Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

Katherine E. Lawrence; Leila Nabulsi; Vigneshwaran Santhalingam; Zvart Abaryan; Julio E. Villalon-Reina; Talia M. Nir; Iyad Ba Gari; Alyssa H. Zhu; Elizabeth Haddad; Alexandra M. Muir; Neda Jahanshad; Paul M. Thompson

doi:10.1117/12.2579622

Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

Katherine E. Lawrence, Leila Nabulsi, Vigneshwaran Santhalingam, Zvart Abaryan, Julio E. Villalon-Reina, Talia M. Nir, Iyad Ba Gari, Alyssa H. Zhu, Elizabeth Haddad, Alexandra M. Muir, Neda Jahanshad, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The brain’s white matter microstructure, as assessed using diffusion-weighted MRI (DWI), changes significantly with age and also exhibits significant sex differences. Here we examined the ability of a traditional diffusivity metric (fractional anisotropy derived from diffusion tensor imaging, DTI-FA) and advanced diffusivity metrics (fractional anisotropy derived from the tensor distribution function, TDF-FA; neurite orientation dispersion and density imaging measures of intracellular volume fraction, NODDI-ICVF; orientation dispersion index, NODDI-ODI; and isotropic volume fraction, NODDI-ISOVF) to detect sex differences in white matter aging. We also created normative aging reference curves based on sex. Diffusion tensor imaging (DTI) applies a single-tensor diffusion model to single-shell DWI data, while the tensor distribution function (TDF) fits a continuous distribution of tensors to single-shell DWI data. Neurite orientation dispersion and density imaging (NODDI) fits a multi-compartment model to multi-shell DWI data to distinguish intra- and extracellular contributions to diffusion. We analyzed these traditional and advanced diffusion measures in a large population sample available through the UK Biobank (15,394 participants; age-range: 45-80 years) by using linear regression and fractional polynomials. Advanced diffusivity metrics (NODDI-ODI, NODDI-ISOVF, TDF-FA) detected significant sex differences in aging, whereas a traditional metric (DTI-FA) did not. These findings suggest that future studies examining sex differences in white matter aging may benefit from including advanced diffusion measures.

Original language	English
Title of host publication	16th International Symposium on Medical Information Processing and Analysis
Editors	Eduardo Romero, Natasha Lepore, Jorge Brieva, Marius Linguraru
Publisher	SPIE
ISBN (Electronic)	9781510639911
DOIs	https://doi.org/10.1117/12.2579622
State	Published - 2020
Externally published	Yes
Event	16th International Symposium on Medical Information Processing and Analysis 2020 - Lima, Virtual, Peru Duration: 3 Oct 2020 → 4 Oct 2020

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11583
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	16th International Symposium on Medical Information Processing and Analysis 2020
Country/Territory	Peru
City	Lima, Virtual
Period	3/10/20 → 4/10/20

Keywords

Aging
Diffusion tensor imaging
Diffusion-weighted MRI
Neurite orientation dispersion and density imaging
Normative reference curves
Sex differences
Tensor distribution function
White matter microstructure

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10.1117/12.2579622

Cite this

Lawrence, K. E., Nabulsi, L., Santhalingam, V., Abaryan, Z., Villalon-Reina, J. E., Nir, T. M., Gari, I. B., Zhu, A. H., Haddad, E., Muir, A. M., Jahanshad, N., & Thompson, P. M. (2020). Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank. In E. Romero, N. Lepore, J. Brieva, & M. Linguraru (Eds.), 16th International Symposium on Medical Information Processing and Analysis Article 1158307 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11583). SPIE. https://doi.org/10.1117/12.2579622

Lawrence, Katherine E. ; Nabulsi, Leila ; Santhalingam, Vigneshwaran et al. / Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank. 16th International Symposium on Medical Information Processing and Analysis. editor / Eduardo Romero ; Natasha Lepore ; Jorge Brieva ; Marius Linguraru. SPIE, 2020. (Proceedings of SPIE - The International Society for Optical Engineering).

@inproceedings{427740c4bab749e99c561b2edc927898,

title = "Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank",

abstract = "The brain{\textquoteright}s white matter microstructure, as assessed using diffusion-weighted MRI (DWI), changes significantly with age and also exhibits significant sex differences. Here we examined the ability of a traditional diffusivity metric (fractional anisotropy derived from diffusion tensor imaging, DTI-FA) and advanced diffusivity metrics (fractional anisotropy derived from the tensor distribution function, TDF-FA; neurite orientation dispersion and density imaging measures of intracellular volume fraction, NODDI-ICVF; orientation dispersion index, NODDI-ODI; and isotropic volume fraction, NODDI-ISOVF) to detect sex differences in white matter aging. We also created normative aging reference curves based on sex. Diffusion tensor imaging (DTI) applies a single-tensor diffusion model to single-shell DWI data, while the tensor distribution function (TDF) fits a continuous distribution of tensors to single-shell DWI data. Neurite orientation dispersion and density imaging (NODDI) fits a multi-compartment model to multi-shell DWI data to distinguish intra- and extracellular contributions to diffusion. We analyzed these traditional and advanced diffusion measures in a large population sample available through the UK Biobank (15,394 participants; age-range: 45-80 years) by using linear regression and fractional polynomials. Advanced diffusivity metrics (NODDI-ODI, NODDI-ISOVF, TDF-FA) detected significant sex differences in aging, whereas a traditional metric (DTI-FA) did not. These findings suggest that future studies examining sex differences in white matter aging may benefit from including advanced diffusion measures.",

keywords = "Aging, Diffusion tensor imaging, Diffusion-weighted MRI, Neurite orientation dispersion and density imaging, Normative reference curves, Sex differences, Tensor distribution function, White matter microstructure",

author = "Lawrence, {Katherine E.} and Leila Nabulsi and Vigneshwaran Santhalingam and Zvart Abaryan and Villalon-Reina, {Julio E.} and Nir, {Talia M.} and Gari, {Iyad Ba} and Zhu, {Alyssa H.} and Elizabeth Haddad and Muir, {Alexandra M.} and Neda Jahanshad and Thompson, {Paul M.}",

note = "Publisher Copyright: {\textcopyright} 2020 SPIE; 16th International Symposium on Medical Information Processing and Analysis 2020 ; Conference date: 03-10-2020 Through 04-10-2020",

year = "2020",

doi = "10.1117/12.2579622",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Eduardo Romero and Natasha Lepore and Jorge Brieva and Marius Linguraru",

booktitle = "16th International Symposium on Medical Information Processing and Analysis",

address = "United States",

}

Lawrence, KE, Nabulsi, L, Santhalingam, V, Abaryan, Z, Villalon-Reina, JE, Nir, TM, Gari, IB, Zhu, AH, Haddad, E, Muir, AM, Jahanshad, N & Thompson, PM 2020, Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank. in E Romero, N Lepore, J Brieva & M Linguraru (eds), 16th International Symposium on Medical Information Processing and Analysis., 1158307, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11583, SPIE, 16th International Symposium on Medical Information Processing and Analysis 2020, Lima, Virtual, Peru, 3/10/20. https://doi.org/10.1117/12.2579622

Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank. / Lawrence, Katherine E.; Nabulsi, Leila; Santhalingam, Vigneshwaran et al.
16th International Symposium on Medical Information Processing and Analysis. ed. / Eduardo Romero; Natasha Lepore; Jorge Brieva; Marius Linguraru. SPIE, 2020. 1158307 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11583).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

AU - Lawrence, Katherine E.

AU - Nabulsi, Leila

AU - Santhalingam, Vigneshwaran

AU - Abaryan, Zvart

AU - Villalon-Reina, Julio E.

AU - Nir, Talia M.

AU - Gari, Iyad Ba

AU - Zhu, Alyssa H.

AU - Haddad, Elizabeth

AU - Muir, Alexandra M.

AU - Jahanshad, Neda

AU - Thompson, Paul M.

PY - 2020

Y1 - 2020

N2 - The brain’s white matter microstructure, as assessed using diffusion-weighted MRI (DWI), changes significantly with age and also exhibits significant sex differences. Here we examined the ability of a traditional diffusivity metric (fractional anisotropy derived from diffusion tensor imaging, DTI-FA) and advanced diffusivity metrics (fractional anisotropy derived from the tensor distribution function, TDF-FA; neurite orientation dispersion and density imaging measures of intracellular volume fraction, NODDI-ICVF; orientation dispersion index, NODDI-ODI; and isotropic volume fraction, NODDI-ISOVF) to detect sex differences in white matter aging. We also created normative aging reference curves based on sex. Diffusion tensor imaging (DTI) applies a single-tensor diffusion model to single-shell DWI data, while the tensor distribution function (TDF) fits a continuous distribution of tensors to single-shell DWI data. Neurite orientation dispersion and density imaging (NODDI) fits a multi-compartment model to multi-shell DWI data to distinguish intra- and extracellular contributions to diffusion. We analyzed these traditional and advanced diffusion measures in a large population sample available through the UK Biobank (15,394 participants; age-range: 45-80 years) by using linear regression and fractional polynomials. Advanced diffusivity metrics (NODDI-ODI, NODDI-ISOVF, TDF-FA) detected significant sex differences in aging, whereas a traditional metric (DTI-FA) did not. These findings suggest that future studies examining sex differences in white matter aging may benefit from including advanced diffusion measures.

AB - The brain’s white matter microstructure, as assessed using diffusion-weighted MRI (DWI), changes significantly with age and also exhibits significant sex differences. Here we examined the ability of a traditional diffusivity metric (fractional anisotropy derived from diffusion tensor imaging, DTI-FA) and advanced diffusivity metrics (fractional anisotropy derived from the tensor distribution function, TDF-FA; neurite orientation dispersion and density imaging measures of intracellular volume fraction, NODDI-ICVF; orientation dispersion index, NODDI-ODI; and isotropic volume fraction, NODDI-ISOVF) to detect sex differences in white matter aging. We also created normative aging reference curves based on sex. Diffusion tensor imaging (DTI) applies a single-tensor diffusion model to single-shell DWI data, while the tensor distribution function (TDF) fits a continuous distribution of tensors to single-shell DWI data. Neurite orientation dispersion and density imaging (NODDI) fits a multi-compartment model to multi-shell DWI data to distinguish intra- and extracellular contributions to diffusion. We analyzed these traditional and advanced diffusion measures in a large population sample available through the UK Biobank (15,394 participants; age-range: 45-80 years) by using linear regression and fractional polynomials. Advanced diffusivity metrics (NODDI-ODI, NODDI-ISOVF, TDF-FA) detected significant sex differences in aging, whereas a traditional metric (DTI-FA) did not. These findings suggest that future studies examining sex differences in white matter aging may benefit from including advanced diffusion measures.

KW - Aging

KW - Diffusion tensor imaging

KW - Diffusion-weighted MRI

KW - Neurite orientation dispersion and density imaging

KW - Normative reference curves

KW - Sex differences

KW - Tensor distribution function

KW - White matter microstructure

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DO - 10.1117/12.2579622

M3 - Conference contribution

AN - SCOPUS:85096863727

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - 16th International Symposium on Medical Information Processing and Analysis

A2 - Romero, Eduardo

A2 - Lepore, Natasha

A2 - Brieva, Jorge

A2 - Linguraru, Marius

PB - SPIE

T2 - 16th International Symposium on Medical Information Processing and Analysis 2020

Y2 - 3 October 2020 through 4 October 2020

ER -

Lawrence KE, Nabulsi L, Santhalingam V, Abaryan Z, Villalon-Reina JE, Nir TM et al. Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank. In Romero E, Lepore N, Brieva J, Linguraru M, editors, 16th International Symposium on Medical Information Processing and Analysis. SPIE. 2020. 1158307. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2579622

Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

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Keywords

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