Evidence map›Paper›PMID 41993327›Full record

ArticlebioRxiv : the preprint server for biology2026

Decoding concept representations in aphasia after stroke.

Jerry Tang, Carly Millanski, Allison Chen, Lisa D Wauters, Jordyn Anders, Shilpa Shamapant, Stephen M Wilson, Alexander G Huth, Maya L Henry

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

9 authors.

Jerry TangDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.ORCID 0009-0005-7872-3529
Carly MillanskiDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.
Allison ChenDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.
Lisa D WautersDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.
Jordyn AndersDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.
Shilpa ShamapantDepartment of Neurology, The University of Texas at Austin.
Stephen M WilsonSchool of Health and Rehabilitation Sciences, The University of Queensland.
Alexander G HuthDepartment of Neuroscience, University of California, Berkeley.
Maya L HenryDepartment of Speech, Language, and Hearing Sciences, The University of Texas at Austin.

Funding

Neural Correlates of Recovery from Aphasia After StrokeR01DC013270 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Stephen M Wilson, Michael R de Riesthal · 2014 to 2026
$6.3M
CRCNS: Discovering Computational Principles of Language Processing in the BrainR01DC020088 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI PESTILLI, FRANCO, WEHBE, LEILA · 2021 to 2025
$1.9M
Assessing semantic encoding and decoding models in stroke-induced aphasiaF32DC022178 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI Jerry Tang · 2024 to 2026
$225k
NIDCD NIH HHS F32 DC022178NIDCD NIH HHS R01 DC013270NIDCD NIH HHS R01 DC020088
6 · The paper itself

Abstract

Many stroke survivors with aphasia struggle to map their thoughts into words or motor plans. Neuroprostheses that decode concept representations could help these individuals communicate by predicting the words, phrases, or sentences that they are struggling to produce. Here we decoded concept representations measured using functional magnetic resonance imaging (fMRI) from participants with different aphasia profiles. The decoders generated continuous word sequences that could describe the concepts that the participants were hearing about, seeing, or imagining. To forecast how this approach would generalize across the heterogeneity of aphasia profiles, we characterized how stroke affects the anatomical organization and information capacity of conceptual processing. Mapping how concepts are organized across the brain, we found that conceptual tuning during non-linguistic processing was largely consistent between the participants with aphasia and neurologically healthy participants. Comparing information processing between the participants with aphasia and neurologically healthy participants, we found that both groups processed similar amounts of non-linguistic information. Our findings indicate that concept representations can be largely spared in individuals with aphasia and demonstrate how these representations can be decoded to support communication.

Identifiers

PMID41993327
PMCPMC13081921

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.