Integrative model of dorsal anterior cingulate cortex supported by reward-based decision-making task and event-related FMRI

Bush, George; Vogt, Brent A.; Holmes, Jennifer; Dale, Anders M.; Greve, Douglas N.; Jenike, Michael A.; Rosen, Bruce R.

doi:10.1016/s1053-8119(01)91646-5

Cited by 11 publications

(10 citation statements)

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“…This idea is in line with an ethological perspective: in nature, animals are motivated to learn efficiently motor behaviors that have been repetitively associated with rewarding outcomes, in order to increase the likelihood of reaching these outcomes again in the future (Barron et al, 2010;Yamazaki et al, 2016). Whereas past research on motivation has traditionally focused on the impact of reward on decision-making (Balleine and O'Doherty, 2010;Bush et al, 2002;Dayan and Niv, 2008;Derosiere et al, 2017b;2017a;Gershman and Daw, 2017;Hare et al, 2011;O'Doherty, 2004;Padoa-Schioppa, 2011;Schultz, 2015;Shima and Tanji, 1998), there has been a recent rise in interest regarding its influence on motor learning (Therrien et al, 2016, Mawase et al, 2017, Uehara et al, 2019Vassiliadis et al, 2019;Chen et al, 2017;Sporn et al, 2020, Vassiliadis and Derosiere, 2020, Holland et al, 2019.…”

Section: Introductionmentioning

confidence: 83%

Reward boosts reinforcement-based motor learning

et al. 2021

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Besides relying heavily on sensory and reinforcement feedback, motor skill learning may also depend on the level of motivation experienced during training. Yet, how motivation by reward modulates motor learning remains unclear. In 90 healthy subjects, we investigated the net effect of motivation by reward on motor learning while controlling for the sensory and reinforcement feedback received by the participants. Reward improved motor skill learning beyond performance-based reinforcement feedback. Importantly, the beneficial effect of reward involved a specific potentiation of reinforcement-related adjustments in motor commands, which concerned primarily the most relevant motor component for task success and persisted on the following day in the absence of reward. We propose that the long-lasting effects of motivation on motor learning may entail a form of associative learning resulting from the repetitive pairing of the reinforcement feedback and reward during training, a mechanism that may be exploited in future rehabilitation protocols.

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Section: Introductionmentioning

confidence: 83%

Reward boosts reinforcement-based motor learning

et al. 2021

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“…Previous studies have suggested that the vmPFC engages in self-referential mentalizing (Rilling et al, 2002;Jenkins and Ranganath, 2010;Krienen et al, 2010;Tamir and Mitchell, 2010), while the dmPFC is associated with non-self-referential mentalizing and deeper objective reasoning (Mitchell et al, 2006;Coricelli and Nagel, 2009;Shamay-Tsoory et al, 2009). Other studies indicate that, compared with the dmPFC, the vmPFC tends to be activated during reward-based decision making (Bush et al, 2002;Williams et al, 2004;Rushworth et al, 2005). Taken together with these previous findings, the present results suggest that the dmPFC plays a role in processing uncertain and complex social information, whereas the vmPFC is involved in processing familiar and well-known social stimuli that enable subjects to predict reward more easily than unpredictable and complex stimuli.…”

Section: Discussionmentioning

confidence: 99%

Network structure underlying resolution of conflicting non-verbal and verbal social information

Watanabe¹,

Yahata²,

Kawakubo³

et al. 2013

Soc Cogn Affect Neurosci

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Social judgments often require resolution of incongruity in communication contents. Although previous studies revealed that such conflict resolution recruits brain regions including the medial prefrontal cortex (mPFC) and posterior inferior frontal gyrus (pIFG), functional relationships and networks among these regions remain unclear. In this functional magnetic resonance imaging study, we investigated the functional dissociation and networks by measuring human brain activity during resolving incongruity between verbal and non-verbal emotional contents. First, we found that the conflict resolutions biased by the non-verbal contents activated the posterior dorsal mPFC (post-dmPFC), bilateral anterior insula (AI) and right dorsal pIFG, whereas the resolutions biased by the verbal contents activated the bilateral ventral pIFG. In contrast, the anterior dmPFC (ant-dmPFC), bilateral superior temporal sulcus and fusiform gyrus were commonly involved in both of the resolutions. Second, we found that the post-dmPFC and right ventral pIFG were hub regions in networks underlying the non-verbal- and verbal-content-biased resolutions, respectively. Finally, we revealed that these resolution-type-specific networks were bridged by the ant-dmPFC, which was recruited for the conflict resolutions earlier than the two hub regions. These findings suggest that, in social conflict resolutions, the ant-dmPFC selectively recruits one of the resolution-type-specific networks through its interaction with resolution-type-specific hub regions.

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“…Phase-locking values were calculated for the same frequencies described earlier (4 -50 Hz), with a baseline correction window of 100 ms prefeedback presentation. All phase-locking analyses used the ACC source as the source reference, given this region's integral role in reinforcement learning (Bush et al, 2002). Thus, higher phase-locking values indicate that a given source exhibited greater phase locking with oscillations at a given frequency in the ACC source.…”

Section: Methodsmentioning

confidence: 99%

Behavioral and neural indices of trust formation in cross-race and same-race interactions.

Ökten¹,

Magerman²,

Forbes³

2020

Journal of Neuroscience, Psychology, and Economics

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A large body of evidence has accumulated on intergroup biases in the perception of trustworthiness; out-group members tend to be perceived as less trustworthy than in-group members. However, the past research almost exclusively focused on one-shot evaluations of others' actions or features, instead of examining the process of trust formation in action and over time. The current set of studies examines trust as a dynamic process by considering the interaction between expectations and information received about others' responses in a coin flip game. Two studies showed that White individuals tend to be more sensitive to trust-relevant information regarding a White (vs. Black) partner. Study 1 showed that participants' perceptions of trustworthiness of a White (vs. Black) partner aligned with the partner's overall tendency to tell the truth to a greater degree and earlier in the game. In Study 2, feedback-related negativity amplitudes and anterior cingulate cortex-dorsolateral prefrontal cortex phase-locking in response to prediction errors predicted White participants' future judgments only when interacting with a White but not a Black partner. Implications of the findings in terms of intergroup interactions are discussed.

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Integrative model of dorsal anterior cingulate cortex supported by reward-based decision-making task and event-related FMRI

Cited by 11 publications

References 0 publications

Reward boosts reinforcement-based motor learning

Reward boosts reinforcement-based motor learning

Network structure underlying resolution of conflicting non-verbal and verbal social information

Behavioral and neural indices of trust formation in cross-race and same-race interactions.

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