ArticleNeuropsychologia2018
"Neural overlap of L1 and L2 semantic representations across visual and auditory modalities: a decoding approach".
Article in Neuropsychologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 35 citations in OpenAlex.
- Evidence for an integrated bilingual language system from discourse tasks in aphasia.Aphasiology · 2026Article
- Evidence for an Integrated Bilingual Language System from Discourse Tasks in Aphasia.bioRxiv : the preprint server for biology · 2025Article
- Multilingual Computational Models Capture a Shared Meaning Component in Brain Responses across 21 Languages.bioRxiv : the preprint server for biology · 2025Article
- LexCHI: A quick lexical test for estimating language proficiency in Chinese.Behavior research methods · 2024Article
- Domain-general and language-specific contributions to speech production in a second language: an fMRI study using functional localizers.Scientific reports · 2024Article
- EEG-based BCI Dataset of Semantic Concepts for Imagination and Perception Tasks.Scientific data · 2023Article
- Changes in fear-associated learning task brain activation over the COVID-19 pandemic period: a preliminary longitudinal analysis.Frontiers in psychiatry · 2023Article
- The neuroanatomical consequences and pathological implications of bilingualism.Journal of anatomy · 2022Review
- Increased Gray Matter Volume Induced by Chinese Language Acquisition in Adult Alphabetic Language Speakers.Frontiers in psychology · 2022Article
- Watershed Brain Regions for Characterizing Brand Equity-Related Mental Processes.Brain sciences · 2021Article
- Neural representational similarity between L1 and L2 in spoken and written language processing.Human brain mapping · 2020Article
- Sign and Speech Share Partially Overlapping Conceptual Representations.Current biology : CB · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
Abstract
This study investigated whether brain activity in Dutch-French bilinguals during semantic access to concepts from one language could be used to predict neural activation during access to the same concepts from another language, in different language modalities/tasks. This was tested using multi-voxel pattern analysis (MVPA), within and across language comprehension (word listening and word reading) and production (picture naming). It was possible to identify the picture or word named, read or heard in one language (e.g. maan, meaning moon) based on the brain activity in a distributed bilateral brain network while, respectively, naming, reading or listening to the picture or word in the other language (e.g. lune). The brain regions identified differed across tasks. During picture naming, brain activation in the occipital and temporal regions allowed concepts to be predicted across languages. During word listening and word reading, across-language predictions were observed in the rolandic operculum and several motor-related areas (pre- and postcentral, the cerebellum). In addition, across-language predictions during reading were identified in regions typically associated with semantic processing (left inferior frontal, middle temporal cortex, right cerebellum and precuneus) and visual processing (inferior and middle occipital regions and calcarine sulcus). Furthermore, across modalities and languages, the left lingual gyrus showed semantic overlap across production and word reading. These findings support the idea of at least partially language- and modality-independent semantic neural representations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.