1. A method for measuring neurometric IQ (nIQ) of a subject, the method comprising the steps of: (1) acquiring MRI and fMRI images for a brain of a subject; (2) processing the images measured in step (1); (3) determining structural predictors (structural IQ; sIQ) by using cortical thickness information and functional predictors (functional IQ; fIQ) by using activation level data for cerebra of the subject from the processed images; wherein said sIQ is determined according to Equation 1 below: sIQ = α + ∑ i = 1 n ⁢ ( β i + γ i · s ) · t i [ Equation ⁢ ⁢ 1 ] wherein t i is cortical gray matter thickness, s represents the sex of the subject and has a value of 1 in case where the subject is male and a value of 0 in case where the subject is female, n is the number of intelligence-related brain regions of interest (ROI), and α, β, and γ are values obtained by performing linear regression analysis of cortical thickness information of the subject and wherein said fIQ is determined according to Equation 2 below: fIQ = α + ∑ i = 1 n ⁢ ( β i + γ i · s ) · a i [ Equation ⁢ ⁢ 2 ] wherein a i is brain activation level of the subject, s represents the sex of the subject and has a value of 1 in case where the subject is male and a value of 0 in case where the subject is female, n is the number of intelligence-related brain regions of interest (ROI), and α, β, and γ are values obtained by performing linear regression analysis of activation level data of the subject; (4) measuring neurometric IQ (nIQ) of the subject by using the determined structural predictors and the functional predictors wherein said neurometric IQ of the subject is measured in step (4) according to Equation 3 below: 
 nIQ=β 1 ·sIQ+β 2 ·fIQ+α [Equation 3] wherein nIQ is neurometric IQ, sIQ is structural IQ, fIQ is functional IQ, and α, β1, and β2 are values obtained by performing linear regression analysis of sIQ and fIQ data of the subject.