Structural disconnections caused by white matter hyperintensities in post-stroke spatial neglect

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Abstract

White matter hyperintensities (WMH), a common feature of cerebral small vessel disease, affect a wide range of cognitive dysfunctions, including spatial neglect. The latter is a disorder of spatial attention and exploration typically after right hemisphere brain damage. To explore the impact of WMH on neglect-related structural disconnections, the present study investigated the indirectly quantified structural disconnectome induced by either stroke lesion alone, WMH alone, or their combination. Further, we compared different measures of structural disconnections – voxel-wise, pairwise, tract-wise, and parcel-wise – to identify neural correlates and predict acute neglect severity. We observed that WMH-derived disconnections alone were not associated to neglect behavior. However, when combined with disconnections derived from individual stroke lesions, pre-stroke WMH contributed to post-stroke neglect severity by affecting right frontal and subcortical substrates, like the middle frontal gyrus, basal ganglia, thalamus, and the fronto-pontine tract. Predictive modeling demonstrated that voxel-wise disconnection data outperformed other measures of structural disconnection, explaining 42% of the total variance. Compared to using stroke lesion anatomy, prediction performance can be improved by either estimating stroke-based structural disconnections or delineating the combined anatomy of stroke lesion and WMH. We conclude that pre-stroke alterations in the white matter microstructure due to WMH contribute to post-stroke deficits in spatial attention, likely by impairing the integrity of human attention networks.
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Abstract White matter hyperintensities (WMH), a common feature of cerebral small vessel disease, affect a wide range of cognitive dysfunctions, including spatial neglect. The latter is a disorder of spatial attention and exploration typically after right hemisphere brain damage. To explore the impact of WMH on neglect-related structural disconnections, the present study investigated the indirectly quantified structural disconnectome induced by either stroke lesion alone, WMH alone, or their combination. Further, we compared different measures of structural disconnections – voxel-wise, pairwise, tract-wise, and parcel-wise – to identify neural correlates and predict acute neglect severity. We observed that WMH-derived disconnections alone were not associated to neglect behavior. However, when combined with disconnections derived from individual stroke lesions, pre-stroke WMH contributed to post-stroke neglect severity by affecting right frontal and subcortical substrates, like the middle frontal gyrus, basal ganglia, thalamus, and the fronto-pontine tract. Predictive modeling demonstrated that voxel-wise disconnection data outperformed other measures of structural disconnection, explaining 42% of the total variance. Compared to using stroke lesion anatomy, prediction performance can be improved by either estimating stroke-based structural disconnections or delineating the combined anatomy of stroke lesion and WMH. We conclude that pre-stroke alterations in the white matter microstructure due to WMH contribute to post-stroke deficits in spatial attention, likely by impairing the integrity of human attention networks. Competing Interest Statement The authors have declared no competing interest. Abbreviations - CoC - Center of Cancellation - GLM - general linear model - FWE - family-wise error - IFG - inferior frontal gyrus - IFJ - inferior frontal junction - IPL - inferior parietal lobule - MFG - middle frontal gyrus - MNI - Montreal Neurological Institute - MTG - middle temporal gyrus - STG - superior temporal gyrus - WMH - white matter hyperintensities

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last seen: 2026-05-20T01:45:00.602351+00:00