ArticleNeuroImage. Clinical2022
Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke.
Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Risk prediction models for post-stroke cognitive impairment: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled it
- Depression drives perceived quality of life following minor stroke.Journal of patient-reported outcomes · 2025Article
- Racial and ethnic differences in white matter hypointensities: The role of vascular risk factors.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Predicting individual long-term prognosis of spatial neglect based on acute stroke patient data.Brain communications · 2025Article
- Connectomic stroke lesion measures provide no benefit over basic spatial lesion features in the prognosis of global stroke outcome measures.Brain communications · 2025Article
- The challenge of long-term stroke outcome prediction and how statistical correlates do not imply predictive value.Brain communications · 2025Article
- Structural Disconnections Caused by White Matter Hyperintensities in Post-Stroke Spatial Neglect.Human brain mapping · 2024Article
- A promising frontier: targeting NETs for stroke treatment breakthroughs.Cell communication and signaling : CCS · 2024Review
- The volume and the distribution of premorbid white matter hyperintensities: Impact on post-stroke aphasia.Human brain mapping · 2024Article
- Virtual reality gameplay classification illustrates the multidimensionality of visuospatial neglect.Brain communications · 2024Article
- A typology of cerebral small vessel disease based on imaging markers.Journal of neurology · 2023Article
- Association between Citrullinated Histone H3 and White Matter Lesions Burden in Patients with Ischemic Stroke.Brain sciences · 2023Article
- Machine learning in the prediction of post-stroke cognitive impairment: a systematic review and meta-analysis.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
White matter hyperintensities (WMH) are frequently observed in brain scans of elderly people. They are associated with an increased risk of stroke, cognitive decline, and dementia. However, it is unknown yet if measures of WMH provide information that improve the understanding of poststroke outcome compared to only state-of-the-art stereotaxic structural lesion data. We implemented high-dimensional machine learning models, based on support vector regression, to predict the severity of spatial neglect in 103 acute right hemispheric stroke patients. We found that (1) the additional information of right hemispheric or bilateral voxel-based topographic WMH extent indeed yielded a significant improvement in predicting acute neglect severity (compared to the voxel-based stroke lesion map alone). (2) Periventricular WMH appeared more relevant for prediction than deep subcortical WMH. (3) Among different measures of WMH, voxel-based maps as measures of topographic extent allowed more accurate predictions compared to the use of traditional ordinally assessed visual rating scales (Fazekas-scale, Cardiovascular Health Study-scale). In summary, topographic WMH appear to be a valuable clinical imaging biomarker for predicting the severity of cognitive deficits and bears great potential for rehabilitation guidance of acute stroke patients.
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Registered trials
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