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On sense and reference: examining the functional neuroanatomy of referential processing
Mante S Nieuwland1, Karl Magnus Petersson, Jos J A Van Berkum
1Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. mante@nmr.mgh.harvard.edu
Neuroimage
|July 6, 2007
Summary
Understanding language comprehension involves more than just parsing sentences. Brain imaging reveals distinct neural networks for resolving pronoun ambiguity and semantic errors, highlighting complex cognitive processes.
Area of Science:
- Neuroscience
- Cognitive Science
- Psycholinguistics
Background:
- Language comprehension relies on understanding sentence structure and word meanings.
- Resolving pronoun reference (who is who) and semantic coherence are crucial aspects of comprehension.
- The neural basis for resolving referential ambiguity and semantic anomalies is not fully understood.
Purpose of the Study:
- To investigate the cortical networks engaged during the resolution of referential ambiguity and referential failure in language comprehension.
- To compare the neural activation patterns associated with referential problems versus semantic anomalies.
- To elucidate the neurocognitive mechanisms underlying the establishment of reference in discourse.
Main Methods:
- Event-related functional magnetic resonance imaging (fMRI) was employed.
- Blood-oxygen-level-dependent (BOLD) responses were measured while participants processed sentences with ambiguous, failing, or coherent pronouns.
- Comparisons were made between different types of referential problems and standard semantic anomalies.
Main Results:
- Referential ambiguity selectively activated medial prefrontal regions, indicative of problem-solving for referent selection.
- Referential failure increased activation in morpho-syntactic processing areas and, for some, elaborative inferencing regions.
- A double dissociation was observed: semantic anomaly processing deactivated regions involved in referential ambiguity, and vice versa, suggesting inverse neural coupling.
Conclusions:
- Distinct neural networks support the resolution of referential ambiguity and semantic anomalies during language comprehension.
- The findings suggest dynamic recruitment of semantic and episodic memory systems to address different types of linguistic challenges.
- Neurocognitive models of language comprehension must account for the processes involved in determining entities and their relationships (who's who and what's what).
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