Elsevier

Neuropsychologia

Volume 91, October 2016, Pages 186-198
Neuropsychologia

A watershed model of individual differences in fluid intelligence

https://doi.org/10.1016/j.neuropsychologia.2016.08.008Get rights and content
Under a Creative Commons license
open access

Highlights

  • A watershed model is proposed to explain individual differences in fluid intelligence.

  • The model suggests a hierarchical, many-to-one cascade of partially independent effects.

  • White matter affects processing speed, which in turn affects fluid intelligence.

  • A structural equation model implementation of the watershed model is developed.

  • In an N=555 lifespan sample (18–87) the watershed model outperforms competing models.

Abstract

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. 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=555) adult lifespan cohort from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) using multiple measures of processing speed, white matter health and fluid intelligence. The model fit the data well, outperforming competing models and providing evidence for a many-to-one mapping between white matter integrity, processing speed and fluid intelligence. The model can be naturally extended to integrate other cognitive domains, endophenotypes and genotypes.

Keywords

Cognitive ageing
White matter
Processing speed
Fluid intelligence
Structural Equation Modelling
Watershed model

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