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 Feb 13:13:27.
doi: 10.3389/fnhum.2019.00027. eCollection 2019.

Neural Connectivity in Syntactic Movement Processing

Affiliations

Neural Connectivity in Syntactic Movement Processing

Eduardo Europa et al. Front Hum Neurosci. .

Abstract

Linguistic theory suggests non-canonical sentences subvert the dominant agent-verb-theme order in English via displacement of sentence constituents to argument (NP-movement) or non-argument positions (wh-movement). Both processes have been associated with the left inferior frontal gyrus and posterior superior temporal gyrus, but differences in neural activity and connectivity between movement types have not been investigated. In the current study, functional magnetic resonance imaging data were acquired from 21 adult participants during an auditory sentence-picture verification task using passive and active sentences contrasted to isolate NP-movement, and object- and subject-cleft sentences contrasted to isolate wh-movement. Then, functional magnetic resonance imaging data from regions common to both movement types were entered into a dynamic causal modeling analysis to examine effective connectivity for wh-movement and NP-movement. Results showed greater left inferior frontal gyrus activation for Wh > NP-movement, but no activation for NP > Wh-movement. Both types of movement elicited activity in the opercular part of the left inferior frontal gyrus, left posterior superior temporal gyrus, and left medial superior frontal gyrus. The dynamic causal modeling analyses indicated that neither movement type significantly modulated the connection from the left inferior frontal gyrus to the left posterior superior temporal gyrus, nor vice-versa, suggesting no connectivity differences between wh- and NP-movement. These findings support the idea that increased complexity of wh-structures, compared to sentences with NP-movement, requires greater engagement of cognitive resources via increased neural activity in the left inferior frontal gyrus, but both movement types engage similar neural networks.

Keywords: dynamic causal modeling; functional magnetic resonance imaging; non-canonical sentences; sentence comprehension; syntactic movement.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Example trial from the auditory sentence-picture verification task.
Figure 2
Figure 2
Base dynamic causal model of network of regions involved in non-canonical sentence processing for sentence-picture verification task. LSFGm, Left superior frontal gyrus, medial part. LIFGop, left inferior frontal gyrus, opercular part. LSTGp, Left superior temporal gyrus, posterior part.
Figure 3
Figure 3
Significant fMRI activation (uncorrected voxelwise p < 0.001) of the contrasts Sentences > Baseline and vice-versa (corrected cluster-defining threshold k > 61), Non-canonical > Canonical (k > 43.4), and Wh > NP-movement (k > 42.1) from healthy adult participants.
Figure 4
Figure 4
Significant fMRI activation (uncorrected voxelwise p < 0.001) of Non-canonical > Canonical (corrected cluster-defining threshold k > 61) masked by Sentences > Baseline (k > 61) from healthy adult participants.
Figure 5
Figure 5
Results for wh-movement models (**p < 0.05, FDR-corrected; *p < 0.05, uncorrected; p < 0.08, uncorrected).
Figure 6
Figure 6
Results for NP-movement models (**p < 0.05, FDR-corrected; *p < 0.05, uncorrected; p < 0.08, uncorrected).

References

    1. Adank P. (2012a). Design choices in imaging speech comprehension: an activation likelihood estimation (ALE) meta-analysis. Neuroimage 63, 1601–1613. 10.1016/j.neuroimage.2012.07.027 - DOI - PubMed
    1. Adank P. (2012b). The neural bases of difficult speech comprehension and speech production: two activation likelihood estimation (ALE) meta-analyses. Brain Lang. 122, 42–54. 10.1016/j.bandl.2012.04.014 - DOI - PubMed
    1. Alario F. X., Chainay H., Lehericy S., Cohen L. (2006). The role of the supplementary motor area (SMA) in word production. Brain Res. 1076, 129–143. 10.1016/j.brainres.2005.11.104 - DOI - PubMed
    1. Alpert K., Kogan A., Parrish T., Marcus D., Wang L. (2016). The northwestern university neuroimaging data archive (NUNDA). Neuroimage 124, 1131–1136. 10.1016/j.neuroimage.2015.05.060 - DOI - PMC - PubMed
    1. Ben-Shachar M., Hendler T., Kahn I., Ben-Bashat D., Grodzinsky Y. (2003). The neural reality of syntactic transformations: evidence from functional magnetic resonance imaging. Psychol. Sci. 14, 433–440. 10.1111/1467-9280.01459 - DOI - PubMed