Differential neural response to positive and negative feedback in planning and guessing tasks
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Effect of reward and punishment on no-risk decision-making in young men: An EEG study
2022, Brain ResearchCitation Excerpt :In this way, behavior is adapted in response to the value of the feedback received (Ernst and Paulus, 2005; Holroyd et al., 2004; Tobler et al., 2005; Zeelenberg, 1999). The value of feedback is a key component of these behavioral changes, so some authors propose that feedback types (reward, punishment) have differential effects on decision-making even when they are not directly related to the response emitted (Elliott et al., 1997). Most studies of the effects of feedback on decision-making have been conducted in contexts that include some type of risk, where the punishment or reward is given probabilistically to participants (Haines et al., 2018; Kessler et al., 2017; Rigoli et al., 2019; Zeelenberg, 1999) it has been suggested that risk and ambiguity are fundamental parameters of decision-making (Zheng et al., 2020).
Frontal-subcortical circuitry in social attachment and relationships: A cross-sectional fMRI ALE meta-analysis
2017, Behavioural Brain ResearchCitation Excerpt :Evidence suggests that the development of hot EF lags behind cool EF [70,71], yet children and adolescents seem to be governed by emotionality more than rational problem solving during social discourse relative to adults [52]. Interestingly, the research that has been done on impairments in the hot EF, as measured by gambling [11], risky decision making (e.g., [13]), and delay discounting [72], supports the idea that impairments in hot EF can occur in the absence of cool EF, and vice versa [39]. To further this understanding, the present meta-analysis used gambling-reward incentive-type tasks [6,73] and ToM tasks [74–76] to examine hot ventral-medial circuit functions.
Modulation of ventral striatal activity by cognitive effort
2017, NeuroImageCitation Excerpt :In addition, two conditions in the current experiment did not require any cognitive effort and resulted in random feedback presentation, thus providing a visuo-motor control for the 1- and 2-step conditions. Consistent with previous findings (Elliott et al., 1997; Delgado et al., 2000; Tricomi et al., 2004, 2006; Tricomi and Fiez, 2008; Dobryakova and Tricomi, 2013; Sescousse et al., 2013; DePasque Swanson and Tricomi, 2014), we observed a robust main effect of valence in the dorsal and ventral striatum, driven by significant differences between positive and negative feedback presentation in all four conditions. Furthermore, in the same voxels that showed a sensitivity to positive versus negative feedback, we also observed enhanced VS activation in association with the more difficult and cognitively effortful condition, i.e., the feedback presentation during the 2-step learning condition.
Contribution of different regions of the prefrontal cortex and lesion laterality to deficit of decision-making on the Iowa Gambling Task
2017, Brain and CognitionCitation Excerpt :However, taking into account the recent neuroimaging of healthy subjects and neuropsychological findings of patients with frontal lesions, it seems that poor performance on the IGT is not exclusively associated with VMPFC or OFC (Clark, Manes, Antoun, Sahakian, & Robbins, 2003; Fellows & Farah, 2003, 2005; Manes et al., 2002; McPherson, Phillips, Della Sala, & Cantagallo, 2009). The dorsolateral prefrontal cortex (DLPFC), the medial frontal gyrus and the anterior cingulate gyrus are also associated within IGT performance (Elliot, Frith, & Dolan, 1997; Ernst et al., 2002; Fukui, Murai, Fukuyama, Hayashi, & Hanakawa, 2005). Manes et al. (2002) have shown that patients with DLPFC damage were more impaired than patients with OFC damage on the IGT task.
Changes in default mode network as automaticity develops in a categorization task
2016, Behavioural Brain Research