Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data

Conclusion: Our findings underscore the potential of hybrid deep learning architectures utilizing EEG data to effectively differentiate patients with OCD from healthy controls. This promising approach holds implications for advancing clinical decision-making by offering valuable insights into diagnostic markers for OCD.PMID:38192213 | DOI:10.1177/15500594231222980

Source: Clinical EEG and Neuroscience - January 9, 2024 Category: Neuroscience Authors: Shams Farhad Sinem Zeynep Metin Çağlar Uyulan Sahar Taghi Zadeh Makouei Bar ış Metin T ürker Tekin Ergüzel Nevzat Tarhan Source Type: research