About this Research Topic
Recently, in an effort to enhance the ecological validity of neuroscientific findings, there has been a push to incorporate more dynamic and complex stimuli in experimental designs, as well as multivariate methods that can assess changes in brain activation patterns both across space and time. Previous research has shown that such paradigms with movies and music have allowed researchers to uncover time-varying patterns of brain activation related to language processing, memory, and executive functioning. Such stimuli are ideal studying emotions as well because they reliably convey and induce a range of feeling states that change over time. The aim of this Research Topic is to compile recent explorations and endeavors that leverage naturalistic paradigms in order to provide a novel understanding of the dynamic functioning of the brain and affective processing. We hope to compile perspectives that utilize a variety of neuroimaging tools (fMRI, EEG, ECoG, MEG) as well as a variety of evocative stimuli (movies, films, stories, etc.). While some researchers have recently examined brain activation associated with realistic stimuli, avenues are needed to facilitate a profitable dialogue both with computational neuroscientists improving methods for analyzing neural signals over time and affective cognitive scientists trying to define, delineate, and map emotional constructs.
Potential topics include, but are not limited to:
• Functional connectivity assessment across different emotion states in response to naturalistic stimuli using one or more neuroimaging techniques;
• Novel analytical methods and models for quantifying and interpreting time-varying patterns of emotional signal, whether it be continuous ratings, psychophysiological measures, or brain activation;
• Relating individual variation in dynamics of the brain activation in response to naturalistic stimuli to development, individual differences in emotion processing, and/or clinically-relevant symptoms and behaviors;
• Identifying, clarifying, and disentangling the temporal patterns associated with different components of affective experience (perception vs. subjective feeling vs aesthetic appreciation);
• General discussion of the advantages and disadvantages of different types of models (univariate vs. multivariate, dynamic vs. static), imaging tools, and stimuli (music vs. film vs. story) for uncovering changes in complex, affective processing.
Keywords: Emotion, neuroimaging, music, movies, naturalistic paradigms
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