Robust MR-based approaches to quantifying white matter structure and structure/function alterations in Huntington's disease
Steventon, Jessica J., Trueman, Rebecca C., Rosser, Anne E. and Jones, Derek Kenton. (2016) Robust MR-based approaches to quantifying white matter structure and structure/function alterations in Huntington's disease. Journal of Neuroscience Methods. 265, pp. 2 - 12. https://doi.org/10.1016/j.jneumeth.2015.08.027
|Authors||Steventon, Jessica J., Trueman, Rebecca C., Rosser, Anne E. and Jones, Derek Kenton|
Background: Huge advances have been made in understanding and addressing confounds in diffusion MRI data to quantify white matter microstructure. However, there has been a lag in applying these advances in clinical research. Some confounds are more pronounced in HD which impedes data quality and interpretability of patient-control differences. This study presents an optimised analysis pipeline and addresses specific confounds in a HD patient cohort. Method: 15 HD gene-positive and 13 matched control participants were scanned on a 3T MRI system with two diffusion MRI sequences. An optimised post processing pipeline included motion, eddy current and EPI correction, rotation of the B matrix, free water elimination ( FWE ) and tractography analysis using an algorithm capable of reconstructing crossing fibres. The corpus callosum was examined using both a region-of-interest and a deterministic tractography approach, using both conventional diffusion tensor imaging ( DTI )-based and spherical deconvolution analyses. Results: Correcting for CSF contamination significantly altered microstructural metrics and the detection of group differences. Reconstructing the corpus callosum using spherical deconvolution produced a more complete reconstruction with greater sensitivity to group differences, compared to DTI-based tractography. Tissue volume fraction ( TVF ) was reduced in HD participants and was more sensitive to disease burden compared to DTI metrics. Conclusion: Addressing confounds in diffusion MR data results in more valid, anatomically faithful white matter tract reconstructions with reduced within-group variance. TVF is recommended as a complementary metric, providing insight into the relationship with clinical symptoms in HD not fully captured by conventional DTI metrics.
|Keywords||diffusion MRI; Huntington's disease; tractography; corpus callosum; disease burden; DTI|
|Journal||Journal of Neuroscience Methods|
|Journal citation||265, pp. 2 - 12|
|Digital Object Identifier (DOI)||https://doi.org/10.1016/j.jneumeth.2015.08.027|
|Open access||Open access|
|Page range||2 - 12|
|Research Group||School of Philosophy|
© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
|Place of publication||Netherlands|
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