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EEG Research with graph theory

EEG Research with graph theory. Ivan Grechikhin. EEG. Electro e ncephalo g raphy (EEG) – special way to retrieve the activity of brains Graph theory – good for visualization purposes An e lectrode represents a point in graph Every electrode has a characteristic – a numerical series

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EEG Research with graph theory

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  1. EEG Research with graph theory Ivan Grechikhin

  2. EEG • Electroencephalography (EEG) – special way to retrieve the activity of brains • Graph theory – good for visualization purposes • An electrode represents a point in graph • Every electrode has a characteristic – a numerical series • Measure of closeness of two electrodes must compare two numerical series • As a result, we must somehow display the most significant or interesting connections in brain.

  3. Technique • Measures of closeness – coherency, imaginary part of coherency, synchronization likelihood • Minimal spanning trees (MST) were used as a structure for visualizing and researching • The goal is to find difference between brain properties of left-handed and right handed people • Summarizing, we try to find differences of MST properties for left-handed and right-handed people.

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