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Frontiers in PsychologyNeurosciencePeer-reviewed journal article

Towards a causal role of Broca's area in language: A TMS-EEG study on syntactic prediction

Matteo MaraniD, Ole NumsseniD, Gesa HartwigseniD, Emiliano ZaccarellaiD

PDFDOIPreprint

Abstract

Categorical predictions have been proposed as the key mechanism supporting the fast pace of syntactic composition in human language. Accordingly, grammar-based expectations facilitate the analysis of incoming syntactic information--e.g., hearing the determiner "the" enhances the prediction of a noun--which is then checked against a single or few other word categories. Previous functional neuroimaging studies point towards Brocas area in the left inferior frontal gyrus (IFG) as one fundamental cortical region involved in categorical prediction during on-line language processing. Causal evidence for this hypothesis is however still missing. In this study, we combined Electroencephalography (EEG) and Transcranial Magnetic Stimulation (TMS) to test whether Brocas area is functionally relevant in predictive mechanisms for language. Specifically, we transiently perturbed Brocas area during the categorical prediction phase in two-word constructions, while simultaneously measuring the Event-Related Potential (ERP) correlates of syntactic composition. We reasoned that if Brocas area is involved in predictive mechanisms for syntax, disruptive TMS during the processing of the first word (determiner/pronoun) would mitigate the difference in ERP responses for predicted and unpredicted categories when composing basic phrases and sentences. Contrary to our hypothesis, perturbation of Brocas area at the predictive stage did not affect the ERP correlates of basic composition. The correlation strength between the electrical field induced by TMS and the magnitude of the EEG response on the scalp further confirmed this pattern. We discuss the present results in light of an alternative account of the role of Brocas area in syntactic composition, namely the bottom-up integration of words into constituents.

Citations
21
FWCI
2.32
Field percentile
top 11%

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