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Comment
. 2021 May 7;144(4):e35.
doi: 10.1093/brain/awab002.

Lesion network mapping predicts post-stroke behavioural deficits and improves localization

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Lesion network mapping predicts post-stroke behavioural deficits and improves localization

Alexander L Cohen et al. Brain. .
No abstract available

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Figure 1
Figure 1
Comparison of voxel-wise univariate regression of post-stroke behavioural scores with a priori regions from the literature for language (top) and verbal memory (bottom). Permutation-based statistical testing was performed comparing the functional connectivity of each stroke location with the rest of the brain versus their post-stroke language or verbal memory score; representing the best and worst case scenarios across the eight factors in the study. The top image demonstrates locations (red) where lesion network mapping identified a strong statistically significant relationship with language scores, thresholded at a family-wise error-corrected P-value of 0.05, compared to a meta-analysis of regions associated with the term ‘language’ from Neurosynth in green, thresholded at z >11. The bottom image demonstrates locations (red and blue) where lesion network mapping identified the strongest relationship with verbal memory scores, thresholded at an uncorrected P-value of 0.05, compared to a meta-analysis of associated with the term ‘hippocampus’ from Neurosynth in green, thresholded at z >13.

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