Presented at OHBM2017

Altmetric score 11.65 (top 8.7%)

Author: Rogier Kievit
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Research area: neuroscience
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A watershed model of individual differences in fluid intelligence


Created on 26th February 2016

Rogier A Kievit; Simon W Davis; John D Griffiths; Marta M Correia; Cam-CAN; Richard N A Henson;


Fluid intelligence is a crucial cognitive ability that predicts key life outcomes across the lifespan. Strong empirical links exist between fluid intelligence and processing speed on the one hand, and white matter integrity and processing speed on the other hand. We propose a watershed model that integrates these three explanatory levels in a principled manner in a single statistical model, with processing speed and white matter figuring as intermediate endophenotypes. We fit this model in a large (N=562) adult lifespan cohort of the Cambridge Centre for Ageing and Neuroscience study (Cam-CAN) using multiple measures of processing speed, white matter health and fluid intelligence. The model fit the data well, outperforming competing models, providing evidence for a many-to-one mapping between white matter integrity, processing speed and fluid intelligence, and can be naturally extended to integrate other cognitive domains, endophenotypes and genotypes.

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