Corrigendum to ‘Lesion and Disconnection Profiles of Pain Quality Subtypes After Stroke: Implications for Prognosis and Rehabilitation’

Uragami, S., Y. Igawa, Y. Takamura, S. Iki, S. Morioka, M. Osumi. 2026. “ Lesion and Disconnection Profiles of Pain Quality Subtypes After Stroke: Implications for Prognosis and Rehabilitation.” European Journal of Pain 30, (5): e70276. https://doi.org/10.1002/ejp.70276. In the published article, the legends for Figure 3 and Figure 4 were incorrectly interchanged. The correct legends should read as follows: FIGURE 3 | BLDI lesion and white matter analysis results in each cluster. Lesion and white matter tract maps identified by Bayesian lesion-deficit inference (BLDI) and disconnectome analyses. Regions with Bayes Factors > 10 are shown. Each cluster's associated grey and white matter regions are overlaid on the MNI template for visualisation. BF, Bayes factor; lesions with BF10 > 10 were extracted. FIGURE 4 | Longitudinal data of pain intensity (NRS): Estimated marginal means in each cluster. Longitudinal changes in pain intensity (NRS) for each cluster over 12 weeks of exercise-based rehabilitation. The lines represent estimated marginal means from the linear mixed model; bars denote standard deviation. The trajectory of pain intensity in cluster 1 (blue line), cluster 2 (red line), cluster 3 (green line) and cluster 4 (purple line) is shown. The bar indicates the standard deviation. We apologize for this error.