In their recent study investigating emotion recognition impairments in bipolar disorder (BD), Robinson et al. (2015) report that two well-characterized groups of BD individuals failed to show performance deficits on a series of facial emotion processing tasks when compared to controls. This is in contrast to our findings of BD patient impairments on a similar set of facial emotion recognition measures in a group of stable outpatients in mixed mood states but with relatively minimal mean symptom severity .Robinson et al. state that methodological issues related to neurocognitive ability may account for some inconsistencies in the literature. In particular, they highlight that tasks with time pressured response formats or elevated memory demands could elicit group differences more readily than tasks without such features. We agree with this argument and speculate that it is possible that the participants in our sample were placed under greater neuropsychological pressure than those of Robinson et al., since the task used in our study did not display visual labels for each of the emotional expressions and enforced a strict inter-stimulus response window of 1500 ms. It is arguable that these factors imposed a heightened reliance on processing speed and working memory skills.In a previous study using a regression-based technique (path analysis) in our sample, we were able to show that a collapsed neurocognitive score encompassing processing speed, working memory, attention, learning, and executive functioning measures was predictive of emotion processing in BD (Van Rheenen, Meyer, & Rossell, 2014). This approach was useful in identifying the proportion of variance in facial emotion recognition performance that was accounted for by neurocognitive functioning in the BD group as a whole. However, recent work suggests that there is substantial heterogeneity in cognitive ability in individuals with this disorder (Burdick et al., 2014), with 30-40% of BD patients reported to be neuropsychologically intact (Martino et al., 2008(Martino et al., , 2014. Thus, although we were able to establish the presence of a predictive relationship between neurocognition and emotion processing in our previous path analysis, we were not able to explicitly clarify whether emotion-recognition impairment was a feature shared by those BD individuals with and without neurocognitive impairment themselves.In an attempt to place the results of both our own emotion processing study and that of Robinson et al., in the context of methodological considerations related to neuropsychological demands, we conducted an exploratory re-analysis of our data (see Van Rheenen & Rossell, 2014 for details). Specifically, we implemented a K-means clustering analysis on the BD sample reported in our 2014 study, on the basis of performance on available processing speed (Trail Making Test A and Digit Symbol Coding subtests) and working memory (SS and LNS subtests) measures from the MATRICS Consensus Cognitive Battery (Nuechterlein et al., 2008). The analysis, using 10...