Cargando…

Utility of quantitative MRI metrics in brain ageing research

The advent of new, advanced quantitative MRI metrics allows for in vivo evaluation of multiple biological processes highly relevant for ageing. The presented study combines several MRI parameters hypothesised to detect distinct biological characteristics as myelin density, cellularity, cellular memb...

Descripción completa

Detalles Bibliográficos
Autores principales: Filip, Pavel, Kokošová, Viktória, Valenta, Zdeněk, Baláž, Marek, Mangia, Silvia, Michaeli, Shalom, Vojtíšek, Lubomír
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034010/
https://www.ncbi.nlm.nih.gov/pubmed/36967815
http://dx.doi.org/10.3389/fnagi.2023.1099499
_version_ 1784911114668081152
author Filip, Pavel
Kokošová, Viktória
Valenta, Zdeněk
Baláž, Marek
Mangia, Silvia
Michaeli, Shalom
Vojtíšek, Lubomír
author_facet Filip, Pavel
Kokošová, Viktória
Valenta, Zdeněk
Baláž, Marek
Mangia, Silvia
Michaeli, Shalom
Vojtíšek, Lubomír
author_sort Filip, Pavel
collection PubMed
description The advent of new, advanced quantitative MRI metrics allows for in vivo evaluation of multiple biological processes highly relevant for ageing. The presented study combines several MRI parameters hypothesised to detect distinct biological characteristics as myelin density, cellularity, cellular membrane integrity and iron concentration. 116 healthy volunteers, continuously distributed over the whole adult age span, underwent a multi-modal MRI protocol acquisition. Scatterplots of individual MRI metrics revealed that certain MRI protocols offer much higher sensitivity to early adulthood changes while plateauing in higher age (e.g., global functional connectivity in cerebral cortex or orientation dispersion index in white matter), while other MRI metrics provided reverse ability—stable levels in young adulthood with sharp changes with rising age (e.g., T1ρ and T2ρ). Nonetheless, despite the previously published validations of specificity towards microstructural biology based on cytoarchitectonic maps in healthy population or alterations in certain pathologies, several metrics previously hypothesised to be selective to common measures failed to show similar scatterplot distributions, pointing to further confounding factors directly related to age. Furthermore, other metrics, previously shown to detect different biological characteristics, exhibited substantial intercorrelations, be it due to the nature of the MRI protocol itself or co-dependence of relevant biological microstructural processes. All in all, the presented study provides a unique basis for the design and choice of relevant MRI parameters depending on the age group of interest. Furthermore, it calls for caution in simplistic biological inferences in ageing based on one simple MRI metric, even though previously validated under other conditions. Complex multi-modal approaches combining several metrics to extract the shared subcomponent will be necessary to achieve the desired goal of histological MRI.
format Online
Article
Text
id pubmed-10034010
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100340102023-03-24 Utility of quantitative MRI metrics in brain ageing research Filip, Pavel Kokošová, Viktória Valenta, Zdeněk Baláž, Marek Mangia, Silvia Michaeli, Shalom Vojtíšek, Lubomír Front Aging Neurosci Aging Neuroscience The advent of new, advanced quantitative MRI metrics allows for in vivo evaluation of multiple biological processes highly relevant for ageing. The presented study combines several MRI parameters hypothesised to detect distinct biological characteristics as myelin density, cellularity, cellular membrane integrity and iron concentration. 116 healthy volunteers, continuously distributed over the whole adult age span, underwent a multi-modal MRI protocol acquisition. Scatterplots of individual MRI metrics revealed that certain MRI protocols offer much higher sensitivity to early adulthood changes while plateauing in higher age (e.g., global functional connectivity in cerebral cortex or orientation dispersion index in white matter), while other MRI metrics provided reverse ability—stable levels in young adulthood with sharp changes with rising age (e.g., T1ρ and T2ρ). Nonetheless, despite the previously published validations of specificity towards microstructural biology based on cytoarchitectonic maps in healthy population or alterations in certain pathologies, several metrics previously hypothesised to be selective to common measures failed to show similar scatterplot distributions, pointing to further confounding factors directly related to age. Furthermore, other metrics, previously shown to detect different biological characteristics, exhibited substantial intercorrelations, be it due to the nature of the MRI protocol itself or co-dependence of relevant biological microstructural processes. All in all, the presented study provides a unique basis for the design and choice of relevant MRI parameters depending on the age group of interest. Furthermore, it calls for caution in simplistic biological inferences in ageing based on one simple MRI metric, even though previously validated under other conditions. Complex multi-modal approaches combining several metrics to extract the shared subcomponent will be necessary to achieve the desired goal of histological MRI. Frontiers Media S.A. 2023-03-09 /pmc/articles/PMC10034010/ /pubmed/36967815 http://dx.doi.org/10.3389/fnagi.2023.1099499 Text en Copyright © 2023 Filip, Kokošová, Valenta, Baláž, Mangia, Michaeli and Vojtíšek. 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
Filip, Pavel
Kokošová, Viktória
Valenta, Zdeněk
Baláž, Marek
Mangia, Silvia
Michaeli, Shalom
Vojtíšek, Lubomír
Utility of quantitative MRI metrics in brain ageing research
title Utility of quantitative MRI metrics in brain ageing research
title_full Utility of quantitative MRI metrics in brain ageing research
title_fullStr Utility of quantitative MRI metrics in brain ageing research
title_full_unstemmed Utility of quantitative MRI metrics in brain ageing research
title_short Utility of quantitative MRI metrics in brain ageing research
title_sort utility of quantitative mri metrics in brain ageing research
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034010/
https://www.ncbi.nlm.nih.gov/pubmed/36967815
http://dx.doi.org/10.3389/fnagi.2023.1099499
work_keys_str_mv AT filippavel utilityofquantitativemrimetricsinbrainageingresearch
AT kokosovaviktoria utilityofquantitativemrimetricsinbrainageingresearch
AT valentazdenek utilityofquantitativemrimetricsinbrainageingresearch
AT balazmarek utilityofquantitativemrimetricsinbrainageingresearch
AT mangiasilvia utilityofquantitativemrimetricsinbrainageingresearch
AT michaelishalom utilityofquantitativemrimetricsinbrainageingresearch
AT vojtiseklubomir utilityofquantitativemrimetricsinbrainageingresearch