Interactions Between Emotions And Social Context Basic Clinical And Non Human Evidence
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Author | : Maria Ruz |
Publisher | : Frontiers E-books |
Total Pages | : 218 |
Release | : 2014-07-17 |
Genre | : Interpersonal relations |
ISBN | : 2889193195 |
The emotions that we feel and also those that we perceive in others are crucial to the social functioning of both humans and non-human animals. Although the role of context has been extensively studied in basic sensory processing, its relevance for social cognition and emotional processing is little understood. In recent years, several lines of research at the behavioral and neural levels have highlighted the bidirectional interactions that take place between emotions and social context. Experienced emotions, even when incidental, bias decision-making. Remarkably, even basic emotions can be strongly influenced by situational contexts. In addition, both humans and non-human animals can use emotional expressions strategically as a means of influencing and managing the behavioral response of others in relation to specific environmental situations. Moreover, social emotions (e.g., engaged in moral judgment, empathic concern and social norms) seem to be context-dependent, which also questions a purely abstract account of emotion understanding and expression, as well as other social cognition domains. The present Research Topic of Frontiers in Human Neuroscience highlights the need for a situated approach to emotion and social cognition. We presented theoretical and empirical work at the behavioral and neural levels that contribute to our understanding of emotion within a highly contextualized social realm, and vice-versa. Relevant contributions are presented from diverse fields, including ethology, neurology, biology, cognitive and social neuroscience, and as well as psychology and neuropsychiatry. This integrated approach that entails the interaction between emotion and social context provide important new insights into the growing field of social neuroscience.
Author | : Valentina Tesio |
Publisher | : Frontiers Media SA |
Total Pages | : 158 |
Release | : 2019-10-16 |
Genre | : |
ISBN | : 2889631060 |
Author | : Joy D. Osofsky |
Publisher | : Springer Nature |
Total Pages | : 524 |
Release | : 2024 |
Genre | : Child development |
ISBN | : 3031486277 |
This book examines basic knowledge in the field of infant and early childhood mental health. It focuses on cognitive, social, and emotional development of infants and toddlers and examines different aspects of neurobiological development, including genes and epigenetics as well as biobehavioral synchrony. In addition, the book addresses parenting and caregiving issues, including attachment, parent-infant relationships, and high-risk factors (e.g., the effects of trauma on the infant-caregiver relationship, adolescent parenting, and parents with substance abuse disorders).Key areas of coverage include:Social-emotional and cognitive development during infancy and early childhood.Temperament in infants and toddlers.Neurobiological influences from infancy through early childhood.Parenting and caregiving of infants and toddlers.Reflective functioning, mentalization, and infant development.The WAIMH Handbook of Infant and Early Childhood Mental Health, Volume One, is a must-have reference for researchers, professors, and graduate students as well as clinicians and all related therapists and professionals in infancy and early child development, developmental psychology, pediatrics, child and adolescent psychiatry, clinical social work, public health and all related disciplines.
Author | : Patrizia Thoma |
Publisher | : Frontiers E-books |
Total Pages | : 149 |
Release | : |
Genre | : |
ISBN | : 2889191125 |
In our everyday life, we constantly monitor our behaviour and adapt our responses following performance errors and feedback information from our environment. Receiving positive or negative feedback, which can be social, monetary or some other type of feedback classifiable as good or bad, can encourage us to continue with a specific action or may lead us to discontinue the same behaviour, respectively. Additionally, we daily observe errors being committed by other people or other people receiving feedback for their behaviour. We are able to infer how they feel in response to errors or feedback, and whether we feel sorry for their failures and happy about their successes may depend on our empathic concern and on the relationship to the observed person. At the same time, we can also learn from other people’s errors by adaptively modifying our own behaviour. Recently, a growing number of researchers in the neuroscientific community has begun to establish links between the ability to empathize with others and error/feedback processing. The ACC seems to be strongly involved in both error/feedback processing and in affective empathic responding, and positive relationships between error- and feedback-related ACC activity and self-rated dispositional empathy have been reported. Various contextual factors, like the relationship between the observer and the observed person, or person-related characteristics, like age, gender and psychopathological symptoms, may potentially modify this relationship. In spite of these theoretical advances, there are still crucial gaps in our knowledge of the different contextual factors and personality characteristics that affect performance monitoring in humans. For instance, it is not well understood how different empathy components might relate to different stages and different forms of error/feedback processing. Also, the ability to engage in empathic perspective taking might be more related to observational than to active learning; and empathy should become more relevant when the behaviour observed in someone else is also relevant for one’s own actions. One promising account in studying the relationship between person characteristics, performance context and action monitoring is the investigation of these concepts across the lifespan. While performance monitoring might be increasingly compromised in older individuals due to structural and functional changes in the relevant brain areas, it might be partly compensated for by a heightened tendency and experience to engage in affective perspective taking. Furthermore, studying clinical populations may help us to disentangle the complex interdependence between performance monitoring and psychopathological symptoms. Overall, for the current Research Topic issue, we would like to solicit original research articles, reviews as well as opinion and method papers, which investigate the neurocognitive mechanisms supporting performance monitoring providing a link to contextual factors or personality traits. Studies using a range of different methods (behavioural, imaging, electrophysiological, etc.), investigating healthy populations with or without a lifespan perspective or clinical populations are welcome, and authors with different academic backgrounds and working in different disciplines are encouraged to participate in order to promote a lively and integrative debate.
Author | : James R. Liddle |
Publisher | : Oxford University Press, USA |
Total Pages | : 399 |
Release | : 2021 |
Genre | : Psychology |
ISBN | : 0199397740 |
Résumé : This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note that the online publication date for this handbook is the date that the first article in the title was published online. For more information, please read the site FAQs.
Author | : Leor Roseman |
Publisher | : Frontiers Media SA |
Total Pages | : 297 |
Release | : 2022-08-25 |
Genre | : Science |
ISBN | : 288976835X |
Author | : Shai Ben- David |
Publisher | : Elsevier |
Total Pages | : 296 |
Release | : 2024-03-14 |
Genre | : Computers |
ISBN | : 0443136726 |
Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. Artificial Intelligence for Medicine is beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field. - Covers the basic concepts of Artificial Intelligence and Machine Learning, methods and practices, and advanced topics and applications to clinical and precision medicine - Presents readers with an understanding of how AI is revolutionizing medicine by demonstrating the applications of computational intelligence to the field, along with an awareness of how AI can improve upon traditional medical structures - Provides researchers, practitioners, and project stakeholders with a complete guide for applying AI techniques in their projects and solutions
Author | : Manas K. Mandal |
Publisher | : Springer |
Total Pages | : 292 |
Release | : 2014-10-10 |
Genre | : Psychology |
ISBN | : 8132219341 |
This important volume provides a holistic understanding of the cultural, psychological, neurological and biological elements involved in human facial expressions and of computational models in the analyses of expressions. It includes methodological and technical discussions by leading scholars across the world on the subject. Automated and manual analysis of facial expressions, involving cultural, gender, age and other variables, is a growing and important area of research with important implications for cross-cultural interaction and communication of emotion, including security and clinical studies. This volume also provides a broad framework for the understanding of facial expressions of emotion with inputs drawn from the behavioural sciences, computational sciences and neurosciences.
Author | : Shahabeddin Vahdat |
Publisher | : Frontiers Media SA |
Total Pages | : 157 |
Release | : 2017-05-25 |
Genre | : |
ISBN | : 2889451666 |
Both the acquisition of new and the modification of previously acquired motor skills are necessary to achieve optimal levels of motor performance in everyday functioning as well as to attain expert performance levels that are evident in sports and arts. A multitude of factors have been shown to influence the various stages of the learning process, from the acquisition (i.e., motor memory encoding) to the consolidation and subsequent retention of a skill. These factors, or modulators, can affect learning through online processes taking place during practice of a new motor skill or through offline processes occurring in the absence of task performance (i.e., after training sessions). Although much of the recent research from various disciplines has placed an increased emphasis on identifying factors that can influence the motor learning process, we lack an integrated understanding of online and offline determinants of motor skill behaviours. Potential motor learning modulators include, but are certainly not limited to, stress, anxiety, attention, executive functioning, social interaction, stimulus-response mapping, training schedule/regimen, learning environment, vigilance/consciousness states including sleep, wakefulness or meditation, brain stimulation, interference as well as resting state brain connectivity. Pathological and non-pathological (i.e., development or aging) changes in the brain can also be conceptualized as potential modulators. The aim of this Research Topic is to bridge research from the cognitive, sensory, motor and psychological domains using various behavioural paradigms and neuroimaging techniques in order to provide a comprehensive view of the online and offline modulators of motor learning, and how they interact to influence motor performance. Critically, the overarching goal is to gain a better understanding of how motor behaviour can be optimized. We believe that merging research from diverse neuroscientific communities would contribute to fulfilling this goal and potentially highlight possible shared neurophysiological mechanisms influencing motor learning.
Author | : Rosario Montirosso |
Publisher | : Frontiers Media SA |
Total Pages | : 218 |
Release | : 2020-02-13 |
Genre | : |
ISBN | : 2889634760 |