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White matter hyperintensities and imaging patterns of brain ageing in the general population

(2016) BRAIN. 139(4). p.1164-1179
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Abstract
White matter hyperintensities are associated with increased risk of dementia and cognitive decline. The current study investigates the relationship between white matter hyperintensities burden and patterns of brain atrophy associated with brain ageing and Alzheimer's disease in a large populatison-based sample (n = 2367) encompassing a wide age range (20-90 years), from the Study of Health in Pomerania. We quantified white matter hyperintensities using automated segmentation and summarized atrophy patterns using machine learning methods resulting in two indices: the SPARE-BA index (capturing age-related brain atrophy), and the SPARE-AD index (previously developed to capture patterns of atrophy found in patients with Alzheimer's disease). A characteristic pattern of age-related accumulation of white matter hyperintensities in both periventricular and deep white matter areas was found. Individuals with high white matter hyperintensities burden showed significantly (P < 0.0001) lower SPARE-BA and higher SPARE-AD values compared to those with low white matter hyperintensities burden, indicating that the former had more patterns of atrophy in brain regions typically affected by ageing and Alzheimer's disease dementia. To investigate a possibly causal role of white matter hyperintensities, structural equation modelling was used to quantify the effect of Framingham cardiovascular disease risk score and white matter hyperintensities burden on SPARE-BA, revealing a statistically significant (P < 0.0001) causal relationship between them. Structural equation modelling showed that the age effect on SPARE-BA was mediated by white matter hyperintensities and cardiovascular risk score each explaining 10.4% and 21.6% of the variance, respectively. The direct age effect explained 70.2% of the SPARE-BA variance. Only white matter hyperintensities significantly mediated the age effect on SPARE-AD explaining 32.8% of the variance. The direct age effect explained 66.0% of the SPARE-AD variance. Multivariable regression showed significant relationship between white matter hyperintensities volume and hypertension (P = 0.001), diabetes mellitus (P = 0.023), smoking (P = 0.002) and education level (P = 0.003). The only significant association with cognitive tests was with the immediate recall of the California verbal and learning memory test. No significant association was present with the APOE genotype. These results support the hypothesis that white matter hyperintensities contribute to patterns of brain atrophy found in beyond-normal brain ageing in the general population. White matter hyperintensities also contribute to brain atrophy patterns in regions related to Alzheimer's disease dementia, in agreement with their known additive role to the likelihood of dementia. Preventive strategies reducing the odds to develop cardiovascular disease and white matter hyperintensities could decrease the incidence or delay the onset of dementia.
Keywords
MILD COGNITIVE IMPAIRMENT, VOXEL-BASED MORPHOMETRY, VASCULAR, RISK-FACTORS, SMALL VESSEL DISEASE, ALZHEIMERS-DISEASE, OLDER-ADULTS, CEREBROVASCULAR-DISEASE, FLUID INTELLIGENCE, SPATIAL-PATTERNS, ELDERLY-PEOPLE, white matter hyperintensities, Alzheimer's disease, brain ageing, cardiovascular disease, mild cognitive impairment

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Chicago
Habes, Mohamad, Guray Erus, Jon B Toledo, Tianhao Zhang, Nick Bryan, Lenore J Launer, Yves Rosseel, et al. 2016. “White Matter Hyperintensities and Imaging Patterns of Brain Ageing in the General Population.” Brain 139 (4): 1164–1179.
APA
Habes, M., Erus, G., Toledo, J. B., Zhang, T., Bryan, N., Launer, L. J., Rosseel, Y., et al. (2016). White matter hyperintensities and imaging patterns of brain ageing in the general population. BRAIN, 139(4), 1164–1179.
Vancouver
1.
Habes M, Erus G, Toledo JB, Zhang T, Bryan N, Launer LJ, et al. White matter hyperintensities and imaging patterns of brain ageing in the general population. BRAIN. Oxford: Oxford Univ Press; 2016;139(4):1164–79.
MLA
Habes, Mohamad, Guray Erus, Jon B Toledo, et al. “White Matter Hyperintensities and Imaging Patterns of Brain Ageing in the General Population.” BRAIN 139.4 (2016): 1164–1179. Print.
@article{8507850,
  abstract     = {White matter hyperintensities are associated with increased risk of dementia and cognitive decline. The current study investigates the relationship between white matter hyperintensities burden and patterns of brain atrophy associated with brain ageing and Alzheimer's disease in a large populatison-based sample (n = 2367) encompassing a wide age range (20-90 years), from the Study of Health in Pomerania. We quantified white matter hyperintensities using automated segmentation and summarized atrophy patterns using machine learning methods resulting in two indices: the SPARE-BA index (capturing age-related brain atrophy), and the SPARE-AD index (previously developed to capture patterns of atrophy found in patients with Alzheimer's disease). A characteristic pattern of age-related accumulation of white matter hyperintensities in both periventricular and deep white matter areas was found. Individuals with high white matter hyperintensities burden showed significantly (P {\textlangle} 0.0001) lower SPARE-BA and higher SPARE-AD values compared to those with low white matter hyperintensities burden, indicating that the former had more patterns of atrophy in brain regions typically affected by ageing and Alzheimer's disease dementia. To investigate a possibly causal role of white matter hyperintensities, structural equation modelling was used to quantify the effect of Framingham cardiovascular disease risk score and white matter hyperintensities burden on SPARE-BA, revealing a statistically significant (P {\textlangle} 0.0001) causal relationship between them. Structural equation modelling showed that the age effect on SPARE-BA was mediated by white matter hyperintensities and cardiovascular risk score each explaining 10.4\% and 21.6\% of the variance, respectively. The direct age effect explained 70.2\% of the SPARE-BA variance. Only white matter hyperintensities significantly mediated the age effect on SPARE-AD explaining 32.8\% of the variance. The direct age effect explained 66.0\% of the SPARE-AD variance. Multivariable regression showed significant relationship between white matter hyperintensities volume and hypertension (P = 0.001), diabetes mellitus (P = 0.023), smoking (P = 0.002) and education level (P = 0.003). The only significant association with cognitive tests was with the immediate recall of the California verbal and learning memory test. No significant association was present with the APOE genotype. These results support the hypothesis that white matter hyperintensities contribute to patterns of brain atrophy found in beyond-normal brain ageing in the general population. White matter hyperintensities also contribute to brain atrophy patterns in regions related to Alzheimer's disease dementia, in agreement with their known additive role to the likelihood of dementia. Preventive strategies reducing the odds to develop cardiovascular disease and white matter hyperintensities could decrease the incidence or delay the onset of dementia.},
  author       = {Habes, Mohamad and Erus, Guray and Toledo, Jon B and Zhang, Tianhao and Bryan, Nick and Launer, Lenore J and Rosseel, Yves and Janowitz, Deborah and Doshi, Jimit and Van der Auwera, Sandra and von Sarnowski, Bettina and Hegenscheid, Katrin and Hosten, Norbert and Homuth, Georg and Voelzke, Henry and Schminke, Ulf and Hoffmann, Wolfgang and Grabe, Hans J and Davatzikos, Christos},
  issn         = {0006-8950},
  journal      = {BRAIN},
  keyword      = {MILD COGNITIVE IMPAIRMENT,VOXEL-BASED MORPHOMETRY,VASCULAR,RISK-FACTORS,SMALL VESSEL DISEASE,ALZHEIMERS-DISEASE,OLDER-ADULTS,CEREBROVASCULAR-DISEASE,FLUID INTELLIGENCE,SPATIAL-PATTERNS,ELDERLY-PEOPLE,white matter hyperintensities,Alzheimer's disease,brain ageing,cardiovascular disease,mild cognitive impairment},
  language     = {eng},
  number       = {4},
  pages        = {1164--1179},
  publisher    = {Oxford Univ Press},
  title        = {White matter hyperintensities and imaging patterns of brain ageing in the general population},
  url          = {http://dx.doi.org/10.1093/brain/aww008},
  volume       = {139},
  year         = {2016},
}

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