Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782521543345045504 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5390848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT binneyrichardj datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT pankovaleksandr datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT marxgabriel datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT hexuanzie datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT mckennafaye datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT staffaroniadamm datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT kornakjohn datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT attygallesuneth datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT boxeradaml datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT schuffnorbert datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT gornotempinimarialuisa datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT weinermichaelw datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT kramerjoelh datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT millerbrucel datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration AT rosenhowardj datadrivenregionsofinterestforlongitudinalchangeinthreevariantsoffrontotemporallobardegeneration |