Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Jul;9(7):e01308.
doi: 10.1002/brb3.1308. Epub 2019 Jun 14.

Sentence processing is modulated by the current linguistic environment and a priori information: An fMRI study

Affiliations

Sentence processing is modulated by the current linguistic environment and a priori information: An fMRI study

Kirsten Weber et al. Brain Behav. 2019 Jul.

Abstract

Introduction: Words are not processed in isolation but in rich contexts that are used to modulate and facilitate language comprehension. Here, we investigate distinct neural networks underlying two types of contexts, the current linguistic environment and verb-based syntactic preferences.

Methods: We had two main manipulations. The first was the current linguistic environment, where the relative frequencies of two syntactic structures (prepositional object [PO] and double-object [DO]) would either follow everyday linguistic experience or not. The second concerned the preference toward one or the other structure depending on the verb; learned in everyday language use and stored in memory. German participants were reading PO and DO sentences in German while brain activity was measured with functional magnetic resonance imaging.

Results: First, the anterior cingulate cortex (ACC) showed a pattern of activation that integrated the current linguistic environment with everyday linguistic experience. When the input did not match everyday experience, the unexpected frequent structure showed higher activation in the ACC than the other conditions and more connectivity from the ACC to posterior parts of the language network. Second, verb-based surprisal of seeing a structure given a verb (PO verb preference but DO structure presentation) resulted, within the language network (left inferior frontal and left middle/superior temporal gyrus) and the precuneus, in increased activation compared to a predictable verb-structure pairing.

Conclusion: In conclusion, (1) beyond the canonical language network, brain areas engaged in prediction and error signaling, such as the ACC, might use the statistics of syntactic structures to modulate language processing, (2) the language network is directly engaged in processing verb preferences. These two networks show distinct influences on sentence processing.

Keywords: brain mapping; comprehension; humans; language; magnetic resonance imaging.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Interactions between type of structure (DO vs. PO) and “Current Structure Statistics” (“Unexpected Distribution: 25% DO/75% PO” vs. “Expected Distribution: 75% DO/25% PO”). (a) Whole‐brain activation results, (b) PPI connectivity results (in red) from a seed in ACC (in yellow). Effects are shown at a voxel‐level significance threshold of p <  0.001 with a cluster‐level threshold pFWE < 0.05 or pSVC < 0.05. Bar graphs show mean contrast values per condition for a cluster. Stars indicate the follow‐up t tests between the PO and the DO structure (α = 0.0125) that reached significance. See Table 2 for a complete list of activations and connectivity patterns
Figure 2
Figure 2
Parametric modulations of verb‐based syntactic surprisal for the DO sentence structure. Effects are shown at a voxel‐level threshold of < 0.001, k = 25, and survive FWE or SVC correction (see Table 5)

Similar articles

Cited by

References

    1. Aarts, E. , & Roelofs, A. (2011). Attentional control in anterior cingulate cortex based on probabilistic cueing. Journal of Cognitive Neuroscience, 23, 716–727. 10.1162/jocn.2010.21435 - DOI - PubMed
    1. Alexander, W. H. , & Brown, J. W. (2011). Medial prefrontal cortex as an action‐outcome predictor. Nature Neuroscience, 14(10), 1338. - PMC - PubMed
    1. Alexander, W. H. , & Brown, J. W. (2015). Hierarchical error representation: A computational model of anterior cingulate and dorsolateral prefrontal cortex. Neural Computation, 27(11), 2354–2410. - PubMed
    1. Alexander, W. H. , & Brown, J. W. (2017). The role of the anterior cingulate cortex in prediction error and signaling surprise. Topics in Cognitive Science. 11, 119–135. 10.1111/tops.12307 - DOI - PubMed
    1. Allen, K. , Pereira, F. , Botvinick, M. , & Goldberg, A. E. (2012). Distinguishing grammatical constructions with fMRI pattern analysis. Brain and Language, 123(3), 174–182. 10.1016/j.bandl.2012.08.005 - DOI - PubMed

Publication types