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Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection
Published on: March 10, 2021
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[Interindividual variability in patients with visuospatial neglect: a retrospective study].
C Aparicio-López1,2,3, A García-Rudolph1,2,3, P Rodríguez-Rajo1,2,3
1Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, España.
Revista De Neurologia
|June 13, 2024
Summary
Stroke patients with visuospatial neglect (VSN) show distinct impairment levels. Computerized cognitive training did not eliminate these differences, suggesting VSN evolution is linked to initial severity.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Rehabilitation Medicine
Context:
- Visuospatial neglect (VSN) is a common post-stroke deficit.
- Clinical assessment of VSN severity lacks standardized criteria.
- Understanding VSN heterogeneity is crucial for effective neurorehabilitation.
Purpose:
- Classify stroke patients with VSN based on impairment severity.
- Evaluate the efficacy of computerized cognitive training on VSN.
- Investigate the relationship between initial VSN severity and treatment response.
Summary:
- 34 stroke patients with VSN were classified into mild, moderate, and severe groups using cluster analysis.
- All patients received 15 one-hour sessions of computerized cognitive training.
- Significant differences in visuospatial attention were observed across all groups, pre- and post-training.
Impact:
- VSN presents with varying degrees of impairment that persist post-intervention.
- Computerized cognitive training may not fully remediate VSN, especially in more severe cases.
- Findings suggest a homogeneous pattern in VSN progression tied to initial impairment levels, informing neurorehabilitation strategies.
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