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Related Experiment Video

Updated: May 11, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

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Prediction for human intelligence using morphometric characteristics of cortical surface: partial least square

J-J Yang¹, U Yoon, H J Yun

¹Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.

|May 7, 2013

Summary

Combining multiple measures of cerebral cortex structure, including thickness, surface area, and curvature, can predict 30% of human intelligence (full-scale intelligence quotient). Cortical thickness was a significant factor in this prediction model.

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Last Updated: May 11, 2026

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Area of Science:

Neuroimaging
Cognitive Neuroscience
Human Intelligence Research

Background:

Neuroanatomical correlates of human intelligence have been identified using brain imaging.
The extent to which specific cortical morphological properties explain intelligence remains unclear.

Purpose of the Study:

To investigate if combining cortical thickness, surface area, sulcal depth, and mean curvature can effectively predict human intelligence (full-scale intelligence quotient - FSIQ).

Main Methods:

Partial least square (PLS) regression was employed to analyze inter-related cortical measures in 78 healthy young adults.
FSIQ scores and individual cortical measurements were used to build a predictive model.

Main Results:

The combined cortical measures explained 30% of the variance in FSIQ through the first latent variable in the PLS analysis.
Cortical thickness emerged as a substantial contributing factor within the PLS model for predicting FSIQ.

Conclusions:

A predictive model integrating diverse morphometric properties of the cerebral cortex shows promise for assessing human intelligence.
This approach offers a more comprehensive understanding of the neuroanatomical basis of intelligence.