Tracking the dynamics of the social brain: ERP approaches for social cognitive and affective neuroscience
Author(s) -
David M. Amodio,
Bruce D. Bartholow,
Tiffany A. Ito
Publication year - 2013
Publication title -
social cognitive and affective neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.229
H-Index - 103
eISSN - 1749-5024
pISSN - 1749-5016
DOI - 10.1093/scan/nst177
Subject(s) - psychology , social neuroscience , cognition , perception , affective neuroscience , cognitive neuroscience , social cognition , neuroimaging , affect (linguistics) , cognitive psychology , event related potential , brain activity and meditation , cognitive science , neuroscience , electroencephalography , communication
Event-related potential (ERP) approaches to social cognitive and affective neuroscience (SCAN) are not as widely used as other neuroimaging techniques, yet they offer several unique advantages. In particular, the high temporal resolution of ERP measures of neural activity make them ideally suited for studying the dynamic interplay of rapidly unfolding cognitive and affective processes. In this article, we highlight the utility of ERP methods for scientists investigating questions of SCAN. We begin with a brief description of the physiological basis of ERPs and discussion of methodological practices. We then discuss how ERPs may be used to address a range of questions concerning social perception, social cognition, attitudes, affect and self-regulation, with examples of research that has used the ERP approach to contribute important theoretical advances in these areas. Whether used alone or in combination with other techniques, the ERP is an indispensable part of the social and affective neuroscientist's methodological toolkit.
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