Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study

Claire Cury 1, 2, 3 Stanley Durrleman 4 David M. Cash 2, 3 Marco Lorenzi 5, 3 Jennifer Nicholas 2, 6 Martina Bocchetta 2 John C. Van Swieten 7 Barbara Borroni 8 Daniela Galimberti 9 Mario Masellis 10 Maria Tartaglia 11 James Rowe 12 Caroline Graff 13, 14 Fabrizio Tagliavini 15 Giovanni B. Frisoni 16 Robert Jr. Laforce 17 Elizabeth Finger 18 Alexendre De Mendonca 19 Sandro Sorbi 20 Sébastien Ourselin 3, 2, 21 Jonathan D Rohrer 2 Marc Modat 3, 2, 21
Abstract : Brain atrophy as measured from structural MR images, is one of the primary imaging biomarkers used to track neurodegenerative disease progression. In diseases such as frontotemporal dementia or Alzheimer's disease, atrophy can be observed in key brain structures years before any clinical symptoms are present. Atrophy is most commonly captured as volume change of key structures and the shape changes of these structures are typically not analysed despite being potentially more sensitive than summary volume statistics over the entire structure. In this paper we propose a spatiotemporal analysis pipeline based Large Diffeomorphic Deformation Metric Mapping (LDDMM) to detect shape changes from volumetric MRI scans. We applied our framework to a cohort of individuals with genetic variants of frontotemporal dementia and healthy controls from the Genetic FTD Initiative (GENFI) study. Our method, take full advantage of the LDDMM framework, and relies on the creation of a population specific average spatiotemporal trajectory of a relevant brain structure of interest, the thalamus in our case. The residuals from each patient data to the average spatiotemporal trajectory are then clustered and studied to assess when presymptomatic mutation carriers differ from healthy control subjects. We found statistical differences in shape in the anterior region of the thalamus at least five years before the mutation carrier subjects develop any clinical symptoms. This region of the thalamus has been shown to be predominantly connected to the frontal lobe, consistent with the pattern of cortical atrophy seen in the disease.
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https://hal.inria.fr/hal-01856906
Contributeur : Claire Cury <>
Soumis le : lundi 13 août 2018 - 16:10:24
Dernière modification le : mercredi 17 octobre 2018 - 14:31:07

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Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer Nicholas, et al.. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study. 2018. 〈hal-01856906〉

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