Abstract #2200
Reduced Neurite Density in Pre-manifest Huntingtons Disease Population detected by NODDI
Jiaying Zhang 1 , Rachael I Scahill 2 , Alexandra Durr 3 , Blair Leavitt 4 , Raymund Roos 5 , Sarah J Tabrizi 2 , and Hui Zhang 1
1
Department of Computer Science and Centre
for Medical Image Computing, UCL, London, United
Kingdom,
2
Institute
of Neurology, UCL, London, United Kingdom,
3
Department
of Genetics and Cytogenetics, INSERM UMR S679, APHP
Hpital de la Salptrire, Paris, France,
4
Department
of Medical Genetics, University of British Columbia,
British Columbia, Canada,
5
Department
of Neurology, Leiden University Medical Centre, Leiden,
Netherlands
The early detection of microstructural abnormalities in
pre-manifest Huntingtons disease (pre-HD) population is
important for the development of suitable biomarkers for
clinical trials as well as inform future therapeutic
strategy. Although tissue microstructure has
traditionally been quantified with DTI, more advanced
techniques such as NODDI are now available which may
provide more specific measures. This study tests this
hypothesis in pre-HD. We find that, compared to DTI,
NODDI findings are not only more specific, revealing
widespread reductions in neurite density, but also more
sensitive, detecting more extensive and more
statistically significant differences.
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