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Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity

INTRODUCTION: This study aims to explore whole-brain resting-state spontaneous brain activity using fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) strategies to find differences among age groups within a population ranging from middle age to older adults. M...

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Autores principales: Montalà-Flaquer, Marc, Cañete-Massé, Cristina, Vaqué-Alcázar, Lídia, Bartrés-Faz, David, Peró-Cebollero, Maribel, Guàrdia-Olmos, Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877451/
https://www.ncbi.nlm.nih.gov/pubmed/36711210
http://dx.doi.org/10.3389/fnagi.2022.1002811
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author Montalà-Flaquer, Marc
Cañete-Massé, Cristina
Vaqué-Alcázar, Lídia
Bartrés-Faz, David
Peró-Cebollero, Maribel
Guàrdia-Olmos, Joan
author_facet Montalà-Flaquer, Marc
Cañete-Massé, Cristina
Vaqué-Alcázar, Lídia
Bartrés-Faz, David
Peró-Cebollero, Maribel
Guàrdia-Olmos, Joan
author_sort Montalà-Flaquer, Marc
collection PubMed
description INTRODUCTION: This study aims to explore whole-brain resting-state spontaneous brain activity using fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) strategies to find differences among age groups within a population ranging from middle age to older adults. METHODS: The sample comprised 112 healthy persons (M = 68.80, SD = 7.99) aged 48–89 who were split into six age groups (< 60, 60–64, 65–69, 70–74, 75–79, and ≥ 80). Fractional amplitude of low-frequency fluctuation and ReHo analyses were performed and were compared among the six age groups, and the significant results commonly found across groups were correlated with the gray matter volume of the areas and the age variable. RESULTS: Increased activity was found using fALFF in the superior temporal gyrus and inferior frontal gyrus when comparing the first group and the fifth. Regarding ReHo analysis, Group 6 showed increased ReHo in the temporal lobe (hippocampus), right and left precuneus, right caudate, and right and left thalamus depending on the age group. Moreover, significant correlations between age and fALFF and ReHo clusters, as well as with their gray matter volume were found, meaning that the higher the age, the higher the regional synchronization, the lower the fALFF activation, and the lower gray matter of the right thalamus. CONCLUSION: Both techniques have been shown to be valuable and usable tools for disentangling brain changes in activation in a very low interval of years in healthy aging.
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spelling pubmed-98774512023-01-27 Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity Montalà-Flaquer, Marc Cañete-Massé, Cristina Vaqué-Alcázar, Lídia Bartrés-Faz, David Peró-Cebollero, Maribel Guàrdia-Olmos, Joan Front Aging Neurosci Aging Neuroscience INTRODUCTION: This study aims to explore whole-brain resting-state spontaneous brain activity using fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) strategies to find differences among age groups within a population ranging from middle age to older adults. METHODS: The sample comprised 112 healthy persons (M = 68.80, SD = 7.99) aged 48–89 who were split into six age groups (< 60, 60–64, 65–69, 70–74, 75–79, and ≥ 80). Fractional amplitude of low-frequency fluctuation and ReHo analyses were performed and were compared among the six age groups, and the significant results commonly found across groups were correlated with the gray matter volume of the areas and the age variable. RESULTS: Increased activity was found using fALFF in the superior temporal gyrus and inferior frontal gyrus when comparing the first group and the fifth. Regarding ReHo analysis, Group 6 showed increased ReHo in the temporal lobe (hippocampus), right and left precuneus, right caudate, and right and left thalamus depending on the age group. Moreover, significant correlations between age and fALFF and ReHo clusters, as well as with their gray matter volume were found, meaning that the higher the age, the higher the regional synchronization, the lower the fALFF activation, and the lower gray matter of the right thalamus. CONCLUSION: Both techniques have been shown to be valuable and usable tools for disentangling brain changes in activation in a very low interval of years in healthy aging. Frontiers Media S.A. 2023-01-12 /pmc/articles/PMC9877451/ /pubmed/36711210 http://dx.doi.org/10.3389/fnagi.2022.1002811 Text en Copyright © 2023 Montalà-Flaquer, Cañete-Massé, Vaqué-Alcázar, Bartrés-Faz, Peró-Cebollero and Guàrdia-Olmos. https://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 Aging Neuroscience
Montalà-Flaquer, Marc
Cañete-Massé, Cristina
Vaqué-Alcázar, Lídia
Bartrés-Faz, David
Peró-Cebollero, Maribel
Guàrdia-Olmos, Joan
Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity
title Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity
title_full Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity
title_fullStr Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity
title_full_unstemmed Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity
title_short Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity
title_sort spontaneous brain activity in healthy aging: an overview through fluctuations and regional homogeneity
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877451/
https://www.ncbi.nlm.nih.gov/pubmed/36711210
http://dx.doi.org/10.3389/fnagi.2022.1002811
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