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"Cdk5 therefore appears to be crucial only for later stages of the maturation of newborn neurons. The authors suggest that the improper connections formed by these cells could interfere with information processing in the hippocampus. However, they did not carry out any behavioural tests to explore the consequences of blocking cdk5 activity. This would be an interesting thing to do next, given the recent discovery that new neurons are needed for new memories. Nevertheless, the new findings could have important implications for the use of stem cells in cell replacement therapies for neurological diseases, as they suggest that cells would have to be transplanted accurately into specific locations in order to be effective. " (Neurophilosophy)

In a study published recently in the Journal of Neuroscience, UCLA neurology professor Paul Thompson and colleagues used a new type of brain-imaging scanner to show that intelligence is strongly influenced by the quality of the brain's axons, or wiring that sends signals throughout the brain. The faster the signaling, the faster the brain processes information. And since the integrity of the brain's wiring is influenced by genes, the genes we inherit play a far greater role in intelligence than was previously thought.

The Disgust Scale is a self-report personality scale that was developed by Jonathan Haidt, Clark McCauley, and Paul Rozin as a general tool for the study of disgust. It is used to measure individual differences in sensitivity to disgust, and to examine the relationships among different kinds of disgust. This page contains information on the emotion of disgust and on the Disgust Scale. Please feel free to print any of the papers on this page, and to use the Disgust Scale for research, education, or other non-commercial purposes. If you obtain any interesting findings with the Disgust Scale, we would appreciate hearing about them, and we would be happy to post a link to you or your work on this page.

By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the study of social decision-making has the potential to extend our knowledge of brain mechanisms involved in social decisions and to advance theoretical models of how we make decisions in a rich, interactive environment. Research has already begun to illustrate how social exchange can act directly on the brain's reward system, how affective factors play an important role in bargaining and competitive games, and how the ability to assess another's intentions is related to strategic play. These findings provide a fruitful starting point for improved models of social decision-making, informed by the formal mathematical approach of economics and constrained by known neural mechanisms. -- Sanfey 318 (5850): 598 -- Science

A novel bioinformatics approach can predict vaccine effectiveness for the influenza season, and indicates that the current vaccines are likely to be effective against H3N2 flu viruses in the U.S. 2017/2018 flu season, according to research published online Nov. 29 in F1000 Research. Slobodan Paessler, D.V.M., Ph.D., from the University of Texas Medical Branch, and Veljko Veljkovic, Ph.D., from Biomed Protection, both in Galveston, Texas, used a bioinformatics platform to predict vaccine effectiveness for the 2017/2018 influenza season in the United States. The hemagglutinin HA1 region of 251 and 113 human H3N2 viruses collected in Australia and the United States from July to September 2017 were analyzed. The informational spectrum method-based phylogenetic analysis of H3N2 viruses was performed to serve as a base for predicting vaccine effectiveness. The researchers found that analyses of Australian viruses generated two clusters; the vaccine virus was placed in the smaller group. As a result, the vaccine was predicted not to be efficient against most Australian H3N2 viruses in the 2017 flu season; low vaccine effectiveness was reported in Australia in the 2017 flu season in accordance with this prediction. The U.S. H3N2 viruses were also grouped into two clusters, but the vaccine virus was placed in the largest cluster encompassing 71 percent of analyzed viruses. Consequently, the vaccine effectiveness is expected not to be suboptimal in the United States.