Neurobiological method for measuring human intelligence and system for the same

A system for measuring neurometric IQ (nIQ) of a subject, the system comprising:

• (a) a unit for acquiring MRI and fMRI images for a brain of a subject;
• (b) a unit for processing the images acquired by the unit (a);
• (c) a unit for 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 images processed by the unit (b)
• 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 ti 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 ai 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;
• and
• (d) a unit for measuring neurometric IQ (nIQ) of the subject by using the structural predictors and the functional predictors determined by the unit (c) wherein said neurometric IQ of the subject is measured according to Equation 3 below:
• nIQ=β1·sIQ+β2·fIQ+α [Equation 3]
• wherein nIQ is neurometric IQ, sIQ is structural IQ, fIQ is functional IQ, and α, β1, and γ2 are values obtained by performing linear regression analysis of sIQ and fIQ data of the subject.