Abstract linguistic structure correlates with temporal activity during naturalistic comprehension.

ABSTRACT: Neurolinguistic accounts of sentence comprehension identify a network of relevant brain regions, but do not detail the information flowing through them. We investigate syntactic information. Does brain activity implicate a computation over hierarchical grammars or does it simply reflect linear order, as in a Markov chain? To address this question, we quantify the cognitive states implied by alternative parsing models. We compare processing-complexity predictions from these states against fMRI timecourses from regions that have been implicated in sentence comprehension. We find that hierarchical grammars independently predict timecourses from left anterior and posterior temporal lobe. Markov models are predictive in these regions and across a broader network that includes the inferior front

SUBMITTER: Brennan JR 

PROVIDER: S-EPMC4893969 | biostudies-literature | 2016 Jun-Jul

REPOSITORIES: biostudies-literature