Evidence map›Paper›PMID 42890480›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2026

Evidence for hierarchical representations of written and spoken words from an open-science human neuroimaging dataset.

Suneel Banerjee, Kimberly Jin, Plamen Nikolov, Philip Cho, Vishnu R Pendri, Lillian Chang, Srikanth R Damera, Maximilian Riesenhuber

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Suneel BanerjeeDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.ORCID https://orcid.org/0000-0001-7695-8002
Kimberly JinDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.ORCID https://orcid.org/0009-0007-3970-4215
Plamen NikolovDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.ORCID https://orcid.org/0000-0001-5802-509X
Philip ChoDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.
Vishnu R PendriDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.
Lillian ChangDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.
Srikanth R DameraDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.
Maximilian RiesenhuberDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.ORCID https://orcid.org/0000-0002-5744-0408

Funding

Georgetown University Brain and Language Training ProgramT32DC019481 · NIDCD · GEORGETOWN UNIVERSITY · PI Peter Ethan Turkeltaub · 2022 to 2026
$2.1M
NIDCD NIH HHS T32 DC019481
6 · The paper itself

Abstract

Reading and speech recognition rely on multi-level processing that builds from basic visual or sound features to complete word representations, yet details of these processing hierarchies (in particular those for spoken words) are still poorly understood. We re-analyzed the functional magnetic resonance imaging (fMRI) data provided in the Mother Of all Unification Studies (MOUS) open-science dataset by using parametric regressions of word frequency and sublexical unit (bigram or syllable) frequency during reading and speech listening tasks in order to elucidate lexical and sublexical processing stages in the visual and auditory modalities. We first validated our approach in the written word domain, where the technique identified significant correlations for word frequency in the left mid-fusiform cortex (at the location of the Visual Word Form Area) and a left occipital region tracking bigram frequency, compatible with prior reports. During listening, activity in a left mid-superior temporal region consistent with the recently described Auditory Word Form Area (AWFA) showed a lexical frequency effect, while a more posterior region of the superior temporal gyrus was sensitive to syllable frequency. Activation in the left inferior frontal gyrus correlated with both written and spoken word frequencies. These findings suggest analogous posterior-to-anterior hierarchical organizations in the anteroventral visual and auditory streams, with modality-specific posterior sublexical and more anterior lexical representations that converge in higher-order language areas.

Indexed as

BrainReadingSpeech PerceptionAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleTemporal LobeYoung AdultAWFAMOUSopen sciencereadingspeech recognitionword frequency

Identifiers

PMID42890480
PMCPMC13673309

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.