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Unconscious affective processing and empathy: An investigation of subliminal priming on the detection of painful facial expressions
Abstract
Results from recent functional neuroimaging studies suggest that facial expressions of pain trigger empathic mimicry responses in the observer, in the sense of an activation in the pain matrix. However, pain itself also signals a potential threat in the environment and urges individuals to escape or avoid its source. This evolutionarily primitive aspect of pain processing, i.e., avoidance from the threat value of pain, seems to conflict with the emergence of empathic concern, i.e., a motivation to approach toward the other. The present study explored whether the affective values of targets influence the detection of pain at the unconscious level. We found that the detection of pain was facilitated by unconscious negative affective processing rather than by positive affective processing. This suggests that detection of pain is primarily influenced by its inherent threat value, and that empathy and empathic concern may not rely on a simple reflexive resonance as generally thought. The results of this study provide a deeper understanding of how fundamental the unconscious detection of pain is to the processes involved in the experience of empathy and sympathy.
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“Using signal detection analyses, they found that although the pain was more easily detected in dislikable than likable faces overall, lonely individuals were more sensitive (d’) to the presence of pain in dislikable faces than were nonlonely individuals.”
From Social isolation (2011) · cites this paper as [48]
In the citing paper
“Evidence from behavioral and fMRI studies suggest that social isolation increases attention to negative social stimuli (e.g., social threats) as well as increased motivation to reconnect.”
From Social isolation (2011) · cites this paper as [48]
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Metadata
- Authors
- Yamada, M., & Decety, J.
- Affiliations
- University of Chicago (US)
- ORCID
- Yamada, Makiko
- Venue
- Pain
- Published
- 2009-05
- Volume
- 143
- Issue
- 1
- Pages
- 71-75
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2085386756
- Cited by
- 199
- References
- 27
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 8 · 2023: 9 · 2022: 11 · 2021: 5 · 2020: 13 · 2019: 5 · 2018: 10 · 2017: 10 · 2016: 16 · 2015: 11 · 2014: 20 · 2013: 16 · 2012: 15
- FWCI
- 23.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Social Sciences › Psychology › Social Psychology › Emotions and Moral Behavior
- Keywords
- subliminal priming, facial expressions of pain, empathy, empathic concern, pain matrix, emotional value, sympathy, approach-avoidance motivation
- MeSH terms
- Adult, Affect, Attention, Avoidance Learning, Cues, Empathy, Facial Expression, Female, Humans, Pain Measurement, Physical Examination, Sensitivity and Specificity, Subliminal Stimulation, Unconscious, Psychology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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