Detailed Information on Publication Record
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:
Impact factor
Impact factor: 4.800 in 2022
RIV identification code
RIV/00216224:14110/23:00132261
Organization unit
Faculty of Medicine
UT WoS
000954641900001
Keywords in English
ageing; quantitative MRI; rotating frame relaxometry; diffusion weighted imaging; resting state functional MRI
Tags
International impact, Reviewed
Změněno: 17/10/2024 10:04, Mgr. Adéla Pešková
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
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