Table · dataset · 2026
Shared variance predicts language outcomes (Kuptsova & LaCroix, 2026)
Listed in figshare and Loughborough Research Repository — shown once because both records carry DOI 10.23641/asha.33915754.v1
<p dir="ltr"><b>Purpose: </b>Aphasia, a common consequence of stroke, often co-occurs with cognitive impairments, yet clinical assessment is limited by tools that are lengthy, linguistically demanding, and sometimes redundant.
Description
This preliminary study examined shared variance across widely used cognitive tests and explored how the resulting principal components related to aphasia severity and sentence comprehension efficiency.
We also tested whether single tasks, those with the strongest component loadings, could predict language outcomes as effectively as the full component scores.</p><p dir="ltr"><b>Method: </b>Seventeen adults with chronic aphasia and 21 matched controls completed the Test of Everyday Attention, the Cognitive Linguistic Quick Test-Plus, and the Visual and Auditory Duration Attention Network Tests. Principal component analysis (PCA) was used to identify shared variance across cognitive tasks, followed by regression analyses relating components and single-task predictors to language outcomes.</p><p dir="ltr"><b>Results: </b>PCA revealed six components, with subtests from the same battery generally clustering together, suggesting redundancy.
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Regression analyses showed that visuospatial processing speed and auditory orienting attention predicted less severe aphasia and more efficient sentence comprehension, whereas greater visual-sustained attention was linked to more severe aphasia. Single-task loadings predicted sentence comprehension but not aphasia severity.</p><p dir="ltr"><b>Conclusion: </b>These preliminary findings highlight the potential to streamline cognitive assessments to reduce redundancy, improve diagnostic precision, and better support individualized rehabilitation.</p><p dir="ltr"><b>Supplemental Material S1.</b> Demographic data.</p><p dir="ltr"><b>Supplemental Material S2.</b> Multiple regression results for single task (attention) predicting canonical sentence comprehension.</p><p dir="ltr"><b>Supplemental Material S3.</b> Multiple regression results for single task (attention) predicting noncanonical sentence comprehension.</p><p dir="ltr"><b>Supplemental Material S4.</b> Multiple regression results for single task (orienting auditory duration) predicting canonical sentence comprehension.</p><p dir="ltr">Kuptsova, S. V., & LaCroix, A. N. (2026).
Shared variance across cognitive assessments predicts language outcomes in aphasia: A preliminary study. <i>Journal of Speech, Language, and Hearing Research.</i> <a href="doi.org/10.1044/2026_JSLHR-25-00815" target="_blank">doi.org/10.1044/2026_JSLHR-25-00815</a></p>
Links
Where it is published
- DOI doi.org/10.23641/asha.33915754.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Cognition · Cognition · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Humanities · Humanities · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Neurology and neuromuscular diseases · Neurology and neuromuscular diseases · Ocean & Atmospheric Science · Psychology & Behavioral Science · Psychology & Behavioral Science · Social Science · Social Science · Speech pathology · Speech pathology
- Inferred from text
- Audio 65%
Provenance · 2 source records, 36 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33915754 | 9 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/33915754 | 9 d ago | JSON v1 |
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| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
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| concepts[field].anzsrc:field:320905 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Neurology and neuromuscular diseases'] |
| concepts[field].anzsrc:field:420110 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Speech pathology'] |
| concepts[field].anzsrc:field:420110 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Speech pathology'] |
| concepts[field].anzsrc:field:520401 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cognition'] |
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| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
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