Early processing (N170) of infant faces in mothers of children with autism spectrum disorder and its association with maternal sensitivity

Maternal psychological risk and the neural correlates of infant face processing: A latent profile analysis

Maternal psychological factors, including anxiety, depression, and substance use, may negatively affect parenting. Previous works with mothers have often assessed each of these factors in isolation despite their frequent co-occurrence. Psychological factors have also been associated with neural processing of facial stimuli, specifically the amplitude (i.e., size) and latency (i.e., timing) of the face-specific N170 event-related potential. In the current study, 106 mothers completed measures assessing maternal psychological factors-anxiety, depression, and substance use. A latent profile analysis was used to identify profiles of psychological factors and assess profile associations with the N170 elicited by infant faces and with parental reflective functioning (PRF) as a measure related to caregiving. Two profiles (termed high and low psychological risk) were identified, with the higher risk profile associated with delayed N170 latency responses to infant faces. An exploratory analysis evidenced an indirect effect between the higher psychological risk profile and lower PRF through delayed N170 latency responses to infant faces. Taken together, maternal psychological risk across multiple indicators may together shape neural processing of infant faces, which may have downstream consequences for caregiving.

A scoping review of physiological biomarkers in autism

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by pervasive deficits in social interaction, communication impairments, and the presence of restricted and repetitive behaviors. This complex disorder is a significant public health concern due to its escalating incidence and detrimental impact on quality of life. Currently, extensive investigations are underway to identify prospective susceptibility or predictive biomarkers, employing a physiological biomarker-based framework. However, knowledge regarding physiological biomarkers in relation to Autism is sparse. We performed a scoping review to explore putative changes in physiological activities associated with behaviors in individuals with Autism. We identified studies published between January 2000 and June 2023 from online databases, and searched keywords included electroencephalography (EEG), magnetoencephalography (MEG), electrodermal activity markers (EDA), eye-tracking markers. We specifically detected social-related symptoms such as impaired social communication in ASD patients. Our results indicated that the EEG/ERP N170 signal has undergone the most rigorous testing as a potential biomarker, showing promise in identifying subgroups within ASD and displaying potential as an indicator of treatment response. By gathering current data from various physiological biomarkers, we can obtain a comprehensive understanding of the physiological profiles of individuals with ASD, offering potential for subgrouping and targeted intervention strategies.

Racial disparities in EEG research and their implications for our understanding of the maternal brain

Racial disparities in maternal health are alarming and persistent. Use of electroencephalography (EEG) and event-related potentials (ERPs) to understand the maternal brain can improve our knowledge of maternal health by providing insight into mechanisms underlying maternal well-being, including implications for child development. However, systematic racial bias exists in EEG methodology-particularly for Black individuals-and in psychological and health research broadly. This paper discusses these biases in the context of EEG/ERP research on the maternal brain. First, we assess the racial/ethnic diversity of existing ERP studies of maternal neural responding to infant/child emotional expressions, using papers from a recent meta-analysis, finding that the majority of mothers represented in this research are of White/European ancestry and that the racially and ethnically diverse samples that are present are limited in terms of geography. Therefore, our current knowledge base in this area may be biased and not generalizable across racially diverse mothers. We outline factors underlying this problem, beginning with the racial bias in EEG equipment that systematically excludes individuals of African descent, and also considering factors specific to research with mothers. Finally, we highlight recent innovations to EEG hardware to better accommodate diverse hairstyles and textures, and other important steps to increase racial and ethnic representativeness in EEG/ERP research with mothers. We urge EEG/ERP researchers who study the maternal brain-including our own research group-to take action to increase racial diversity so that this research area can confidently inform understanding of maternal health and contribute to minimizing maternal health disparities.

Latin American Attachment studies: A narrative review

Attachment theory´s core hypotheses (universality, normativity, sensitivity, and competence) are assumed to be applicable worldwide. However, the majority of studies on attachment theory have been conducted in Western countries, and the extent to which these core hypotheses are supported by research conducted in Latin America has never been systematically addressed. The purpose of this systematic narrative literature review is to provide an integrative discussion of the current body of empirical studies concerning attachment theory conducted in Latin American countries. For that purpose, a search was conducted in four electronic databases (Web of Science, PsycInfo, SciELO, and Redalyc) and 82 publications on attachment and/or sensitivity met inclusion criteria. None of the studies reported cases in which an attachment relationship was absent, and a predominance of secure attachment patterns was found, mainly for non-risk samples (NRS). Sensitivity levels were generally deemed adequate in NRS, and related to attachment quality. Attachment security and caregivers' sensitivity were positively associated with child outcomes. Attachment-based intervention studies mostly showed efficacy. In conclusion, Latin American research supports the key theoretical assumptions of attachment theory, mainly in samples of urban middle-class NRS. However, the field of attachment-related research would be enriched by also investing in Latin American studies on caregiving rooted in local concepts and theories.

Processing children's faces in the parental brain: A meta-analysis of ERP studies

Event-related potentials (ERPs) are an excellent tool for investigating parental neural responses to child stimuli. Using meta-analysis, we quantified the results of available studies reporting N170 or LPP/P3 ERP responses to children's faces, targeting three questions: 1) Do parents and non-parents differ in ERP responses to child faces? 2) Are parental ERP responses larger to own vs. unfamiliar child faces? 3) Are parental ERP responses to child faces associated with indicators of parenting quality, such as observed parental sensitivity? Across 23 studies (N = 1035), key findings showed 1) larger N170 amplitudes to child faces in parents than in non-parents (r = 0.19), 2) larger LPP/P3 responses to own vs. unfamiliar child faces in parents (r = 0.19), and 3) positive associations between parental LPP/P3 responses to child faces and parenting quality outcomes (r = 0.15). These results encourage further research particularly with the LPP/P3 to assess attentional-motivational processes of parenting, but also highlight the need for larger samples and more systematic assessments of associations between ERPs and parenting.

Epigenome-Wide Analysis Reveals DNA Methylation Alteration in ZFP57 and Its Target RASGFR2 in a Mexican Population Cohort with Autism

Autism Spectrum Disorders (ASD) comprise a group of heterogeneous and complex neurodevelopmental disorders. Genetic and environmental factors contribute to ASD etiology. DNA methylation is particularly relevant for ASD due to its mediating role in the complex interaction between genotype and environment and has been implicated in ASD pathophysiology. The lack of diversity in DNA methylation studies in ASD individuals is remarkable. Since genetic and environmental factors are likely to vary across populations, the study of underrepresented populations is necessary to understand the molecular alterations involved in ASD and the risk factors underlying these changes. This study explored genome-wide differences in DNA methylation patterns in buccal epithelium cells between Mexican ASD patients (n = 27) and age-matched typically developing (TD: n = 15) children. DNA methylation profiles were evaluated with the Illumina 450k array. We evaluated the interaction between sex and ASD and found a differentially methylated region (DMR) over the 5′UTR region of ZFP57 and one of its targets, RASGRF2. These results match previous findings in brain tissue, which may indicate that ZFP57 could be used as a proxy for DNA methylation in different tissues. This is the first study performed in a Mexican, and subsequently, Latin American, population that evaluates DNA methylation in ASD patients.

Emerging biomarkers for child & family intervention studies: A review of EEG studies of parenting

Most interventions for childhood mental health problems require significant parental involvement, and treatment programs are increasingly incorporating components aimed at enhancing parents' own self-regulation in the context of potentially stressful parent-child interactions. This paper discusses the promise of EEG in examining the rapidly unfolding perceptual, cognitive, emotional, and regulatory processes that occur in parenting, in hopes of ultimately informing child and family interventions. First, we review two separate bodies of work that have used EEG with parents: one examining event-related potential (ERP) measures, and the other examining frontal alpha asymmetry (FAA). We discuss benefits of each within the study of parenting, and also suggest other EEG metrics (such as event-related time-frequency analyses) that can be leveraged to fill current gaps in our knowledge. Finally, we discuss the potential for these findings to inform clinical work with children and families, such as identifying biomarkers that could aid in assessment, treatment recommendations, and monitoring response to interventions.