Sign in
NeuroscienceCerebral Cortex
Peer-reviewed journal article

Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network

Leila WehbeiD, Idan BlankiD, Cory ShainiD, Richard FutrelliD, Roger LévyiD, Titus von der MalsburgiD, Nathaniel J. SmithiD, Edward A. F. GibsoniD, Evelina G. FedorenkoiD

Abstract

What role do domain-general executive functions play in human language comprehension? To address this question, we examine the relationship between behavioral measures of comprehension and neural activity in the domain-general "multiple demand" (MD) network, which has been linked to constructs like attention, working memory, inhibitory control, and selection, and implicated in diverse goal-directed behaviors. Specifically, fMRI data collected during naturalistic story listening are compared to theory-neutral measures of online comprehension difficulty and incremental processing load (reading times and eye-fixation durations). Critically, to ensure that variance in these measures is driven by features of the linguistic stimulus rather than reflecting participant-or trial-level variability, the neuroimaging and behavioral datasets were collected in non-overlapping samples. We find no behavioral-neural link in functionally localized MD regions; instead, this link is found in the domain-specific, fronto-temporal "core language network", in both left hemispheric areas and their right hemispheric homologues. These results argue against strong involvement of domain-general executive circuits in language comprehension.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISDiachek '20Blank '17Gao '26Shain '22MacGregor '22Havin '26
88% semantic matchNeuroscience
Evgeniia Diachek, Idan Blank, Matthew Siegelman+2 more·Journal of Neuroscience·Apr 21, 2020· 199 citations