Category fluency, latent semantic analysis and schizophrenia: a candidate gene approach.

ABSTRACT:

Background

Category fluency is a widely used task that relies on multiple neurocognitive processes and is a sensitive assay of cortical dysfunction, including in schizophrenia. The test requires naming of as many words belonging to a certain category (e.g., animals) as possible within a short period of time. The core metrics are the overall number of words produced and the number of errors, namely non-members generated for a target category. We combine a computational linguistic approach with a candidate gene approach to examine the genetic architecture of this traditional fluency measure.

Methods

In addition to the standard metric of overall word count, we applied a computational approach to semantics, Latent Semantic Analysis (LSA), to analyse the clustering pattern of the

SUBMITTER: Nicodemus KK 

PROVIDER: S-EPMC4039573 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature