Diffusion Tensor Imaging in Stroke Motor Recovery

Diffusion tensor imaging (DTI) has emerged as a pivotal non-invasive technique to probe the microstructural integrity of white matter pathways critical for motor function after stroke. By quantifying directional water diffusion within neural fibres, key metrics such as fractional anisotropy and mean diffusivity serve as biomarkers of axonal coherence, myelin integrity and oedema. In acute and subacute phases, DTI can map early disruption of the corticospinal tract and perilesional networks, providing prognostic insight into potential motor outcomes. Longitudinal applications of DTI have further delineated patterns of Wallerian degeneration, remodelling and plasticity, correlating changes in tract properties with clinical recovery scales. Integrating DTI-derived parameters into predictive models enhances the precision of rehabilitative planning, facilitates the stratification of patients for targeted interventions, and may guide novel therapeutics, including neurostimulation and brain–computer interfaces. Ultimately, the convergence of advanced imaging metrics with computational analytics holds promise for personalised recovery trajectories in stroke motor rehabilitation.

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Diffusion Tensor Imaging in Stroke Motor Recovery publication trend

The graph below shows the total number of articles in diffusion tensor imaging in stroke motor recovery across all publications each year (not limited to Nature Index journals).

Technical terms

Diffusion tensor imaging (DTI): Magnetic resonance technique that measures the directional diffusion of water molecules to infer white matter microstructure.

Fractional anisotropy (FA): Scalar value reflecting the degree of directional water diffusion, indicative of fibre coherence and integrity.

Mean diffusivity (MD): Average rate of water diffusion within tissue, sensitive to cellular density and extracellular changes.

Corticospinal tract (CST): Principal descending white matter pathway conveying motor signals from the cortex to the spinal cord.

Voxel-based morphometry (VBM): Neuroimaging analysis technique that assesses regional grey matter volume and thickness across subjects.

References

1. Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings. American Journal of Neuroradiology (2008).
2. Acute Damage to the Posterior Limb of the Internal Capsule on Diffusion Tensor Tractography as an Early Imaging Predictor of Motor Outcome after Stroke. American Journal of Neuroradiology (2011).
3. Wallerian Degeneration in the Corticospinal Tract Evaluated by Diffusion Tensor Imaging Correlates with Motor Deficit 30 Days after Middle Cerebral Artery Ischemic Stroke. American Journal of Neuroradiology (2010).
4. Diffusion tensor imaging and gray matter volumetry to evaluate cerebral remodeling processes after a pure motor stroke: a longitudinal study. Journal of Neurology (2024).
5. Longitudinal evolution of diffusion metrics after left hemisphere ischaemic stroke. Brain Communications (2023).
6. Deep learning prediction of motor performance in stroke individuals using neuroimaging data. Journal of Biomedical Informatics (2023).