A genetic analysis of cortical thickness in 372 twins

Anand A. Joshi; Natasha Leporé; Shantanu Joshi; Agatha D. Lee; Marina Barysheva; Greig I. De Zubicaray; Margaret J. Wright; Katie L. McMahon; Arthur W. Toga; Paul M. Thompson

doi:10.1109/ISBI.2010.5490405

A genetic analysis of cortical thickness in 372 twins

Anand A. Joshi
, Natasha Leporé
, Shantanu Joshi
, Agatha D. Lee
, Marina Barysheva
, Greig I. De Zubicaray
, Margaret J. Wright
, Katie L. McMahon
, Arthur W. Toga
, Paul M. Thompson

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

1 Scopus citations

Abstract

Imaging genetics is a new field of neuroscience that blends methods from computational anatomy and quantitative genetics to identify genetic influences on brain structure and function. Here we analyzed brain MRI data from 372 young adult twins to identify cortical regions in which gray matter volume is influenced by genetic differences across subjects. Thickness maps, reconstructed from surface models of the cortical gray/white and gray/CSF interfaces, were smoothed with a 25 mm FWHM kernel and automatically parcellated into 34 regions of interest per hemisphere. In structural equation models fitted to volume values at each surface vertex, we computed components of variance due to additive genetic (A), shared (C) and unique (E) environmental factors, and tested their significance. Cortical regions in the vicinity of the perisylvian language cortex, and at the frontal and temporal poles, showed significant additive genetic variance, suggesting that volume measures from these regions may provide quantitative phenotypes to narrow the search for quantitative trait loci that influence brain structure.

Original language	English
Title of host publication	2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2010 - Proceedings
Publisher	IEEE Computer Society
Pages	101-104
Number of pages	4
ISBN (Print)	9781424441266
DOIs	https://doi.org/10.1109/ISBI.2010.5490405
State	Published - 2010
Externally published	Yes
Event	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010

Publication series

Name	2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Conference

Conference	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/Territory	Netherlands
City	Rotterdam
Period	14/04/10 → 17/04/10

Keywords

Brain
Cortex
Genetics
Image analysis
Magnetic resonance imaging

Access to Document

10.1109/ISBI.2010.5490405

Cite this

Joshi, A. A., Leporé, N., Joshi, S., Lee, A. D., Barysheva, M., De Zubicaray, G. I., Wright, M. J., McMahon, K. L., Toga, A. W., & Thompson, P. M. (2010). A genetic analysis of cortical thickness in 372 twins. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 101-104). Article 5490405 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/ISBI.2010.5490405

Joshi, Anand A. ; Leporé, Natasha ; Joshi, Shantanu et al. / A genetic analysis of cortical thickness in 372 twins. 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. IEEE Computer Society, 2010. pp. 101-104 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

@inproceedings{2763ff5cb6ce46109e154475db969f04,

title = "A genetic analysis of cortical thickness in 372 twins",

abstract = "Imaging genetics is a new field of neuroscience that blends methods from computational anatomy and quantitative genetics to identify genetic influences on brain structure and function. Here we analyzed brain MRI data from 372 young adult twins to identify cortical regions in which gray matter volume is influenced by genetic differences across subjects. Thickness maps, reconstructed from surface models of the cortical gray/white and gray/CSF interfaces, were smoothed with a 25 mm FWHM kernel and automatically parcellated into 34 regions of interest per hemisphere. In structural equation models fitted to volume values at each surface vertex, we computed components of variance due to additive genetic (A), shared (C) and unique (E) environmental factors, and tested their significance. Cortical regions in the vicinity of the perisylvian language cortex, and at the frontal and temporal poles, showed significant additive genetic variance, suggesting that volume measures from these regions may provide quantitative phenotypes to narrow the search for quantitative trait loci that influence brain structure.",

keywords = "Brain, Cortex, Genetics, Image analysis, Magnetic resonance imaging",

author = "Joshi, \{Anand A.\} and Natasha Lepor{\'e} and Shantanu Joshi and Lee, \{Agatha D.\} and Marina Barysheva and \{De Zubicaray\}, \{Greig I.\} and Wright, \{Margaret J.\} and McMahon, \{Katie L.\} and Toga, \{Arthur W.\} and Thompson, \{Paul M.\}",

year = "2010",

doi = "10.1109/ISBI.2010.5490405",

language = "English",

isbn = "9781424441266",

series = "2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings",

publisher = "IEEE Computer Society",

pages = "101--104",

booktitle = "2010 7th IEEE International Symposium on Biomedical Imaging",

address = "United States",

note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

}

Joshi, AA, Leporé, N, Joshi, S, Lee, AD, Barysheva, M, De Zubicaray, GI, Wright, MJ, McMahon, KL, Toga, AW & Thompson, PM 2010, A genetic analysis of cortical thickness in 372 twins. in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings., 5490405, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, IEEE Computer Society, pp. 101-104, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 14/04/10. https://doi.org/10.1109/ISBI.2010.5490405

A genetic analysis of cortical thickness in 372 twins. / Joshi, Anand A.; Leporé, Natasha; Joshi, Shantanu et al.
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. IEEE Computer Society, 2010. p. 101-104 5490405 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

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

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T1 - A genetic analysis of cortical thickness in 372 twins

AU - Joshi, Anand A.

AU - Leporé, Natasha

AU - Joshi, Shantanu

AU - Lee, Agatha D.

AU - Barysheva, Marina

AU - De Zubicaray, Greig I.

AU - Wright, Margaret J.

AU - McMahon, Katie L.

AU - Toga, Arthur W.

AU - Thompson, Paul M.

PY - 2010

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N2 - Imaging genetics is a new field of neuroscience that blends methods from computational anatomy and quantitative genetics to identify genetic influences on brain structure and function. Here we analyzed brain MRI data from 372 young adult twins to identify cortical regions in which gray matter volume is influenced by genetic differences across subjects. Thickness maps, reconstructed from surface models of the cortical gray/white and gray/CSF interfaces, were smoothed with a 25 mm FWHM kernel and automatically parcellated into 34 regions of interest per hemisphere. In structural equation models fitted to volume values at each surface vertex, we computed components of variance due to additive genetic (A), shared (C) and unique (E) environmental factors, and tested their significance. Cortical regions in the vicinity of the perisylvian language cortex, and at the frontal and temporal poles, showed significant additive genetic variance, suggesting that volume measures from these regions may provide quantitative phenotypes to narrow the search for quantitative trait loci that influence brain structure.

AB - Imaging genetics is a new field of neuroscience that blends methods from computational anatomy and quantitative genetics to identify genetic influences on brain structure and function. Here we analyzed brain MRI data from 372 young adult twins to identify cortical regions in which gray matter volume is influenced by genetic differences across subjects. Thickness maps, reconstructed from surface models of the cortical gray/white and gray/CSF interfaces, were smoothed with a 25 mm FWHM kernel and automatically parcellated into 34 regions of interest per hemisphere. In structural equation models fitted to volume values at each surface vertex, we computed components of variance due to additive genetic (A), shared (C) and unique (E) environmental factors, and tested their significance. Cortical regions in the vicinity of the perisylvian language cortex, and at the frontal and temporal poles, showed significant additive genetic variance, suggesting that volume measures from these regions may provide quantitative phenotypes to narrow the search for quantitative trait loci that influence brain structure.

KW - Brain

KW - Cortex

KW - Genetics

KW - Image analysis

KW - Magnetic resonance imaging

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DO - 10.1109/ISBI.2010.5490405

M3 - Conference contribution

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SN - 9781424441266

T3 - 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

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BT - 2010 7th IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

T2 - 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010

Y2 - 14 April 2010 through 17 April 2010

ER -

Joshi AA, Leporé N, Joshi S, Lee AD, Barysheva M, De Zubicaray GI et al. A genetic analysis of cortical thickness in 372 twins. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. IEEE Computer Society. 2010. p. 101-104. 5490405. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). doi: 10.1109/ISBI.2010.5490405

A genetic analysis of cortical thickness in 372 twins

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Keywords

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