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. 2021 Mar 18;11:6305. doi: 10.1038/s41598-021-85802-5

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Results of support vector regression lesion-symptom mapping (SVR-LSM) after voxels thresholded at P < 0.005 underwent cluster-level corrections with 10,000 permutations (cluster threshold = P < 0.05). 3-Dimensional models of resulting clusters were generated using the Montreal Neurological Institute template via BrainNet Viewer (https://www.nitrc.org/projects/bnv/). a Lesions in a cluster of 8,333 voxels in the left lateral PFC were predictive of impaired picture naming (P = 0.045). b Lesions in a larger cluster of 21,512 were voxels predictive of impaired auditory naming (P = 0.0034). Clusters in a and b overlap completely with the cluster in a extending deeper into subcortical regions. c Results of SVR-LSM using the principal component scores for each participant on the first principal component (PC1). This cluster consists of 11,944 voxels (P = 0.019) and demonstrates overlap with the clusters in a and b.