Extra-axonal restricted diffusion as an in-vivo marker of reactive microglia
Maxime Taquet1,2,3,4, Aleksandar Jankovski5,6, Gaëtan Rensonnet7,8
1Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, USA. maxime.taquet@medsci.ox.ac.uk.
This study introduces diffusion compartment imaging (DCI) as a novel MRI method to map reactive microglia in vivo. Findings show DCI can track microglial activation, offering a promising tool for brain disease research.
Area of Science:
- Neuroscience
- Medical Imaging
- Pathology
Background:
- Reactive microgliosis is a key feature of neuroinflammation in various brain diseases.
- Current in-vivo mapping of reactive microglia using PET scans is limited by resolution, cost, and availability.
- Diffusion compartment imaging (DCI) offers potential for in-vivo microstructure analysis using MRI.
Purpose of the Study:
- To demonstrate the potential of DCI for mapping reactive microglia in vivo.
- To establish an MRI-based marker for reactive microgliosis.
- To explore DCI's utility in understanding neuroinflammatory disease pathogenesis.
Main Methods:
- Longitudinal DCI was performed in rats following dorsal root axotomy to induce Wallerian degeneration and microglial activation.
- Histology with Iba-1 immunostaining was used to quantify microglial density post-DCI.
- Analysis focused on the fraction of extra-axonal restricted diffusion measured by DCI.
Main Results:
- The fraction of extra-axonal restricted diffusion showed temporal dynamics consistent with reactive microgliosis.
- A significant correlation was found between DCI-derived extra-axonal restricted diffusion and histological microglial density.
- This parameter serves as a potential in-vivo marker for reactive microglia.
Conclusions:
- Extra-axonal restricted diffusion measured by DCI is a valid in-vivo marker of reactive microglia.
- DCI-based microglial mapping could enhance the characterization of neurological and psychiatric diseases.
- This research paves the way for non-invasive MRI assessment of neuroinflammation.
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