Abstract TP091: White-Matter Hyperintensity Changes Are Associated with Cognitive Decline Over 13 Years

Introduction: White matter hyperintensities (WMH) are a common imaging finding in cerebral small vessel disease and can be associated with cognitive impairment. We investigated whether increases in periventricular WMH (PVWMH) and deep WMH (DWMH) volume would be associated with changes in performance on cognitive testing. Hypothesis: We hypothesized that a greater accumulation of WMH, especially PVWMH, would be associated with lower cognitive scores. Methods: 308 participants from GeneSTAR, family members of patients with early-onset coronary artery disease, underwent MRI and cognitive testing at baseline and again 13 years later. WMH volumes were normalized to intracranial volume, log-transformed, and standardized (z-scores). Linear mixed-effects models used to estimate the timepoint × WMH interaction for cognitive outcomes included: Mini-Mental State Examination (MMSE); Digit Span Forward, Backward, Total; Delayed Word Recall 1, Short, Long; Digit Symbol Substitution Test; Word Fluency; Grooved Pegboard Test (GPT) Dominant Time; and GPT Non-Dominant Hand Time. The models were adjusted for age, sex, race, education, BMI, and systolic blood pressure. Results: In the mixed-effects models, the interaction between timepoint and WMH volume showed that PVWMH demonstrated stronger and more consistent associations with cognitive performance than DWMH. Significant PVWMH interactions were found for Digit Span Backward (β = –0.378, p = 0.041), Digit Span Forward (β = –0.351, p = 0.031), Digit Span Total (β = –0.681, p = 0.016), GPT Dominant Time (β = 16.914, p < 0.001), Digit Symbol Substitution Test: Correct (β = –2.177, p < 0.001), Delayed Word Recall 1 (β = –0.379, p = 0.034), Delayed Word Recall Long (β = –0.314, p = 0.038), MMSE (β = –0.908, p = 0.002), GPT Non-Dominant Time (β = 14.018, p < 0.001), and Word Fluency (β = –2.289, p < 0.001). In comparison, DWMH interactions were generally smaller in magnitude and often non-significant, with significance observed primarily for GPT Dominant Time (β = 13.455, p < 0.001), Digit Symbol Substitution Test: Correct (β = –1.868, p < 0.001), GPT Non-Dominant Time (β = 11.287, p < 0.001), and Word Fluency (β = –1.494, p = 0.002). (Figure 1) Conclusions: Over a 13-year follow-up, increases in PWMH were linked to declines across a wider range of cognitive tests and demonstrated stronger associations than DWMH. These findings suggest that PVWMH may serve as a more sensitive marker of long-term cognitive decline.

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Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.tp091
Primary Topic
Neurological Disease Mechanisms and Treatments
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article
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article

Abstract TP091: White-Matter Hyperintensity Changes Are Associated with Cognitive Decline Over 13 Years

L Knutsson, Richard Leigh, Peter C.M. van Zijl, L. E. Becker et al.
Stroke
Neurological Disease Mechanisms and Treatments
article

Abstract TP091: White-Matter Hyperintensity Changes Are Associated with Cognitive Decline Over 13 Years

L Knutsson, Richard Leigh, Peter C.M. van Zijl, L. E. Becker, Hyeong‐Geol Shin, Jinwei Zhang, Paul Nyquist, Mykola Matsyuk, Dhananjay Vaidya, Lisa Yanek, Shimeng Wang, Keenan Walker, Sarvin Sasannia, Jerry Prince
article en

Abstract

Introduction: White matter hyperintensities (WMH) are a common imaging finding in cerebral small vessel disease and can be associated with cognitive impairment. We investigated whether increases in periventricular WMH (PVWMH) and deep WMH (DWMH) volume would be associated with changes in performance on cognitive testing. Hypothesis: We hypothesized that a greater accumulation of WMH, especially PVWMH, would be associated with lower cognitive scores. Methods: 308 participants from GeneSTAR, family members of patients with early-onset coronary artery disease, underwent MRI and cognitive testing at baseline and again 13 years later. WMH volumes were normalized to intracranial volume, log-transformed, and standardized (z-scores). Linear mixed-effects models used to estimate the timepoint × WMH interaction for cognitive outcomes included: Mini-Mental State Examination (MMSE); Digit Span Forward, Backward, Total; Delayed Word Recall 1, Short, Long; Digit Symbol Substitution Test; Word Fluency; Grooved Pegboard Test (GPT) Dominant Time; and GPT Non-Dominant Hand Time. The models were adjusted for age, sex, race, education, BMI, and systolic blood pressure. Results: In the mixed-effects models, the interaction between timepoint and WMH volume showed that PVWMH demonstrated stronger and more consistent associations with cognitive performance than DWMH. Significant PVWMH interactions were found for Digit Span Backward (β = –0.378, p = 0.041), Digit Span Forward (β = –0.351, p = 0.031), Digit Span Total (β = –0.681, p = 0.016), GPT Dominant Time (β = 16.914, p < 0.001), Digit Symbol Substitution Test: Correct (β = –2.177, p < 0.001), Delayed Word Recall 1 (β = –0.379, p = 0.034), Delayed Word Recall Long (β = –0.314, p = 0.038), MMSE (β = –0.908, p = 0.002), GPT Non-Dominant Time (β = 14.018, p < 0.001), and Word Fluency (β = –2.289, p < 0.001). In comparison, DWMH interactions were generally smaller in magnitude and often non-significant, with significance observed primarily for GPT Dominant Time (β = 13.455, p < 0.001), Digit Symbol Substitution Test: Correct (β = –1.868, p < 0.001), GPT Non-Dominant Time (β = 11.287, p < 0.001), and Word Fluency (β = –1.494, p = 0.002). (Figure 1) Conclusions: Over a 13-year follow-up, increases in PWMH were linked to declines across a wider range of cognitive tests and demonstrated stronger associations than DWMH. These findings suggest that PVWMH may serve as a more sensitive marker of long-term cognitive decline.

StrokeVol. 57(Suppl_1)
Kennedy Krieger Institute (US), Johns Hopkins University (US), Johns Hopkins Medicine (US), National Institute on Aging (US)
Quality Education
Openalex Percentile: Top 79%
Neurological Disease Mechanisms and Treatments
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