Article in Journal of neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Mathias HuybrechtsComputational Neurology, Experimental Neurobiology Unit (ENU), Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0009-0008-2567-7866
Rose BruffaertsComputational Neurology, Experimental Neurobiology Unit (ENU), Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0002-2631-9234
Alvincé Le Arnz PongosBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.ORCID 0000-0001-6093-0777
Cory ShainBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.ORCID 0000-0002-2704-7197
Benjamin LipkinBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.ORCID 0000-0001-7465-5315
Matthew SiegelmanBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.
Vincent WensLaboratoire de Neuroanatomie et Neuroimagerie translationnelles (LN2T), ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.
Martin SjøgårdDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States.ORCID 0000-0002-7768-9454
Idan Asher BlankBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.ORCID 0000-0001-7057-8391
Serge GoldmanLaboratoire de Neuroanatomie et Neuroimagerie translationnelles (LN2T), ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0002-9917-8735
Xavier De TiègeLaboratoire de Neuroanatomie et Neuroimagerie translationnelles (LN2T), ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0003-0127-089X
Evelina FedorenkoBrain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.ORCID 0000-0003-3823-514X
Funding
Computational Neuroscience of Language Processing in the Human BrainU01NS121471 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA, RICHARDSON, ROBERT MARK · 2021 to 2025
$3.2M
Functional reorganization of the language and domain-general multiple demand systems in aphasiaR01DC016950 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FEDORENKO, EVELINA, KIRAN, SWATHI · 2019 to 2023
$3.2M
The neural architecture of pragmatic processingR01DC016607 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FEDORENKO, EVELINA · 2018 to 2022
$2.4M
Fondation Francqui - Stichting (La Fondation Francqui)Fonds Wetenschappelijk Onderzoek (FWO) 11AAS26NFonds Wetenschappelijk Onderzoek (FWO) 12I2117NFonds Wetenschappelijk Onderzoek (FWO) 12I2121NFonds Wetenschappelijk Onderzoek (FWO) 1509318NHHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) U01-NS121471HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01-DC016607HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01-DC016950NIDCD NIH HHS R01 DC016607NIDCD NIH HHS R01 DC016950NINDS NIH HHS U01 NS121471
6 · The paper itself
Abstract
Making meaningful inferences about the functional architecture of the language system requires the ability to refer to the same neural units across individuals and studies. Traditional brain imaging approaches align and average brains together in a common space. However, lateral frontal and temporal cortices, where the language system resides, are characterized by high structural and functional interindividual variability, which reduces the sensitivity and functional resolution of group-averaging analyses. This issue is compounded by the fact that language areas lie in close proximity to regions of other large-scale networks with different functional profiles. A solution inspired by vision neuroscience is to identify language areas functionally in each individual brain using a "localizer" task (e.g., a language comprehension task). This approach has proven productive in fMRI, yielding a number of robust and replicable findings about the language system. Here, we extend this approach to MEG. Across two experiments (one in Dutch speakers,
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.
Functional identification of language-responsive sensors in individual participants in MEG investigations. · full record | OpenQuestion