A watershed model of individual differences in fluid intelligence

Published

Journal Article

© 2016 The Authors 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.

Full Text

Duke Authors

Cited Authors

  • Kievit, RA; Davis, SW; Griffiths, J; Correia, MM; Cam-CAN, ; Henson, RN

Published Date

  • October 1, 2016

Published In

Volume / Issue

  • 91 /

Start / End Page

  • 186 - 198

Electronic International Standard Serial Number (EISSN)

  • 1873-3514

International Standard Serial Number (ISSN)

  • 0028-3932

Digital Object Identifier (DOI)

  • 10.1016/j.neuropsychologia.2016.08.008

Citation Source

  • Scopus