Age‐Trajectories of Higher‐Order Diffusion Properties of Major Brain Metabolites in Cerebral and Cerebellar Gray Matter Using In Vivo Diffusion‐Weighted <scp>MR</scp> Spectroscopy at 3T
Healthy brain aging involves changes in both brain structure and function, including alterations in cellular composition and microstructure across brain regions. Unlike diffusion-weighted MRI (dMRI), diffusion-weighted MR spectroscopy (dMRS) can assess cell-type specific microstructural changes, providing indirect information on both cell composition and microstructure through the quantification and interpretation of metabolites' diffusion properties. This work investigates age-related changes in the higher-order diffusion properties of total N-Acetyl-aspartate (neuronal biomarker), total choline (glial biomarker), and total creatine (both neuronal and glial biomarker) beyond the classical apparent diffusion coefficient in cerebral and cerebellar gray matter of healthy human brain. Twenty-five subjects were recruited and scanned using a diffusion-weighted semi-LASER sequence in two brain regions-of-interest (ROI) at 3T: posterior-cingulate (PCC) and cerebellar cortices. Metabolites' diffusion was characterized by quantifying metrics from both Gaussian and non-Gaussian signal representations and biophysical models. All studied metabolites exhibited lower apparent diffusivities and higher apparent kurtosis values in the cerebellum compared to the PCC, likely stemming from the higher microstructural complexity of cellular composition in the cerebellum. Multivariate regression analysis (accounting for ROI tissue composition as a covariate) showed slight decrease (or no change) of all metabolites' diffusivities and slight increase of all metabolites' kurtosis with age, none of which statistically significant (p > 0.05). The proposed age-trajectories provide benchmarks for identifying anomalies in the diffusion properties of major brain metabolites which could be related to pathological mechanisms altering both the brain microstructure and cellular composition.
Authors
- Cécile Galléa (ORCID: https://orcid.org/0000-0001-8070-8794)
- Kadir Şimşek (ORCID: https://orcid.org/0000-0003-4044-7395)
- Guglielmo Genovese (ORCID: https://orcid.org/0000-0001-9409-0120)
- Stéphane Lehéricy (ORCID: https://orcid.org/0000-0002-5802-3518)
- Francesca Branzoli (ORCID: https://orcid.org/0000-0001-9792-0492)
- Marco Palombo (ORCID: https://orcid.org/0000-0003-4892-7967)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Norwegian University of Science and Technology (NO)
- Sorbonne Université (FR)
- Institut du Cerveau (FR)
- Cardiff University (GB)
Publication Details
- Journal
- Aging Cell
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1111/acel.14477
- Citations
- 2
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- UK Research and Innovation
- Agence Nationale de la Recherche