Intelligence Quotient Classification from Human MRI Brain Images Using Convolutional Neural Network

In cognitive neuroscience, exposing human intelligence has been of major interest to the researchers. Intelligence quotient (IQ) is a quantification of the intelligence of a person. It is a number which indicates an individual's intellectual capacities and potentials. Determining one's intelligence quotient helps us recognize a person's different mental deformities, disorders, autism, etc. IQ of a person is related to the human brain. The level of intelligence can be attributed to variations in certain regions of the brain and neural parameters. However, there is not much research pertaining to a person's IQ detection based on human physiological factors other than conducting skill tests. Inspired by the correlation between brain structure and intelligence, it is proposed to classify a person's IQ into one of the four classes using Convolutional Neural Network (CNN) by extracting the IQ-related features from human brain MRI images. The IQ classification in this work is based on Wechsler's Intelligence Scale.