Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: a
Jessica Morrel1, Kripi Singapuri2, Rebecca J Landa1,3
1Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States.
Insights
Neuroimaging reveals early brain differences in infants at high risk for autism spectrum disorder (ASD), predicting speech and language delays before behavioral signs emerge. This aids in early detection and intervention strategies.
Area of Science:
- Neurodevelopmental disorders
- Autism spectrum disorder (ASD) research
- Pediatric neuroimaging
Background:
- Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with early speech and language delays often being a primary concern.
- Understanding the neural underpinnings of these early delays is crucial for improving early detection and intervention in infants.
- Infants with a family history of autism are at elevated likelihood (EL) for developing ASD, while those without are at low likelihood (LL).
Approach:
- A systematic review synthesized 24 peer-reviewed articles published between 2012 and 2023.
- Studies utilized structural magnetic resonance imaging (MRI), functional MRI (fMRI), functional near-infrared spectroscopy (fNIRS), and electroencephalography (EEG).
- The review focused on neurobiological correlates and predictors of speech and language development in EL and LL infants.
Key Points:
- EL infants, compared to LL infants, demonstrated atypical language-related neural lateralization.
- Alterations in structural and functional brain connectivity were observed in EL infants.
- Mixed profiles of neural sensitivity to speech and non-speech stimuli were noted, with some differences apparent as early as 6 weeks of age.
Conclusions:
- Neuroimaging techniques can detect early neural indicators of speech and language delays in infants at high risk for ASD, preceding overt behavioral symptoms.
- These findings highlight the potential of neuroimaging for early identification and targeted interventions.
- Future research should focus on standardizing experimental paradigms and assessing the real-world applicability of these methodologies.
Abstract:
Autism spectrum disorder (ASD) is an increasingly prevalent and heterogeneous neurodevelopmental condition, characterized by social communicative differences, and a combination of repetitive behaviors, focused interests, and sensory sensitivities. Early speech and language delays are characteristic of young autistic children and are one of the first concerns reported by parents; often before their child's second birthday. Elucidating the neural mechanisms underlying these delays has the potential to improve early detection and intervention efforts. To fill this gap, this systematic review aimed to synthesize evidence on early neurobiological correlates and predictors of speech and language development across different neuroimaging modalities in infants with and without a family history of autism [at an elevated (EL infants) and low likelihood (LL infants) for developing autism, respectively]. A comprehensive, systematic review identified 24 peer-reviewed articles published between 2012 and 2023, utilizing structural magnetic resonance imaging (MRI; n = 2), functional MRI (fMRI; n = 4), functional near-infrared spectroscopy (fNIRS; n = 4), and electroencephalography (EEG; n = 14). Three main themes in results emerged: compared to LL infants, EL infants exhibited (1) atypical language-related neural lateralization; (2) alterations in structural and functional connectivity; and (3) mixed profiles of neural sensitivity to speech and non-speech stimuli, with some differences detected as early as 6 weeks of age. These findings suggest that neuroimaging techniques may be sensitive to early indicators of speech and language delays well before overt behavioral delays emerge. Future research should aim to harmonize experimental paradigms both within and across neuroimaging modalities and additionally address the feasibility, acceptability, and scalability of implementing such methodologies in non-academic, community-based settings.
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