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Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration

INTRODUCTION: Longitudinal imaging of neurodegenerative disorders is a potentially powerful biomarker for use in clinical trials. In Alzheimer's disease, studies have demonstrated that empirically derived regions of interest (ROIs) can provide more reliable measurement of disease progression co...

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Autores principales: Binney, Richard J., Pankov, Aleksandr, Marx, Gabriel, He, Xuanzie, McKenna, Faye, Staffaroni, Adam M., Kornak, John, Attygalle, Suneth, Boxer, Adam L., Schuff, Norbert, Gorno‐Tempini, Maria‐Luisa, Weiner, Michael W., Kramer, Joel H., Miller, Bruce L., Rosen, Howard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390848/
https://www.ncbi.nlm.nih.gov/pubmed/28413716
http://dx.doi.org/10.1002/brb3.675
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author Binney, Richard J.
Pankov, Aleksandr
Marx, Gabriel
He, Xuanzie
McKenna, Faye
Staffaroni, Adam M.
Kornak, John
Attygalle, Suneth
Boxer, Adam L.
Schuff, Norbert
Gorno‐Tempini, Maria‐Luisa
Weiner, Michael W.
Kramer, Joel H.
Miller, Bruce L.
Rosen, Howard J.
author_facet Binney, Richard J.
Pankov, Aleksandr
Marx, Gabriel
He, Xuanzie
McKenna, Faye
Staffaroni, Adam M.
Kornak, John
Attygalle, Suneth
Boxer, Adam L.
Schuff, Norbert
Gorno‐Tempini, Maria‐Luisa
Weiner, Michael W.
Kramer, Joel H.
Miller, Bruce L.
Rosen, Howard J.
author_sort Binney, Richard J.
collection PubMed
description INTRODUCTION: Longitudinal imaging of neurodegenerative disorders is a potentially powerful biomarker for use in clinical trials. In Alzheimer's disease, studies have demonstrated that empirically derived regions of interest (ROIs) can provide more reliable measurement of disease progression compared with anatomically defined ROIs. METHODS: We set out to derive ROIs with optimal effect size for quantifying longitudinal change in a hypothetical clinical trial by comparing atrophy rates in 44 patients with behavioral variant of frontotemporal dementia (bvFTD), 30 with the semantic variant primary progressive aphasia (svPPA), and 26 with the nonfluent variant PPA (nfvPPA) to atrophy in 97 cognitively healthy controls. RESULTS: The regions identified for each variant were generally what would be expected from prior studies of frontotemporal lobar degeneration (FTLD). Sample size estimates for detecting a 40% reduction in annual rate of ROI atrophy varied substantially across groups, being 103 per arm in bvFTD, 31 in nfvPPA, and 10 in svPPA, but in all groups were less than those estimated for a priori ROIs and clinical measures. The variability in location of peak regions of atrophy across individuals was highest in bvFTD and lowest in svPPA, likely relating to the differences in effect size. CONCLUSIONS: These findings suggest that, while cross‐validated maps of change can improve sensitivity to change in FTLD compared with a priori regions, the reliability of these maps differs considerably across syndromes. Future studies can utilize these maps to design clinical trials, and should try to identify factors accounting for the variability in patterns of atrophy across individuals, particularly those with bvFTD.
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spelling pubmed-53908482017-04-14 Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration Binney, Richard J. Pankov, Aleksandr Marx, Gabriel He, Xuanzie McKenna, Faye Staffaroni, Adam M. Kornak, John Attygalle, Suneth Boxer, Adam L. Schuff, Norbert Gorno‐Tempini, Maria‐Luisa Weiner, Michael W. Kramer, Joel H. Miller, Bruce L. Rosen, Howard J. Brain Behav Original Research INTRODUCTION: Longitudinal imaging of neurodegenerative disorders is a potentially powerful biomarker for use in clinical trials. In Alzheimer's disease, studies have demonstrated that empirically derived regions of interest (ROIs) can provide more reliable measurement of disease progression compared with anatomically defined ROIs. METHODS: We set out to derive ROIs with optimal effect size for quantifying longitudinal change in a hypothetical clinical trial by comparing atrophy rates in 44 patients with behavioral variant of frontotemporal dementia (bvFTD), 30 with the semantic variant primary progressive aphasia (svPPA), and 26 with the nonfluent variant PPA (nfvPPA) to atrophy in 97 cognitively healthy controls. RESULTS: The regions identified for each variant were generally what would be expected from prior studies of frontotemporal lobar degeneration (FTLD). Sample size estimates for detecting a 40% reduction in annual rate of ROI atrophy varied substantially across groups, being 103 per arm in bvFTD, 31 in nfvPPA, and 10 in svPPA, but in all groups were less than those estimated for a priori ROIs and clinical measures. The variability in location of peak regions of atrophy across individuals was highest in bvFTD and lowest in svPPA, likely relating to the differences in effect size. CONCLUSIONS: These findings suggest that, while cross‐validated maps of change can improve sensitivity to change in FTLD compared with a priori regions, the reliability of these maps differs considerably across syndromes. Future studies can utilize these maps to design clinical trials, and should try to identify factors accounting for the variability in patterns of atrophy across individuals, particularly those with bvFTD. John Wiley and Sons Inc. 2017-03-23 /pmc/articles/PMC5390848/ /pubmed/28413716 http://dx.doi.org/10.1002/brb3.675 Text en © 2017 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Binney, Richard J.
Pankov, Aleksandr
Marx, Gabriel
He, Xuanzie
McKenna, Faye
Staffaroni, Adam M.
Kornak, John
Attygalle, Suneth
Boxer, Adam L.
Schuff, Norbert
Gorno‐Tempini, Maria‐Luisa
Weiner, Michael W.
Kramer, Joel H.
Miller, Bruce L.
Rosen, Howard J.
Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
title Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
title_full Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
title_fullStr Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
title_full_unstemmed Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
title_short Data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
title_sort data‐driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390848/
https://www.ncbi.nlm.nih.gov/pubmed/28413716
http://dx.doi.org/10.1002/brb3.675
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