Number of the records: 1
Utility of quantitative MRI metrics in human brain ageing research
- 1.
SYSNO ASEP 0568186 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Utility of quantitative MRI metrics in human brain ageing research Author(s) Filip, P. (CZ)
Kokošová, V. (CZ)
Valenta, Zdeněk (UIVT-O) RID, SAI, ORCID
Baláž, M. (CZ)
Mangia, S. (US)
Michaeli, S. (US)
Vojtíšek, L. (CZ)Article number 1099499 Source Title Frontiers in Aging Neuroscience. - : Frontiers Media - ISSN 1663-4365
Roč. 15, March (2023)Number of pages 10 s. Publication form Online - E Language eng - English Country CH - Switzerland Keywords ageing ; quantitative MRI ; rotating frame relaxometry ; diffusion weighted imaging ; resting state functional MRI Subject RIV FH - Neurology OECD category Clinical neurology R&D Projects LM2018129 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support UIVT-O - RVO:67985807 UT WOS 000954641900001 EID SCOPUS 85150736986 DOI 10.3389/fnagi.2023.1099499 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2024 Electronic address https://doi.org/10.3389/fnagi.2023.1099499
Number of the records: 1