Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals

Floor A.S. de Kort; Elisabeth J. Vinke; Ewoud J. van der Lelij; Devasuda Anblagan; Mark E. Bastin; Alexa Beiser; Henry Brodaty; Nishi Chaturvedi; Bastian Cheng; Simon R. Cox; Charles DeCarli; Christian Enzinger; Evan Fletcher; Richard Frayne; Marius de Groot; Felicia Huang; M. Arfan Ikram; Jiyang Jiang; Bonnie Y.K. Lam; Pauline Maillard; Carola Mayer; Cheryl R. McCreary; Vincent Mok; Susana Muñoz Maniega; Marvin Petersen; Genady Roshchupkin; Perminder S. Sachdev; Reinhold Schmidt; Stephan Seiler; Sudha Seshadri; Carole H. Sudre; Götz Thomalla; Raphael Twerenbold; Maria Valdés Hernández; Meike W. Vernooij; Joanna M. Wardlaw; Wei Wen; Hugo J. Kuijf; Geert Jan Biessels; J. Matthijs Biesbroek

doi:10.1016/j.neurobiolaging.2024.11.006

Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals

Floor A.S. de Kort^*, Elisabeth J. Vinke, Ewoud J. van der Lelij, Devasuda Anblagan, Mark E. Bastin, Alexa Beiser, Henry Brodaty, Nishi Chaturvedi, Bastian Cheng, Simon R. Cox, Charles DeCarli, Christian Enzinger, Evan Fletcher, Richard Frayne, Marius de Groot, Felicia Huang, M. Arfan Ikram, Jiyang Jiang, Bonnie Y.K. Lam, Pauline MaillardCarola Mayer, Cheryl R. McCreary, Vincent Mok, Susana Muñoz Maniega, Marvin Petersen, Genady Roshchupkin, Perminder S. Sachdev, Reinhold Schmidt, Stephan Seiler, Sudha Seshadri, Carole H. Sudre, Götz Thomalla, Raphael Twerenbold, Maria Valdés Hernández, Meike W. Vernooij, Joanna M. Wardlaw, Wei Wen, Hugo J. Kuijf, Geert Jan Biessels, J. Matthijs Biesbroek

^*Corresponding author for this work

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Abstract

White matter hyperintensities (WMH) increase with age, with marked interindividual variation. There is a need for normative data by age and sex, to improve individualized WMH burden assessment. In this study, we pooled cross-sectional data from 15 population-based cohorts (14,876 nondemented individuals, age 18–97 years), through the Meta VCI Map consortium. Whole brain and tract-specific MRI-assessed WMH volumes were calculated in MNI-152 space. We used quantile regression to create centile curves of WMH volume versus age, stratified by sex. Total WMH volume and interindividual variance increased exponentially with age for both sexes, with females showing higher WMH volumes. WMH volume increase with aging was not uniform across the white matter, but instead followed one of three different patterns depending on location. Age- and sex-specific normative data for total and regional WMH volumes were created. Our study provides detailed information on the normal distribution of total and regional WMH volumes across adulthood. The normative data enable a quantitative approach to interpreting total and regional WMH volumes in clinical practice and research settings.

Original language	English
Pages (from-to)	38-47
Number of pages	10
Journal	Neurobiology of Aging
Volume	146
DOIs	https://doi.org/10.1016/j.neurobiolaging.2024.11.006
Publication status	Published - Feb 2025

Keywords

Aging
Cerebral small vessel disease
MRI
Normative data
Population-based
White matter hyperintensities

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de Kort, F. A. S., Vinke, E. J., van der Lelij, E. J., Anblagan, D., Bastin, M. E., Beiser, A., Brodaty, H., Chaturvedi, N., Cheng, B., Cox, S. R., DeCarli, C., Enzinger, C., Fletcher, E., Frayne, R., de Groot, M., Huang, F., Ikram, M. A., Jiang, J., Lam, B. Y. K., ... Biesbroek, J. M. (2025). Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals. Neurobiology of Aging, 146, 38-47. https://doi.org/10.1016/j.neurobiolaging.2024.11.006

@article{39e4bc32ffb54a58bb50adbcfc47c873,

title = "Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals",

abstract = "White matter hyperintensities (WMH) increase with age, with marked interindividual variation. There is a need for normative data by age and sex, to improve individualized WMH burden assessment. In this study, we pooled cross-sectional data from 15 population-based cohorts (14,876 nondemented individuals, age 18–97 years), through the Meta VCI Map consortium. Whole brain and tract-specific MRI-assessed WMH volumes were calculated in MNI-152 space. We used quantile regression to create centile curves of WMH volume versus age, stratified by sex. Total WMH volume and interindividual variance increased exponentially with age for both sexes, with females showing higher WMH volumes. WMH volume increase with aging was not uniform across the white matter, but instead followed one of three different patterns depending on location. Age- and sex-specific normative data for total and regional WMH volumes were created. Our study provides detailed information on the normal distribution of total and regional WMH volumes across adulthood. The normative data enable a quantitative approach to interpreting total and regional WMH volumes in clinical practice and research settings.",

keywords = "Aging, Cerebral small vessel disease, MRI, Normative data, Population-based, White matter hyperintensities",

author = "{de Kort}, {Floor A.S.} and Vinke, {Elisabeth J.} and {van der Lelij}, {Ewoud J.} and Devasuda Anblagan and Bastin, {Mark E.} and Alexa Beiser and Henry Brodaty and Nishi Chaturvedi and Bastian Cheng and Cox, {Simon R.} and Charles DeCarli and Christian Enzinger and Evan Fletcher and Richard Frayne and {de Groot}, Marius and Felicia Huang and Ikram, {M. Arfan} and Jiyang Jiang and Lam, {Bonnie Y.K.} and Pauline Maillard and Carola Mayer and McCreary, {Cheryl R.} and Vincent Mok and Maniega, {Susana Mu{\~n}oz} and Marvin Petersen and Genady Roshchupkin and Sachdev, {Perminder S.} and Reinhold Schmidt and Stephan Seiler and Sudha Seshadri and Sudre, {Carole H.} and G{\"o}tz Thomalla and Raphael Twerenbold and {Vald{\'e}s Hern{\'a}ndez}, Maria and Vernooij, {Meike W.} and Wardlaw, {Joanna M.} and Wei Wen and Kuijf, {Hugo J.} and Biessels, {Geert Jan} and Biesbroek, {J. Matthijs}",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors",

year = "2025",

month = feb,

doi = "10.1016/j.neurobiolaging.2024.11.006",

language = "English",

volume = "146",

pages = "38--47",

journal = "Neurobiology of Aging",

issn = "0197-4580",

publisher = "Elsevier",

}

de Kort, FAS, Vinke, EJ, van der Lelij, EJ, Anblagan, D, Bastin, ME, Beiser, A, Brodaty, H, Chaturvedi, N, Cheng, B, Cox, SR, DeCarli, C, Enzinger, C, Fletcher, E, Frayne, R, de Groot, M, Huang, F, Ikram, MA, Jiang, J, Lam, BYK, Maillard, P, Mayer, C, McCreary, CR, Mok, V, Maniega, SM, Petersen, M, Roshchupkin, G, Sachdev, PS, Schmidt, R, Seiler, S, Seshadri, S, Sudre, CH, Thomalla, G, Twerenbold, R, Valdés Hernández, M, Vernooij, MW, Wardlaw, JM, Wen, W, Kuijf, HJ , Biessels, GJ & Biesbroek, JM 2025, 'Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals', Neurobiology of Aging, vol. 146, pp. 38-47. https://doi.org/10.1016/j.neurobiolaging.2024.11.006

TY - JOUR

T1 - Cerebral white matter hyperintensity volumes

T2 - Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals

AU - de Kort, Floor A.S.

AU - Vinke, Elisabeth J.

AU - van der Lelij, Ewoud J.

AU - Anblagan, Devasuda

AU - Bastin, Mark E.

AU - Beiser, Alexa

AU - Brodaty, Henry

AU - Chaturvedi, Nishi

AU - Cheng, Bastian

AU - Cox, Simon R.

AU - DeCarli, Charles

AU - Enzinger, Christian

AU - Fletcher, Evan

AU - Frayne, Richard

AU - de Groot, Marius

AU - Huang, Felicia

AU - Ikram, M. Arfan

AU - Jiang, Jiyang

AU - Lam, Bonnie Y.K.

AU - Maillard, Pauline

AU - Mayer, Carola

AU - McCreary, Cheryl R.

AU - Mok, Vincent

AU - Maniega, Susana Muñoz

AU - Petersen, Marvin

AU - Roshchupkin, Genady

AU - Sachdev, Perminder S.

AU - Schmidt, Reinhold

AU - Seiler, Stephan

AU - Seshadri, Sudha

AU - Sudre, Carole H.

AU - Thomalla, Götz

AU - Twerenbold, Raphael

AU - Valdés Hernández, Maria

AU - Vernooij, Meike W.

AU - Wardlaw, Joanna M.

AU - Wen, Wei

AU - Kuijf, Hugo J.

AU - Biessels, Geert Jan

AU - Biesbroek, J. Matthijs

PY - 2025/2

Y1 - 2025/2

N2 - White matter hyperintensities (WMH) increase with age, with marked interindividual variation. There is a need for normative data by age and sex, to improve individualized WMH burden assessment. In this study, we pooled cross-sectional data from 15 population-based cohorts (14,876 nondemented individuals, age 18–97 years), through the Meta VCI Map consortium. Whole brain and tract-specific MRI-assessed WMH volumes were calculated in MNI-152 space. We used quantile regression to create centile curves of WMH volume versus age, stratified by sex. Total WMH volume and interindividual variance increased exponentially with age for both sexes, with females showing higher WMH volumes. WMH volume increase with aging was not uniform across the white matter, but instead followed one of three different patterns depending on location. Age- and sex-specific normative data for total and regional WMH volumes were created. Our study provides detailed information on the normal distribution of total and regional WMH volumes across adulthood. The normative data enable a quantitative approach to interpreting total and regional WMH volumes in clinical practice and research settings.

AB - White matter hyperintensities (WMH) increase with age, with marked interindividual variation. There is a need for normative data by age and sex, to improve individualized WMH burden assessment. In this study, we pooled cross-sectional data from 15 population-based cohorts (14,876 nondemented individuals, age 18–97 years), through the Meta VCI Map consortium. Whole brain and tract-specific MRI-assessed WMH volumes were calculated in MNI-152 space. We used quantile regression to create centile curves of WMH volume versus age, stratified by sex. Total WMH volume and interindividual variance increased exponentially with age for both sexes, with females showing higher WMH volumes. WMH volume increase with aging was not uniform across the white matter, but instead followed one of three different patterns depending on location. Age- and sex-specific normative data for total and regional WMH volumes were created. Our study provides detailed information on the normal distribution of total and regional WMH volumes across adulthood. The normative data enable a quantitative approach to interpreting total and regional WMH volumes in clinical practice and research settings.

KW - Aging

KW - Cerebral small vessel disease

KW - MRI

KW - Normative data

KW - Population-based

KW - White matter hyperintensities

UR - http://www.scopus.com/inward/record.url?scp=85210002293&partnerID=8YFLogxK

U2 - 10.1016/j.neurobiolaging.2024.11.006

DO - 10.1016/j.neurobiolaging.2024.11.006

M3 - Article

AN - SCOPUS:85210002293

SN - 0197-4580

VL - 146

SP - 38

EP - 47

JO - Neurobiology of Aging

JF - Neurobiology of Aging

ER -

Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals

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Keywords

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