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Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study

PURPOSE: MRI has become an essential tool for prion disease diagnosis. However there exist only a few serial MRI studies of prion patients, and these mostly used whole brain summary measures or region of interest based approaches. We present here the first longitudinal voxel-based morphometry (VBM)...

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Autores principales: De Vita, Enrico, Ridgway, Gerard R, White, Mark J, Porter, Marie-Claire, Caine, Diana, Rudge, Peter, Collinge, John, Yousry, Tarek A, Jager, Hans Rolf, Mead, Simon, Thornton, John S, Hyare, Harpreet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133666/
https://www.ncbi.nlm.nih.gov/pubmed/27942451
http://dx.doi.org/10.1016/j.nicl.2016.10.021
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author De Vita, Enrico
Ridgway, Gerard R
White, Mark J
Porter, Marie-Claire
Caine, Diana
Rudge, Peter
Collinge, John
Yousry, Tarek A
Jager, Hans Rolf
Mead, Simon
Thornton, John S
Hyare, Harpreet
author_facet De Vita, Enrico
Ridgway, Gerard R
White, Mark J
Porter, Marie-Claire
Caine, Diana
Rudge, Peter
Collinge, John
Yousry, Tarek A
Jager, Hans Rolf
Mead, Simon
Thornton, John S
Hyare, Harpreet
author_sort De Vita, Enrico
collection PubMed
description PURPOSE: MRI has become an essential tool for prion disease diagnosis. However there exist only a few serial MRI studies of prion patients, and these mostly used whole brain summary measures or region of interest based approaches. We present here the first longitudinal voxel-based morphometry (VBM) study in prion disease. The aim of this study was to systematically characterise progressive atrophy in patients with prion disease and identify whether atrophy in specific brain structures correlates with clinical assessment. METHODS: Twenty-four prion disease patients with early stage disease (3 sporadic, 2 iatrogenic, 1 variant and 18 inherited CJD) and 25 controls were examined at 3T with a T1-weighted 3D MPRAGE sequence at multiple time-points (2–6 examinations per subject, interval range 0.1–3.2 years). Longitudinal VBM provided intra-subject and inter-subject image alignment, allowing voxel-wise comparison of progressive structural change. Clinical disease progression was assessed using the MRC Prion Disease Rating Scale. Firstly, in patients, we determined the brain regions where grey and white matter volume change between baseline and final examination correlated with the corresponding change in MRC Scale score. Secondly, in the 21/24 patients with interscan interval longer than 3 months, we identified regions where annualised rates of regional volume change in patients were different from rates in age-matched controls. Given the heterogeneity of the cohort, the regions identified reflect the common features of the different prion sub-types studied. RESULTS: In the patients there were multiple regions where volume loss significantly correlated with decreased MRC scale, partially overlapping with anatomical regions where yearly rates of volume loss were significantly greater than controls. The key anatomical areas involved included: the basal ganglia and thalamus, pons and medulla, the hippocampal formation and the superior parietal lobules. There were no areas demonstrating volume loss significantly higher in controls than patients or negative correlation between volume and MRC Scale score. CONCLUSIONS: Using 3T MRI and longitudinal VBM we have identified key anatomical regions of progressive volume loss which correlate with an established clinical disease severity index and are relevant to clinical deterioration. Localisation of the regions of progressive brain atrophy correlating most strongly with clinical decline may help to provide more targeted imaging endpoints for future clinical trials.
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spelling pubmed-51336662016-12-09 Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study De Vita, Enrico Ridgway, Gerard R White, Mark J Porter, Marie-Claire Caine, Diana Rudge, Peter Collinge, John Yousry, Tarek A Jager, Hans Rolf Mead, Simon Thornton, John S Hyare, Harpreet Neuroimage Clin Regular Article PURPOSE: MRI has become an essential tool for prion disease diagnosis. However there exist only a few serial MRI studies of prion patients, and these mostly used whole brain summary measures or region of interest based approaches. We present here the first longitudinal voxel-based morphometry (VBM) study in prion disease. The aim of this study was to systematically characterise progressive atrophy in patients with prion disease and identify whether atrophy in specific brain structures correlates with clinical assessment. METHODS: Twenty-four prion disease patients with early stage disease (3 sporadic, 2 iatrogenic, 1 variant and 18 inherited CJD) and 25 controls were examined at 3T with a T1-weighted 3D MPRAGE sequence at multiple time-points (2–6 examinations per subject, interval range 0.1–3.2 years). Longitudinal VBM provided intra-subject and inter-subject image alignment, allowing voxel-wise comparison of progressive structural change. Clinical disease progression was assessed using the MRC Prion Disease Rating Scale. Firstly, in patients, we determined the brain regions where grey and white matter volume change between baseline and final examination correlated with the corresponding change in MRC Scale score. Secondly, in the 21/24 patients with interscan interval longer than 3 months, we identified regions where annualised rates of regional volume change in patients were different from rates in age-matched controls. Given the heterogeneity of the cohort, the regions identified reflect the common features of the different prion sub-types studied. RESULTS: In the patients there were multiple regions where volume loss significantly correlated with decreased MRC scale, partially overlapping with anatomical regions where yearly rates of volume loss were significantly greater than controls. The key anatomical areas involved included: the basal ganglia and thalamus, pons and medulla, the hippocampal formation and the superior parietal lobules. There were no areas demonstrating volume loss significantly higher in controls than patients or negative correlation between volume and MRC Scale score. CONCLUSIONS: Using 3T MRI and longitudinal VBM we have identified key anatomical regions of progressive volume loss which correlate with an established clinical disease severity index and are relevant to clinical deterioration. Localisation of the regions of progressive brain atrophy correlating most strongly with clinical decline may help to provide more targeted imaging endpoints for future clinical trials. Elsevier 2016-11-02 /pmc/articles/PMC5133666/ /pubmed/27942451 http://dx.doi.org/10.1016/j.nicl.2016.10.021 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
De Vita, Enrico
Ridgway, Gerard R
White, Mark J
Porter, Marie-Claire
Caine, Diana
Rudge, Peter
Collinge, John
Yousry, Tarek A
Jager, Hans Rolf
Mead, Simon
Thornton, John S
Hyare, Harpreet
Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study
title Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study
title_full Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study
title_fullStr Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study
title_full_unstemmed Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study
title_short Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study
title_sort neuroanatomical correlates of prion disease progression - a 3t longitudinal voxel-based morphometry study
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133666/
https://www.ncbi.nlm.nih.gov/pubmed/27942451
http://dx.doi.org/10.1016/j.nicl.2016.10.021
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