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spelling paper:paper_10659471_v38_n8_p3804_Sedeno2023-06-08T16:04:15Z Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia biomarkers frontotemporal dementia functional connectivity graph-theory and neurodegenerative diseases adult Article brain mapping controlled study diagnostic test accuracy study disease control female frontal variant frontotemporal dementia functional connectivity functional magnetic resonance imaging gold standard human major clinical study male middle aged multicenter study neuroimaging nuclear magnetic resonance scanner posterior cingulate priority journal resting state network sensitivity and specificity single photon emission computed tomography voxel based morphometry Biomarkers represent a critical research area in neurodegeneration disease as they can contribute to studying potential disease-modifying agents, fostering timely therapeutic interventions, and alleviating associated financial costs. Functional connectivity (FC) analysis represents a promising approach to identify early biomarkers in specific diseases. Yet, virtually no study has tested whether potential FC biomarkers prove to be reliable and reproducible across different centers. As such, their implementation remains uncertain due to multiple sources of variability across studies: the numerous international centers capable conducting FC research vary in their scanning equipment and their samples’ socio-cultural background, and, more troublingly still, no gold-standard method exists to analyze FC. In this unprecedented study, we aim to address both issues by performing the first multicenter FC research in the behavioral-variant frontotemporal dementia (bvFTD), and by assessing multiple FC approaches to propose a gold-standard method for analysis. We enrolled 52 bvFTD patients and 60 controls from three international clinics (with different fMRI recording parameters), and three additional neurological patient groups. To evaluate FC, we focused on seed analysis, inter-regional connectivity, and several graph-theory approaches. Only graph-theory analysis, based on weighted-matrices, yielded consistent differences between bvFTD and controls across centers. Also, graph metrics robustly discriminated bvFTD from the other neurological conditions. The consistency of our findings across heterogeneous contexts highlights graph-theory as a potential gold-standard approach for brain network analysis in bvFTD. Hum Brain Mapp 38:3804–3822, 2017. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10659471_v38_n8_p3804_Sedeno http://hdl.handle.net/20.500.12110/paper_10659471_v38_n8_p3804_Sedeno
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic biomarkers
frontotemporal dementia
functional connectivity
graph-theory and neurodegenerative diseases
adult
Article
brain mapping
controlled study
diagnostic test accuracy study
disease control
female
frontal variant frontotemporal dementia
functional connectivity
functional magnetic resonance imaging
gold standard
human
major clinical study
male
middle aged
multicenter study
neuroimaging
nuclear magnetic resonance scanner
posterior cingulate
priority journal
resting state network
sensitivity and specificity
single photon emission computed tomography
voxel based morphometry
spellingShingle biomarkers
frontotemporal dementia
functional connectivity
graph-theory and neurodegenerative diseases
adult
Article
brain mapping
controlled study
diagnostic test accuracy study
disease control
female
frontal variant frontotemporal dementia
functional connectivity
functional magnetic resonance imaging
gold standard
human
major clinical study
male
middle aged
multicenter study
neuroimaging
nuclear magnetic resonance scanner
posterior cingulate
priority journal
resting state network
sensitivity and specificity
single photon emission computed tomography
voxel based morphometry
Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia
topic_facet biomarkers
frontotemporal dementia
functional connectivity
graph-theory and neurodegenerative diseases
adult
Article
brain mapping
controlled study
diagnostic test accuracy study
disease control
female
frontal variant frontotemporal dementia
functional connectivity
functional magnetic resonance imaging
gold standard
human
major clinical study
male
middle aged
multicenter study
neuroimaging
nuclear magnetic resonance scanner
posterior cingulate
priority journal
resting state network
sensitivity and specificity
single photon emission computed tomography
voxel based morphometry
description Biomarkers represent a critical research area in neurodegeneration disease as they can contribute to studying potential disease-modifying agents, fostering timely therapeutic interventions, and alleviating associated financial costs. Functional connectivity (FC) analysis represents a promising approach to identify early biomarkers in specific diseases. Yet, virtually no study has tested whether potential FC biomarkers prove to be reliable and reproducible across different centers. As such, their implementation remains uncertain due to multiple sources of variability across studies: the numerous international centers capable conducting FC research vary in their scanning equipment and their samples’ socio-cultural background, and, more troublingly still, no gold-standard method exists to analyze FC. In this unprecedented study, we aim to address both issues by performing the first multicenter FC research in the behavioral-variant frontotemporal dementia (bvFTD), and by assessing multiple FC approaches to propose a gold-standard method for analysis. We enrolled 52 bvFTD patients and 60 controls from three international clinics (with different fMRI recording parameters), and three additional neurological patient groups. To evaluate FC, we focused on seed analysis, inter-regional connectivity, and several graph-theory approaches. Only graph-theory analysis, based on weighted-matrices, yielded consistent differences between bvFTD and controls across centers. Also, graph metrics robustly discriminated bvFTD from the other neurological conditions. The consistency of our findings across heterogeneous contexts highlights graph-theory as a potential gold-standard approach for brain network analysis in bvFTD. Hum Brain Mapp 38:3804–3822, 2017. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.
title Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia
title_short Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia
title_full Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia
title_fullStr Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia
title_full_unstemmed Tackling variability: A multicenter study to provide a gold-standard network approach for frontotemporal dementia
title_sort tackling variability: a multicenter study to provide a gold-standard network approach for frontotemporal dementia
publishDate 2017
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10659471_v38_n8_p3804_Sedeno
http://hdl.handle.net/20.500.12110/paper_10659471_v38_n8_p3804_Sedeno
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