Evidence map›Paper›PMID 41530491›Full record

ArticlePediatric research2026

Postural control in children with spastic cerebral palsy: the role of brain lesion characteristics.

Nina Jacobs, Simona Fiori, Andrea Guzzetta, Kaat Desloovere, Charlotte Johnson, Ann Hallemans, Els Ortibus, Pieter Meyns

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Article in Pediatric research, 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

8 authors.

Nina JacobsRehabilitation Research Centre (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium. nina.jacobs@uhasselt.be.
Simona FioriStella Maris Infant Lab for Early Intervention (SMILE), Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Andrea GuzzettaStella Maris Infant Lab for Early Intervention (SMILE), Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Kaat DesloovereDepartment of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Charlotte JohnsonRehabilitation Research Centre (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium.
Ann HallemansResearch Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium.
Els OrtibusDepartment of Development and Regeneration, Locomotor and Neurological Disorders group, KU Leuven, Leuven, Belgium.
Pieter MeynsRehabilitation Research Centre (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostural control is often impaired in children with spastic cerebral palsy (sCP), with inter-individual differences not fully explained by CP topography or functional level. While brain lesion characteristics are known determinants of upper limb function, their predictive value for postural control remains underexplored.

methodsIn this cross-sectional study, 43 children with uni- or bilateral sCP (GMFCS I-III), aged 5-12 years, underwent standardized postural control assessment using the Kids-BESTest-2 (in percent scores). Lesion type was classified using the MRI classification scale (MRICS), and lesion extent and location were retrospectively scored on clinical MRI using the semi-quantitative MRI (sqMRI) scale. Associations between lesion characteristics and postural control domains were analyzed using stepwise regression models.

resultsChildren with predominant white or grey matter lesions performed similarly across all postural control domains. Greater lesion extent was significantly associated with poorer postural control in all domains (β = -0.8 to -1.8% per sqMRI point increase, p ≤ 0.02) except 'Sensory Orientation'. Lesions in the frontal lobe, anterior corpus callosum, PLIC, thalamus, and brainstem were the strongest predictors of domain-specific deficits, explaining up to 53% of variance.

conclusionLesion extent and location, rather than type, determine the severity and domain-specificity of postural control deficits in sCP. Lesion-specific MRI scoring may support patient-tailored rehabilitation and prognosis. IMPACT: This study demonstrates that semi-quantitative MRI-based scoring of brain lesion extent and location, rather than lesion type, is key to understanding domain-specific postural control deficits in children with spastic cerebral palsy. It provides novel evidence that damage to specific brain regions, including the frontal lobe, anterior corpus callosum, PLIC, thalamus, and brainstem, most strongly predicts impairments in distinct postural control domains. Lesion-specific MRI profiling has clinical value for identifying postural control deficits and guiding individualized rehabilitation in children with spastic cerebral palsy. Further longitudinal and multimodal research is needed to validate these findings and optimize intervention strategies.

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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.