ArticleCurrent directions in psychological science2021
Similarity of computations across domains does not imply shared implementation: The case of language comprehension.
Article in Current directions in psychological science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Role of the Right Language Network and the Multiple-Demand Network in Verbal Semantics: Insights From an Activation Likelihood Estimation Meta-Analysis of 561 Functional Neuroimaging Studies.Human brain mapping · 2025Pooled it
- Non-literal language processing is jointly supported by the language and theory of mind networks: Evidence from a novel meta-analytic fMRI approach.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Pooled it
- Bidirectional Interactions Between Language and Music in a Dual Task Experiment Without Syntactic Violations.Cognitive science · 2026Article
- Domain-general and language-specific brain networks are differentially associated with verbal intelligence during development.iScience · 2026Article
- Selectivity for high-level language processing is highly localized in individual brains.bioRxiv : the preprint server for biology · 2026Article
- Exploring the relationship between auditory processing characteristics and cognition in preschool children with developmental language disorder based on fNIRS.Journal of neurodevelopmental disorders · 2026Article
- Stronger right-hemispheric involvement in language processing is associated with greater functional connectivity between the left-lateralized language-related network and the cingulo-opercular network.Brain structure & function · 2026Article
- Working Memory, Attention Control, and Vocabulary Retention in AI (ChatGPT)-Assisted Foreign Language Learning: A Structural Cognitive Modelling Approach.Journal of Intelligence · 2026Article
- Language comprehension in chronic aphasia relies on the language network, not the Multiple Demand network.medRxiv : the preprint server for health sciences · 2026Article
- Recursion beyond language: Lexical and arithmetic interference in visual hierarchical embedding.Psychological research · 2026Article
- Neurology of social graces in patients with language deficits.Journal of neurology, neurosurgery, and psychiatry · 2026Article
- Multilingual Computational Models Capture a Shared Meaning Component in Brain Responses across 21 Languages.bioRxiv : the preprint server for biology · 2025Article
- Acquisition and Utilization of Recursive Rules in Motor Sequence Generation.Cognitive science · 2025Article
- Article
- An efficient multifunction fMRI localizer for high-level visual, auditory, and cognitive regions in humans.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Visual recursion without recursive language? a case study of a minimally verbal autistic child.Frontiers in psychiatry · 2025Article
- Linguistic inputs must be syntactically parsable to fully engage the language network.bioRxiv : the preprint server for biology · 2024Article
- An inclusive multivariate approach to neural localization of language components.Brain structure & function · 2024Article
- The language network as a natural kind within the broader landscape of the human brain.Nature reviews. Neuroscience · 2024Review
- Cognitive and Neural Representations of Fractals in Vision, Music, and Action.Advances in neurobiology · 2024Article
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Abstract
Understanding language requires applying cognitive operations (e.g., memory retrieval, prediction, structure building)-relevant across many cognitive domains-to specialized knowledge structures (a particular language's phonology, lexicon, and syntax). Are these computations carried out by domain-general circuits or by circuits that store domain-specific representations? Recent work has characterized the roles in language comprehension of the language-selective network and the multiple demand (MD) network, which has been implicated in executive functions and linked to fluid intelligence, making it a prime candidate for implementing computations that support information processing across domains. The language network responds robustly to diverse aspects of comprehension, but the MD network shows no sensitivity to linguistic variables. We therefore argue that the MD network does not play a core role in language comprehension, and that past claims to the contrary are likely due to methodological artifacts. Although future studies may discover some aspects of language that require the MD network, evidence to date suggests that those will not be related to core linguistic processes like lexical access or composition. The finding that the circuits that store linguistic knowledge carry out computations on those representations aligns with general arguments against the separation between memory and computation in the mind and brain.
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