Causal Contributions of the Domain-General (Multiple Demand) and the Language-Selective Brain Networks to Perceptual and Semantic Challenges in Speech Comprehension

Author:

MacGregor Lucy J.1ORCID,Gilbert Rebecca A.1ORCID,Balewski Zuzanna2,Mitchell Daniel J.1ORCID,Erzinçlioğlu Sharon W.1ORCID,Rodd Jennifer M.3ORCID,Duncan John1ORCID,Fedorenko Evelina456ORCID,Davis Matthew H.1ORCID

Affiliation:

1. MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK

2. Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA

3. Psychology and Language Sciences, University College London, London, UK

4. Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA

5. McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA

6. Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA

Abstract

Abstract Listening to spoken language engages domain-general multiple demand (MD; frontoparietal) regions of the human brain, in addition to domain-selective (frontotemporal) language regions, particularly when comprehension is challenging. However, there is limited evidence that the MD network makes a functional contribution to core aspects of understanding language. In a behavioural study of volunteers (n = 19) with chronic brain lesions, but without aphasia, we assessed the causal role of these networks in perceiving, comprehending, and adapting to spoken sentences made more challenging by acoustic-degradation or lexico-semantic ambiguity. We measured perception of and adaptation to acoustically degraded (noise-vocoded) sentences with a word report task before and after training. Participants with greater damage to MD but not language regions required more vocoder channels to achieve 50% word report, indicating impaired perception. Perception improved following training, reflecting adaptation to acoustic degradation, but adaptation was unrelated to lesion location or extent. Comprehension of spoken sentences with semantically ambiguous words was measured with a sentence coherence judgement task. Accuracy was high and unaffected by lesion location or extent. Adaptation to semantic ambiguity was measured in a subsequent word association task, which showed that availability of lower-frequency meanings of ambiguous words increased following their comprehension (word-meaning priming). Word-meaning priming was reduced for participants with greater damage to language but not MD regions. Language and MD networks make dissociable contributions to challenging speech comprehension: Using recent experience to update word meaning preferences depends on language-selective regions, whereas the domain-general MD network plays a causal role in reporting words from degraded speech.

Funder

Medical Research Council UK

National Institutes of Health

McGovern Institute for Brain Research

Economic and Social Research Council UK

Publisher

MIT Press

Subject

Neurology,Linguistics and Language

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