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Diffusion MRS tracks distinct trajectories of neuronal development in the cerebellum and thalamus of rat neonates

Abstract:
It is currently impossible to non-invasively assess cerebellar cell structure during early development. Here, we propose a novel approach to non-invasively and longitudinally track cell-specific development using diffusion-weighted magnetic resonance spectroscopy (MRS) in combination with microstructural modelling. Tracking metabolite diffusion allows us to probe cell-specific developmental trajectories in the cerebellum and thalamus of healthy rat neonates from postnatal day (P) 5 to P30. Additionally, by comparing different analytical and biophysical microstructural models, we can follow the differential contribution of cell bodies and neurites during development. The thalamus serves as a control region to assess the sensitivity of our method to microstructural differences between the regions. We found significant differences between cerebellar and thalamic metabolites’ diffusion properties. For most metabolites, the signal attenuation is stronger in the thalamus, suggesting less restricted diffusion compared to the cerebellum. There is also a trend for lower signal attenuation and lower apparent diffusion coefficients (ADCs) with increasing age, suggesting increasing restriction of metabolite diffusion. This is particularly striking for taurine in the thalamus. We use biophysical modelling to interpret these differences. We report a decreased sphere fraction (or an increased neurite fraction) with age for taurine and total creatine in the cerebellum, marking dendritic growth. Surprisingly, we also report a U-shape trend for segment length (the distance between two embranchments in a dendritic tree) in the cerebellum, agreeing with age-matching morphometry of openly available 3D-Purkinje reconstructions. Results demonstrate that diffusion-weighted MRS probes early cerebellar neuronal development non-invasively.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.7554/elife.96625

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-5673-3009
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Institution:
University of Oxford
Role:
Author
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-7159-7025
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-3234-5639


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Funder identifier:
https://ror.org/029chgv08
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Funder identifier:
https://ror.org/001aqnf71


Publisher:
eLife Sciences Publications
Journal:
eLife More from this journal
Volume:
13
Article number:
RP96625
Publication date:
2025-10-09
DOI:
EISSN:
2050084X
ISSN:
2050084X


Language:
English
Keywords:
Pubs id:
2090333
Local pid:
pubs:2090333
Source identifiers:
3358651
Deposit date:
2025-10-10
ARK identifier:
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