The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.
Social threat perception and the evolution of paranoia
Abstract
Rapid and efficient judgments about the significance of social threat are important for species survival and may recruit specialized neurocognitive systems, consistent with biological models of threat processing. We review cognitive, psychophysiological, neuropsychological, and neuroimaging evidence in support of specialized neural networks subserving the processing of facial displays of threat. Cognitive research suggests that faces depicting anger are detected quickly when presented amongst other facial expressions, on the basis of distinguishing facial features. Psychophysiological investigations using visual scanpath techniques provide evidence for increased foveal attention to facial features of threat-related expressions (anger, fear), which may facilitate rapid detection and subsequent appraisal of the significance of threat (such as the direction of impending threat). Neuropsychological and neuroimaging studies implicate a primary role for the amygdale and pre-frontal cortices in interpreting signs of danger from facial expressions and other social stimuli. Subtle disturbances in these neurocognitive systems underlying efficient threat detection (manifesting in attentional biases and aberrant neural activity) may result in abnormally heightened perception of social threat, as seen in clinical levels of social anxiety and/or persecutory delusions in schizophrenia. Clinical states of paranoia may therefore reflect normal variation (i.e. biases) in the adaptive mechanisms which have evolved, in the Darwinian sense, to facilitate efficient threat detection in humans. As such, clinical levels of paranoia may represent the inevitable cost of efficient threat perception--or 'justified' suspicion--that is necessary for survival of the human species.
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“Feeling paranoid and not accepted during social interaction may become detrimental for wellbeing, leading to increased isolation [9].”
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“Paranoia affects representations of the social environment, resulting in unease in social situations and reduced social approach. The resulting social avoidance will further fuel mistrust, giving rise to a downward spiral [9].”
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Metadata
- Authors
- Green, M. J., & Phillips, M. L.
- Affiliations
- Macquarie University (AU)
- King's College London (GB)
- Corresponding author
- Green, Melissa J
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 28
- Issue
- 3
- Pages
- 333-342
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W2128125341
- Cited by
- 369
- References
- 138
- Citations by year
- 2026: 29 · 2025: 18 · 2024: 15 · 2023: 15 · 2022: 13 · 2021: 12 · 2020: 16 · 2019: 21 · 2018: 13 · 2017: 22 · 2016: 12 · 2015: 25 · 2014: 19 · 2013: 17 · 2012: 20
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- paranoia, social threat perception, anger, fear, amygdala, prefrontal cortex, attentional bias, social anxiety, persecutory delusions, schizophrenia, threat detection, visual scanpath
- MeSH terms
- Affect, Aggression, Animals, Attention, Delusions, Emotions, Biological Evolution, Humans, Paranoid Behavior, Paranoid Disorders, Perception, Schizophrenic Psychology, Social Environment
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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