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Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients

Regional volume atrophy and functional degeneration are key imaging hallmarks of Alzheimer’s disease (AD) in structural and functional magnetic resonance imaging (MRI), respectively. We jointly explored regional volume atrophy and functional connectivity to better characterize neuroimaging data of A...

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Autores principales: Son, Seong-Jin, Kim, Jonghoon, Park, Hyunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363868/
https://www.ncbi.nlm.nih.gov/pubmed/28333946
http://dx.doi.org/10.1371/journal.pone.0173426
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author Son, Seong-Jin
Kim, Jonghoon
Park, Hyunjin
author_facet Son, Seong-Jin
Kim, Jonghoon
Park, Hyunjin
author_sort Son, Seong-Jin
collection PubMed
description Regional volume atrophy and functional degeneration are key imaging hallmarks of Alzheimer’s disease (AD) in structural and functional magnetic resonance imaging (MRI), respectively. We jointly explored regional volume atrophy and functional connectivity to better characterize neuroimaging data of AD and mild cognitive impairment (MCI). All data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We compared regional volume atrophy and functional connectivity in 10 subcortical regions using structural MRI and resting-state functional MRI (rs-fMRI). Neuroimaging data of normal controls (NC) (n = 35), MCI (n = 40), and AD (n = 30) were compared. Significant differences of regional volumes and functional connectivity measures between groups were assessed using permutation tests in 10 regions. The regional volume atrophy and functional connectivity of identified regions were used as features for the random forest classifier to distinguish among three groups. The features of the identified regions were also regarded as connectional fingerprints that could distinctively separate a given group from the others. We identified a few regions with distinctive regional atrophy and functional connectivity patterns for NC, MCI, and AD groups. A three label classifier using the information of regional volume atrophy and functional connectivity of identified regions achieved classification accuracy of 53.33% to distinguish among NC, MCI, and AD. We identified distinctive regional atrophy and functional connectivity patterns that could be regarded as a connectional fingerprint.
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spelling pubmed-53638682017-04-06 Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients Son, Seong-Jin Kim, Jonghoon Park, Hyunjin PLoS One Research Article Regional volume atrophy and functional degeneration are key imaging hallmarks of Alzheimer’s disease (AD) in structural and functional magnetic resonance imaging (MRI), respectively. We jointly explored regional volume atrophy and functional connectivity to better characterize neuroimaging data of AD and mild cognitive impairment (MCI). All data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We compared regional volume atrophy and functional connectivity in 10 subcortical regions using structural MRI and resting-state functional MRI (rs-fMRI). Neuroimaging data of normal controls (NC) (n = 35), MCI (n = 40), and AD (n = 30) were compared. Significant differences of regional volumes and functional connectivity measures between groups were assessed using permutation tests in 10 regions. The regional volume atrophy and functional connectivity of identified regions were used as features for the random forest classifier to distinguish among three groups. The features of the identified regions were also regarded as connectional fingerprints that could distinctively separate a given group from the others. We identified a few regions with distinctive regional atrophy and functional connectivity patterns for NC, MCI, and AD groups. A three label classifier using the information of regional volume atrophy and functional connectivity of identified regions achieved classification accuracy of 53.33% to distinguish among NC, MCI, and AD. We identified distinctive regional atrophy and functional connectivity patterns that could be regarded as a connectional fingerprint. Public Library of Science 2017-03-23 /pmc/articles/PMC5363868/ /pubmed/28333946 http://dx.doi.org/10.1371/journal.pone.0173426 Text en © 2017 Son et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Son, Seong-Jin
Kim, Jonghoon
Park, Hyunjin
Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients
title Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients
title_full Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients
title_fullStr Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients
title_full_unstemmed Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients
title_short Structural and functional connectional fingerprints in mild cognitive impairment and Alzheimer’s disease patients
title_sort structural and functional connectional fingerprints in mild cognitive impairment and alzheimer’s disease patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363868/
https://www.ncbi.nlm.nih.gov/pubmed/28333946
http://dx.doi.org/10.1371/journal.pone.0173426
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