RT Journal Article SR Electronic T1 A watershed model of individual differences in fluid intelligence JF bioRxiv FD Cold Spring Harbor Laboratory SP 041368 DO 10.1101/041368 A1 Rogier A. Kievit A1 Simon W. Davis A1 John Griffiths A1 Marta Correia A1 Cam-CAN A1 Richard N. Henson YR 2016 UL http://biorxiv.org/content/early/2016/06/23/041368.abstract AB 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 study (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.