Utility of quantitative MRI metrics in brain ageing research

J 2023

Utility of quantitative MRI metrics in brain ageing research

FILIP, Pavel, Viktória KOKOŠOVÁ, Zdenek VALENTA, Marek BALÁŽ, Silvia MANGIA et. al.

Basic information

Original name

Utility of quantitative MRI metrics in brain ageing research

Authors

FILIP, Pavel (703 Slovakia, guarantor), Viktória KOKOŠOVÁ (703 Slovakia, belonging to the institution), Zdenek VALENTA (203 Czech Republic), Marek BALÁŽ (703 Slovakia, belonging to the institution), Silvia MANGIA, Shalom MICHAELI and Lubomír VOJTÍŠEK (203 Czech Republic, belonging to the institution)

Edition

Frontiers in aging Neuroscience, LAUSANNE, FRONTIERS MEDIA SA, 2023, 1663-4365

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 4.800 in 2022

RIV identification code

RIV/00216224:14110/23:00132261

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.3389/fnagi.2023.1099499

UT WoS

000954641900001

Keywords in English

ageing; quantitative MRI; rotating frame relaxometry; diffusion weighted imaging; resting state functional MRI

Abstract

V originále

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., T1 rho and T2 rho). 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.

Links

90129, large research infrastructures

Name: Czech-BioImaging II

Citovat

FILIP, Pavel, Viktória KOKOŠOVÁ, Zdenek VALENTA, Marek BALÁŽ, Silvia MANGIA, Shalom MICHAELI and Lubomír VOJTÍŠEK. Utility of quantitative MRI metrics in brain ageing research. Frontiers in aging Neuroscience. LAUSANNE: FRONTIERS MEDIA SA, 2023, vol. 15, March 2023, p. 1-10. ISSN 1663-4365. Available from: https://dx.doi.org/10.3389/fnagi.2023.1099499.

@article{2339539,
   author = {Filip, Pavel and Kokošová, Viktória and Valenta, Zdenek and Baláž, Marek and Mangia, Silvia and Michaeli, Shalom and Vojtíšek, Lubomír},
   article_location = {LAUSANNE},
   article_number = {March 2023},
   doi = {http://dx.doi.org/10.3389/fnagi.2023.1099499},
   keywords = {ageing; quantitative MRI; rotating frame relaxometry; diffusion weighted imaging; resting state functional MRI},
   language = {eng},
   issn = {1663-4365},
   journal = {Frontiers in aging Neuroscience},
   title = {Utility of quantitative MRI metrics in brain ageing research},
   url = {https://www.frontiersin.org/articles/10.3389/fnagi.2023.1099499/full},
   volume = {15},
   year = {2023}
}

TY  - JOUR
ID  - 2339539
AU  - Filip, Pavel - Kokošová, Viktória - Valenta, Zdenek - Baláž, Marek - Mangia, Silvia - Michaeli, Shalom - Vojtíšek, Lubomír
PY  - 2023
TI  - Utility of quantitative MRI metrics in brain ageing research
JF  - Frontiers in aging Neuroscience
VL  - 15
IS  - March 2023
SP  - 1-10
EP  - 1-10
PB  - FRONTIERS MEDIA SA
SN  - 16634365
KW  - ageing
KW  - quantitative MRI
KW  - rotating frame relaxometry
KW  - diffusion weighted imaging
KW  - resting state functional MRI
UR  - https://www.frontiersin.org/articles/10.3389/fnagi.2023.1099499/full
N2  - 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., T1 rho and T2 rho). 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.
ER  -

FILIP, Pavel, Viktória KOKOŠOVÁ, Zdenek VALENTA, Marek BALÁŽ, Silvia MANGIA, Shalom MICHAELI and Lubomír VOJTÍŠEK. Utility of quantitative MRI metrics in brain ageing research. \textit{Frontiers in aging Neuroscience}. LAUSANNE: FRONTIERS MEDIA SA, 2023, vol.~15, March 2023, p.~1-10. ISSN~1663-4365. Available from: https://dx.doi.org/10.3389/fnagi.2023.1099499.

Detailed Information on Publication Record