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This model included all principal components though we focused primarily on the lesions associated with a shared language component and a component that was unique to object naming. Reduced integrity of grey and white matter was analysed separately for each model. In all analyses, the following measures were included as covariates of no interest: age, gender, years of education, interval between stroke and CT scanning, interval between http://www.selleckchem.com/products/LBH-589.html stroke and cognitive testing, and measures of general cognitive state (we used tests of each participant's overall orientation, see Supplementary material S2 for details). Inclusion of these covariates allowed us to control for various confounding factors that might have a potential impact on cognitive performance or the extent of lesion. We focused on results that were reliable at a FWE-corrected threshold of p? http://www.selleckchem.com/products/Adriamycin.html Tzourio-Mazoyer et al., 2002), Duvernoy's (1999) Human Brain Atlas, the JHU White matter tractography atlas ( Hua et al., 2008) and the MRI Atlas of Human White Matter by Mori (2005). On average, patients were able to name 10.02 (sd?=?3.88) objects correctly. Compared to the cut-off points established from the age-matched healthy controls (http://www.bcos.bham.ac.uk), 108 patients scored lower than the cut-off points and were classified as impaired. Table?2 provides the descriptive data and average scores on the cognitive and language tasks. Performance on object naming was significantly but weakly associated with age (rs?=??0.164, p? https://en.wikipedia.org/wiki/Pentamorphone ��orientation��, measured in terms of their knowledge of personal information (rs?=?0.548, p?