Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions

J. E. Villalon-Reina; T. M. Nir; L. Zhan; K. L. McMahon; G. I. de Zubicaray; M. J. Wright; N. Jahanshad; P. M. Thompson

doi:10.1007/978-3-319-28588-7_19

Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions

J. E. Villalon-Reina
, T. M. Nir
, L. Zhan
, K. L. McMahon
, G. I. de Zubicaray
, M. J. Wright
, N. Jahanshad
, P. M. Thompson

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

2 Scopus citations

Abstract

Diffusion magnetic resonance imaging (dMRI) has had a great impact on the study of the human brain connectome. Tractography methods allow for the reconstruction of white matter fiber tracts and bundles across the brain, by tracing the estimated direction of water diffusion across neighboring voxels. The tracts can then be used in conjunction with cortical parcellations to create structural connectivity matrices, to map the pattern and distribution of connections between cortical regions. However, the reliability of connectivity matrices is unclear. Tractography results depend on image resolution, and some reconstruction methods used to resolve the voxel-wise microstructure may be more robust to changes in resolution than others, leading to more stable connectivity estimates. We examined the reliability of structural connectivity matrices in 20 healthy young adults imaged with both high and low-resolution dMRI at two time points. We found that the Constrained Spherical Deconvolution (CSD) model produces the most reliable connections for both lower resolution and high resolution scans.

Original language	English
Title of host publication	Computational Diffusion MRI - MICCAI Workshop, 2015
Editors	Yogesh Rathi, Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Marco Reisert
Publisher	Springer Heidelberg
Pages	219-231
Number of pages	13
ISBN (Print)	9783319285863
DOIs	https://doi.org/10.1007/978-3-319-28588-7_19
State	Published - 2016
Externally published	Yes
Event	Workshop on Computational Diffusion MRI, MICCAI 2015 - Munich, Germany Duration: 9 Oct 2015 → 9 Oct 2015

Publication series

Name	Mathematics and Visualization
Volume	none
ISSN (Print)	1612-3786
ISSN (Electronic)	2197-666X

Conference

Conference	Workshop on Computational Diffusion MRI, MICCAI 2015
Country/Territory	Germany
City	Munich
Period	9/10/15 → 9/10/15

Access to Document

10.1007/978-3-319-28588-7_19

Cite this

Villalon-Reina, J. E., Nir, T. M., Zhan, L., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., Jahanshad, N., & Thompson, P. M. (2016). Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions. In Y. Rathi, A. Fuster, A. Ghosh, E. Kaden, & M. Reisert (Eds.), Computational Diffusion MRI - MICCAI Workshop, 2015 (pp. 219-231). (Mathematics and Visualization; Vol. none). Springer Heidelberg. https://doi.org/10.1007/978-3-319-28588-7_19

Villalon-Reina, J. E. ; Nir, T. M. ; Zhan, L. et al. / Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions. Computational Diffusion MRI - MICCAI Workshop, 2015. editor / Yogesh Rathi ; Andrea Fuster ; Aurobrata Ghosh ; Enrico Kaden ; Marco Reisert. Springer Heidelberg, 2016. pp. 219-231 (Mathematics and Visualization).

@inproceedings{10479be48c234988b06fca7551191708,

title = "Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions",

abstract = "Diffusion magnetic resonance imaging (dMRI) has had a great impact on the study of the human brain connectome. Tractography methods allow for the reconstruction of white matter fiber tracts and bundles across the brain, by tracing the estimated direction of water diffusion across neighboring voxels. The tracts can then be used in conjunction with cortical parcellations to create structural connectivity matrices, to map the pattern and distribution of connections between cortical regions. However, the reliability of connectivity matrices is unclear. Tractography results depend on image resolution, and some reconstruction methods used to resolve the voxel-wise microstructure may be more robust to changes in resolution than others, leading to more stable connectivity estimates. We examined the reliability of structural connectivity matrices in 20 healthy young adults imaged with both high and low-resolution dMRI at two time points. We found that the Constrained Spherical Deconvolution (CSD) model produces the most reliable connections for both lower resolution and high resolution scans.",

author = "Villalon-Reina, \{J. E.\} and Nir, \{T. M.\} and L. Zhan and McMahon, \{K. L.\} and \{de Zubicaray\}, \{G. I.\} and Wright, \{M. J.\} and N. Jahanshad and Thompson, \{P. M.\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; Workshop on Computational Diffusion MRI, MICCAI 2015 ; Conference date: 09-10-2015 Through 09-10-2015",

year = "2016",

doi = "10.1007/978-3-319-28588-7\_19",

language = "English",

isbn = "9783319285863",

series = "Mathematics and Visualization",

publisher = "Springer Heidelberg",

pages = "219--231",

editor = "Yogesh Rathi and Andrea Fuster and Aurobrata Ghosh and Enrico Kaden and Marco Reisert",

booktitle = "Computational Diffusion MRI - MICCAI Workshop, 2015",

address = "Germany",

}

Villalon-Reina, JE, Nir, TM, Zhan, L, McMahon, KL, de Zubicaray, GI, Wright, MJ, Jahanshad, N & Thompson, PM 2016, Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions. in Y Rathi, A Fuster, A Ghosh, E Kaden & M Reisert (eds), Computational Diffusion MRI - MICCAI Workshop, 2015. Mathematics and Visualization, vol. none, Springer Heidelberg, pp. 219-231, Workshop on Computational Diffusion MRI, MICCAI 2015, Munich, Germany, 9/10/15. https://doi.org/10.1007/978-3-319-28588-7_19

Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions. / Villalon-Reina, J. E.; Nir, T. M.; Zhan, L. et al.
Computational Diffusion MRI - MICCAI Workshop, 2015. ed. / Yogesh Rathi; Andrea Fuster; Aurobrata Ghosh; Enrico Kaden; Marco Reisert. Springer Heidelberg, 2016. p. 219-231 (Mathematics and Visualization; Vol. none).

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

TY - GEN

T1 - Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions

AU - Villalon-Reina, J. E.

AU - Nir, T. M.

AU - Zhan, L.

AU - McMahon, K. L.

AU - de Zubicaray, G. I.

AU - Wright, M. J.

AU - Jahanshad, N.

AU - Thompson, P. M.

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Diffusion magnetic resonance imaging (dMRI) has had a great impact on the study of the human brain connectome. Tractography methods allow for the reconstruction of white matter fiber tracts and bundles across the brain, by tracing the estimated direction of water diffusion across neighboring voxels. The tracts can then be used in conjunction with cortical parcellations to create structural connectivity matrices, to map the pattern and distribution of connections between cortical regions. However, the reliability of connectivity matrices is unclear. Tractography results depend on image resolution, and some reconstruction methods used to resolve the voxel-wise microstructure may be more robust to changes in resolution than others, leading to more stable connectivity estimates. We examined the reliability of structural connectivity matrices in 20 healthy young adults imaged with both high and low-resolution dMRI at two time points. We found that the Constrained Spherical Deconvolution (CSD) model produces the most reliable connections for both lower resolution and high resolution scans.

AB - Diffusion magnetic resonance imaging (dMRI) has had a great impact on the study of the human brain connectome. Tractography methods allow for the reconstruction of white matter fiber tracts and bundles across the brain, by tracing the estimated direction of water diffusion across neighboring voxels. The tracts can then be used in conjunction with cortical parcellations to create structural connectivity matrices, to map the pattern and distribution of connections between cortical regions. However, the reliability of connectivity matrices is unclear. Tractography results depend on image resolution, and some reconstruction methods used to resolve the voxel-wise microstructure may be more robust to changes in resolution than others, leading to more stable connectivity estimates. We examined the reliability of structural connectivity matrices in 20 healthy young adults imaged with both high and low-resolution dMRI at two time points. We found that the Constrained Spherical Deconvolution (CSD) model produces the most reliable connections for both lower resolution and high resolution scans.

UR - https://www.scopus.com/pages/publications/84964070427

U2 - 10.1007/978-3-319-28588-7_19

DO - 10.1007/978-3-319-28588-7_19

M3 - Conference contribution

AN - SCOPUS:84964070427

SN - 9783319285863

T3 - Mathematics and Visualization

SP - 219

EP - 231

BT - Computational Diffusion MRI - MICCAI Workshop, 2015

A2 - Rathi, Yogesh

A2 - Fuster, Andrea

A2 - Ghosh, Aurobrata

A2 - Kaden, Enrico

A2 - Reisert, Marco

PB - Springer Heidelberg

T2 - Workshop on Computational Diffusion MRI, MICCAI 2015

Y2 - 9 October 2015 through 9 October 2015

ER -

Villalon-Reina JE, Nir TM, Zhan L, McMahon KL, de Zubicaray GI, Wright MJ et al. Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions. In Rathi Y, Fuster A, Ghosh A, Kaden E, Reisert M, editors, Computational Diffusion MRI - MICCAI Workshop, 2015. Springer Heidelberg. 2016. p. 219-231. (Mathematics and Visualization). doi: 10.1007/978-3-319-28588-7_19

Reliability of structural connectivity examined with four different diffusion reconstruction methods at two different spatial and angular resolutions

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