Marek Susta1, Hana Papezova2, Svojmil Petranek3, Karel Sonka4. 1. St. Elisabeth University, Bratislava, Slovakia. 2. Psychiatric Clinic, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic. 3. Department of Neurology, Faculty Hospital Bulovka, Prague, Czech Republic. 4. Department of Neurology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
Abstract
OBJECTIVE: Reported brain abnormalities in anatomy and function in psychiatric and neurological patients led to a project based on qualitative electroencephalography examination and analysis in an attempt to find specific brain derived pattern--or sequence of brain locations involved in processing various stimuli--both visual and auditory. METHODS: Specialized software called Brain Activation Sequences was built according to our team member specifications (M.S.). The software utilizes event related potentials recorded during cognitive/emotion processing in participants (healthy controls, neurological patients and psychiatric patients) to calculate the sequence of brain areas using nonlinear and linear algorithms. RESULTS: Results show significant differences in activation patterns between patients and healthy controls as well as significant similarities within the groups of patients and controls in both performed testing experiments.
OBJECTIVE: Reported brain abnormalities in anatomy and function in psychiatric and neurologicalpatients led to a project based on qualitative electroencephalography examination and analysis in an attempt to find specific brain derived pattern--or sequence of brain locations involved in processing various stimuli--both visual and auditory. METHODS: Specialized software called Brain Activation Sequences was built according to our team member specifications (M.S.). The software utilizes event related potentials recorded during cognitive/emotion processing in participants (healthy controls, neurologicalpatients and psychiatricpatients) to calculate the sequence of brain areas using nonlinear and linear algorithms. RESULTS: Results show significant differences in activation patterns between patients and healthy controls as well as significant similarities within the groups of patients and controls in both performed testing experiments.