39.13, and the baseline mean of POET decreased from 298.47 to 73.84 at the end of the 12th week of therapy. Also, the baseline means of SUD scores decreased from 9.42 to zero at the end of the 12th week of treatment. All the adolescents showed complete improvement after the 12th week of the FT. The study findings showed that the test anxiety symptoms significantly decreased with the treatment of the FT. FT can be an effective intervention for test anxiety in adolescents.Yayın Theta and Beta1 frequency band values predict dyslexia classification(John Wiley and Sons Ltd, 2025-12-29) Eroğlu, Günet; Harb, Mhd Raja AbouDyslexia, impacting children's reading skills, prompts families to seek cost-effective neurofeedback therapy solutions. Utilising machine learning, we identified predictive factors for dyslexia classification. Employing advanced techniques, we gathered 14-channel Quantitative Electroencephalography (QEEG) data from 200 participants, achieving 99.6% dyslexic classification accuracy through cross-validation. During validation, 48% of dyslexic children's sessions were consistently classified as normal, with a 95% confidence interval of 47.31 to 48.68. Focusing on individuals consistently diagnosed with dyslexia during therapy, we found that dyslexic individuals exhibited higher theta values and lower beta1 values compared to typically developing children. This study pioneers machine learning in predicting dyslexia classification factors, offering valuable insights for families considering neurofeedback therapy investment.Yayın Validation and normative data study for the Turkish version of the movie for the assessment of social cognition (MASC-TR)(Oxford University Press, 2026-02-05) Şandor, Serra; Hıdıroğlu-Ongun, Ceren; Tanfer, Mehmet Can; Gürkaş, Sena; Bora, Emre; Yıldırım, ElifObjective This study aimed to adapt the Movie for the Assessment of Social Cognition (MASC) into Turkish (MASC-TR), examine its psychometric properties, and establish normative data. Additionally, the study investigated the discriminative validity of the MASC-TR in differentiating individuals with autism spectrum disorder (ASD) from healthy controls. Methods The sample comprised 228 healthy adults and 29 individuals with ASD aged 18–45 years. Participants completed the MASC-TR along with established measures of theory of mind (ToM)—the Reading the Mind in the Eyes Test (RMET) and the Faux Pas Recognition Test (FPRT)—as well as non-social cognitive tasks assessing attention, working memory, and executive functions. Reliability analyses included internal consistency and test–retest reliability. Construct validity was assessed via convergent and discriminant correlations. Group comparisons and receiver operating characteristic analyses were used to evaluate discriminative validity, while multifactorial analysis of variance and regression analyses examined demographic effects. Results The MASC-TR demonstrated acceptable internal consistency (α=0.75) and excellent test–retest reliability (ICC=0.98). Significant positive correlations with RMET and FPRT supported convergent validity. Education level emerged as the only significant demographic predictor of MASC-TR performance. The MASC-TR successfully differentiated individuals with ASD from controls (t=−3.87, p<.001), with an optimal cutoff of 23.5 yielding 97% sensitivity and 52% specificity (area under the curve=0.72). Conclusions The findings indicate that the MASC-TR is a valid and reliable measure of social cognition in Turkish adults. The availability of culturally adapted normative data enhances its clinical and research utility for assessing ToM functioning across populations.
