Self versus Others/Self‐Regulation

Krendl, Anne C.; Heatherton, Todd F.

doi:10.1002/9780470478509.neubb002044

Cited by 6 publications

(6 citation statements)

References 123 publications

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“…Moreover, long-lasting social emotions (such as remembering an embarrassing moment from adolescence) reduce the likelihood of repeat violations. As might be expected, processing information about social emotions also is associated with activity in ACC and dorsal MPFC (for reviews, see Heatherton & Krendl 2009, Krendl & Heatherton 2009). …”

Section: Detection Of Threatmentioning

confidence: 60%

“…This implies the need for at least four psychological components, the failure of any of which can lead to poor outcomes and censure from the group (Heatherton 2010, Krendl & Heatherton 2009, Mitchell & Heatherton 2009, Wagner & Heatherton 2010b). …”

Section: Components Of the Social Brainmentioning

confidence: 99%

“…From a neuroscience perspective, it is likely that the brain has evolved distinct mechanisms for knowing ourselves, knowing how others respond to us, detecting threats from within the social group, and regulating actions in order to avoid being excluded from those groups (Krendl & Heatherton 2009). Within social psychology, efforts to understand bodily involvement in social phenomena also have a long history, from the use of skin-conductance measures to indicate whether experimental conditions produce arousal (e.g., Lanzetta & Kleck 1970), to the assessment of activity in facial muscles to identify emotional expression (e.g., Cacioppo & Petty 1981), to patient studies that examine the effects of brain injury on social behavior and personality (Klein & Kihlstrom 1998).…”

Section: Components Of the Social Brainmentioning

confidence: 99%

“…Various cortical regions have been implicated in self-regulation (for reviews, see Banfield et al 2004, Krendl & Heatherton 2009), with the prefrontal cortex most notable for the executive functions that support the various cognitive processes that are involved in self-regulation (Curtis & D'Esposito 2003, Goldberg 2001, Miller & Cohen 2001). Much of what is known about the neural substrates of self-regulation comes from neuropsychological case studies (see Wagner et al 2010, Wagner & Heatherton 2010b).…”

Section: Self-regulationmentioning

confidence: 99%

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Neuroscience of Self and Self-Regulation

Heatherton

2011

Annu. Rev. Psychol.

Self Cite

363

282

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As a social species, humans have a fundamental need to belong that encourages behaviors consistent with being a good group member. Being a good group member requires the capacity for self-regulation, which allows people to alter or inhibit behaviors that would place them at risk for group exclusion. Self-regulation requires four psychological components. First, people need to be aware of their behavior so as to gauge it against societal norms. Second, people need to understand how others are reacting to their behavior so as to predict how others will respond to them. This necessitates a third mechanism, which detects threat, especially in complex social situations. Finally, there needs to be a mechanism for resolving discrepancies between self-knowledge and social expectations or norms, thereby motivating behavior to resolve any conflict that exists. This article reviews recent social neuroscience research on the psychological components that support the human capacity for self-regulation.

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Section: Detection Of Threatmentioning

confidence: 60%

Section: Components Of the Social Brainmentioning

confidence: 99%

Section: Components Of the Social Brainmentioning

confidence: 99%

Section: Self-regulationmentioning

confidence: 99%

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Neuroscience of Self and Self-Regulation

Heatherton

2011

Annu. Rev. Psychol.

Self Cite

363

282

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“…Social connectedness has been widely implicated in preserving older adults’ cognitive, physical, and mental wellbeing ( Shankar et al, 2011 ; Boss et al, 2015 ; Kuiper et al, 2015 ). Social-cognitive function—the process by which people understand, store, and apply information about others ( Fiske and Taylor, 1991 )—is essential for maintaining social connectedness (see Krendl and Heatherton, 2009 ), and relates to social relationships in later life ( Krendl et al, 2022 ). Several key social-cognitive domains are disrupted by aging including emotion recognition—decoding another person’s feelings through non-verbal cues ( Ruffman et al, 2008 ; Gonçalves et al, 2018 ; Hayes et al, 2020 ), impression formation—forming and managing impressions of others ( Cassidy et al, 2016 , 2020 ; Krendl and Kensinger, 2016 ; Krendl, 2018 ), and theory of mind—inferring the mental states of others ( Henry et al, 2013 ; Moran, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

They Cannot, They Will Not, or We Are Asking the Wrong Questions: Re-examining Age-Related Decline in Social Cognition

2022

Self Cite

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Social cognition is critical for successfully navigating social relationships. Current evidence suggests that older adults exhibit poorer performance in several core social-cognitive domains compared to younger adults. Neurocognitive decline is commonly discussed as one of the key arbiters of age-related decline in social-cognitive abilities. While evidence supports this notion, age effects are likely attributable to multiple factors. This paper aims to recontextualize past evidence by focusing issues of motivation, task design, and representative samples. In light of these issues, we identify directions for future research to aide our understanding of social-cognitive aging.

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Macro and micro structures in the dorsal anterior cingulate cortex contribute to individual differences in self-monitoring

Yang

Tian

Wei

et al. 2015

Brain Imaging and Behavior

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Individual differences in self-monitoring, which are the capability to adjust behavior to adapt to social situations, influence a wide range of social behaviors. However, understanding of focal differences in brain structures related to individual self-monitoring is minimal, particularly when micro and macro structures are considered simultaneously. The present study investigates the relationship between self-monitoring and brain structure in a relatively large sample of young adults. Voxel-based morphometry (VBM) revealed a significant positive correlation between self-monitoring and gray matter volume in the dorsal cingulate anterior cortex (dACC), dorsal lateral prefrontal cortex (DLPFC), and bilateral ventral striatum (VS). Further analysis revealed a significant negative correlation between self-monitoring and white matter (WM) integrity, as indexed by fractional anisotropy (FA) in the anterior cingulum (ACG) bundle. Moreover, there was a significant positive correlation between self-monitoring and mean radius diffusion (RD). These results shed light on the structural neural basis of variation in self-monitoring.

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Self versus Others/Self‐Regulation

Cited by 6 publications

References 123 publications

Neuroscience of Self and Self-Regulation

Neuroscience of Self and Self-Regulation

They Cannot, They Will Not, or We Are Asking the Wrong Questions: Re-examining Age-Related Decline in Social Cognition

Macro and micro structures in the dorsal anterior cingulate cortex contribute to individual differences in self-monitoring

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