APS
29th APS Annual Convention · 2017
Modeling the Contribution of Genetic Variation to Cognitive Gains Following Training with Artificial Neural Networks
- Mariel Musso
UADE - Mariel Musso
CONICET/ University of Granada - Eduardo Cascallar
KU Leuven - Lina M. Cómbita
University of Granada - M. Rosario Rueda
Universidad de Granada
Abstract
Artificial neural network analyses were performed to model the level of gain in working memory (WM) and fluid intelligence (IQ-f) following a process-based cognitive training program for children. Two different patterns involving specific genetic markers, gender and age achieved high accuracy to predict both gains in WM and IQ-f.
Behavior Genetics
