Computational approaches to the neuroscience of social perception

Brooks, Jeffrey A.; Stolier, Ryan M.; Freeman, Jonathan B.

doi:10.1093/scan/nsaa127

Cited by 10 publications

(9 citation statements)

References 80 publications

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“…Concerning neuroscientific approaches, abundant research exists within the field of facial processing and decision-making, but this research has not been informed by intersectionality. Extant studies have investigated the neural correlates of “social categories” ( Wiese et al, 2008 ; George, 2016 ; Stolier and Freeman, 2017 ; Delplanque et al, 2019 ; Brooks et al, 2020 ), using narrow examinations of single constructs such as sex/gender, racial categorization, race-related prejudice or sex/gender stereotyping (e.g., Kaul et al, 2011 ; Senholzi et al, 2015 ; Mattan et al, 2018 ; Fisher et al, 2020 ). To our knowledge, only one study has investigated the neural correlates of face processing of multiple social group memberships in face processing.…”

Section: Research Theme #2: How Individuals Process Intersecting Social Identitiesmentioning

confidence: 99%

Reflections on Neurofeminism and Intersectionality Using Insights From Psychology

Duchesne

Trujillo

2021

Front. Hum. Neurosci.

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Intersectionality contends that sex/gender is constituted of and with other social categories, and that the social structures giving rise to inequality should be addressed in research. This is a powerful and important perspective from which to investigate the processes and consequences of social group memberships, one which has been overlooked by most neuroscientific research. In particular, neurofeminism, a field of critical neuroscience that challenges neuroscientific assumptions, methods and interpretations of data that reinforce sexism, has ignored intersectionality to date. In contrast, research in the field of psychology has been engaging with intersectionality for more than a decade. In reflecting on how intersectionality has advanced feminist research in psychology, this paper provides a critical analysis of potential novel research avenues for neurofeminism. We identify three main research themes guided by intersectionality. The first theme involves research centered on understanding the socio-structural causes of health inequalities experienced by individuals with intersecting marginalized social identities; the second concerns research addressing the psychological processing of social group memberships that underlies the enactment of systemic discriminatory practices; and the third theme comprises intersectionality research that aims to challenge psychological epistemology. Drawing parallels between the fields of psychology and neuroscience, we explore the potential benefits and risks of advancing an intersectionality-informed neurofeminism.

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Section: Research Theme #2: How Individuals Process Intersecting Social Identitiesmentioning

confidence: 99%

Reflections on Neurofeminism and Intersectionality Using Insights From Psychology

Duchesne

Trujillo

2021

Front. Hum. Neurosci.

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“…Humans live in a complex and ever-changing social world, but how do we make sense of the highdimensional and time-variable information constantly conveyed by our conspecifics? Functional neuroimaging studies have successfully mapped the brain circuits supporting various dimensions of the social world 1 . Numerous studies have localized specific aspects of social perception into different brain regions.…”

Section: Introductionmentioning

confidence: 99%

“…Humans live in a complex and ever-changing social world, but how do we make sense of the high-dimensional and time-variable information constantly conveyed by our conspecifics? Prior functional imaging studies localized specific aspects of social perception into different brain regions (Brooks et al, 2020). Fusiform gyrus (FG) is consistently involved in the perception of faces (Haxby et al, 2000) and lateral occipitotemporal cortex (LOTC) in the perception of bodies (Downing et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Functional organization of social perception in the human brain

Santavirta

Karjalainen

Nazari-Farsani

et al. 2021

Preprint

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Humans can readily perceive a multitude of features from social interactions, but the phenomenological and neural basis of social perception has yet to be solved. Short film clips with rich social content were shown to 97 healthy participants while their haemodynamic brain activity was measured with fMRI. The stimulus clips were annotated for 112 social features yielding the initial stimulus model. Cluster analysis revealed that 13 dimensions were sufficient for describing the social perceptual space. Univariate GLM using these dimensions as predictors was used to map regional neural response profiles to different social features. Multivariate pattern analysis was then utilized to establish the regional specificity of the responses. The results revealed a posterior-anterior gradient in the processing of social information in the brain. Occipital and temporal regions responded to most social dimensions and the classifier revealed that these responses were dimension specific; in contrast Heschl gyri and parietal areas were also broadly tuned to different social signals yet the responses were domain-general and did not differentiate between dimensions. Altogether these results highlight the distributed nature of social processing in the brain as well as the specific contributions of feature-specific versus domain-general social perceptual processes.

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“…More generally, Brooks et al. (2021) review how the application of MVPA to fMRI data has afforded insights into the neural basis of social perception.…”

Section: Introductionmentioning

confidence: 99%

Computational methods in social neuroscience: recent advances, new tools and future directions

Parkinson

2021

Social Cognitive and Affective Neuroscience

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Recent years have seen a surge of exciting developments in the computational tools available to social neuroscientists. This paper highlights and synthesizes recent advances that have been enabled by the application of such tools, as well as methodological innovations likely to be of interest and utility to social neuroscientists, but that have been concentrated in other sub-fields. Papers in this special issue are emphasized, many of which contain instructive materials (e.g., tutorials, code) for researchers new to the highlighted methods. These include approaches for modeling social decisions, characterizing multivariate neural response patterns at varying spatial scales, using decoded neurofeedback to draw causal links between specific neural response patterns and psychological and behavioral phenomena, examining time-varying patterns of connectivity between brain regions, and characterizing the social networks in which social thought and behavior unfold in everyday life. By combining computational methods for characterizing participants’ rich social environments – at the levels of stimuli, paradigms, and the webs of social relationships that surround people – with those for capturing the psychological processes that undergird social behavior and the wealth of information contained in neuroimaging datasets, social neuroscientists can gain new insights into how people create, understand, and navigate their complex social worlds.

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Computational approaches to the neuroscience of social perception

Cited by 10 publications

References 80 publications

Reflections on Neurofeminism and Intersectionality Using Insights From Psychology

Reflections on Neurofeminism and Intersectionality Using Insights From Psychology

Functional organization of social perception in the human brain

Computational methods in social neuroscience: recent advances, new tools and future directions

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