A watershed model of individual differences in fluid intelligence.

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.

journal_name

Neuropsychologia

journal_title

Neuropsychologia

authors

Kievit RA,Davis SW,Griffiths J,Correia MM,Cam-Can,Henson RN

doi

10.1016/j.neuropsychologia.2016.08.008

subject

Has Abstract

pub_date

2016-10-01 00:00:00

pages

186-198

eissn

0028-3932

issn

1873-3514

pii

S0028-3932(16)30289-5

journal_volume

91

pub_type

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