The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
A systematic review and meta-analysis of facial emotion recognition in autism spectrum disorder: The specificity of deficits and the role of task characteristics
Abstract
This review assessed the specificity of facial emotion recognition impairment and the role of task characteristics in facial emotion recognition in autism spectrum disorder (ASD). Based on subsets of 148 studies identified in PubMed and PsycINFO, random-effects meta-analyses showed significant impairment in recognizing all basic facial emotions in ASD. Additionally, ASD involves poorer facial emotion recognition than other clinical conditions and has similar impairment in recognizing emotional and nonemotional facial attributes, as well as in recognizing emotion in faces and other modalities. Furthermore, there are significant moderating effects for emotion complexity and holistic processing, a statistical trend for task type, and no significant effect for motion, social relevance, or stimulus salience on facial emotion recognition in ASD. Altogether, this review suggests nonselective facial emotion recognition impairment in ASD. Such impairment is relatively specific to ASD but is not specific to the recognition of emotional facial attributes or emotion recognition in the face modality. Identifying the role of task characteristics improves our understanding of the mechanisms underlying facial emotion recognition in ASD.
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“Similar to the current findings, Sapey-Triomphe and colleagues reported a comparable perception of tonic volatility combined with altered response model parameters [13] and modified neural correlates of prediction [14] in a probabilistic associative learning task.”
From Predicting emotional valence in autism: a preregistered study in the Bayesian Brain framework (2026) · cites this paper as [13]
In the citing paper
“Multiple studies using the HGF have now documented this similarity: probabilistic associative learning tasks [13, 14], the Wisconsin Card-Sorting task measuring cognitive flexibility and set-shifting [15] and a size-illusion task [16], experiment [9].”
From Predicting emotional valence in autism: a preregistered study in the Bayesian Brain framework (2026) · cites this paper as [13]
In the citing paper
“For example, a recent study by Shi et al. [5] investigated prior updating in ASD using the central tendency effect in combination with Kalman. They found an initial underweighting of priors in autistic adults, resonating with some previous findings indicating atypical priors [13, 56], which normalised by the end of the task, resonating with contrasting previous findings of intact priors in ASD [57”
From Predicting emotional valence in autism: a preregistered study in the Bayesian Brain framework (2026) · cites this paper as [13]
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Metadata
- Authors
- Yeung, M. K.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Yeung, Michael K.
- ORCID
- Yeung, Michael K.
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 133
- Pages
- 104518
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W4205331548
- Cited by
- 187
- References
- 47
- Citations by year
- 2026: 46 · 2025: 47 · 2024: 62 · 2023: 29 · 2022: 3
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- autism spectrum disorder, facial emotion recognition, basic emotions, task characteristics, holistic processing, facial attributes, social cognition
- MeSH terms
- Facial Recognition, Autism Spectrum Disorder, Emotions, Facial Expression, Humans, Recognition, Psychology
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