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Structural Disconnections Caused by White Matter Hyperintensities in Post-Stroke Spatial Neglect.
Lisa Röhrig1, Hans-Otto Karnath1
1Center of Neurology, Division of Neuropsychology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Human Brain Mapping
|November 25, 2024
Summary
Pre-stroke white matter hyperintensities (WMH) worsen spatial neglect after stroke by disrupting brain networks. WMH combined with stroke lesions impact right frontal and subcortical areas, affecting attention.
Area of Science:
- Neuroscience
- Neurology
- Neuroimaging
Background:
- White matter hyperintensities (WMH) are common in cerebral small vessel disease and linked to cognitive deficits, including spatial neglect.
- Spatial neglect, a disorder of spatial attention, often follows right hemisphere brain damage.
Purpose of the Study:
- To investigate how WMH impact structural disconnections related to spatial neglect.
- To compare different measures of structural disconnection for predicting neglect severity.
Main Methods:
- Indirect quantification of the structural disconnectome induced by stroke lesions, WMH, or their combination.
- Comparison of voxel-wise, pairwise, tract-wise, and parcel-wise disconnection measures.
- Predictive modeling to assess the relationship between disconnections and acute neglect severity.
Main Results:
- WMH-derived disconnections alone did not correlate with neglect.
- Combined WMH and stroke lesion disconnections significantly contributed to neglect severity, affecting right frontal and subcortical regions (e.g., middle frontal gyrus, basal ganglia, thalamus, fronto-pontine tract).
- Voxel-wise disconnection data, particularly from stroke-based disconnections, best predicted neglect severity, explaining 42% of the variance.
Conclusions:
- Pre-stroke WMH alter white matter microstructure, contributing to post-stroke spatial attention deficits.
- These microstructural changes likely impair the integrity of brain attention networks, exacerbating neglect.
- Voxel-wise analysis of structural disconnections is a valuable tool for understanding and predicting post-stroke neglect.

