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Psychophysiological correlates induced by visual food stimuli during hunger and satiety
Schlezingerová, Nicol ; Telenský, Petr (advisor) ; Landová, Eva (referee)
Obesity and its increasing prevalence contribute to the development of diseases of affluence, including type 2 diabetes, metabolic syndrome, and several cardiovascular, oncological and neuropsychiatric diseases. Therefore, it is important to understand the mechanism of food intake at the behavioural level, including the influence of maladaptive factors, such as the frequent exposure to visual high-calorie food stimuli in modern society. In this work, changes in visual attention and selected psychopphysiological correlates (electrodermal activity and salivary biomarkers alpha-amylase and cortisol) in response to visual food stimuli were investigated in healthy, adult non-obese (BMI < 25) volunteers of both sexes. We investigated changes of psychophysiological correlates like visual attention, electrodermal activity and salivary biomarkers (alpha-amylase and cortisol) in response to visual food stimuli in healthy, adult, non-obese (BMI < 25) volunteers of both sexes. Experiment started with questionnaire for self measuring hunger and satiety, saliva sampling and then subject were instructed for presentation of visual food cues of three categories - high-calorie, low-calorie and non-food - they were presented to the subjects on a computer screen. Visual attention to the stimuli was determined using...
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EEG correlates of neurodegenerative disorders
Schlezingerová, Nicol ; Telenský, Petr (advisor) ; Kelemen, Eduard (referee)
Due to the aging of the population, there is an increasing incidence of neurodegenerative diseases. In clinical practice there is a need to for a cheap and noninvasive method for screening and early diagnosis of neurodegenerative disorders. To this end, markers of disease progression and prognosis must be determined. EEG correlates provide information that can be used in the diagnosis and prognosis of neurodegenerative disorders. Individual diseases have their specific EEG abnormalities that are closely related to different stages of the disease. Individual illnesses - Alzheimer's disease, Parkinson's disease, Huntington's disease have their specific changes in the basic rhythms of the brain that correlate with motor and cognitive changes. This work focuses on the quantitative (qEEG) correlates of the above-mentioned diseases. Key words: brain, neural activity, EEG, quantitative EEG analysis, biomarker, connectivity, neurodegeneration, Alzheimer's disease, Parkinson's disease, Huntington's disease.
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