Elsevier

NeuroImage

Volume 22, Issue 1, May 2004, Pages 144-154
NeuroImage

The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals

https://doi.org/10.1016/j.neuroimage.2003.12.027Get rights and content

Abstract

We report the topography of brain white matter hyperintensities (WMHs) on T2-weighted fluid attenuated inversion recovery (FLAIR) magnetic resonance imaging in 477 healthy subjects aged 60–64 years selected randomly from the community. WMHs were delineated by using a computer algorithm. We found that all subjects had periventricular WMHs and 96.6% subjects also had deep WMHs. The mean volume of WMHs was 4.9 ml, comprising 0.83% of the white matter, of which 1.2 ml was severe in intensity. The deep WMHs were distributed throughout the cerebral hemispheres, with the occipital and frontal white matter bearing the greatest burden. The territory of the lenticulostriate arteries had the greatest WMHs. A white matter region of 4 mm adjacent to the cortex was not affected by hyperintensities. The mean (SD) number of discrete WMHs was 19.6 (7.1) per subject, of which 6.1 (4.4) were severe in intensity. Nearly half (48.6%) of the subjects had at least one large WMH (>12 mm diameter) and one eighth (12.5%) of the subjects had at least one large WMH that appeared to be severe in MRI. The overall load of WMHs was similar in men and women, but the latter had a higher proportion of their white matter so affected. This study provides the first detailed topographic analysis of WMHs in a large representative middle-aged sample, emphasizes their high prevalence in mid-adult life and raises issues about their etiology and significance.

Introduction

Foci of high signal intensity on T2-weighted magnetic resonance imaging (MRI) in the white matter are a common finding in the brains of asymptomatic elderly individuals as well as in disease-specific brains Kertesz et al., 1988, Whitman et al., 2001, with reported prevalence in the healthy elderly varying from 10% up to 100% in different studies (De Leeuw et al., 2000). The etiology of white matter hyperintensities (WMHs), sometimes called leuokoaraiosis, is not specific and may relate to ischemia, demyelinating disorders, hydrocephalus, trauma, inflammatory disease, radiation injury, amyloidosis and other causes (Pantoni and Garcia, 1995). Their pathology is similarly varied, with reports of normal findings to complete infarction Fazekas et al., 1993, Liefer et al., 1990, Scheltens et al., 1995, Schmidt et al., 1999, Smith et al., 2000. The volume and number of WMHs have been found to be associated with brain atrophy, reduced cerebral blood flow and focal neurologic signs (DeCarli et al., 1995). WMHs have been noted to be associated with cognitive impairment, with a suggestion that a certain threshold of their extent must be reached before this becomes clinically apparent (Román, 1987). WMHs have also been linked to neuropsychiatric disorders such as major depression, bipolar disorder and schizophrenia (Sachdev and Brodaty, 1999).

Compared to other imaging modalities, T2-weighted MRI is very sensitive to abnormalities in the white matter. Healthy white matter is heavily myelinated and has a high content of long-chain fatty acids and about 12% less water than gray matter. With degradation of myelin, the tissue, due to a higher water content and degeneration of macromolecular structures, dramatically changes its relaxation rates, which is seen as a higher signal on T2-weighted and fluid attenuated inversion recovery (FLAIR) sequence MRI (Bronge, 2001). These signals range from areas of diffuse but mild increase, to punctuate foci of intense signal to areas of confluent patches; rarely, the entire cerebral white matter is so involved. WMHs have therefore been visually graded by radiologists and researchers based on their intensity, focal or diffuse extent, and distribution. Although defining and grading of WMH regions within an image do not directly relate to the existence, type and severity of the pathology of the tissue, neuropathologic studies have shown strong correlations between them (Fazekas et al., 1993). Some studies pointed out that WMH seen in MRI tended to be underestimated in comparison with corresponding histopathological examination Grafton et al., 1991, Munoz et al., 1993, Scarpelli et al., 1994.

The study of WMHs has thus far been limited in many ways. Most studies have used clinic populations or samples of convenience, and their prevalence in healthy, community-dwelling populations has received less attention (Fazekas and Englund, 2002). Previous reports have largely tended to use visual ratings of WMHs, which not only fail to capture the full diversity of the findings and the continuous nature of the data, but also disregard the topography of the lesions. No topographic maps of WMHs have previously been published. Such maps are likely to instruct us on questions such as hemispheric symmetry and gender differences and provide a basis for the examination of the functional relevance of these lesions. Since the development of WMHs is related to age, an examination of individuals in middle age offers the opportunity to determine the distribution of lesions in their early phase and provides a baseline for the examination of the impact of age, hypertension, diabetes and other risk factors on the severity and distribution of WMHs. We report the results of a comprehensive assessment of WMHs in a large representative sample of healthy middle-aged (60–64 years) individuals recruited from the community, selected randomly from the electoral roll and present for the first time topographic maps of WMHs.

Section snippets

Subjects

The sample was drawn from the Path Through Life (PTL) project, designed to study the risk and protection factors for normal aging, dementia and other neuropsychiatric disorders. The study cohort comprised 2551 individuals with a mean of 13.72 years of education, resident of the Australian Capital Territory, who were recruited randomly through the electoral roll. The response rate was 58.3% for the total sample. About one subject in five was selected at random for participation in the MRI study.

Results

Hyperintense signals on T2-weighted FLAIR images were present in all 60- to 64-year-old subjects, but their extent and distribution varied considerably. The mean (SD) volume of WMH was 4.904 (4.976) ml per subject, which represented 0.83% (0.84) of the total white matter. Since the abnormal signal varied in its intensity, we categorized it into mild (signal intensity 3–6 SD greater than mean intensity for WM) and severe (signal intensity >6 SD above the mean WM intensity). The former usually

Discussion

We have presented the first detailed topographic maps of hyperintense signals on T2-weighted imaging in a large sample of middle-aged individuals. Our sample was a randomly selected population from the community with a high response rate, making it a representative sample. We used the FLAIR sequence to map the whole brain with 4-mm slices without gaps. The 4-mm slice thickness does impose some limitations on volumetric measurement but is unavoidable due to technical constraints. We used an

Acknowledgements

We thank Hadi Ahankoob for data analysis, Zhang Qingchen for tracing of arterial territories, Rajeev Kumar, Greg de Plater and Kaarin Anstey for providing the qualitative ratings for assessing validity, and Angela Russell for manuscript preparation. The PATH project involved many researchers, particularly Helen Christensen, Anthony Jorm, Bryan Rodgers (Chief Investigators), Trish Jacomb, Karen Maxwell, June Cullen and a team of interviewers. The study was supported by NHMRC Project Grant 157125

References (49)

  • Bronge, L., 2001. Magnetic resonance imaging in dementia: a study of brain white matter changes. PhD thesis, Fredagen...
  • C DeCarli et al.

    The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults

    Neurology

    (1995)
  • F De Leeuw et al.

    White matter changes. Frequency and risk factors

  • J De Reuck

    The human periventricular arterial blood supply and the anatomy of cerebral infarctions

    Eur. Neurol.

    (1971)
  • H Duvernoy

    The Human Brain: Surface, Three-Dimensional Sectional Anatomy and MRI

    (1991)
  • F Fazekas et al.

    White matter lesions

  • F Fazekas et al.

    MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging

    Am. J. Neuroradiol.

    (1987)
  • F Fazekas et al.

    Criteria for an increased specificity of MRI interpretation in elderly subjects with suspected multiple sclerosis

    Neurology

    (1988)
  • F Fazekas et al.

    Pathologic correlates of incidental MRI white matter signal hyperintensities

    Neurology

    (1993)
  • S.T Grafton et al.

    Comparison of postmortem magnetic resonance imaging and neuropathologic findings in the cerebral white matter

    Arch. Neurol.

    (1991)
  • C.R Jack et al.

    FLAIR histogram segmentation for measurement of leukoaraiosis volume

    JMRI

    (2001)
  • A Kertesz et al.

    Periventricular and subcortical hyperintensities on magnetic resonance imaging: “rims, caps and unidentified bright objects”

    Arch. Neurol.

    (1988)
  • J.B Kirkpatrick et al.

    White-matter lesions in MR imaging of clinically healthy brains of elderly subjects: possible pathologic basis

    Radiology

    (1987)
  • D Liefer et al.

    Clinicopathologic correlations of cranial magnetic resonance imaging of periventricular white matter

    Neurology

    (1990)
  • Cited by (248)

    • Reproducibility and repeatability of magnetic resonance imaging in dementia

      2022, Physica Medica
      Citation Excerpt :

      The younger age of our THs compared to the target cohort of the Clinics (55+ years) means that we are better able to isolate the true repeatability in metrics from underlying age-related brain changes. It should be noted however, that a disadvantage in studying this younger age group is that volume of WMHs, a QIB widely studied in the context of normal and pathological aging, was very low (0 to 0.3 cm3) compared to approximately 5 cm3 in cognitively-normally 60–64 year olds [70], and over 10 cm3 in our own cohort of probable AD participants (preliminary unpublished data). Taken together, although minimal, there were nevertheless some minor OS software and sequence variations, and the potential for brain changes related to aging over the study period.

    • Imaging of Normal Brain Aging

      2022, Neuroimaging Clinics of North America
    View all citing articles on Scopus
    View full text