ArticleTranslational psychiatry2021
Attentive brain states in infants with and without later autism.
Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Machine learning and deep learning applied to EEG and fNIRS for early autism spectrum disorder diagnosis: a systematic review.Frontiers in psychiatry · 2026Pooled it
- Early detection of distinct language development in infants of mothers with severe mental illness using fNIRS.Communications psychology · 2026Article
- Functional connectivity in infants' visual cortex and its links to motion processing and autism.Scientific reports · 2026Article
- Tutorial on using EEG microstates to study moment-to-moment large-scale functional brain network dynamics in neurodevelopment.Frontiers in neuroscience · 2026Article
- Microstate analysis in infancy: Examining infant brain at rest and during experimental tasks.Brain and cognition · 2025Article
- Resting Electroencephalography Microstates and Alpha Power Modulation in Preschool-Aged Children with Autism Spectrum Disorder.Brain sciences · 2025Article
- Combining Real-Time Neuroimaging With Machine Learning to Study Attention to Familiar Faces During Infancy: A Proof of Principle Study.Developmental science · 2025Article
- Spatiotemporal dynamics of EEG microstate networks over the first two years of life: A multi-cohort longitudinal study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Autism Spectrum Disorder in Children: Early Signs and Therapeutic Interventions.Children (Basel, Switzerland) · 2024Review
- Microstate Analyses to Study face Processing in Healthy Individuals and Psychiatric Disorders: A Review of ERP Findings.Brain topography · 2024Review
- Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.Brain topography · 2024Article
- A Developmental Social Neuroscience Perspective on Infant Autism Interventions.Annual review of developmental psychology · 2023Article
- Prediction of autism in infants: progress and challenges.The Lancet. Neurology · 2023Review
- A face image classification method of autistic children based on the two-phase transfer learning.Frontiers in psychology · 2023Article
- Habitual night waking associates with dynamics of waking cortical theta power in infancy.Developmental psychobiology · 2022Article
- Social attention in anorexia nervosa and autism spectrum disorder: Role of social motivation.Autism : the international journal of research and practice · 2022Article
- Early alterations of large-scale brain networks temporal dynamics in young children with autism.Communications biology · 2021Article
- Neural Correlates of Infant Face Processing and Later Emerging Autism Symptoms in Fragile X Syndrome.Frontiers in psychiatry · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
Early difficulties in engaging attentive brain states in social settings could affect learning and have cascading effects on social development. We investigated this possibility using multichannel electroencephalography during a face/non-face paradigm in 8-month-old infants with (FH, n = 91) and without (noFH, n = 40) a family history of autism spectrum disorder (ASD). An event-related potential component reflecting attention engagement, the Nc, was compared between FH infants who received a diagnosis of ASD at 3 years of age (FH-ASD; n = 19), FH infants who did not (FH-noASD; n = 72) and noFH infants (who also did not, hereafter noFH-noASD; n = 40). 'Prototypical' microstates during social attention were extracted from the noFH-noASD group and examined in relation to later categorical and dimensional outcome. Machine-learning was used to identify the microstate features that best predicted ASD and social adaptive skills at three years. Results suggested that whilst measures of brain state timing were related to categorical ASD outcome, brain state strength was related to dimensional measures of social functioning. Specifically, the FH-ASD group showed shorter Nc latency relative to other groups, and duration of the attentive microstate responses to faces was informative for categorical outcome prediction. Reduced Nc amplitude difference between faces with direct gaze and a non-social control stimulus and strength of the attentive microstate to faces contributed to the prediction of dimensional variation in social skills. Taken together, this provides consistent evidence that atypical attention engagement precedes the emergence of difficulties in socialization and indicates that using the spatio-temporal characteristics of whole-brain activation to define brain states in infancy provides an important new approach to understanding of the neurodevelopmental mechanisms that lead to ASD.
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