A watershed model for age-related differences in executive functions.
|Date||29 April 2016|
|Time||16:00 - 17:00|
We propose a watershed model that integrates these three explanatory levels in a principled manner in a single structural equation 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, www.cam-can.org) 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 naturally explains several age-related changes and differences commonly observed.
The watershed model can be naturally extended to integrate other cognitive domains, endophenotypes and genotypes.