Back to Search
Start Over
Examining the multifactorial nature of a cognitive process using Bayesian brain-behavior modeling Running head: Bayesian brain-behavior modeling
- Publication Year :
- 2014
-
Abstract
- Establishing relationships among brain structures and cognitive functions is a central task in cognitive neuroscience. Existing methods to establish associations among a set of function variables and a set of brain regions, such as dissociation logic and conjunction analysis, are hypothesis-driven. We propose a new data-driven approach to structure-function association analysis. We validated it by analyzing a simulated atrophy study. We applied the proposed method to a study of aging and dementia. We found that the most significant age-related and dementia-related volume reductions were in the hippocampal formation and the supramarginal gyrus, respectively. These findings suggest a multi-component brain-aging model.
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.pmid..........5d88f8dba316b71ebe05dfcd84abecf4