10 research outputs found

    The neuroscience of social feelings:mechanisms of adaptive social functioning

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    Social feelings have conceptual and empirical connections with affect and emotion. In this review, we discuss how they relate to cognition, emotion, behavior and well-being. We examine the functional neuroanatomy and neurobiology of social feelings and their role in adaptive social functioning. Existing neuroscience literature is reviewed to identify concepts, methods and challenges that might be addressed by social feelings research. Specific topic areas highlight the influence and modulation of social feelings on interpersonal affiliation, parent-child attachments, moral sentiments, interpersonal stressors, and emotional communication. Brain regions involved in social feelings were confirmed by meta-analysis using the Neurosynth platform for large-scale, automated synthesis of functional magnetic resonance imaging data. Words that relate specifically to social feelings were identfied as potential research variables. Topical inquiries into social media behaviors, loneliness, trauma, and social sensitivity, especially with recent physical distancing for guarding public and personal health, underscored the increasing importance of social feelings for affective and second person neuroscience research with implications for brain development, physical and mental health, and lifelong adaptive functioning

    Spinach in the teeth: mental perspectives and neural processing of embarrassment in the face of others’ mishaps

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    In this study, we examined the effects of different mental perspectives during the evaluation of others' embarrassing moments using fMRI

    Examining self-belief formation through artificial beliefs

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    Psychological research has addressed key questions about self-beliefs, such as when they are formed, how they are shaped, or what functions they might have. The fundamental question of how we arrive at these self-beliefs in the first place has mostly been neglected, and there is currently no mechanistic description of the underlying processes. While recent studies have provided insight into how external information is processed when updating discrete self-related information, they do not speak to the processes underlying the formation of a coherent self-belief when the input is connected. One reason, as we argue here, is that processes underlying self-belief formation are rooted in prior learning histories and are affected by motives and emotional states. As a novel approach to examining the processes underlying self-belief formation, we introduce the idea of artificial beliefs. We introduce a framework that shows how motives and emotional states influence feedback processing while forming novel (self-)beliefs. Conceptualizing (self-)belief formation within a feedback-learning framework, and as entangled with prior learning histories and affected by motives and emotional states, we aim to bridge fields between psychology, computational neuroscience, and sociology on the question of how we became what we think we are today

    The Human Affectome

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    Over the last decades, the interdisciplinary field of the affective sciences has seen proliferation rather than integration of theoretical perspectives. This is due to differences in metaphysical and mechanistic assumptions about human affective phenomena (what they are and how they work) which, shaped by academic motivations and values, have determined the affective constructs and operationalizations. An assumption on the purpose of affective phenomenacan be used as a teleological principle to guide the construction of a common set of metaphysical and mechanistic assumptions—a framework for human affective research. In this capstone paper for the special issue “Towards an Integrated Understanding of the Human Affectome”, we gather the tiered purpose of human affective phenomena to synthesize assumptions that account for human affective phenomenacollectively. This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research

    The Human Affectome

    Get PDF
    Over the last decades, the interdisciplinary field of the affective sciences has seen proliferation rather than integration of theoretical perspectives. This is due to differences in metaphysical and mechanistic assumptions about human affective phenomena (what they are and how they work) which, shaped by academic motivations and values, have determined the affective constructs and operationalizations. An assumption on the purpose of affective phenomena can be used as a teleological principle to guide the construction of a common set of metaphysical and mechanistic assumptions-a framework for human affective research. In this capstone paper for the special issue "Towards an Integrated Understanding of the Human Affectome", we gather the tiered purpose of human affective phenomena to synthesize assumptions that account for human affective phenomena collectively. This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research
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