This suggests that the change in response bias was indeed adaptive. The present results showed that “yes” decisions were significantly faster than “no” decisions. Given that there is a known trade-off between speed and accuracy in forced-choice, perceptual decisions (Binder et al. 1999; Huettel et al. 2004; Wenzlaff et al. 2011), and that participants were biased Inhibitors,research,lifescience,medical toward “yes” choices in the motivated conditions, it was important to establish whether there was a general change in decision-making strategy between motivational conditions beyond the motivation-mediated change in bias. Although faster, “yes” decisions

resulted in significantly more correct responses than “no” decisions. This is contrary to the established trade-off between speed and accuracy where slower decisions are more accurate than fast decisions (Binder et al. 1999; Huettel et al. 2004; Wenzlaff et al. 2011). The absence of an interaction between decision type and motivation indicates Inhibitors,research,lifescience,medical that “yes” responses were faster than “no” responses in all conditions. This then excludes a possible confound of a more general strategy shift on change in response bias and its corresponding changes in brain activity. It is possible that the faster, “yes” responses reflect immediate identification of the animal target, while the slower “no” responses are driven

Inhibitors,research,lifescience,medical by the continuing search for a target that is not present. The combined behavioral results suggest Inhibitors,research,lifescience,medical that motivation induced a change in response bias that was adaptive and that the change in bias was not confounded by another more general change in strategy. The IFG met the two criteria proposed a priori—its activity correlated with the change in bias between motivational conditions, and the relationship held true regardless of the valence of motivation that drove the shift in response bias This region

has previously been implicated in the choice between alternatives (Zhang et al. 2004; Moss et al. 2005). For example, Zhang Inhibitors,research,lifescience,medical and colleagues (Zhang et al. 2004) found increased activation in the left IFG when participants viewed a cue that indicated that they must choose between two sets of letters compared to when they viewed a cue indicating they did not have to make a choice. It has also been suggested that the left IFG is Adenosine involved in switching between rules that guide choice selection (Crone et al. 2006; Philipp et al. 2013). During a task where participants were cued as to which choice rule to use when selleck products observing a subsequent target, Crone and colleagues (Crone et al. 2006) found that there was greater left IFG activation during trials that required participants to switch to a different choice rule. This study’s finding that left IFG activation correlated with the change in response bias for both positive and negative motivation is in accordance with the region’s previously observed role in choice selection and rule switching.