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February 2, 2026Journal of Stroke1 citationsOpen Access

Multimodal Magnetic Resonance Imaging Signatures of White Matter Hyperintensities: Mechanistic Insights Into Pathobiological Heterogeneity

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JCJinyong ChungHOHyerin OhDGDong-Seok Gwak

Key Points

  • This review aims to elucidate the mechanistic heterogeneity of white matter hyperintensities (WMH) through a multimodal MRI framework.
  • Integrated multimodal MRI findings across different axes related to WMH.
  • Examined the association of WMH locations with specific pathophysiological processes.
  • Analysis of longitudinal data to identify imaging biomarkers predictive of WMH progression.
  • Periventricular WMHs link to blood–brain barrier dysfunction and fluid accumulation.
  • Deep WMHs correlate with impaired glymphatic clearance and demyelination.
  • Abnormalities in normal-appearing white matter (NAWM) precede the appearance of new WMHs.
  • The review advocates for improved definitions and classifications in imaging to enhance clinical applicability.

Abstract

White matter hyperintensity (WMH), a common magnetic resonance imaging (MRI) marker ofcerebral small-vessel disease, is associated with chronic cerebral ischemia; however, themechanistic heterogeneity of WMH remains poorly defined. This review integrates multimodalMRI findings into a mechanism-oriented framework spanning four axes: WMH versus normalappearingwhite matter (NAWM), periventricular versus deep location, lesion core versus perilesionalpenumbra, and longitudinal evolution. Periventricular WMHs are associated with blood–brainbarrier dysfunction, interstitial fluid accumulation, and venous remodeling, whereas deep WMHsare more closely associated with impaired glymphatic/perivascular clearance and enlargedperivascular spaces, and demyelination/macromolecular compromise varying by context. Theperilesional penumbra emerges as a critical transition zone, showing distance-dependent gradientsof microstructural rarefaction, extracellular fluid expansion, perfusion deficits, and reducedvascular reactivity that extend beyond fluid-attenuated inversion recovery-defined borders andrelate to subsequent lesion growth. Longitudinal data further indicate that abnormalities indiffusion, perfusion, and vascular reserve within NAWM precede new WMHs, nominating imagingbiomarkers of progression risk. This framework supports risk stratification beyond total lesionburden, links therapeutic opportunities to mechanism (e.g., blood–brain barrier integrity, glymphaticclearance, and cerebrovascular reactivity), and motivates biologically interpretable readouts forpatient selection and treatment monitoring. Looking forward, standardized spatial classification(including fine-grained, distance-informed parcellations), harmonized penumbra definitions, andintegration of multimodal MRI with pathology will be essential to validate mechanism-specificsubtypes and translate them into scalable, clinically usable endpoints.

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Cite This Study

Chung et al. (2026) studied this question.

synapsesocial.com/papers/6980fc37c1c9540dea80e0ddhttps://doi.org/10.5853/jos.2025.04168
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