This chapter offers a thorough guide to the techniques and instruments used to understand how the brain develops in humans. It covers key learning goals, such as examining how behaviors change as people grow, how studying typical and atypical development inform each other, and what we can and cant learn about brain structure using non-invasive brain scans. It also explains the two main ways we measure brain function. Starting with some back history on methodological tools, this chapter sets the stage for deeper insights into brain development and its impact on our abilities. It highlights the dynamic nature of the field, influenced by both animal studies and rapidly evolving and improving analytical tools and methods. With a focus on methods for studying children, we explore more advanced techniques used in different age groups. Furthermore, this chapter stresses the importance of a scientific mindset and adaptability when new evidence comes to light. It serves as a vital reference for understanding the tools and approaches in developmental cognitive neuroscience.

This chapter delves into the age-old nature versus nurture debate, exploring the factors that mold our individuality. As Margaret Mead observed, our distinctiveness arises from a blend of life experiences and inherent traits. Even identical twins exhibit subtle distinctions. We scrutinize whether our abilities stem from innate brain maturation or learned experiences, with nativists and empiricists offering opposing perspectives. The chapter introduces two key concepts for understanding human development. First, we explore genes – their nature, role in development, and contribution to human diversity. We delve into the intricate mechanisms governing gene expression, including the impact of epigenetics. Second, we examine how the mature brain evolves from prenatal origins, shaped by genetics and epigenetics. We challenge the notion that genes alone dictate our identities, emphasizing the dynamic interplay between genes and the environment. We avoid the term innate, recognizing the remarkable adaptability of the human brain–gene system. Our aim is to embrace the intricate interplay of genetics and environment, unveiling the path from genotype to phenotype – the observable expression of our genetic makeup.

Language, a hallmark of human cognition, is a complex and universal tool for conveying thoughts and ideas. This chapter navigates the intricate landscape of language development, spanning its various dimensions. We begin by dissecting language into its components, be it spoken or signed, and explore its dual nature – both specific and universal. The chapter illuminates the brains remarkable capacity to derive meaning from linguistic input, pinpointing the neural structures underpinning language comprehension and production. Distinguishing between language quantity and quality, we delve into the role of contingent learning and experiential adaptation in molding linguistic abilities. Additionally, we ponder the evolutionary origins of language, contemplating its exclusive human attribute. Drawing from a diverse pool of research, including neuroimaging, behavioral assessments, and developmental studies, this chapter offers a comprehensive view of language development. It underscores the profound influence of gene–environment interactions in enabling infants to acquire language organically, without explicit instruction.

This introductory chapter delves into the inception of developmental cognitive neuroscience, a field shaped by historical inquiries into brain development, childhood learning, and the nature–nurture debate. We trace the origins of this interdisciplinary endeavor, revealing how it has emerged as a pioneering approach to comprehending human development. In this chapter, we dissect the core components of developmental cognitive neuroscience: development, cognition, and neuroscience. We elucidate their interconnectedness, underpinning theories, and evolving methodologies, spotlighting the transformative impact of recent technological strides. Throughout the book, our emphasis remains on the synthesis of these elements, illustrating their collective role in advancing our comprehension of human development. This chapter establishes the groundwork for an engaging exploration of the intricate interplay between brain maturation, cognitive processes, and the unfolding of human potential.

In this chapter, we explore the intricate relationship between early social interactions and the development of social cognition in humans. We address how imitation lays the foundation for subsequent social learning and how humans process information about themselves and others. Beginning with a discussion of our innate social nature, we emphasize the bidirectional influence of social and cognitive processes from birth, highlighting the pivotal role of social interaction in shaping childrens understanding of actions and interpersonal attention. Key topics covered include early biases supporting social cognition, such as contingency awareness and the progression toward understanding physical and psychological causation. The chapter also examines the development of mental state reasoning in individuals, exploring the significance of interest in faces, eyes, biological motion perception, and the differentiation between animate and inanimate objects. Finally, we discuss the impact of atypical social cognition in neurodevelopmental disorders like Autism Spectrum Disorder (ASD), exploring diagnostic and intervention techniques, contributing to a deeper understanding of the developmental underpinnings of social cognition in humans.

Developmental Cognitive Neuroscience (DCN) has made significant strides since its inception in the late 1980s. In this concluding chapter, we celebrate the progress made in understanding brain development from prenatal stages to adulthood, exploring genetics, epigenetics, neural foundations, and their connections to cognitive and socioemotional growth. While DCN research has gained public and policy attention, there are still theoretical, methodological, and practical challenges ahead, with the field being relatively young and open to exploration. We highlight key takeaways, emphasizing the intricate relationships between brain development, cognition, and the environment. The chapter discusses ongoing limitations and emerging research areas, aiming to inspire future researchers, particularly graduate students, to explore these promising directions. Lastly, we explore the broader societal impact of DCN research, showcasing its potential to deepen our understanding of human development and learning, bridging the gaps between genes, brain structure and function, and environmental influences. DCNs evolution promises to enrich our knowledge of human development and learning, offering insights that can benefit society.

In this chapter, we explore how our brains help us read and understand written words. Imagine when you started school – you could talk, recognize some letters, and start to hear the sounds in words. These skills lay the groundwork for learning to read. Good language skills make it easier to learn to read. But heres the twist: our brains werent originally built for reading. Weve only been reading for a few thousand years, while weve been using spoken language for tens of thousands of years. So, our brains adapted to this new skill of reading. We also discuss a special part of the brain called the visual word form area that helps us recognize words. We explore how reading changes our brains and why its crucial to have both good language skills and a writing system around to help us become readers. Dyslexia, a reading difficulty, is also discussed. In simple terms, well uncover how our brains enable us to read by adapting to new cultural practices, like writing, and how they use our visual system to make reading possible.

Numbers are an integral part of our daily lives, essential for making sound decisions. Surprisingly, numerical abilities, often termed number sense, begin developing early in life, shaping our foundational understanding of mathematics. This chapter explores the concept of number sense, demonstrating that even young children exhibit sensitivity to numerical magnitudes in everyday problem-solving scenarios. We delve into the transition from non-symbolic to symbolic numbers and its impact on brain development. As children acquire symbolic numerical skills, brain regions supporting number sense are influenced, and experiences refine these representations. We also explore individual differences in mathematical competence and their neural correlates. Furthermore, we discuss the implications of math interventions on brain development, emphasizing the importance of nurturing numeracy skills from an early age. This understanding has far-reaching implications for education policies, ensuring that every child has the opportunity to unlock their numerical wisdom. This chapter illuminates the journey from number sense to mathematical mastery in the developing mind.

This chapter offers a thorough examination of the processes and outcomes of brain plasticity. We begin by unraveling the historical milestones and breakthroughs that initiated the study of brain plasticity. Exploring the intricate world of cellular mechanisms, we outline the core processes underpinning brain plasticity, making this complex topic accessible. We then delve into the three primary types of brain plasticity: experience-independent, experience-expectant, and experience-dependent, showcasing how they depend on environmental inputs to varying degrees. The concept of critical periods emerges as a central theme. We explore the regulatory mechanisms governing the opening and closing of critical periods and why this adaptive feature is essential for brain development. Further, we outline the expansion-normalization hypothesis, providing evidence that sheds light on how brain plasticity evolves over the course of development. Finally, we explore the profound impact of early life adversity on shaping the developing brain, offering insights into the lifelong consequences of such experiences

In this chapter, we delve into the intricate domains of working memory (WM) and executive functions (EFs), two pivotal cognitive processes. We elucidate WM, delineate its subcomponents, and elucidate the tasks employed to evaluate them. The chapter explores the neural foundations of WM and EFs, spotlighting the key brain regions and networks implicated in these cognitive operations. We unravel the developmental trajectory of WM throughout childhood and adolescence, emphasizing the underlying brain changes fueling this progression. A distinction is made between cool EFs, which function in emotionally neutral contexts, and hot EFs, which govern behavior in high-stakes scenarios. We underscore the influence of WM and EFs on academic achievement, especially in educational and problem-solving contexts. The chapter also provides insights into strategies for enhancing academic performance by either minimizing WM and EF demands or refining these cognitive faculties.

Our visual system is critical to accessing information and communicating with others. The visual pathway begins with a photon of light traveling through the pupil of the eye to the retinal photoreceptors to induce a signaling cascade responsible for transmitting electrical information to the brain.

There are in the order of 86 billion neurons within a human brain. Communication between these neurons is achieved at highly specialized junctions called synapses. Synapses can be chemical or electrical.

Traumatic brain injury(TBI) is one of the leading causes of morbidity and mortality worldwide, with an estimated annual incidence of 69 million individuals worldwide. In 2014, the CDC documented 2.5 million TBI-related emergency department visits in the United States with 288,000 TBI-related hospitalizations and 56,800 TBI-associated mortalities. Furthermore, TBI is the leading cause of long-term disability in children and young adults within the US population, with annual cost estimates in patients suffering from TBI varying from $56 billion to $221 billion.

Basic concepts surrounding probability theory and statistics are discussed, beginning with an introduction of experiments, sample spaces, and events. Then, the idea of random variables and probability distributions are introduced, along with the differences between the continuous and discrete cases and thus also probability density functions and probability mass functions. Concepts surrounding conditional probability, dependence, joint distributions, expectation, and variance are also discussed. The important theorems of probability, namely the law of large numbers and the central limit theorem, are also introduced, along with differences between the frequentist and Bayesian interpretations of probability, before moving on to concepts from statistics. Statistical topics introduced include point estimates, confidence intervals, hypothesis testing, and p-values, including frequentist and Bayesian perspectives on these topics. The chapter ends with a brief discussion of topics in modern statistics.

In this chapter we survey the clinical and pathophysiologic principles of gliomas, the primary tumors of the central nervous system. We describe the histologic and clinical features of the main glioma subtypes, including diffuse astrocytic and oligodendroglial gliomas, as well as circumscribed gliomas such as pilocytic astrocytoma and ependymoma. In 2016 the World Health Organization incorporated genetic markers into the diagnostic criteria for gliomas. We discuss the key molecular discoveries that underlie these diagnostic changes, including IDH mutations and 1p/19q codeletion in diffuse gliomas, and the RELA fusion in ependymomas. We provide an overview of the molecular processes and pathways fundamental to gliomagenesis, including disruptions in cell cycle checkpoints, growth factor signaling, telomere maintenance, and epigenetic regulation. Finally, we highlight the physiologic mechanisms of important clinical sequelae of gliomas, including cerebral edema, immune dysregulation, and systemic hypercoagulability.