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The domain-general multiple demand (MD) network does not support core aspects of language comprehension: a large-scale fMRI investigation
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4536.full.pdf
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Published version
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1.47 MB
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a24f1398db261adde811d98a3f01ba0e
Author(s) • • • •
Diachek, Evgeniia
Blank, Idan
Siegelman, Matthew
Affourtit, Josef
Fedorenko, Evelina
Date Issued
2020
Journal
Journal of Neuroscience
Publisher
Society for Neuroscience
Version
Final published version
Abstract
Aside from the language-selective left-lateralized fronto-temporal network, language comprehension sometimes recruits a domain-general bilateral fronto-parietal network implicated in executive functions: the multiple demand (MD) network. However, the nature of the MD network's contributions to language comprehension remains debated. To illuminate the role of this network in language processing in humans, we conducted a large-scale fMRI investigation using data from 30 diverse word and sentence comprehension experiments (481 unique participants (female and male), 678 scanning sessions). In line with prior findings, the MD network was active during many language tasks. Moreover, similar to the language-selective network, which is robustly lateralized to the left hemisphere, these responses were stronger in the left-hemisphere MD regions. However, in contrast with the language-selective network, the MD network responded more strongly (i) to lists of unconnected words than to sentences, and (ii) in paradigms with an explicit task compared to passive comprehension paradigms. In fact, many passive comprehension tasks failed to elicit a response above the fixation baseline in the MD network, in contrast to strong responses in the language-selective network. Together, these results argue against a role for the MD network in core aspects of sentence comprehension like inhibiting irrelevant meanings or parses, keeping intermediate representations active in working memory, or predicting upcoming words or structures. These results align with recent evidence of relatively poor tracking of the linguistic signal by the MD regions during naturalistic comprehension, and instead suggest that the MD network's engagement during language processing reflects effort associated with extraneous task demands.
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DOI of Published Version
10.1523/JNEUROSCI.2036-19.2020