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Substantial genetic correlations have been reported across psychiatric disorders and numerous cross-disorder genetic variants have been detected. To identify the genetic variants underlying general psychopathology in childhood, we performed a genome-wide association study using a total psychiatric problem score.
The aim of this research note is to encourage child language researchers and clinicians to give careful consideration to the use of domain-specific tests as a proxy for language; particularly in the context of large-scale studies and for the identification of language disorder in clinical practice.
A diagnosis of an autism spectrum condition (autism) provides limited information regarding an individual’s level of functioning, information key in determining support and funding needs.
The past three decades have seen a major shift in our understanding of the strong links between autism and identity. These developments have called for careful consideration of the language used to describe autism.
Individuals exhibiting pronounced autistic traits (e.g., social differences and specialised interests) may struggle with cognitive empathy (i.e., the ability to infer others' emotions), although the relationship with affective empathy (i.e., the ability to share others' emotions) is less clear in that higher levels of autistic traits may be linked with increased affective empathy for negative emotions but reduced affective empathy for positive emotions. The current study investigates this empathy profile and whether alexithymia and emotion dysregulation help to explain it.
Parent-child interactions (PCI) in infants with an elevated likelihood (EL) of autism start to diverge from other infants toward the end of the first year. This divergence is often attributed to emerging features of autism impacting infant social interactions in ways that become increasingly amplified. The aim was to identify which, if any, 12-month autism features were associated with later PCI qualities.
Emerging evidence suggests that observers tend to form less favorable first impressions toward autistic people than toward non-autistic people. These negative impressions may be associated with immediate behavioral responses, as well as long-lasting attitudes toward those being observed that may negatively impact their psychosocial wellbeing.
Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood.
Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
A comparison of parents’ experiences of getting a diagnosis for their child with autism, attention deficit hyperactivity disorder (ADHD) and both diagnoses can inform our understanding of common and unique themes across these neurodevelopmental conditions.