期刊
COMPUTATIONAL DIFFUSION MRI (CDMRI 2018)
卷 -, 期 -, 页码 203-215出版社
SPRINGER-VERLAG BERLIN
DOI: 10.1007/978-3-030-05831-9_17
关键词
HIV; Multi-site; Harmonization; TDF; Diffusion MRI; ComBat; DTI
类别
资金
- BD2K Initiative [U54 EB020403, P41 EB015922, K23MH095661]
- Clinical and Translational Research Center Grants [UCLA: K23MH095661, UL1RR033176, UL1TR000124]
- Serbia: Provincial Secretariat for Higher Education and Scientific Research [114-451-2730/2016-02]
- Brown and ARCH [R01MH074368]
- Lifespan/Tufts/Brown Center for AIDS Research [P30 AI042853, P01AA019072]
- [MH19535]
- [UNSW: NHMRCAPP568746]
- [UCSF: K23AG032872]
- [R01AG048234]
- [R01AG032289]
- [R01MH102151]
- [R01MH085604]
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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