Promises and pitfalls in the development of biomarkers that can promote early intervention in children at risk

Electroencephalogram aperiodic power spectral slope can be reliably measured and predicts ADHD risk in early development

The aperiodic exponent of the electroencephalogram (EEG) power spectrum has received growing attention as a physiological marker of neurodevelopmental psychopathology, including attention-deficit/hyperactivity disorder (ADHD). However, its use as a marker of ADHD risk across development, and particularly in very young children, is limited by unknown reliability, difficulty in aligning canonical band-based measures across development periods, and unclear effects of treatment in later development. Here, we investigate the internal consistency of the aperiodic EEG power spectrum slope and its association with ADHD risk in both infants (n = 69, 1-month-old) and adolescents (n = 262, ages 11-17 years). Results confirm good to excellent internal consistency in infancy and adolescence. In infancy, a larger aperiodic exponent was associated with greater family history of ADHD. In contrast, in adolescence, ADHD diagnosis was associated with a smaller aperiodic exponent, but only in children with ADHD who had not received stimulant medication treatment. Results suggest that disruptions in cortical development associated with ADHD risk may be detectable shortly after birth via this approach. Together, findings imply a dynamic developmental shift in which the developmentally normative flattening of the EEG power spectrum is exaggerated in ADHD, potentially reflecting imbalances in cortical excitation and inhibition that could contribute to long-lasting differences in brain connectivity.

Early experience unpredictability in child development as a model for understanding the impact of the COVID-19 pandemic: A translational neuroscience perspective

Extensive evidence links adverse experiences during childhood to a wide range of negative consequences in biological, socioemotional, and cognitive development. Unpredictability is a core element underlying most forms of early adversity; it has been a focus of developmental research for many years and has been receiving increasing attention recently. In this article, we propose a conceptual model to describe how unpredictable and adverse early experiences affect children's neurobiological, behavioral, and psychological development in the context of the COVID-19 pandemic. We first highlight the critical role of unpredictability in child development by reviewing existing conceptual models of early adversity as they relate to subsequent development across the lifespan. Then, we employ a translational neuroscience framework to summarize the current animal- and human-based evidence on the neurobiological alterations induced by early experience unpredictability. We further argue that the COVID-19 pandemic serves as a global "natural experiment" that provides rare insight to the investigation of the negative developmental consequences of widespread, clustered, and unpredictable adverse events among children. We discuss how the pandemic helps advance the science of unpredictable early adverse experiences. As unpredictability research continues to grow, we highlight several directions for future studies and implications for policymaking and intervention practices.

Systematic review showed that low and moderate prenatal alcohol and nicotine exposure affected early child development

AIM

We systematically reviewed the literature on the influence of low and moderate amounts of prenatal alcohol and nicotine exposure on early child development. This paper also suggests possible directions for future research in order to tackle the controversial findings identified.

METHODS

The PubMed and Web of Science electronic databases were searched together with the reference lists of the selected papers. Empirical studies were included if they focused on the effects of low or moderate exposure, reported outcomes on child development within the first 2 years of life and were published in English between January 2009 and December 2019. The eligibility of the included studies was based on three authors reading the full text.

RESULTS

The final sample comprised 17 papers. Of these, 13 focused on the effects of prenatal alcohol exposure and they reported decreased sensory sensibility, smaller body sizes and increased cognitive capacities. The other four looked at prenatal nicotine exposure, and they primarily found impairments in children's orienting, communication and motor skills.

CONCLUSION

Any amount of prenatal alcohol and nicotine exposure appeared to risk healthy child development. There were many reasons for consumption and numerous effects on the child, but representative data from interdisciplinary research were missing.

Future Directions for Infant Identification and Intervention for Autism Spectrum Disorder from a Transdiagnostic Perspective

By the time they are typically detected, neurodevelopmental disorders like autism spectrum disorder (ASD) are already challenging to treat. Preventive and early intervention strategies in infancy are critical for improving outcomes over the lifespan with significant cost savings. However, the impact of prevention and early intervention efforts is dependent upon our ability to identify infants most appropriate for such interventions. Because there may be significant overlap between prodromal symptoms across neurodevelopmental disorders and child psychopathology more broadly which may wax and wane across development, we contend that the impact of prevention and early intervention efforts will be heightened by identifying early indicators that may overlap across ASD and other commonly co-occurring disorders. This paper summarizes the existing literature on infant symptoms and identification of ASD to demonstrate the ways in which a transdiagnostic perspective could expand the impact of early identification and intervention research and clinical efforts, and to outline suggestions for future empirical research programs addressing current gaps in the identification-to-treatment pipeline. We propose four recommendations for future research that are both grounded in developmental and clinical science and that are scalable for early intervention systems: (1) development of fine-grained, norm-referenced measures of ASD-relevant transdiagnostic behavioral domains; (2) identification of shared and distinct mechanisms influencing the transition from risk to disorder; (3) determination of key cross-cutting treatment strategies (both novel and extracted from existing approaches) effective in targeting specific domains across disorders; and (4) integration of identified measures and treatments into existing service systems.

Levers and barriers to success in the use of translational neuroscience for the prevention and treatment of mental health and promotion of well-being across the lifespan

Neuroscientific tools and approaches such as neuroimaging, measures of neuroendocrine and psychoneuroimmune activity, and peripheral physiology are increasingly used in clinical science and health psychology research. We define translational neuroscience (TN) as a systematic, theory-driven approach that aims to develop and leverage basic and clinical neuroscientific knowledge to aid the development and optimization of clinical and public health interventions. There is considerable potential across basic and clinical science fields for this approach to provide insights into mental and physical health pathology that had previously been inaccessible. For example, TN might hold the potential to enhance diagnostic specificity, better recognize increased vulnerability in at-risk populations, and augment intervention efficacy. Despite this potential, there has been limited consideration of the advantages and limitations of such an approach. In this article, we articulate extant challenges in defining TN and propose a unifying conceptualization. We illustrate how TN can inform the application of neuroscientific tools to realistically guide clinical research and inform intervention design. We outline specific leverage points of the TN approach and barriers to progress. Ten principles of TN are presented to guide and shape the emerging field. We close by articulating ongoing issues facing TN research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Alkoholkonsum während der Schwangerschaft

Zusammenfassung. Kinder sind bereits im Mutterleib sensitiv für Umwelteinflüsse. Pränataler Alkoholkonsum zählt dabei zu den einflussreichsten Risikofaktoren für die frühkindliche Entwicklung. Das Ziel ist es, einen Überblick über die aktuelle Forschungslage zum Thema Alkoholkonsum während der Schwangerschaft zu geben. Darüber hinaus wird der Forschungsstand zu Belastungen und Folgeschäden für die frühkindliche Entwicklung durch pränatale Alkoholexposition, aber auch zu weiteren Risikofaktoren zusammengefasst. Es wird gezeigt, dass das Wissen um die Prävalenz für Alkoholkonsum während der Schwangerschaft sowohl für die Erforschung der Folgen als auch für das Umsetzen von präventiven Maßnahmen ausschlaggebend ist. Die Prävalenzen unterscheiden sich nicht nur regional, sondern können auch durch andere Faktoren beeinflusst werden. Es wird deutlich, dass der Risikofaktor Alkohol und dessen mögliche Auswirkungen auf die frühkindliche Entwicklung nicht isoliert, sondern in Abhängigkeit von weiteren genetischen und Umweltfaktoren betrachtet werden müssen. Denn auch Folgen von weiteren perinatalen Risikofaktoren machen sich in den ersten beiden Lebensjahren bemerkbar. Beispiele für Entwicklungsstörungen in dieser Entwicklungsspanne sind externalisierendes Verhalten und kognitive Beeinträchtigungen. Inwieweit sich perinatale Risikofaktoren jedoch auf Entwicklungsverläufe von Kindern, die durch pränatalen Alkoholkonsum belastet sind, auswirken, erfasst eine umfassende Diskussion. Diese Lücke gilt es zu schließen um das Zusammenspiel perinataler Risiken genauer zu verstehen und adäquat entgegenwirken zu können.