TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Citation - WoS: 1Detection of Alzheimer's Dementia by Using Deep Time-Frequency Feature Extraction(AVES, 2024-01-30) Karabiber Cura, Özlem; Türe, H. Sabiha; Akan, Aydin; Cura, Ozlem KarabiberAlzheimer's disease (AD), a neurological condition connected with aging, causes cognitive deterioration and has a substantial influence on a patient's daily activities. One of the most widely used clinical methods for examining how AD affects the brain is the electroencephalogram (EEG). Handcraft calculating descriptive features for machine learning algorithms requires time and frequently increases computational complexity. Deep networks provide a practical solution to feature extraction compared to handcraft feature extraction. The proposed work employs a time-frequency (TF) representation and a deep feature extraction-based approach to detect EEG segments in control subjects (CS) and AD patients. To create EEG segments'TF representations, high-resolution synchrosqueezing transform (SST) and traditional short-time Fourier transform (STFT) approaches are utilized. For deep feature extraction, SST and STFT magnitudes are used. The collected features are classified using a variety of classifiers to determine the EEG segments of CS and AD patients. In comparison to the SST method, the STFT-based deep feature extraction strategy produced improved classification accuracy between 79.56% and 92.96%.Article Citation - WoS: 2Matrix Metalloproteinase-2 and -3 Levels in Patients With Behçet's Disease and Implication for the Presence of Vascular Aneurysm or Neurologic Involvement(AVES, 2023-08-24) Erten, Pınar Talu; Keser, Gökhan; Durusoy, Raika; Kocaer, Sinem Burcu; Aksu, KenanBackground: Behçet's disease is a systemic vasculitis affecting both arteries and veins, as well as causing recurrent inflammatory multiorgan disease. Vascular involvement is associated with increased mortality and morbidity. Matrix metalloproteinases are released at sites of inflammation and degrade various components of the extracellular matrix. Increased levels of metalloproteinase-9 and metalloproteinase- 2 have been previously reported in Behçet's disease. Methods: In this cross-sectional study, metalloproteinase-2 and metalloproteinase-3 serum levels were investigated in 103 patients with Behçet's disease and 69 healthy controls, using Invitrogen immunoassay human metalloproteinase-2 and metalloproteinase-3 ELISA kits. Results: Serum metalloproteinase-2 and metalloproteinase-3 levels were significantly higher in the Behçet's disease group compared to healthy controls. Besides, serum metalloproteinase-3 levels were significantly higher in subgroups of Behçet's disease with aneurysmal vascular involvement and with neurological involvement. However, metalloproteinase-2 and metalloproteinase-3 serum levels did not show a positive correlation with disease activity. Conclusion: Metalloproteinase-2 and -3 may contribute to the complex pathogenesis of Behçet's disease. More importantly, the detection of very high serum levels of metalloproteinase-3 may predict the formation of an aneurysm, or possibly the presence of neurological involvement in Behçet's disease and may lead the clinician to make an earlier diagnosis of these complications in young male patients with high risk.