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. Author manuscript; available in PMC: 2021 Jan 1.
Published in final edited form as: Nat Hum Behav. 2020 Apr 20;4(7):725–735. doi: 10.1038/s41562-020-0854-5

Table 1.

Best overall models for each behavioural factor score. The first column indicates the factor and each corresponding row indicates the characteristics of the winning model (machine, modality, partition, mean square error (MSE) and correlation). Abbreviations: Anatomical connectivity map (ACM), mean diffusivity (MD), fractional anisotropy (FA), and principal component analysis (PCA).

Winning model
Factor Machine Modality Partition MSE Correlation
Phonology Kernel Ridge ACM and MD PCA derived lesion clusters 0.6376 0.5093
Semantics Multi-Kernel Combined T1 Functional connectivity-based atlas 0.6668 0.5087
Executive-demand Multi-Kernel % Abnormality and % White matter Anatomical atlas 0.3963 0.7333
Speech quanta Relevance Vector % Grey matter and FA Whole brain – no partition 0.6274 0.5228