AGE-BASED VARIATIONS OF FRACTAL STRUCTURE OF EEG SIGNAL IN PATIENTS WITH EPILEPSY

It is known that aging affects neuroplasticity. On the other hand, neuroplasticity can be studied by analyzing the electroencephalogram (EEG) signal. An important challenge in brain research is to study the variations of neuroplasticity during aging for patients suffering from epilepsy. This study i...

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Published inFractals (Singapore) Vol. 26; no. 4; p. 1850051
Main Authors NAMAZI, HAMIDREZA, JAFARI, SAJAD
Format Journal Article
LanguageEnglish
Published Singapore World Scientific Publishing Company 01.08.2018
World Scientific Publishing Co. Pte., Ltd
Subjects
Aging
Brain
Complexity
Electroencephalography
Epilepsy
Fractals
Patients
Aging
Fractal
Electroencephalogram (EEG) Signal
Epilepsy
Complexity
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ISSN0218-348X
1793-6543
DOI10.1142/S0218348X18500512

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Summary:It is known that aging affects neuroplasticity. On the other hand, neuroplasticity can be studied by analyzing the electroencephalogram (EEG) signal. An important challenge in brain research is to study the variations of neuroplasticity during aging for patients suffering from epilepsy. This study investigates the variations of the complexity of EEG signal during aging for patients with epilepsy. For this purpose, we employed fractal dimension as an indicator of process complexity. We classified the subjects in different age groups and computed the fractal dimension of their EEG signals. Our investigations showed that as patients get older, their EEG signal will be more complex. The method of investigation that has been used in this study can be further employed to study the variations of EEG signal in case of other brain disorders during aging.
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ISSN:0218-348X
1793-6543
DOI:10.1142/S0218348X18500512