Evidence map›Paper›PMID 36889316›Full record

ArticleCurrent biology : CB2023

Engaging in word recognition elicits highly specific modulations in visual cortex.

Alex L White, Kendrick N Kay, Kenny A Tang, Jason D Yeatman

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Simultaneous Cortical Responses to Multiple Written Words.Journal of cognitive neuroscience · 2026
    Article
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  5. Simultaneous cortical responses to multiple written words.bioRxiv : the preprint server for biology · 2026
    Article
  6. The Emergence of Topography and Hemispheric Lateralization in High-Level Vision.Quarterly journal of experimental psychology (2006) · 2026
    Review
  7. Article
  8. Article
  9. Article
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  11. Neural Distinction between Visual Word and Object Recognition: An fMRI Study Using Pictographs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Article
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  15. Article
  16. Article
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  19. Reading reshapes stimulus selectivity in the visual word form area.bioRxiv : the preprint server for biology · 2024
    Article
  20. Review
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

4 authors at 3 institutions in 1 country.

Alex L WhiteDepartment of Neuroscience & Behavior, Barnard College, Columbia University, 76 Claremont Ave, New York, NY 10027, USA. Electronic address: alwhite@barnard.edu.
Kendrick N KayCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, 2021 6th Street SE, Minneapolis, MN 55455, USA.
Kenny A TangGraduate School of Education and Department of Psychology, Stanford University, Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, 520 Galvez Mall, Stanford, CA 94305, USA.
Jason D YeatmanGraduate School of Education and Department of Psychology, Stanford University, Division of Developmental-Behavioral Pediatrics, Stanford University School of Medicine, 520 Galvez Mall, Stanford, CA 94305, USA.
Stanford University · USColumbia University · USUniversity of Minnesota · US

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI GREGOR ADRIANY · 2019 to 2026
$11.7M
WAVELENGTH DISCRIMINATION AT MODULATION THRESHOLDR01EY003164 · NEI · STANFORD UNIVERSITY · PI WANDELL, BRIAN A · 1985 to 2011
$3.9M
Neural mechanisms of successful intervention in children with dyslexiaR01HD095861 · NICHD · STANFORD UNIVERSITY · PI YEATMAN, JASON D · 2019 to 2024
$3.1M
Capacity limits in the neural circuitry of visual word recognitionR00EY029366 · NEI · BARNARD COLLEGE · PI WHITE, ALEXANDER LINDLEY · 2021 to 2023
$746k
Capacity limits in the neural circuitry of visual word recognitionK99EY029366 · NEI · UNIVERSITY OF WASHINGTON · PI WHITE, ALEXANDER LINDLEY · 2018 to 2019
$233k
NEI NIH HHS K99 EY029366NEI NIH HHS R00 EY029366NEI NIH HHS R01 EY003164NIBIB NIH HHS P41 EB027061NICHD NIH HHS R01 HD095861
6 · The paper itself

Abstract

A person's cognitive state determines how their brain responds to visual stimuli. The most common such effect is a response enhancement when stimuli are task relevant and attended rather than ignored. In this fMRI study, we report a surprising twist on such attention effects in the visual word form area (VWFA), a region that plays a key role in reading. We presented participants with strings of letters and visually similar shapes, which were either relevant for a specific task (lexical decision or gap localization) or ignored (during a fixation dot color task). In the VWFA, the enhancement of responses to attended stimuli occurred only for letter strings, whereas non-letter shapes evoked smaller responses when attended than when ignored. The enhancement of VWFA activity was accompanied by strengthened functional connectivity with higher-level language regions. These task-dependent modulations of response magnitude and functional connectivity were specific to the VWFA and absent in the rest of visual cortex. We suggest that language regions send targeted excitatory feedback into the VWFA only when the observer is trying to read. This feedback enables the discrimination of familiar and nonsense words and is distinct from generic effects of visual attention.

Indexed as

Visual CortexVisual PerceptionBrainHumansLanguageReadingfMRIfunctional connectivityreadingtask effectsventral temporal cortexvisual attentionvisual word form areavisual word recognition

Identifiers

PMID36889316
PMCPMC10089978
OpenAlexW4323354660

What OpenQuestion holds

Textmetadata
LicenceTDM
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.