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

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Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration. / Binney, Richard J; Pankov, Aleksandr; Marx, Gabriel et al.
Yn: Brain and behavior, Cyfrol 7, Rhif 4, 12.04.2017, t. e00675.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Binney, RJ, Pankov, A, Marx, G, He, X, McKenna, F, Staffaroni, AM, Kornak, J, Attygalle, S, Boxer, AL, Schuff, N, Gorno-Tempini, ML, Weiner, MW, Kramer, JH, Miller, BL & Rosen, HJ 2017, 'Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration', Brain and behavior, cyfrol. 7, rhif 4, tt. e00675. https://doi.org/10.1002/brb3.675

APA

Binney, R. J., Pankov, A., Marx, G., He, X., McKenna, F., Staffaroni, A. M., Kornak, J., Attygalle, S., Boxer, A. L., Schuff, N., Gorno-Tempini, M. L., Weiner, M. W., Kramer, J. H., Miller, B. L., & Rosen, H. J. (2017). Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration. Brain and behavior, 7(4), e00675. https://doi.org/10.1002/brb3.675

CBE

Binney RJ, Pankov A, Marx G, He X, McKenna F, Staffaroni AM, Kornak J, Attygalle S, Boxer AL, Schuff N, et al. 2017. Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration. Brain and behavior. 7(4):e00675. https://doi.org/10.1002/brb3.675

MLA

VancouverVancouver

Binney RJ, Pankov A, Marx G, He X, McKenna F, Staffaroni AM et al. Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration. Brain and behavior. 2017 Ebr 12;7(4):e00675. Epub 2017 Maw 23. doi: 10.1002/brb3.675

Author

Binney, Richard J ; Pankov, Aleksandr ; Marx, Gabriel et al. / Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration. Yn: Brain and behavior. 2017 ; Cyfrol 7, Rhif 4. tt. e00675.

RIS

TY - JOUR

T1 - Data-driven regions of interest for longitudinal change in three variants of frontotemporal lobar degeneration

AU - Binney, Richard J

AU - Pankov, Aleksandr

AU - Marx, Gabriel

AU - He, Xuanzie

AU - McKenna, Faye

AU - Staffaroni, Adam M

AU - Kornak, John

AU - Attygalle, Suneth

AU - Boxer, Adam L

AU - Schuff, Norbert

AU - Gorno-Tempini, Maria Luisa

AU - Weiner, Michael W

AU - Kramer, Joel H

AU - Miller, Bruce L

AU - Rosen, Howard J

N1 - National Science Foundation, Grant/Award Number: 1144247; National Institute of General Medical Sciences, Grant/Award Number: T32GM067547; National Institutes of Health, Grant/Award Number: AG045333, AG032306, U54NS092089, R01AG038791, AG019724 and AG023501

PY - 2017/4/12

Y1 - 2017/4/12

N2 - 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.

AB - 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.

KW - frontotemporal dementia

KW - longitudinal studies

KW - magnetic resonance imaging

KW - primary progressive aphasia

U2 - 10.1002/brb3.675

DO - 10.1002/brb3.675

M3 - Article

C2 - 28413716

VL - 7

SP - e00675

JO - Brain and behavior

JF - Brain and behavior

SN - 2157-9032

IS - 4

ER -