Publications by authors named "Panagiotis Bitsios"
Article Synopsis
- * The study introduced a machine learning (AutoML) approach to analyze DNA methylation data, leading to the identification of SCZ-specific biomarkers such as IGF2BP1, CENPI, and PSME4 from blood samples of SCZ patients compared to healthy controls.
- * An optimized five-feature biosignature was developed that included gene methylation levels and demographic factors, showing promise for being used in clinical diagnostics for SCZ, with a notable performance accuracy.
Disturbances in "functional connectivity" have been proposed as a major pathophysiological mechanism for schizophrenia, and in particular, for cognitive disorganization. Detection and estimation of these disturbances would be of clinical interest. Here we characterize the spatial pattern of functional connectivity by computing the "synchronization likelihood" (SL) of EEG at rest and during performance of a 2Back working memory task using letters of the alphabet presented on a PC screen in subjects with schizophrenia and healthy controls.
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