CROSS-RELATIONAL STUDY BETWEEN INTELLIGENCE AND BRAIN ASYMMETRY ABILITIES USING EEG-BASED IQ CLASSIFICATION MODEL

EEG is an established technique that has been widely implemented in brain research. Recent innovations in signal processing approaches have allowed implementation of EEG beyond the clinical settings. It has been widely acknowledged that each individual exhibits multi-facet potential which is rooted in the brain. Hence, there is a possibility that these abilities are inter-related with each other. This study proposes to map the relationship between intelligence quotient (IQ) and brain asymmetry (BA) using EEG and intelligent signal processing approach. EEG-based ANN modelling has been previously developed and enhanced. The model is then implemented to predict three levels of IQ (low, medium and high IQ) from 51 samples with distinct BA indices. The indices are derived from Alpha asymmetry score. Mapping between IQ and BA revealed that through a systematic technique; significant relationship exists between distinct IQ levels and symmetrical brain indices. Findings have demonstrated that the best performance occur when subjects maintain relatively balanced control between the two hemispheres. Hence, by implementing feedforward neural network model based on EEG power ratio features, the attempt to relate IQ with BA has been realised with promising results.