Multifractal parameters as an indication of different physiological and pathological states of the human brain

• We analyze EEG pattern of normal humans and patients with epilepsy.
• Different physiological states (eyes open and closed) were analyzed for a normal set.
• Data from different sections of the brain and seizure activity was analyzed.
• Different values of width for different physiological and pathological states.
• MFDFA can be employed for diagnosis of the epileptogenic zone.

This paper presents a study on multifractal parameters of EEG patterns on the human brain. Multifractal detrended fluctuation analysis was applied to human EEG for normal and epileptic patients in different states. The results show that the degree of multifractality of EEG for patients in an epileptic seizure are much higher compared to normal healthy people. The degree of multifractality for normal humans with eyes open and closed was also significantly different. Thus the multifractal parameters can be used to distinguish between different physiological and pathological states of the human brain. The results are discussed in detail.