Evidence map›Paper›PMID 36002263›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Robust Effects of Working Memory Demand during Naturalistic Language Comprehension in Language-Selective Cortex.

Cory Shain, Idan A Blank, Evelina Fedorenko, Edward Gibson, William Schuler

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 68 citations in OpenAlex.

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  8. Modeling Memory Effects in a Head-Final Language With Category Locality.Open mind : discoveries in cognitive science · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Cory ShainMassachusetts Institute of Technology, Cambridge, Massachusetts 02478 cshain@mit.edu.
Idan A BlankUniversity of California, Los Angeles, Los Angeles, California 90095.
Evelina FedorenkoMassachusetts Institute of Technology, Cambridge, Massachusetts 02478.
Edward GibsonMassachusetts Institute of Technology, Cambridge, Massachusetts 02478.
William SchulerThe Ohio State University, Columbus, Ohio 43210.
Massachusetts Institute of Technology · USThe Ohio State University · USUniversity of California, Los Angeles · US

Funding

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
fMRI investigations of the functional architecture of the language systemR00HD057522 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI FEDORENKO, EVELINA · 2014 to 2016
$738k
NICHD NIH HHS R00 HD057522NIDCD NIH HHS R01 DC016607NIDCD NIH HHS R01 DC016950
6 · The paper itself

Abstract

To understand language, we must infer structured meanings from real-time auditory or visual signals. Researchers have long focused on word-by-word structure building in working memory as a mechanism that might enable this feat. However, some have argued that language processing does not typically involve rich word-by-word structure building, and/or that apparent working memory effects are underlyingly driven by

Indexed as

domain specificityfMRInaturalisticsentence processingsurprisalworking memory

Identifiers

PMID36002263
PMCPMC9525168
OpenAlexW4293102615

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.