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Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain

Resting-state functional magnetic resonance imaging (rsfMRI) is increasingly used to unravel the functional neuronal networks in health and disease. In particular, this technique of simultaneously probing the whole brain has found high interest in monitoring brain wide effects of cerebral disease an...

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Autores principales: Egimendia, Ander, Minassian, Anuka, Diedenhofen, Michael, Wiedermann, Dirk, Ramos-Cabrer, Pedro, Hoehn, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798007/
https://www.ncbi.nlm.nih.gov/pubmed/31680932
http://dx.doi.org/10.3389/fnagi.2019.00277
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author Egimendia, Ander
Minassian, Anuka
Diedenhofen, Michael
Wiedermann, Dirk
Ramos-Cabrer, Pedro
Hoehn, Mathias
author_facet Egimendia, Ander
Minassian, Anuka
Diedenhofen, Michael
Wiedermann, Dirk
Ramos-Cabrer, Pedro
Hoehn, Mathias
author_sort Egimendia, Ander
collection PubMed
description Resting-state functional magnetic resonance imaging (rsfMRI) is increasingly used to unravel the functional neuronal networks in health and disease. In particular, this technique of simultaneously probing the whole brain has found high interest in monitoring brain wide effects of cerebral disease and in evaluating therapeutic strategies. Such studies, applied in preclinical experimental mouse models, often require long-term observations. In particular during regeneration studies, easily several months of continuous monitoring are required to detect functional improvements. These long periods of following the functional deficits during disease evolution as well as the functional recoveries during therapeutic interventions represent a substantial fraction of the life span of the experimental animals. We have therefore aimed to decipher the role of healthy aging alone for changes in functional neuronal networks in mice, from developmental adolescence via adulthood to progressing aging. For this purpose, four different groups of C57Bl6 mice of varying age between 2 and 13 months were studied twice with 4 weeks separation using resting state fMRI at 9.4T. Dedicated data analysis including both Independent Component Analysis (ICA) followed by seed-based connectivity matrix compilation resulted in an inverse U-shape curve of functional connectivity (FC) strength in both the sensorimotor and default mode network (DMN). This inverse U-shape pattern presented a distinct maximum of FC strength at 8–9 months of age, followed by a continuous decrease during later aging phases. At progressed aging at 12–13 months, the reduction of connectivity strength varied between 25% and 70% with most connectivities showing a reduction in strength by approximately 50%. We recommend that these substantial age-dependent changes in FC strength must be considered in future longitudinal studies to discriminate focused disease-based functional deficits and therapy-related functional improvements from underlying independent age effects.
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spelling pubmed-67980072019-11-01 Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain Egimendia, Ander Minassian, Anuka Diedenhofen, Michael Wiedermann, Dirk Ramos-Cabrer, Pedro Hoehn, Mathias Front Aging Neurosci Neuroscience Resting-state functional magnetic resonance imaging (rsfMRI) is increasingly used to unravel the functional neuronal networks in health and disease. In particular, this technique of simultaneously probing the whole brain has found high interest in monitoring brain wide effects of cerebral disease and in evaluating therapeutic strategies. Such studies, applied in preclinical experimental mouse models, often require long-term observations. In particular during regeneration studies, easily several months of continuous monitoring are required to detect functional improvements. These long periods of following the functional deficits during disease evolution as well as the functional recoveries during therapeutic interventions represent a substantial fraction of the life span of the experimental animals. We have therefore aimed to decipher the role of healthy aging alone for changes in functional neuronal networks in mice, from developmental adolescence via adulthood to progressing aging. For this purpose, four different groups of C57Bl6 mice of varying age between 2 and 13 months were studied twice with 4 weeks separation using resting state fMRI at 9.4T. Dedicated data analysis including both Independent Component Analysis (ICA) followed by seed-based connectivity matrix compilation resulted in an inverse U-shape curve of functional connectivity (FC) strength in both the sensorimotor and default mode network (DMN). This inverse U-shape pattern presented a distinct maximum of FC strength at 8–9 months of age, followed by a continuous decrease during later aging phases. At progressed aging at 12–13 months, the reduction of connectivity strength varied between 25% and 70% with most connectivities showing a reduction in strength by approximately 50%. We recommend that these substantial age-dependent changes in FC strength must be considered in future longitudinal studies to discriminate focused disease-based functional deficits and therapy-related functional improvements from underlying independent age effects. Frontiers Media S.A. 2019-10-11 /pmc/articles/PMC6798007/ /pubmed/31680932 http://dx.doi.org/10.3389/fnagi.2019.00277 Text en Copyright © 2019 Egimendia, Minassian, Diedenhofen, Wiedermann, Ramos-Cabrer and Hoehn. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Egimendia, Ander
Minassian, Anuka
Diedenhofen, Michael
Wiedermann, Dirk
Ramos-Cabrer, Pedro
Hoehn, Mathias
Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain
title Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain
title_full Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain
title_fullStr Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain
title_full_unstemmed Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain
title_short Aging Reduces the Functional Brain Networks Strength—a Resting State fMRI Study of Healthy Mouse Brain
title_sort aging reduces the functional brain networks strength—a resting state fmri study of healthy mouse brain
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798007/
https://www.ncbi.nlm.nih.gov/pubmed/31680932
http://dx.doi.org/10.3389/fnagi.2019.00277
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