Evidence map›Paper›PMID 42247728›Full record

ArticleBrain & development2026

Cognitive impairment patterns and associated clinical and imaging characteristics in young patients with Sturge-Weber syndrome.

Halah Z Keramane, Michael E Behen, Aimee F Luat, Csaba Juhász

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Article in Brain & development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Halah Z KeramaneWayne State University School of Medicine, Detroit, MI, USA; Translational Imaging Laboratory, University Health Center, Detroit, MI, USA.
Michael E BehenTranslational Imaging Laboratory, University Health Center, Detroit, MI, USA; Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA; Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA.
Aimee F LuatDepartment of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA; Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA; Department of Pediatrics, Central Michigan University, Mount Pleasant, MI, USA; Children's Hospital of Michigan, Detroit, MI, USA.
Csaba JuhászTranslational Imaging Laboratory, University Health Center, Detroit, MI, USA; Department of Pediatrics, Wayne State University School of Medicine, Detroit, MI, USA; Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA; Children's Hospital of Michigan, Detroit, MI, USA. Electronic address: csaba.juhasz@wayne.edu.

Funding

Longitudinal Neuroimaging in Sturge-Weber SyndromeR01NS041922 · NINDS · WAYNE STATE UNIVERSITY · PI JUHASZ, CSABA · 2003 to 2024
$6.2M
NINDS NIH HHS R01 NS041922
6 · The paper itself

Abstract

backgroundMost patients with Sturge-Weber syndrome (SWS) have unilateral brain involvement associated with a wide range of neurocognitive outcomes.

aimsTo evaluate cognitive deficit patterns in young patients with unilateral SWS and identify clinical and imaging variables associated with the various cognitive deficit patterns.

methodsForty-six young patients with SWS were stratified by the side of brain involvement and assigned to four cognitive groups, based on formal neuropsychology evaluation: 1-no deficit, 2-traditional deficit (verbal deficit in left, non-verbal in right SWS), 3-reorganized with crowding (e.g., only non-verbal deficit in left-hemispheric cases), and 4-global (verbal and non-verbal) deficit. Age, seizure variables, motor functions, and the extent of brain magnetic resonance imaging abnormalities were compared among the cognitive groups.

resultsThe reorganized/crowding pattern was seen only in patients with left SWS (6/20, 30%), most of whom were young with extensive abnormalities. Traditional cognitive deficit was seen mostly in right SWS (7/26, 27%). Global deficit was equally common (35%) in left- and right SWS and was associated with extensive hemispheric abnormalities, early seizure onset, and severe motor deficits. In multivariate analysis, extensive calcifications and severe motor deficits were independently associated with global cognitive deficit.

conclusionsEarly, extensive left hemispheric abnormalities can be associated with preserved verbal but impaired non-verbal functions consistent with right-hemispheric reorganization and crowding. However, more than one-third of both left and right-hemispheric patients may develop a global cognitive impairment. This severe cognitive outcome is associated with extensive hemispheric calcification and severe motor deficit.

Indexed as

BrainCognitive DysfunctionSturge-Weber SyndromeAdolescentChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleNeuropsychological TestsSeizuresCalcificationCognitive functionsEpilepsyMagnetic resonance imagingMotor functionsSturge-Weber syndrome

Identifiers

PMID42247728
PMCPMC13264812

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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.