Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank - PubMed (original) (raw)

Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank

Lisa Nobis et al. Neuroimage Clin. 2019.

Abstract

Measurement of hippocampal volume has proven useful to diagnose and track progression in several brain disorders, most notably in Alzheimer's disease (AD). For example, an objective evaluation of a patient's hippocampal volume status may provide important information that can assist diagnosis or risk stratification of AD. However, clinicians and researchers require access to age-related normative percentiles to reliably categorise a patient's hippocampal volume as being pathologically small. Here we analysed effects of age, sex, and hemisphere on the hippocampus and neighbouring temporal lobe volumes, in 19,793 generally healthy participants in the UK Biobank. A key finding of the current study is a significant acceleration in the rate of hippocampal volume loss in middle age, more pronounced in females than in males. In this report, we provide normative values for hippocampal and total grey matter volume as a function of age for reference in clinical and research settings. These normative values may be used in combination with our online, automated percentile estimation tool to provide a rapid, objective evaluation of an individual's hippocampal volume status. The data provide a large-scale normative database to facilitate easy age-adjusted determination of where an individual hippocampal and temporal lobe volume lies within the normal distribution.

Keywords: Atrophy; Brain ageing; MRI; Normative values; Sex differences.

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

PubMed Disclaimer

Figures

Fig. 1

Fig. 1

Bland-Altman plot for differences in average hippocampal volume by estimation method. Mean average hippocampal volume of FSL-FIRST and FSL-FAST + atlas estimates on the x-axis is plotted against the difference between the two methods on the y-axis. The blue line represents the mean of the difference, red lines represent 1.96SD above and below the mean.

Fig. 2

Fig. 2

Nomogram of left hippocampal volume for females, corrected for head size. Figures show the quantiles of hippocampal volume for the group of individuals in each age window. The x-axis indicates the median age of the window. The mid line indicates the median. For someone with a given age and volume, a percentile can be read off the chart, indicating the proportion of the Biobank cohort who have a hippocampal volume below that of the person.

Fig. 3

Fig. 3

Nomogram of left hippocampal volume for males, corrected for head size. Figures show the quantiles of hippocampal volume for the group of individuals in each age window. The x-axis indicates the median age of the window. The mid line indicates the median. For someone with a given age and volume, a percentile can be read off the chart, indicating the proportion of the Biobank cohort who have a hippocampal volume below that of the person.

Fig. 4

Fig. 4

Nomogram of right hippocampal volume for females, corrected for head size. Figures show the quantiles of hippocampal volume for the group of individuals in each age window. The x-axis indicates the median age of the window. The mid line indicates the median. For someone with a given age and volume, a percentile can be read off the chart, indicating the proportion of the Biobank cohort who have a hippocampal volume below that of the person.

Fig. 5

Fig. 5

Nomogram of right hippocampal volume for males, corrected for head size. Figures show the quantiles of hippocampal volume for the group of individuals in each age window. The x-axis indicates the median age of the window. The mid line indicates the median. For someone with a given age and volume, a percentile can be read off the chart, indicating the proportion of the Biobank cohort who have a hippocampal volume below that of the person.

Fig. 6

Fig. 6

Percent differences between left and right volumes. Bars represent the differences between left and right volumes, expressed as percentages of the average size of the regions, calculated by left volume−right volumeleft volume−right volume2∗100left volume−right volumeleft volume+right volume2∗100. Negative percentage differences correspond to larger right volumes, positive percent differences correspond to larger left volumes. Black bars indicate a significant corresponding _t_-test for absolute volume differences, at p < .001 (Bonferroni-corrected α = 0.05/7 = 0.007).

Fig. 7

Fig. 7

Percent differences between males and females. Bars represent the differences between volumes for men and women, expressed as percentages of the average size of the regions, calculated by male−femalemale−female2∗100volume male−volume femalevolume male+volume female2∗100. Negative percentage differences correspond to larger right volumes, positive percent differences correspond to larger left volumes. Black bars indicate a significant corresponding t-test for absolute volume differences at p < .001 (Bonferroni-corrected α = 0.05/8 = 0.006).

Fig. 8

Fig. 8

Trajectory of hippocampal volume with age. Dashed lines indicate points of maximum ratio. A. Mean bilateral hippocampal volume including standard errors as a function of age, corrected for head size. B. Mean total grey matter volume including standard errors as a function of age, corrected for head size. C. Mean hippocampal volume to rest of grey matter ratio including standard errors as a function of age.

Fig. 9

Fig. 9

Joinpoint analysis for hippocampal and total grey matter volume. A. Joinpoint (change of slope) in bilateral hippocampal volume over age in females B. Joinpoint bilateral hippocampus in males. C. Joinpoint in rest of grey matter volume (total grey matter – bilateral hippocampus) in females D. Joinpoint in rest of grey matter for males.

Fig. 10

Fig. 10

Trajectory of temporal lobe volumes with age, corrected for head-size. Dashed lines indicate points of maximum ratio. A. Bilateral superior temporal gyrus volume. AA. Bilateral superior temporal gyrus ratio to rest of grey matter. B. Bilateral middle temporal gyrus volume. BB. Bilateral middle temporal gyrus ratio to rest of grey matter. C. Bilateral inferior temporal gyrus volume. CC. Bilateral inferior temporal gyrus ratio to rest of grey matter. D. Bilateral fusiform gyrus volume. DD. Bilateral fusiform gyrus ratio to rest of grey matter. E. Bilateral parahippocampal gyrus volume. EE. Bilateral parahippocampal gyrus ratio to rest of grey matter. F. Bilateral temporal pole volume. FF. Bilateral temporal pole ratio to rest of grey matter.

Fig. 10

Fig. 10

Trajectory of temporal lobe volumes with age, corrected for head-size. Dashed lines indicate points of maximum ratio. A. Bilateral superior temporal gyrus volume. AA. Bilateral superior temporal gyrus ratio to rest of grey matter. B. Bilateral middle temporal gyrus volume. BB. Bilateral middle temporal gyrus ratio to rest of grey matter. C. Bilateral inferior temporal gyrus volume. CC. Bilateral inferior temporal gyrus ratio to rest of grey matter. D. Bilateral fusiform gyrus volume. DD. Bilateral fusiform gyrus ratio to rest of grey matter. E. Bilateral parahippocampal gyrus volume. EE. Bilateral parahippocampal gyrus ratio to rest of grey matter. F. Bilateral temporal pole volume. FF. Bilateral temporal pole ratio to rest of grey matter.

References

    1. Adriano F., Caltagirone C., Spalletta G. Hippocampal volume reduction in first-episode and chronic schizophrenia: A review and meta-analysis. Neurosci. 2012;18:180–200. -PubMed
    1. Ahmed R.M., Paterson R.W., Warren J.D., Zetterberg H., O'Brien J.T., Fox N.C., Halliday G.M., Schott J.M. Biomarkers in dementia: clinical utility and new directions. J. Neurol. Neurosurg. Psychiatry. 2014;85:1426–1434. -PMC -PubMed
    1. Alfaro-Almagro F., Jenkinson M., Bangerter N.K., Andersson J.L.R., Griffanti L., Douaud G.E., Sotiropoulos S.N., Jbabdi S., Hernandez-Fernandez M., Vallee E., Vidaurre D., Webster M., Mccarthy P., Rorden C., Daducci A., Alexander D.C., Zhang H., Dragonu I., Matthews P.M., Miller K.L., Smith S.M. Image processing and quality control for the first 10,000 brain imaging datasets from UK biobank. Neuroimage. 2018;166:400–424. -PMC -PubMed
    1. Barnes J., Bartlett J.W., van de Pol L.A., Loy C.T., Scahill R.I., Frost C., Thompson P., Fox N.C. A meta-analysis of hippocampal atrophy rates in Alzheimer's disease. Neurobiol. Aging. 2009;30:1711–1723. -PMC -PubMed
    1. Barnes J., Ridgway G.R., Bartlett J., Henley S.M.D., Lehmann M., Hobbs N., Clarkson M.J., Macmanus D.G., Ourselin S., Fox N.C. Head size, age and gender adjustment in MRI studies: a necessary nuisance? Neuroimage. 2010;53:1244–1255. -PubMed

Publication types

MeSH terms

LinkOut - more resources