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The rapid progress of neuroscience and the interdisciplinary collaboration between neuroscience and psychology have begun to provide valuable insights for understanding the dynamic and implicit nature of human motivation by identifying the in vivo neural mechanism of motivation. One of the fundamental questions in the field of the neuroscience of motivation is what neural mechanisms underlie the direction, intensity, and guidance of our motivation and subsequent actions. This prologue explains how neuroscience can contribute to the understanding of human motivation. To accomplish this purpose, we present what neuroscientific data look like, identify 13 key motivation-relevant brain structures, and introduce 3 key motivation-centric brain circuits – namely, the reward circuit, the value-based decision-making pathway, and the self-regulation/self-control network.

Performance feedback about whether responses are correct or incorrect provides valuable information to help guide learning. Although feedback itself has no extrinsic value, it can produce subjective feelings similar to “rewards” and “punishments.” Therefore, feedback can play both an informative and a motivational role. Over the past decade, researchers have identified a neural circuit that processes reward value and promotes reinforcement learning, involving target regions of dopaminergic input (e.g., striatum and ventromedial prefrontal cortex). Importantly, this circuit is engaged by performance feedback even in the absence of reward. Recent research suggests that feedback-related brain activity can be modulated by motivational context, such as whether feedback reflects goal achievement, whether learners are oriented toward the informative versus evaluative aspect of feedback, and whether individual learners are motivated to perform well relative to their peers. This body of research suggests that the brain responds flexibly to feedback, based on the learner’s goals.

Many psychologists posit that intrinsic motivation generated by personal interest and spontaneous satisfactions is qualitatively different from extrinsic motivation generated by external rewards. However, the contemporary neural understanding of human motivation has been developed almost exclusively based on the neural mechanisms of extrinsic motivation. In neuroscience studies on extrinsic motivation, striatum activity has been consistently observed as the core neural system related to human motivation. Recently, a few studies have started examining the neural system behind intrinsic motivation. Though these studies have found that striatum activity is crucial for the generation of intrinsic motivation, the unique neural basis of intrinsic motivation has not yet been fully identified. I suggest that insular cortex activity, known to be related to intrinsic enjoyment and satisfaction, is a unique neural component of intrinsic motivation. In this chapter, I addressed the theoretical background to and empirical evidence for this postulation.

Purpose – This chapter offers an integrative review of psychological and neurobiological differences between younger and older adults that might impact economic behavior. Focusing on key health economic challenges facing the elderly, it offers perspectives on how these psychological and neurobiological factors may influence decision-making over the life course and considers future interdisciplinary research directions.

Methodology/approach – We review relevant literature from three domains that are essential for developing a comprehensive science of decision-making and economic behavior in aging (psychology, neuroscience, and economics), consider implications for prescription drug coverage and long-term care (LTC) insurance, and highlight future research directions.

Findings – Older adults face many complex economic decisions that directly affect their health and well-being, including LTC insurance, prescription drug plans, and end of life care. Economic research suggests that many older Americans are not making cost-effective and economically rational decisions. While economic models provide insight into some of the financial incentives associated with these decisions, they typically do not consider the roles of cognition and affect in decision-making. Research has established that older age is associated with predictable declines in many cognitive functions and evidence is accumulating that distinct social motives and affect-processing profiles emerge in older age. It is unknown how these age differences impact the economic behaviors of older people and implies opportunities for path-breaking interdisciplinary research.

Originality/value of the chapter – Our chapter looks to develop interdisciplinary research to better understand the causes and consequences of age-related changes in economic decision-making and guide interventions to improve public programs and overall social welfare.

Purpose – To review the significance of Hayek's argument, in The Sensory Order, from a connectionist theory of mental architecture to descriptive and normative individualism.

Methodology/approach – The chapter reconstructs Hayek's argument, then replaces Hayek's premises about mental architecture with premises derived from the recent neuroscience of reward and consumption, and then explains why the argument no longer goes through.

Findings – Hayek's abstract mental architecture was closer to adequacy than most subsequent competing alternatives produced by philosophers. His argument from this architecture to individualism is valid. However, we must now supplement the abstract architecture with complexities drawn from recent neuroscience. These show the argument to be unsound. However, if commitment to descriptive individualism is abandoned, then a new argument from psychological premises to normative individualism is available.

Social implications – There is a good argument from psychological premises to normative individualism; but normative individualists should not try to defend their position by resting it on the supposed truth of descriptive individualism.

Originality/value – All the main arguments of the chapter are new to the literature.

Drive and motivation are central to affective neuroscience. Here, we describe the development of conceptualizations from early behaviorist theories to contemporary theories linking motivation closely to reward. Current experimental data suggest key roles of drive and motivation in the wanting, liking, and learning processes underlying the pleasure cycle supporting survival of individuals and species. In particular, the underlying functional neuroanatomy of drive and motivation is now becoming clearer in humans and other mammals, which provides hope for novel more effective interventions for the pervasive problems of drive and motivation in affective and addictive disorders.

We reflect upon the histories of the behavioral science and the neuroscience of motivation, taking note of how these increasingly consilient disciplines inform each other. This volume’s chapters illustrate how the field has moved beyond the study of immediate external rewards to the examination of neural mechanisms underlying varied motivational and appetitive states. Exemplifying this trend, we focus on emerging knowledge about intrinsic motivation, linking it with research on both the play and exploratory behaviors of nonhuman animals. We also speculate about large-scale brain networks related to salience processing as a possibly unique component of human intrinsic motivation. We further review emerging studies on neural correlates of basic psychological needs during decision making that are beginning to shine light on the integrative processes that support autonomous functioning. As with the contributions in this volume, such research reflects the increasing iteration between mechanistic studies and contemporary psychological models of human motivation.

We know a good deal today about how our brains construct emotions. The new fields of interpersonal neurobiology and affective neuroscience are challenging many of our conventional understandings, particularly the notion that thinking and feeling are separate operations and that it is the teacher's primary task to engage students in the former. This chapter addresses some of the findings of recent research on basic emotion command systems, emotional style, neural resonance and neuroplasticity, arguing that we can no longer ignore the evidence that our students’ cognition, emotion and bodily health are fundamentally connected. The arguments for a holistic approach to education are exceedingly robust and have neuropsychological research findings to support them.