Literature DB >> 26854498

Neural dissociations in attitude strength: Distinct regions of cingulate cortex track ambivalence and certainty.

Andrew Luttrell1, Paul E Stillman1, Adam E Hasinski2, William A Cunningham3.   

Abstract

People's behaviors are often guided by valenced responses to objects in the environment. Beyond positive and negative evaluations, attitudes research has documented the importance of attitude strength--qualities of an attitude that enhance or attenuate its impact and durability. Although neuroscience research has extensively investigated valence, little work exists on other related variables like metacognitive judgments about one's attitudes. It remains unclear, then, whether the various indicators of attitude strength represent a single underlying neural process or whether they reflect independent processes. To examine this, we used functional MRI (fMRI) to identify the neural correlates of attitude strength. Specifically, we focus on ambivalence and certainty, which represent metacognitive judgments that people can make about their evaluations. Although often correlated, prior neuroscience research suggests that these 2 attributes may have distinct neural underpinnings. We investigate this by having participants make evaluative judgments of visually presented words while undergoing fMRI. After scanning, participants rated the degree of ambivalence and certainty they felt regarding their attitudes toward each word. We found that these 2 judgments corresponded to distinct brain regions' activity during the process of evaluation. Ambivalence corresponded to activation in anterior cingulate cortex, dorsomedial prefrontal cortex, and posterior cingulate cortex. Certainty, however, corresponded to activation in unique areas of the precuneus/posterior cingulate cortex. These results support a model treating ambivalence and certainty as distinct, though related, attitude strength variables, and we discuss implications for both attitudes and neuroscience research. (c) 2016 APA, all rights reserved).

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Year:  2016        PMID: 26854498     DOI: 10.1037/xge0000141

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  4 in total

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3.  Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study.

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Journal:  Soc Cogn Affect Neurosci       Date:  2017-03-01       Impact factor: 3.436

  4 in total

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