INTELLIGENCE LEVEL MIGHT BE PREDICTED BY THE CHARACTERISTICS OF EEG SIGNALS AT SPECIFIC FREQUENCIES AND BRAIN REGIONS

Author:

LUO SONG1,CHEN RUI1,YANG ZHENGTING1,LI KUN1

Affiliation:

1. School of Life Sciences, Guizhou Normal University Guiyang 550025, P. R. China

Abstract

The total energy the brain consumed and the intensities of information flows across different brain regions in an intellectual activity may help to explain an individual’s intelligence level. To verify this assumption, 43 students aged 18–25 were recruited as the research subjects. Their intelligence quotients (IQ) were scored by using Wechsler Adult Intelligence Scale (WAIS), while their electroencephalogram (EEG) signals were recorded simultaneously by using Neuroscan system. The total energy and distribution patterns of EEG signals were acquired in Curry 8.0. The intensities of information flow across different brain regions were measured by Phase Slope Index (PSI). 20 channels and 190 channel combinations were selected for data analysis. The results show that the IQ score negatively correlates to the EEG energy and positively correlates to the intensities of information flows at specific frequency bands in specific channel pairs, especially in some long distance (18–24[Formula: see text]cm) channel pairs.

Funder

Guizhou Provincial Science and Technology Foundation

Innovation Project Funding for Chinese Overseas Returnees

Initial Fund Key Laboratories of Guizhou Province

National Natural Science Foundation of China

Karst Science Research Center of Guizhou Province

Publisher

World Scientific Pub Co Pte Ltd

Subject

Biomedical Engineering

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