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Updated: Mar 30, 2026

Rat Model of Widespread Cerebral Cortical Demyelination Induced by an Intracerebral Injection of Pro-Inflammatory Cytokines
Published on: September 21, 2021
Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced
C Guglielmetti1, J Veraart2, E Roelant3
1Bio-Imaging Lab, University of Antwerp, Antwerp, Belgium.
Abstract:
Although MRI is the gold standard for the diagnosis and monitoring of multiple sclerosis (MS), current conventional MRI techniques often fail to detect cortical alterations and provide little information about gliosis, axonal damage and myelin status of lesioned areas. Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) provide sensitive and complementary measures of the neural tissue microstructure. Additionally, specific white matter tract integrity (WMTI) metrics modelling the diffusion in white matter were recently derived. In the current study we used the well-characterized cuprizone mouse model of central nervous system demyelination to assess the temporal evolution of diffusion tensor (DT), diffusion kurtosis tensor (DK) and WMTI-derived metrics following acute inflammatory demyelination and spontaneous remyelination. While DT-derived metrics were unable to detect cuprizone induced cortical alterations, the mean kurtosis (MK) and radial kurtosis (RK) were found decreased under cuprizone administration, as compared to age-matched controls, in both the motor and somatosensory cortices. The MK remained decreased in the motor cortices at the end of the recovery period, reflecting long lasting impairment of myelination. In white matter, DT, DK and WMTI-derived metrics enabled the detection of cuprizone induced changes differentially according to the stage and the severity of the lesion. More specifically, the MK, the RK and the axonal water fraction (AWF) were the most sensitive for the detection of cuprizone induced changes in the genu of the corpus callosum, a region less affected by cuprizone administration. Additionally, microgliosis was associated with an increase of MK and RK during the acute inflammatory demyelination phase. In regions undergoing severe demyelination, namely the body and splenium of the corpus callosum, DT-derived metrics, notably the mean diffusion (MD) and radial diffusion (RD), were among the best discriminators between cuprizone and control groups, hence highlighting their ability to detect both acute and long lasting changes. Interestingly, WMTI-derived metrics showed the aptitude to distinguish between the different stages of the disease. Both the intra-axonal diffusivity (Da) and the AWF were found to be decreased in the cuprizone treated group, Da specifically decreased during the acute inflammatory demyelinating phase whereas the AWF decrease was associated to the spontaneous remyelination and the recovery period. Altogether our results demonstrate that DKI is sensitive to alterations of cortical areas and provides, along with WMTI metrics, information that is complementary to DT-derived metrics for the characterization of demyelination in both white and grey matter and subsequent inflammatory processes associated with a demyelinating event.
Insights
Diffusion kurtosis imaging (DKI) and white matter tract integrity (WMTI) metrics detect changes in the brain
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Radiology
Background:
- Conventional MRI struggles to detect cortical changes in multiple sclerosis (MS).
- Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) offer sensitive microstructural insights.
- White matter tract integrity (WMTI) metrics provide advanced white matter analysis.
Purpose of the Study:
- To assess temporal changes in DTI, DKI, and WMTI metrics during demyelination and remyelination in a cuprizone mouse model.
- To compare the sensitivity of these advanced MRI techniques in detecting white and grey matter alterations.
Main Methods:
- Utilized the cuprizone mouse model for induced demyelination and remyelination.
- Applied diffusion tensor (DT), diffusion kurtosis tensor (DK), and WMTI-derived metrics.
- Analyzed temporal evolution of microstructural changes in cortical and white matter regions.
Main Results:
- DKI metrics (mean kurtosis, radial kurtosis) detected cortical alterations missed by DTI.
- WMTI metrics (axonal water fraction) and DKI were sensitive to changes in less affected white matter.
- DTI metrics (mean diffusion, radial diffusion) effectively detected severe demyelination.
- WMTI metrics distinguished different disease stages, with axonal water fraction decreasing during recovery.
Conclusions:
- DKI and WMTI metrics offer complementary information to DTI for characterizing demyelination and inflammation.
- Advanced diffusion MRI techniques are crucial for detecting subtle and widespread microstructural changes in MS models.
- These methods enhance the ability to monitor disease progression and therapeutic responses in demyelinating conditions.

