Interestingly, PKA inhibitors reduce efficiency of mitochondrial ATP production in starved cells by blocking autophagy-induced mitochondrial elongation (Gomes et al., 2011), opening the possibility that the BAD complex is also a hub where morphological and metabolic cues meet. We are just beginning to unravel the complex loop between mitochondrial metabolism and seizures. For example, although Giménez-Cassina et al. (2012)

convincingly show that the activity of KATP channels is enhanced in Bad−/− and BadS155A mice, the molecular link between BAD and opening time of KATP channels is still obscure. In cardiac cells, the intracellular pool of KATP channels is mobile and can relocate to the sarcolemma after ischemia, increasing their surface density ( Bao et al., 2011). Similarly, it is conceivable that in Bad−/− and BadS155A neurons, the density of STI571 mw KATP channels on the plasma membrane might be enhanced, following a yet unknown mechanism of BAD-dependent regulation of endocytic recycling. Alternatively, the KATP channels might be activated by a signal emanating from mitochondria only when they preferentially use fatty acids: a similar

“second messenger” has been identified in glutamate, released from beta-cells mitochondria upon glucose stimulation to promote insulin secretion ( Maechler and Wollheim, 1999). In conclusion, the work of Giménez-Cassina et al. (2012) paves the way toward the understanding of the molecular mechanisms see more of mitochondrial and metabolic control of seizures. “
“Visualizations are vital tools for neuroscientists of every discipline, affording the ability to reveal relationships in large data sets and communicate information to a broad audience. But with the great power of graphs, one might say, comes great responsibility. Graphs can be fundamentally misleading about underlying

data, and design choices can skew viewers’ perceptions, leading them toward incorrect conclusions out (Jones, 2006). For example, recent studies suggest that results rendered on aesthetically pleasing brain images are perceived as more persuasive and credible than identical information presented in other formats (Keehner et al., 2011 and McCabe and Castel, 2008). Beyond the attractiveness of displays, readers may also be misled by the frequent errors that plague scientific figures (Cleveland, 1984) or a lack of sufficient information. In the words of statistician and graphic design expert Howard Wainer, effective data visualization must “remind us that the data being displayed do contain some uncertainty” and “characterize the size of that uncertainty as it pertains to the inferences we have in mind” (Wainer, 1996). It is our impression that such descriptions (along with more basic elements) are often lacking from published figures. In this NeuroView, we perform a survey of figures from leading neuroscience journals with an eye toward clarity and the portrayal of uncertainty.