ReviewFrontiers in psychiatry2024
Neural correlates of facial recognition deficits in autism spectrum disorder: a comprehensive review.
Review in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A bibliometric analysis of neuroimaging studies on cognitive control in autism spectrum disorder (2000-2025).Frontiers in psychiatry · 2026Pooled it
- Cross-attention-guided subject-adaptive graph learning for multimodal autism classification: integrating structural and functional MRI data.Brain informatics · 2026Article
- A Multi-Atlas Dynamic Connectivity Transformer Fused with 4D Spatiotemporal Modeling for Autism Spectrum Disorder Recognition.Brain sciences · 2026Article
- Lean-NET-Based Local Brain Connectome Analysis for Autism Spectrum Disorder Classification.Bioengineering (Basel, Switzerland) · 2026Article
- Changes in regional homogeneity of the social brain in individuals with autism spectrum disorder after social skills training.Frontiers in psychiatry · 2026Article
- The modulatory effects of facial cues and familiarity in face recognition: a behavioral and eye-tracking investigation.Frontiers in psychology · 2026Article
- Autism Spectrum Disorder and Perivascular Spaces: An Integrative Perspective Across the Lifespan.Journal of clinical medicine · 2025Review
- Recognition and Misclassification Patterns of Basic Emotional Facial Expressions: An Eye-Tracking Study in Young Healthy Adults.Journal of eye movement research · 2025Article
- Delta and Theta Band Power Alterations During Face and Face Pareidolia Perception in Children with Autism Spectrum Disorder: An Electroencephalographic Analysis.Medicina (Kaunas, Lithuania) · 2025Article
- Multimodal Morphometric Similarity Network Analysis of Autism Spectrum Disorder.Brain sciences · 2025Article
- The role of interleukin-37 and interleukin-38 in the development and remission of autism spectrum disorder: a comprehensive review of neuroinflammatory mechanisms and potential therapeutic implications.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by significant impairments in social interaction, often manifested in facial recognition deficits. These deficits hinder individuals with ASD from recognizing facial identities and interpreting emotions, further complicating social communication. This review explores the neural mechanisms underlying these deficits, focusing on both functional anomalies and anatomical differences in key brain regions such as the fusiform gyrus (FG), amygdala, superior temporal sulcus (STS), and prefrontal cortex (PFC). It has been found that the reduced activation in the FG and atypical activation of the amygdala and STS contribute to difficulties in processing facial cues, while increased reliance on the PFC for facial recognition tasks imposes a cognitive load. Additionally, disrupted functional and structural connectivity between these regions further exacerbates facial recognition challenges. Future research should emphasize longitudinal, multimodal neuroimaging approaches to better understand developmental trajectories and design personalized interventions, leveraging AI and machine learning to optimize therapeutic outcomes for individuals with ASD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.