Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity
MLSP 2017
Pages: 1 - 6
Published: Sep 1, 2017
Abstract
Variation in several brain regions and neural parameters is associated with intelligence. In this study, we adopted functional connectivity (FC) based on Brainnetome-atlas to predict the intelligence quotient (IQ) scores quantitatively with a prediction framework incorporating advanced feature selection and regression methods. We compared prediction performance of five regression models and evaluated the effectiveness of feature selection. The...
Paper Details
Title
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity
Published Date
Sep 1, 2017
Pages
1 - 6
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