The DOI matches its Crossref record; 236 of the 237 references it cites were found in a registry or an index.
Are visual threats prioritized without awareness? A critical review and meta-analysis involving 3 behavioral paradigms and 2696 observers
Abstract
Given capacity limits, only a subset of stimuli give rise to a conscious percept. Neurocognitive models suggest that humans have evolved mechanisms that operate without awareness and prioritize threatening stimuli over neutral stimuli in subsequent perception. In this meta-analysis, we review evidence for this 'standard hypothesis' emanating from 3 widely used, but rather different experimental paradigms that have been used to manipulate awareness. We found a small pooled threat-bias effect in the masked visual probe paradigm, a medium effect in the binocular rivalry paradigm and highly inconsistent effects in the breaking continuous flash suppression paradigm. Substantial heterogeneity was explained by the stimulus type: the only threat stimuli that were robustly prioritized across all 3 paradigms were fearful faces. Meta regression revealed that anxiety may modulate threat-biases, but only under specific presentation conditions. We also found that insufficiently rigorous awareness measures, inadequate control of response biases and low level confounds may undermine claims of genuine unconscious threat processing. Considering the data together, we suggest that uncritical acceptance of the standard hypothesis is premature: current behavioral evidence for threat-sensitive visual processing that operates without awareness is weak. (PsycINFO Database Record
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“ABs in attention-orienting (e.g., on a visual probe task) may also reflect both salience-driven and goal-directed processes.”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [34]
Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
(1970) · Cited by 24,983
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
Lakens, D. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00863 · Cited by 10,303
(1966) · Medical Entomology and Zoology · Cited by 10,293
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 1×
“If this was unsuccessful, we adopted two conservative approaches to estimate the effect, as summary effects calculated from meta-analyses are often modestly inflated (Button et al., 2013): i) Where an effect was reported to be non-significant, but no”
Cited by
Sorted by citations
Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment
Mogg, K., & Bradley, B. P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.001 · Cited by 210
Fernández‐Castilla, B., Jamshidi, L., Declercq, L., Beretvas, S. N., Onghena, P., & Noortgate, W. V. D. (2020) · Behavior Research Methods · doi:10.3758/s13428-020-01373-9 · Cited by 195
The dot-probe task to measure emotional attention: A suitable measure in comparative studies?
Rooijen, R. P.-V., Ploeger, A., & Kret, M. E. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1224-1 · Cited by 176
A Rapid Subcortical Amygdala Route for Faces Irrespective of Spatial Frequency and Emotion
McFadyen, J., Mermillod, M., Mattingley, J. B., Halász, V., & Garrido, M. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3525-16.2017 · Cited by 144
Current practices in meta‐regression in psychology, education, and medicine
Tipton, E., Pustejovsky, J. E., & Ahmadi, H. (2019) · Research Synthesis Methods · doi:10.1002/jrsm.1339 · Cited by 133
Metadata
- Authors
- Hedger, N., Gray, K. L. H., Garner, M., & Adams, W. J.
- Affiliations
- University of Southampton (GB)
- University of Reading (GB)
- Venue
- Psychological Bulletin
- Published
- 2016
- Volume
- 142
- Issue
- 9
- Pages
- 934-968
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2279597820
- Cited by
- 115
- References
- 237
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 9 · 2023: 12 · 2022: 10 · 2021: 22 · 2020: 15 · 2019: 13 · 2018: 9 · 2017: 8 · 2016: 3
- FWCI
- 6.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- CentAUR (University of Reading) (acceptedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- threat bias, unconscious processes, visual awareness, binocular rivalry, continuous flash suppression, fearful faces, anxiety, response bias, meta-regression
- MeSH terms
- Facial Recognition, Anxiety, Awareness, Facial Expression, Fear, Humans, Unconscious, Psychology, Visual Perception, Bias
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 ›
Are you an author, or do you see a problem with this page? Request a review