Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study

Talia M. Nir; Hei Y. Lam; Jintanat Ananworanich; Jasmina Boban; Bruce J. Brew; Lucette Cysique; J. P. Fouche; Taylor Kuhn; Eric S. Porges; Meng Law; Robert H. Paul; April Thames; Adam J. Woods; Victor G. Valcour; Paul M. Thompson; Ronald A. Cohen; Dan J. Stein; Neda Jahanshad

doi:10.1007/978-3-030-05831-9_17

Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study

Talia M. Nir, Hei Y. Lam, Jintanat Ananworanich, Jasmina Boban, Bruce J. Brew, Lucette Cysique, J. P. Fouche, Taylor Kuhn, Eric S. Porges, Meng Law, Robert H. Paul, April Thames, Adam J. Woods, Victor G. Valcour, Paul M. Thompson^*, Ronald A. Cohen, Dan J. Stein, Neda Jahanshad

^*Corresponding author for this work

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

3 Scopus citations

Abstract

HIV-related white matter (WM) differences reported across studies are inconsistent. This is due to clinical and demographic heterogeneity of HIV infected populations, and variations in diffusion MRI (dMRI) acquisition, processing, and analysis methods across studies. Therefore, reliable neuroanatomical consequences of infection and therapeutic targets are difficult to identify. Here, we pooled data from six existing HIV studies from around the world as part of the ENIGMA-HIV consortium to evaluate (1) the effects of harmonization of dMRI measures across sites using ComBat, and (2) whether an improved, higher-order tensor dMRI model, the tensor distribution function (TDF), and derived scalar index (FA^TDF) conferred higher sensitivity across heterogeneous sites to understand the effect of HIV on WM microstructure. This study suggests that improved dMRI indices and harmonization of these measures across cohorts, may be helpful for detecting consistent effects of disease on the brain in international multi-site studies, while preserving biological differences.

Original language	English
Title of host publication	Mathematics and Visualization
Editors	Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax
Publisher	Springer Heidelberg
Pages	203-215
Number of pages	13
ISBN (Print)	9783030058302
DOIs	https://doi.org/10.1007/978-3-030-05831-9_17
State	Published - 2019
Externally published	Yes
Event	International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain Duration: 20 Sep 2018 → 20 Sep 2018

Publication series

Name	Mathematics and Visualization
ISSN (Print)	1612-3786
ISSN (Electronic)	2197-666X

Conference

Conference	International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Country/Territory	Spain
City	Granada
Period	20/09/18 → 20/09/18

Funding

Funders	Funder number
Lifespan/Tufts/Brown Center for AIDS Research	P30 AI042853, P01AA019072
Provincial Secretariat for Higher Education and Scientific Research	114-451-2730/2016-02
University of California, Los Angeles	UL1TR000124, K23MH095661, MH19535, UL1RR033176
University of California, San Francisco	K23AG032872, R01AG032289, R01MH085604, R01MH102151, R01AG048234
National Health and Medical Research Council	R01MH074368, APP568746

Keywords

ComBat
Diffusion MRI
DTI
Harmonization
HIV
Multi-site
TDF

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-05831-9_17

Cite this

Nir, T. M., Lam, H. Y., Ananworanich, J., Boban, J., Brew, B. J., Cysique, L., Fouche, J. P., Kuhn, T., Porges, E. S., Law, M., Paul, R. H., Thames, A., Woods, A. J., Valcour, V. G., Thompson, P. M., Cohen, R. A., Stein, D. J., & Jahanshad, N. (2019). Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study. In E. Bonet-Carne, F. Grussu, L. Ning, F. Sepehrband, & C. M. W. Tax (Eds.), Mathematics and Visualization (pp. 203-215). (Mathematics and Visualization). Springer Heidelberg. https://doi.org/10.1007/978-3-030-05831-9_17

Nir, Talia M. ; Lam, Hei Y. ; Ananworanich, Jintanat et al. / Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study. Mathematics and Visualization. editor / Elisenda Bonet-Carne ; Francesco Grussu ; Lipeng Ning ; Farshid Sepehrband ; Chantal M.W. Tax. Springer Heidelberg, 2019. pp. 203-215 (Mathematics and Visualization).

@inproceedings{12b6a358487d4a958cbab4601cde937b,

title = "Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study",

abstract = "HIV-related white matter (WM) differences reported across studies are inconsistent. This is due to clinical and demographic heterogeneity of HIV infected populations, and variations in diffusion MRI (dMRI) acquisition, processing, and analysis methods across studies. Therefore, reliable neuroanatomical consequences of infection and therapeutic targets are difficult to identify. Here, we pooled data from six existing HIV studies from around the world as part of the ENIGMA-HIV consortium to evaluate (1) the effects of harmonization of dMRI measures across sites using ComBat, and (2) whether an improved, higher-order tensor dMRI model, the tensor distribution function (TDF), and derived scalar index (FATDF) conferred higher sensitivity across heterogeneous sites to understand the effect of HIV on WM microstructure. This study suggests that improved dMRI indices and harmonization of these measures across cohorts, may be helpful for detecting consistent effects of disease on the brain in international multi-site studies, while preserving biological differences.",

keywords = "ComBat, Diffusion MRI, DTI, Harmonization, HIV, Multi-site, TDF",

author = "Nir, {Talia M.} and Lam, {Hei Y.} and Jintanat Ananworanich and Jasmina Boban and Brew, {Bruce J.} and Lucette Cysique and Fouche, {J. P.} and Taylor Kuhn and Porges, {Eric S.} and Meng Law and Paul, {Robert H.} and April Thames and Woods, {Adam J.} and Valcour, {Victor G.} and Thompson, {Paul M.} and Cohen, {Ronald A.} and Stein, {Dan J.} and Neda Jahanshad",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 ; Conference date: 20-09-2018 Through 20-09-2018",

year = "2019",

doi = "10.1007/978-3-030-05831-9_17",

language = "אנגלית",

isbn = "9783030058302",

series = "Mathematics and Visualization",

publisher = "Springer Heidelberg",

pages = "203--215",

editor = "Elisenda Bonet-Carne and Francesco Grussu and Lipeng Ning and Farshid Sepehrband and Tax, {Chantal M.W.}",

booktitle = "Mathematics and Visualization",

address = "גרמניה",

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Nir, TM, Lam, HY, Ananworanich, J, Boban, J, Brew, BJ, Cysique, L, Fouche, JP, Kuhn, T, Porges, ES, Law, M, Paul, RH, Thames, A, Woods, AJ, Valcour, VG, Thompson, PM, Cohen, RA, Stein, DJ & Jahanshad, N 2019, Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study. in E Bonet-Carne, F Grussu, L Ning, F Sepehrband & CMW Tax (eds), Mathematics and Visualization. Mathematics and Visualization, Springer Heidelberg, pp. 203-215, International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 20/09/18. https://doi.org/10.1007/978-3-030-05831-9_17

Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study. / Nir, Talia M.; Lam, Hei Y.; Ananworanich, Jintanat et al.
Mathematics and Visualization. ed. / Elisenda Bonet-Carne; Francesco Grussu; Lipeng Ning; Farshid Sepehrband; Chantal M.W. Tax. Springer Heidelberg, 2019. p. 203-215 (Mathematics and Visualization).

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

TY - GEN

T1 - Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study

AU - Nir, Talia M.

AU - Lam, Hei Y.

AU - Ananworanich, Jintanat

AU - Boban, Jasmina

AU - Brew, Bruce J.

AU - Cysique, Lucette

AU - Fouche, J. P.

AU - Kuhn, Taylor

AU - Porges, Eric S.

AU - Law, Meng

AU - Paul, Robert H.

AU - Thames, April

AU - Woods, Adam J.

AU - Valcour, Victor G.

AU - Thompson, Paul M.

AU - Cohen, Ronald A.

AU - Stein, Dan J.

AU - Jahanshad, Neda

PY - 2019

Y1 - 2019

N2 - HIV-related white matter (WM) differences reported across studies are inconsistent. This is due to clinical and demographic heterogeneity of HIV infected populations, and variations in diffusion MRI (dMRI) acquisition, processing, and analysis methods across studies. Therefore, reliable neuroanatomical consequences of infection and therapeutic targets are difficult to identify. Here, we pooled data from six existing HIV studies from around the world as part of the ENIGMA-HIV consortium to evaluate (1) the effects of harmonization of dMRI measures across sites using ComBat, and (2) whether an improved, higher-order tensor dMRI model, the tensor distribution function (TDF), and derived scalar index (FATDF) conferred higher sensitivity across heterogeneous sites to understand the effect of HIV on WM microstructure. This study suggests that improved dMRI indices and harmonization of these measures across cohorts, may be helpful for detecting consistent effects of disease on the brain in international multi-site studies, while preserving biological differences.

AB - HIV-related white matter (WM) differences reported across studies are inconsistent. This is due to clinical and demographic heterogeneity of HIV infected populations, and variations in diffusion MRI (dMRI) acquisition, processing, and analysis methods across studies. Therefore, reliable neuroanatomical consequences of infection and therapeutic targets are difficult to identify. Here, we pooled data from six existing HIV studies from around the world as part of the ENIGMA-HIV consortium to evaluate (1) the effects of harmonization of dMRI measures across sites using ComBat, and (2) whether an improved, higher-order tensor dMRI model, the tensor distribution function (TDF), and derived scalar index (FATDF) conferred higher sensitivity across heterogeneous sites to understand the effect of HIV on WM microstructure. This study suggests that improved dMRI indices and harmonization of these measures across cohorts, may be helpful for detecting consistent effects of disease on the brain in international multi-site studies, while preserving biological differences.

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KW - Diffusion MRI

KW - DTI

KW - Harmonization

KW - HIV

KW - Multi-site

KW - TDF

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PB - Springer Heidelberg

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ER -

Nir TM, Lam HY, Ananworanich J, Boban J, Brew BJ, Cysique L et al. Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study. In Bonet-Carne E, Grussu F, Ning L, Sepehrband F, Tax CMW, editors, Mathematics and Visualization. Springer Heidelberg. 2019. p. 203-215. (Mathematics and Visualization). doi: 10.1007/978-3-030-05831-9_17

Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

Access to Document

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