Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | NeuroImage: Clinical |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158222003308 |
| _version_ | 1797984108641517568 |
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| author | Lisa Röhrig Christoph Sperber Leonardo Bonilha Christopher Rorden Hans-Otto Karnath |
| author_facet | Lisa Röhrig Christoph Sperber Leonardo Bonilha Christopher Rorden Hans-Otto Karnath |
| author_sort | Lisa Röhrig |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T06:56:20Z |
| format | Article |
| id | doaj.art-08b8eddcc78345cb986a4779720d8c15 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-04-11T06:56:20Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-08b8eddcc78345cb986a4779720d8c152022-12-22T04:38:59ZengElsevierNeuroImage: Clinical2213-15822022-01-0136103265Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute strokeLisa Röhrig0Christoph Sperber1Leonardo Bonilha2Christopher Rorden3Hans-Otto Karnath4Division of Neuropsychology, Center of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen 72076, GermanyDivision of Neuropsychology, Center of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen 72076, GermanyDepartment of Neurology, Emory University, Atlanta, GA 30322, USADepartment of Psychology, University of South Carolina, Columbia, SC 29208, USADivision of Neuropsychology, Center of Neurology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen 72076, Germany; Department of Psychology, University of South Carolina, Columbia, SC 29208, USA; Corresponding author at: Center of Neurology, University of Tübingen, Hoppe-Seyler-Str. 3, Tübingen 72076, Germany.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.http://www.sciencedirect.com/science/article/pii/S2213158222003308Spatial attentionLeukoaraiosisWhite matter lesionsImaging biomarkerMachine learningSupport vector regression |
| spellingShingle | Lisa Röhrig Christoph Sperber Leonardo Bonilha Christopher Rorden Hans-Otto Karnath Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke NeuroImage: Clinical Spatial attention Leukoaraiosis White matter lesions Imaging biomarker Machine learning Support vector regression |
| title | Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke |
| title_full | Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke |
| title_fullStr | Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke |
| title_full_unstemmed | Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke |
| title_short | Right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke |
| title_sort | right hemispheric white matter hyperintensities improve the prediction of spatial neglect severity in acute stroke |
| topic | Spatial attention Leukoaraiosis White matter lesions Imaging biomarker Machine learning Support vector regression |
| url | http://www.sciencedirect.com/science/article/pii/S2213158222003308 |
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