The relationship between White Matter Hyperintensities volume and cognition in normal ageing women
Rowa Aljondi1, Patricia Desmond1,2, Chris Steward1,2, and Cassandra Szoeke3

1The University of Melbourne, Melbourne, Australia, 2Department of Radiology, Royal Melbourne Hospital, Melbourne, Australia, 3Department of Medicine, The University of Melbourne, Melbourne, Australia

Synopsis

White Matter Hyperintesities (WMH) lesions on brain magnetic resonance imaging (MRI) are common findings in elderly people and contribute to cognitive impairments. Here we examine volumetric MRI measures of WMH volume in relation to neuropsychological measures of episodic memory, executive function, semantic memory and visuospatial abilities in 116 elderly women, their mean age 69 years. Linear regression analysis showed that greater WMH volume was correlated with lower performance on tests involving measures of executive function and visuospatial abilities. These results help elucidate the pathological process leading to cognitive decline in ageing.

Background and purpose

White Matter Hyperintensity (WMH) lesions are commonly seen on magnetic resonance images of elderly people, and used as marker for cerebrovascular diseases [1]. Their significance has been extensively investigated in studies of ageing and dementia [2, 3]. However, there is few cross-sectional MRI studies have examined WMH volume in relation to cognitive function in normal elderly subjects [4]. In the present investigation, we examine the influence of WMH volume on cognitive performance in normal ageing women.

Methods

We used data from the Women’s Healthy Ageing Project (WHAP), a longitudinal study of Australian women. In 2012, 116 women underwent 3T brain MRI and cognitive assessments, their mean age was 69.1 ± 2.6 years. We implemented a manual technique using ITK-snap to measure total WMH volume from FLAIR images, visually checked by qualified neuroradiologist. To account for differences in head size, the total WMH volume was normalized by intracranial volume (ICV). Given the skewed distribution of the normalized total WMH volume, the values were logarithmically transformed. Cognitive assessments included measures of four different cognitive domains (verbal episodic memory, executive function, semantic memory and visuospatial ability). Linear regressions analysis was used to examine the relationship of logarithmically-transformed total WMH volume with each cognitive domains, adjusted for age, education, apolipoprotein E-E4 status and Framingham cardiovascular risk scores.

Results

Age is significantly associated with cognitive performance on a time-dependent tasks specifically involving assessment of executive function and working memory (p < 0.05). After adjusting for age, education, APOE e4 status and Framingham cardiovascular risk scores, increased total WMH volume was associated with lower performance in executive function (p = 0.003) and visuospatial abilities (p = 0.01), but not with verbal episodic memory, or semantic memory (all p > 0.05) Table 1.

Conclusion

In cognitively normal women, larger WMH volumes influence cognitive performance on tasks involving executive function and visuospatial abilities. This provides further evidence to support the role for small vessels-cerebrovascular pathology in cognitive impairments among elderly subjects. As vascular risk factors for the development of WMH are modifiable, these findings suggest intervention strategies to delay or prevent progression of WMH; this could be useful in preventing cognitive decline.

Acknowledgements

Funding for the WHAP has been provided by the National Health and Medical Research Council (NHMRC Grants 547500, 1032350 & 1062133), Ramaciotti Foundation. This study is supported by Brain Foundation, the Alzheimer’s Association (NIA320312), Australian Menopausal Society, Bayer Healthcare, Shepherd Foundation, Scobie and Claire McKinnon Foundation, Collier Trust Fund, J.O. & J.R. Wicking Trust, Mason Foundation and the Alzheimer’s Association of Australia.

References

1. Kim, K.W., J.R. MacFall, and M.E. Payne, Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biological psychiatry, 2008. 64(4): p. 273-280.

2. Brickman, A.M., et al., Regional white matter hyperintensity volume, not hippocampal atrophy, predicts incident Alzheimer disease in the community. Archives of neurology, 2012. 69(12): p. 1621-1627.

3. Au, R., et al., Association of white matter hyperintensity volume with decreased cognitive functioning: the Framingham Heart Study. Archives of neurology, 2006. 63(2): p. 246-250.

4. Arvanitakis, Z., et al., Association of white matter hyperintensities and gray matter volume with cognition in older individuals without cognitive impairment. Brain Structure and Function, 2015: p. 1-12.

Figures

Table 1: Relationship of total WMH volume to four cognitive domains



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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