2021
DOI: 10.3389/fnhum.2021.675068
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Naturalistic Stimuli in Affective Neuroimaging: A Review

Abstract: Naturalistic stimuli such as movies, music, and spoken and written stories elicit strong emotions and allow brain imaging of emotions in close-to-real-life conditions. Emotions are multi-component phenomena: relevant stimuli lead to automatic changes in multiple functional components including perception, physiology, behavior, and conscious experiences. Brain activity during naturalistic stimuli reflects all these changes, suggesting that parsing emotion-related processing during such complex stimulation is no… Show more

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Cited by 66 publications
(70 citation statements)
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References 195 publications
(433 reference statements)
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“…Video stimuli allowed us to present a narrative context that contributes to elicit different emotions. Such stimuli allow us to better understand the neural mechanisms underlying emotions and also enable us to better generalize to real-life contexts (Saarimäki, 2021). However, our feelings may change as we watch a video or a movie and elicit multiple emotions (Raz et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
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“…Video stimuli allowed us to present a narrative context that contributes to elicit different emotions. Such stimuli allow us to better understand the neural mechanisms underlying emotions and also enable us to better generalize to real-life contexts (Saarimäki, 2021). However, our feelings may change as we watch a video or a movie and elicit multiple emotions (Raz et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…However, our feelings may change as we watch a video or a movie and elicit multiple emotions (Raz et al, 2016). This requires one to find the time at which emotion was experienced to isolate better the neural mechanisms specific to that emotional experience (Saarimäki, 2021). An important contribution of the study is the temporal localization of emotion experience to probe the frequency band that best captured the brain dynamics of such experiences.…”
Section: Discussionmentioning
confidence: 99%
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“…Videos are arguably more ecologically valid, and permit greater compliance in the scanner (Eickhoff, Milham, & Vanderwal, 2020; Vanderwal, Eilbott, & Castellanos, 2019) making them an ideal candidate to use for developmental and clinical samples (e.g., Richardson, 2019). While vfMRI data can be analyzed using conventional task‐ and connectivity‐ based approaches, a distinct analysis approach that is based on measuring similarity or synchrony among participant brain responses has gained prominence (Saarimäki, 2021). This inter‐subject correlation‐based approach (ISC; Hasson et al, 2004) presents its own distinct analytic requirements due to the dependencies inherent in similarity measurements (Chen et al, 2016; Nastase, Gazzola, Hasson, & Keysers, 2019).…”
Section: Introductionmentioning
confidence: 99%