Genç Kohortta EEG Tabanlı Üstbiiş İmzalarının Öngörü Modelleri: İkiz ve Kardeşlerde Algısal Karar Verme, Metabilişsel Farkındalık ve Genetik/Çevresel Faktör İlişkileri

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Aydın S. (Yürütücü), Özer S., Bağcaz A., Efe M. Ö.

TÜBİTAK Projesi, 1001 - Bilimsel ve Teknolojik Araştırma Projelerini Destekleme Programı, 2026 - 2028

• Proje Türü: TÜBİTAK Projesi
• Destek Programı: 1001 - Bilimsel ve Teknolojik Araştırma Projelerini Destekleme Programı
• Başlama Tarihi: Ekim 2026
• Bitiş Tarihi: Ekim 2028

Proje Özeti

This interdisciplinary project investigates how perceptual decision-making abilities and metacognitive awareness are reflected in brain dynamics among Generation-Z university students. By combining electroencephalography (EEG), behavioral assessments, and artificial intelligence models, the study analyzes intrinsic resting-state functional brain networks alongside task-evoked neural patterns across healthy controls, twins/siblings, and students diagnosed with Major Depressive Disorder (MDD).

Led by Dr. Aydın at Hacettepe University Department of Biophysics—in multidisciplinary collaboration with psychiatry, psychology, and computer science experts—the project systematically evaluates:

• Neural Signatures: How decision accuracy, speed, and confidence map onto distinct brain networks.

• Genetic & Environmental Drivers: The contribution of hereditary and environmental factors using twin and sibling cohorts across diverse academic disciplines.

• Clinical Insights: Early age-specific neurophysiological markers that help differentiate depression profiles and inform clinical decision-support frameworks.

By identifying the neural underpinnings of metacognition and cognitive sensitivity, the findings aim to guide personalized educational protocols and foster novel AI-assisted psychiatric evaluation tools.