Developmental Cognitive Neuroscience Research Articles

A Practical Guide to EEG Hyperscanning in Joint Action Research: From Motivation to Implementation.

Developments in cognitive neuroscience have led to the emergence of hyperscanning, the simultaneous measurement of brain activity from multiple people. Hyperscanning is useful for investigating social cognition, including joint action, because of its ability to capture neural processes that occur within and between people as they coordinate actions toward a shared goal. Here, we provide a practical guide for researchers considering using hyperscanning to study joint action and seeking to avoid frequently raised concerns from hyperscanning skeptics. We focus specifically on EEG hyperscanning, which is widely available and optimally suited for capturing fine-grained temporal dynamics of action coordination. Our guidelines cover questions that are likely to arise when planning a hyperscanning project, ranging from whether hyperscanning is appropriate for answering one's research questions to considerations for study design, dependent variable selection, data analysis, and visualization. By following clear guidelines that facilitate careful consideration of the theoretical implications of research design choices and other methodological decisions, joint action researchers can mitigate interpretability issues and maximize the benefits of hyperscanning paradigms.

Leveraging brain science for impactful advocacy and policymaking: The synergistic partnership between developmental cognitive neuroscientists and a parent-led grassroots movement to drive dyslexia prevention policy and legislation

Reading proficiency is crucial for academic, vocational, and economic success and has been closely linked to health outcomes. Unfortunately, in the United States, a concerning 63% of fourth-grade children are reading below grade level, with approximately 7%–10% exhibiting a disability in word reading, developmental dyslexia. Research in developmental cognitive neuroscience indicates that individuals with dyslexia show functional and structural brain alterations in regions processing reading and reading-related information, with some of these differences emerging as early as preschool and even infancy. This suggests that some children start schooling with less optimal brain architecture for learning to read, emphasizing the need for preventative education practices. This article reviews educational policies impacting children with dyslexia and highlights a decentralized parent-led grassroots movement, Decoding Dyslexia, which centers the voices of those directly impacted by dyslexia. It utilizes civic engagement practices, advocacy and lobbying on local, federal, and social media platforms, and strong partnerships with scientists to drive systems-level change in educational practices, leading to dyslexia prevention legislation across the U.S. The ongoing partnership continues to address the profound gaps between scientific findings and policymaking to drive systems-level change for contemporary challenges in educational practices within a learning disabilities framework.

The promise and pitfalls of a strength-based approach to child poverty and neurocognitive development: Implications for policy

There has been significant progress in understanding the effects of childhood poverty on neurocognitive development. This progress has captured the attention of policymakers and promoted progressive policy reform. However, the prevailing emphasis on the harms associated with childhood poverty may have inadvertently perpetuated a deficit-based narrative, focused on the presumed shortcomings of children and families in poverty. This focus can have unintended consequences for policy (e.g., overlooking strengths) as well as public discourse (e.g., focusing on individual rather than systemic factors). Here, we join scientists across disciplines in arguing for a more well-rounded, “strength-based” approach, which incorporates the positive and/or adaptive developmental responses to experiences of social disadvantage. Specifically, we first show the value of this approach in understanding normative brain development across diverse human environments. We then highlight its application to educational and social policy, explore pitfalls and ethical considerations, and offer practical solutions to conducting strength-based research responsibly. Our paper re-ignites old and recent calls for a strength-based paradigm shift, with a focus on its application to developmental cognitive neuroscience. We also offer a unique perspective from a new generation of early-career researchers engaged in this work, several of whom themselves have grown up in conditions of poverty. Ultimately, we argue that a balanced strength-based scientific approach will be essential to building more effective policies.

The convergence of naturalistic paradigms and cognitive neuroscience methods to investigate memory and its development

Studies that involve lab-based stimuli (e.g., words, pictures) are fundamental in the memory literature. At the same time, there is growing acknowledgment that memory processes assessed in the lab may not be analogous to how memory operates in the real world. Naturalistic paradigms can bridge this gap and over the decades a growing proportion of memory research has involved more naturalistic events. However, there is significant variation in the types of naturalistic studies used to study memory and its development, each with various advantages and limitations. Further, there are notable gaps in how often different types of naturalistic approaches have been combined with cognitive neuroscience methods (e.g., fMRI, EEG) to elucidate the neural processes and substrates involved in memory encoding and retrieval in the real world. Here we summarize and discuss what we identify as progressively more naturalistic methodologies used in the memory literature (movie, virtual reality, staged-events inside and outside of the lab, photo-taking, and naturally occurring event studies). Our goal is to describe each approach’s benefits (e.g., naturalistic quality, feasibility), limitations (e.g., viability of neuroimaging method for event encoding versus event retrieval), and discuss possible future directions with each approach. We focus on child studies, when available, but also highlight past adult studies. Although there is a growing body of child memory research, naturalistic approaches combined with cognitive neuroscience methodologies in this domain remain sparse. Overall, this viewpoint article reviews how we can study memory through the lens of developmental cognitive neuroscience, while utilizing naturalistic and real-world events.

The Insanity Defence: Is It Still Fit for Purpose?

The M'Naghten Rules formulated in 1843 have provided the basis for the insanity defence in many Western countries, including New Zealand. Although many candidates for the insanity defence experience psychosis, the principal determining factor is whether they knew their criminal act was morally wrong, a difficult metaethical judgement. In New Zealand the advent of methamphetamine abuse has created a significant challenge for forensic assessors in differentiating between mental disease and chronic intoxication, raising the question of whether the insanity defence as currently formulated is fit for purpose in assessing criminal culpability in such cases. The article explores this problem through an examination of a number of leading cases, noting the variable character of expert testimony on insanity where methamphetamine is involved. The article then examines the question of whether evidence of mental states falling short of insanity may be utilised to support a palliative claim reducing murder to manslaughter. A tentative new approach invites consideration of allowing investigation of insanity in cases involving meth-induced paranoia, whether or not the threshold of disease of the mind is met. In the concluding sections the article examines the impact of developments in cognitive neuroscience and asks whether neuroscience can help in determining criminal responsibility and whether it supports a "control limb" in a reformulated insanity defence. The article concludes with a brief discussion of mental disorder and impulsive aggression.

Conceptual Clarity and Methodological Rigor in the Examination of Culture Within Developmental Cognitive Neuroscience

Conceptual Clarity and Methodological Rigor in the Examination of Culture Within Developmental Cognitive Neuroscience

A Neuroecosocial Perspective on Adolescent Development

Adolescence is a period of life that encompasses biological maturation and profound change in social roles. It is also a period associated with the onset of mental health problems. The field of developmental cognitive neuroscience has advanced our understanding of the development of the brain within its immediate social and cultural context. In a time of rising rates of mental health problems among adolescents across the globe, it is important to understand how the wider societal, structural, and cultural contexts of young people are impacting their biological and social-cognitive maturation. In this article, we review the landscape of youth mental health and brain development during adolescence and consider the potential role of brain research in understanding the effects of current social determinants of adolescent mental health, including socioeconomic inequality, city living, and eco-anxiety about the climate crisis.

Award for Distinguished Scientific Contributions: BJ Casey.

The Awards for Distinguished Scientific Contributions are presented to persons who, in the opinion of the Committee on Scientific Awards, have made distinguished theoretical or empirical contributions to basic research in psychology. The 2022 recipients of the APA Distinguished Scientific Contribution Awards were recognized by the 2021 Board of Scientific Affairs and selected by the 2021 Committee on Scientific Awards. For her outstanding contributions to human brain development theory and assessment. BJ Casey's efforts and insights have helped launch the field of developmental cognitive neuroscience. Her pioneering work showed that the development of self-control is paralleled by differential maturation of the prefrontal cortex and subcortical neurobiology. This research revolutionized theories of how cognitive control, impulsivity, and emotion regulation change during adolescence. She provides translation from research in animal models and humans to policy, including neuroscientifically informed reforms of the juvenile justice system and mental health policy. She has been a pioneer in her scholarship, innovation, and dedication to the next generation of scholars. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Executive function: A secret pathway to enter the future of adolescent brain cognitive development (ABCD)

Objectives In this systematic literature review, we aim to investigate the research designs of studies on adolescent brain executive function (EF) over the past decade to deduce a potential approach for future studies. Methods We performed literature searches on PubMed, Science Direct, and Google Scholar including studies that investigate adolescent brain development, specifically empirical studies between the years of 2012 and 2022 on adolescent EF using neuroimaging techniques. We then set up inclusion and exclusion criteria and performed study selection, data extraction, and data analysis. Results Our findings illustrated that while there was a remarkable rise in adolescent EF studies over the past decade, there were few interventional studies that aimed at advancing the neural developmental opportunities of the adolescent years. Conclusion These findings suggest that in order to define best practices for advancing adolescent EF, developmental cognitive neuroscience and the field of education need to form a stronger partnership to design more creative and appropriate interventions. Keywords adolescence, executive function, developmental cognitive neuroscience, education, partnership, neuroimaging

On the Application of Developmental Cognitive Neuroscience in Educational Environments.

The paper overviews components of neurologic processing efficiencies to develop innovative methodologies and thinking to school-based applications and changes in educational leadership based on sound findings in the cognitive neurosciences applied to schools and learners. Systems science can allow us to better manage classroom-based learning and instruction on the basis of relatively easily evaluated efficiencies or inefficiencies and optimization instead of simply examining achievement. "Medicalizing" the learning process with concepts such as "learning disability" or employing grading methods such as pass-fail does little to aid in understanding the processes that learners employ to acquire, integrate, remember, and apply information learned. The paper endeavors to overview and provided reference to tools that can be employed that allow a better focus on nervous system-based strategic approaches to classroom learning.

Socioeconomic status and reading outcomes: Neurobiological and behavioral correlates.

In this chapter, we examine reading outcomes and socioeconomic status (SES) using a developmental cognitive and educational neuroscience perspective. Our focus is on reading achievement and intervention outcomes for students from lower SES backgrounds who struggle with reading. Socioeconomic disadvantage is a specific type of vulnerability students experience, which is often narrowly defined based on parental income, education level, and/or occupational prestige. However, implications of socioeconomic status extend broadly to a suite of areas relevant for reading outcomes including a student's access to resources, experiences, language exposure, academic outcomes, and psychological correlates. Underlying this constellation of factors are brain systems supporting the processing of oral and written language as well as stress-related factors. We review the implications of SES and reading achievement, and their intersectionality, for the science and practice of reading instruction.

A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets

As the largest longitudinal study of adolescent brain development and behavior to date, the Adolescent Brain Cognitive Development (ABCD) Study® has provided immense opportunities for researchers across disciplines since its first data release in 2018. The size and scope of the study also present a number of hurdles, which range from becoming familiar with the study design and data structure to employing rigorous and reproducible analyses. The current paper is intended as a guide for researchers and reviewers working with ABCD data, highlighting the features of the data (and the strengths and limitations therein) as well as relevant analytical and methodological considerations. Additionally, we explore justice, equity, diversity, and inclusion efforts as they pertain to the ABCD Study and other large-scale datasets. In doing so, we hope to increase both accessibility of the ABCD Study and transparency within the field of developmental cognitive neuroscience.

Study on the validity of the theoretical paradigm of art therapy for vulnerable children

Purpose The vulnerable children refer to the special group of children with deviation in the process of children's psychological development and personality formation due to growth dilemmas. Materials and methods This may incur a series of serious social and family problems. The vulnerable children mainly cover the children suffering from children's psychological problems, such as childhood autism, autism, social anxiety and hypersensitivity, fear, depression, and PTSD arising from other factors. At present, the research results at home and abroad mainly focus on the psychological dynamic correlation investigation and solution discussion of a certain kind of difficult factor in the children's psychological development based on statistical data by the experimental methods, such as scale and model, and there is a blind spot in the humanistic orientation theory construction of psychological treatment for vulnerable children, causing the social reflection on children's psychological predicament from the humanistic perspective cannot be performed in related researches and going against searching for universal and integral theoretical paradigm for solving related problems. Results Sophisticated technologies for the observations have emerged increasingly for enabling the psychological features of vulnerable children through developmental cognitive neuroscience experiments. Conclusion This paper introduces humanistic art therapy theory, focuses on the construction of a theoretical paradigm, and verifies its effectiveness based on the experimental results on the psychological development of vulnerable children, with an efficient performance. IMPLICATIONS FOR REHABILITATION This study mainly refers to children with difficulty in social inclusion and psychological development. The results showed that two kinds of art therapy can obviously improve the psychological disorders of vulnerable children. The goal was to enhance self-cognition, strengthen emotional interaction, and implement positive motivation.

Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices.

The excellent temporal resolution and advanced spatial resolution of magnetoencephalography (MEG) makes it an excellent tool to study the neural dynamics underlying cognitive processes in the developing brain. Nonetheless, a number of challenges exist when using MEG to image infant populations. There is a persistent belief that collecting MEG data with infants presents a number of limitations and challenges that are difficult to overcome. Due to this notion, many researchers either avoid conducting infant MEG research or believe that, in order to collect high‐quality data, they must impose limiting restrictions on the infant or the experimental paradigm. In this article, we discuss the various challenges unique to imaging awake infants and young children with MEG, and share general best‐practice guidelines and recommendations for data collection, acquisition, preprocessing, and analysis. The current article is focused on methodology that allows investigators to test the sensory, perceptual, and cognitive capacities of awake and moving infants. We believe that such methodology opens the pathway for using MEG to provide mechanistic explanations for the complex behavior observed in awake, sentient, and dynamically interacting infants, thus addressing core topics in developmental cognitive neuroscience.

A Commentary on Whitall and Colleagues’ 2020 Article “Motor Development Research: II. The First Two Decades of the 21st Century Shaping Our Future”

This commentary reflects on the discussions of Whitall et al.’s paper “Motor Development Research: II. The First Two Decades of the 21st Century Shaping Our Future.” Comments focus on (a) the emergence and importance of the Developmental Systems approach to motor development, (b) the perceived ambiguity between Dynamic and Developmental Systems approaches, and (c) a case for the evolution of Developmental Motor Neuroscience from the field of Developmental Cognitive Neuroscience.

A practical guide to applying machine learning to infant EEG data

Electroencephalography (EEG) has been widely adopted by the developmental cognitive neuroscience community, but the application of machine learning (ML) in this domain lags behind adult EEG studies. Applying ML to infant data is particularly challenging due to the low number of trials, low signal-to-noise ratio, high inter-subject variability, and high inter-trial variability. Here, we provide a step-by-step tutorial on how to apply ML to classify cognitive states in infants. We describe the type of brain attributes that are widely used for EEG classification and also introduce a Riemannian geometry based approach for deriving connectivity estimates that account for inter-trial and inter-subject variability. We present pipelines for learning classifiers using trials from a single infant and from multiple infants, and demonstrate the application of these pipelines on a standard infant EEG dataset of forty 12-month-old infants collected under an auditory oddball paradigm. While we classify perceptual states induced by frequent versus rare stimuli, the presented pipelines can be easily adapted for other experimental designs and stimuli using the associated code that we have made publicly available.

Using child-friendly movie stimuli to study the development of face, place, and object regions from age 3 to 12 years.

Scanning young children while they watch short, engaging, commercially‐produced movies has emerged as a promising approach for increasing data retention and quality. Movie stimuli also evoke a richer variety of cognitive processes than traditional experiments, allowing the study of multiple aspects of brain development simultaneously. However, because these stimuli are uncontrolled, it is unclear how effectively distinct profiles of brain activity can be distinguished from the resulting data. Here we develop an approach for identifying multiple distinct subject‐specific Regions of Interest (ssROIs) using fMRI data collected during movie‐viewing. We focused on the test case of higher‐level visual regions selective for faces, scenes, and objects. Adults (N = 13) were scanned while viewing a 5.6‐min child‐friendly movie, as well as a traditional localizer experiment with blocks of faces, scenes, and objects. We found that just 2.7 min of movie data could identify subject‐specific face, scene, and object regions. While successful, movie‐defined ssROIS still showed weaker domain selectivity than traditional ssROIs. Having validated our approach in adults, we then used the same methods on movie data collected from 3 to 12‐year‐old children (N = 122). Movie response timecourses in 3‐year‐old children's face, scene, and object regions were already significantly and specifically predicted by timecourses from the corresponding regions in adults. We also found evidence of continued developmental change, particularly in the face‐selective posterior superior temporal sulcus. Taken together, our results reveal both early maturity and functional change in face, scene, and object regions, and more broadly highlight the promise of short, child‐friendly movies for developmental cognitive neuroscience.

Cognitive neural mechanisms underlying the impact of oxytocin on fear acquisition and extinction

<p id="p00005">Fear is a biologically adaptive response to environmental threats, and fear learning plays a key role in adaptive function. However, maladaptive fear learning underlies emotional disorders, such as anxiety and posttraumatic stress disorder (PTSD). Together with the development of cognitive neuroscience and the integration of multidisciplinary research, the study on the cognitive neural mechanism of fear has become a hot topic in the field of emotion. Using the classical fear conditioning paradigm, researchers have identified the brain circuits of fear learning and extinction. Specifically, extensive imaging researches have revealed several key regions involved in fear acquisition, including the amygdala, insula, dorsal anterior cingulate (dACC) and thalamus. Moreover, the amygdala, hippocampus and ventromedial prefrontal cortex (vmPFC) served key roles in fear memory consolidation and reconsolidation, and the amygdala, hippocampus, vmPFC, and dACC are required for fear extinction. Cumulative evidence has suggested that oxytocin plays a crucial role in the process of fear acquisition, fear consolidation and fear extinction. Therefore, firstly, we summarized the paradigms of fear acquisition and fear extinction as well as the cognitive neural mechanisms of fear acquisition and fear extinction based on the fingdings of corresponding meta-analyses. Secondly, we focused on the cognitive neural mechanisms underlying the impact of oxytocin on fear acquisition and fear extinction. Next, we summarized the neurobiological circuits of oxytocin influence on fear emotion processing. Finally, we prospected the future researches on the cognitive neural mechanisms underlying the impact of oxytocin on fear processing. The present study sheds insights into the cognitive neural mechanisms underlying the impact of oxytocin on fear processing. Moreover, the present study provides an potential treatment for the fear-related disorders. <p id="p00006">Oxytocin has been shown to facilitate fear acquisition as it affects brain activity in several regions including amygdala, prefrontal cortex, anterior cingulate gyrus, insula and hippocampus, as well as the functional connectivity between them. Oxytocin also enhances fear extinction by regulating amygdala and medial prefrontal cortex activity, as well as enhancing the functional connectivity between prefrontal cortex and amygdala. Furthermore, oxytocin can regulate the activity of the amygdala, anterior cingulate gyrus, insula, hippocampus, vmPFC and other fear-related brain regions, thus affecting the processes of fear acquisition and extinction. Specifically, cumulative evidence has indicated that intranasal oxytocin attenuates amygdala (hyper)activity and enhances functional coupling of the amygdala with the vmPFC and hippocampus, resulting in increased top-down control over the fear response. In addition, intranasal oxytocin has also been found to attenuate amygdala—brainstem connectivity and to change activity and connectivity in nodes of the salience network (i.e., insula and dACC). Furthermore, oxytocin administration may enhance social behavior through modulating the hypothalamus—pituitary—adrenal (HPA) axis and autonomic nervous system (ANS) function, which may provide a potential treatment for the fear-related disorders. However, it should be noted that the dose, time and location of oxytocin injection might have different effects on the processes of fear acquisition and extinction. <p id="p00007">Future studies should focus on gender differences, neural network underlying the impact of oxytocin on fear consolidation and reconsolidation and the pathological study examining oxytocin effect on fear emotion processing to better reveal the cognitive neural mechanisms underlying the impact of oxytocin on.

Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives

The last decades have seen significant advancements in non-invasive neuroimaging technologies that have been increasingly adopted to examine human brain development. However, these improvements have not necessarily been followed by more sophisticated data analysis measures that are able to explain the mechanisms underlying functional brain development. For example, the shift from univariate (single area in the brain) to multivariate (multiple areas in brain) analysis paradigms is of significance as it allows investigations into the interactions between different brain regions. However, despite the potential of multivariate analysis to shed light on the interactions between developing brain regions, artificial intelligence (AI) techniques applied render the analysis non-explainable. The purpose of this paper is to understand the extent to which current state-of-the-art AI techniques can inform functional brain development. In addition, a review of which AI techniques are more likely to explain their learning based on the processes of brain development as defined by developmental cognitive neuroscience (DCN) frameworks is also undertaken. This work also proposes that eXplainable AI (XAI) may provide viable methods to investigate functional brain development as hypothesised by DCN frameworks.

Multimedia Interventions for Neurodiversity: Leveraging Insights from Developmental Cognitive Neuroscience to Build an Innovative Practice.

Multimedia technologies and virtual reality offer unique possibilities to manipulate sensory, motor, interpersonal, and cognitive processes contributing to atypical developmental trajectories, thus holding an explosive potential to design innovative and engaging interventions. However, there has been little progress in developing interventions that go beyond the patient’s diagnosis or the fascination of technology and rather spring from a deep understanding of the specific neuropsychological processes to be nurtured in individuals. This perspective paper outlines how recent insights from developmental cognitive neuroscience can be leveraged to promote children’s multidimensional development and highlight future directions and challenges for innovating both research and clinical practice. Finally, we focus on some practical examples of multimedia and virtual reality activities we have designed to stimulate bodily-self experiences, which are crucial for building up a coherent sense of self and lay the foundation for interacting with the external world. Atypical bodily self is an early marker of heterogeneous neurodevelopmental conditions (such as autism spectrum disorders) and seems to be under-targeted in research and clinical approaches.