Prediction for human intelligence using morphometric characteristics of cortical surface: Partial least square analysis - Yang, J.-J.; Yoon, U.; Yun, H.J.; Im, K.; Choi, Y.Y.; Lee, K.H.; Park, H.; Hough, M.G.; Lee, J.-M. (Neuroscience, 2013)
Keywords: Biological and medical sciences; Cerebral Cortex - anatomy & histology; Cerebral Cortex - physiology; cortical thickness; curvature; Echo-Planar Imaging - methods; Female; Forecasting; Fundamental and applied biological sciences. Psychology; human intelligence; Humans; Intelligence - physiology; Least-Squares Analysis; Male; Neurology; partial least square regression; sulcal depth; surface area; Vertebrates: nervous system and sense organs; Young Adult; sulcal depth; RMSEp; ICA; cortical thickness; IQ; P-FIT; RMSE; AAL; partial least square regression; PRESS; PCA; curvature; surface area; human intelligence; FSIQ; BAs; RESS; PLS; WAIS; Predicted Residual Estimated Sum of Squares; root mean squared error of the predicted residual sum; Parieto-Frontal Integration Theory; independent component analysis; Brodmann areas; Residual Estimated Sum of Squares; root mean squared error of the residual sum; partial least square; Wechsler Adult Intelligence Scale Revised; full-scale intelligence quotient; automated anatomical labeling; intelligence quotient; principal component analysis; Human; Intelligence