Representational similarity analysis of EEG and fMRI responses to face identities and emotional expressions

Ölander, Kaisu; Muukkonen, Ilkka; Numminen, Jussi; Salmela, Viljami

doi:10.1167/17.10.271

Cited by 2 publications

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“…In contrast, multivariate approaches, such as representational similarity analysis (RSA), preserve the voxel-wise pattern of activation and compare the neural representations of different types of stimuli. Although RSA was initially used to examine similarity in visual perception (Kriegeskorte et al, 2008;Kriegeskorte & Bandettini, 2007), it has been applied to identify similarity in affective processing (Brooks & Freeman, 2018;Ölander et al, 2017). Given that we rarely encounter a single stimulus in isolation, the dynamics of amygdala representation across stimuli are paramount to understanding individual differences in well-being.…”

Section: Introductionmentioning

confidence: 99%

Linking Amygdala Persistence to Real-World Emotional Experience and Psychological Well-Being

et al. 2021

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At the intersection of affective neuroscience and psychology, researchers have aimed to understand how individual differences in the neural processing of affective events map onto to real-world emotional experiences and evaluations of well-being.Using a longitudinal dataset from 52 adults in the Midlife in the US (MIDUS) study, we provide an integrative model of affective functioning: less amygdala persistence following negative images predicts greater positive affect in daily life, which in turn predicts greater psychological well-being seven years later. Thus, day-to-day experiences of positive affect comprise a promising intermediate step that links individual differences in neural dynamics to complex judgements of psychological wellbeing.

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Section: Introductionmentioning

confidence: 99%

Linking Amygdala Persistence to Real-World Emotional Experience and Psychological Well-Being

et al. 2021

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Multimodal evidence on shape and surface information in individual face processing

Nemrodov¹,

Behrmann²,

Niemeier³

et al. 2018

Preprint

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The significance of shape and surface information for face perception is well established, yet their relative contribution to recognition and their neural underpinnings await clarification. Here, we employ image reconstruction to retrieve, assess and visualize such information using behavioral, electroencephalography and functional magnetic resonance imaging data.Our results indicate that both shape and surface information can be successfully recovered from each modality but that the latter is better recovered than the former, consistent with its key role for face representations. Further, shape and surface information exhibit similar spatiotemporal profiles, rely on the extraction of specific visual features, such as eye shape or skin tone, and reveal a systematic representational structure, albeit with more cross-modal consistency for shape than surface.Thus, the present results help elucidate the representational basis of individual face recognition while, methodologically, they showcase the utility of image reconstruction and clarify its reliance on diagnostic visual information.

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Representational similarity analysis of EEG and fMRI responses to face identities and emotional expressions

Cited by 2 publications

References 0 publications

Linking Amygdala Persistence to Real-World Emotional Experience and Psychological Well-Being

Linking Amygdala Persistence to Real-World Emotional Experience and Psychological Well-Being

Multimodal evidence on shape and surface information in individual face processing

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