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

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Computational Diffusion MRI (MICCAI 2019)

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

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.

Neda Jahanshad for the ENIGMA-HIV Working Group

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Acknowledgements

Funding for ENIGMA is provided as part of the BD2K Initiative U54 EB020403 to support big data analytics, and by P41 EB015922. Work from each site was funded by: (1) UCLA: K23MH095661, Clinical and Translational Research Center Grants UL1RR033176 and UL1TR000124 (ADT); MH19535 (TK); (2) Serbia: Provincial Secretariat for Higher Education and Scientific Research 114-451-2730/2016-02; (3) UNSW: NHMRC APP568746 (LC); (4) Brown and ARCH: R01MH074368, the Lifespan/Tufts/Brown Center for AIDS Research P30 AI042853, P01AA019072 (RC); (5) UCSF: K23AG032872 (VV), R01AG048234, and R01AG032289; (6) Resilience: R01MH102151 (JA). This work was also supported by R01MH085604 Neuropathogenesis of clade C HIV in South Africa.

Author information

Authors and Affiliations

  1. Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, USA

    Talia M. Nir, Hei Y. Lam, Paul M. Thompson & Neda Jahanshad

  2. HIV-NAT, Thai Red Cross AIDS Research Centre, Bangkok, Thailand

    **tanat Ananworanich

  3. Faculty of Medicine, Diagnostic Imaging Center, University of Novi Sad, Novi Sad, Serbia

    Jasmina Boban

  4. Department of Neurology, St Vincent’s Hospital, and University of New South Wales, Sydney, Australia

    Bruce J. Brew & Lucette Cysique

  5. Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa

    J. P. Fouche & Dan J. Stein

  6. Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA

    Taylor Kuhn & April Thames

  7. Institute on Aging, Department of Aging and Geriatric Research, School of Medicine, University of Florida, Gainesville, FL, USA

    Eric S. Porges, Adam J. Woods & Ronald A. Cohen

  8. Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA

    Meng Law

  9. Missouri Institute of Mental Health, University of Missouri in Saint Louis, Saint Louis, MO, USA

    Robert H. Paul

  10. Department of Psychology, University of Southern California, Los Angeles, CA, USA

    April Thames

  11. Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA

    Victor G. Valcour

  12. Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA

    Ronald A. Cohen

Authors
  1. Talia M. Nir
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  2. Hei Y. Lam
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  3. **tanat Ananworanich
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  4. Jasmina Boban
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  6. Lucette Cysique
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  7. J. P. Fouche
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  8. Taylor Kuhn
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  11. Robert H. Paul
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  12. April Thames
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  13. Adam J. Woods
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  14. Victor G. Valcour
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  15. Paul M. Thompson
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  16. Ronald A. Cohen
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  17. Dan J. Stein
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  18. Neda Jahanshad
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Corresponding author

Correspondence to Paul M. Thompson .

Editor information

Editors and Affiliations

  1. Centre for Medical Image Computing, University College London, London, UK

    Elisenda Bonet-Carne

  2. Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK

    Francesco Grussu

  3. Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Lipeng Ning

  4. Laboratory of Neuro Imaging (LONI), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA

    Farshid Sepehrband

  5. Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK

    Chantal M. W. Tax

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Nir, T.M. et al. (2019). 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, C. (eds) Computational Diffusion MRI. MICCAI 2019. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-05831-9_17

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