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For many years it has been speculated that some learning and attention problems in children are related to underlying problems in neurological functioning. In fact, the IDEA (1997) definition of learning disabilities utilizes terminology that specifically includes neurological processes and conditions: Specific learning disabilities means a disorder in one or more of the basic psychological processes involved in understanding or in using language, spoken or written, which may manifest itself in an imperfect ability to listen, think, speak, read, write, spell, or do mathematical calculations. The term includes such conditions as perceptual handicaps, brain injury, minimal brain dysfunction, dyslexia, and developmental aphasia. The term does not include children who have learning problems which are primarily the result of visual, hearing, or motor handicaps, of mental retardation, or of environmental, cultural, or economic disadvantage.This chapter begins with a review of the role of neuroimaging in advancing an understanding of the basis and nature of learning and attention problems. The ever-increasing sophistication of neurodiagnostic technology has made it possible to obtain more precise information about neuroanatomical and neurophysiological bases of behavior, including learning and attention. Advances in technology have greatly increased the ability to study the functioning of the brain during the performance of relatively complex mental activities. With this advanced technology it is becoming increasingly possible to visualize normal and abnormal brain functioning, including important components of basic academic skills. The chapter includes a discussion of the recent evidence about the neurological basis of learning and attention problems.

This chapter introduces electroencephalography (EEG), a measure of neurophysiological activity, as a critical method for investigating individual and team decision-making and cognition. EEG is a useful tool for expanding the theoretical and research horizons in organizational cognitive neuroscience, with a lower financial cost and higher portability than other neuroimaging methods (e.g., functional magnetic resonance imaging). This chapter briefly reviews past work that has applied cognitive neuroscience methods to investigate cognitive processes and outcomes. The focus is on describing contemporary EEG measures that reflect individual cognition and compare them to complementary measures in the field of psychology and management. The authors discuss how neurobiological measures of cognition relate to and may predict both individual cognitive performance and team cognitive performance (decision-making). This chapter aims to assist scholars in the field of managerial and organizational cognition in understanding the complementarity between psychological and neurophysiological methods, and how they may be combined to develop new hypotheses in the intersection of these research fields.

Behavioral ethics research in the field of management is burgeoning. While many advancements have been made, applying an organizational neuroscience approach to this area of research has the possibility of creating significant new theoretical, empirical, and practical contributions. We overview the major areas of behavioral ethics research concerning moral cognition and conation, and then we concentrate on existing neuroscience applications to moral cognition (moral awareness, moral judgment/reasoning, effects of moral emotions on moral reasoning, and ethical ideology). We also demonstrate the usefulness of neuroscience applications to organizational behavioral ethics research by summarizing a recent study on the neuroscience of ethical leadership. We close by recommending future research that applies neuroscience to topics such as moral development, group ethical judgments and group moral approbation, and moral conation (e.g., moral courage and moral identity). Our overall purpose is to encourage future neuroscience research on organizational behavioral ethics to supplement and/or complement existing psychological approaches.

The tendency to study autistic children has resulted in the lack of research about autistic seniors. This chapter begins by showing the results of two studies that have measured the volume of research about autistics based on age brackets. Two factors that have hampered research about autistic seniors are then presented. This chapter then concludes by highlighting seven topics where more research can be conducted about autistic seniors. These topics are research about their physical health, cognitive abilities, mental health, employment, transport, healthcare and specific issues relating to autistics residing in a nursing home/aged care facility.

The original contribution that this chapter makes to autism spectrum research is to examine the imbalance in research between autistic children and autistic seniors and to provide several suggestions where more research can be conducted about autistic seniors.

We study research designs where a binary treatment changes discontinuously at the border between administrative units such as states, counties, or municipalities, creating a treated and a control area. This type of geographically discontinuous treatment assignment can be analyzed in a standard regression discontinuity (RD) framework if the exact geographic location of each unit in the dataset is known. Such data, however, is often unavailable due to privacy considerations or measurement limitations. In the absence of geo-referenced individual-level data, two scenarios can arise depending on what kind of geographic information is available. If researchers have information about each observation’s location within aggregate but small geographic units, a modified RD framework can be applied, where the running variable is treated as discrete instead of continuous. If researchers lack this type of information and instead only have access to the location of units within coarse aggregate geographic units that are too large to be considered in an RD framework, the available coarse geographic information can be used to create a band or buffer around the border, only including in the analysis observations that fall within this band. We characterize each scenario, and also discuss several methodological challenges that are common to all research designs based on geographically discontinuous treatment assignments. We illustrate these issues with an original geographic application that studies the effect of introducing copayments for the use of the Children’s Health Insurance Program in the United States, focusing on the border between Illinois and Wisconsin.

While traumatic brain injury (TBI) became a special education category within the Individuals with Disabilities Education Act (IDEA) in 1990, societies have dealt with TBI far back in history. According to Granacher (2007), there have been writings about the examination of skulls from battlefields in which a hole was drilled into the skull using a trepanning tool apparently to provide some physical relief for the injured soldier. Interestingly, Levin, Benton, and Grossman (1982) stated that this tool continued to be part of Medieval and Renaissance surgeons' practice. At that time, the surgeons believed that trepanation was a vital procedure to improve the brain pulsations and hence the overall well-being of the person with a TBI; however, the medical effectiveness of this procedure did not materialize and it was replaced by brain surgery in the 20th century (Levin et al., 1982).

Understanding how health status and physiological factors affect performance is a daunting task. This chapter will discuss physiological, behavioral, and psychological factors that influence or determine the capacity to fight, and will consider metrics that can be used to measure their status. The premise of this discussion is that there is a set of physiological and psychological factors that intimately affect performance and that the relative contribution of these variables is individually unique. These factors can be identified and assessed, and are amenable to modification. A fuller understanding of these variables can lead the effort to maintain and improve performance in the adverse and challenging environments of military operations.

Because language deficits are often present among individuals with pervasive developmental disorders, evaluation of language abilities is an essential part of a comprehensive assessment. According to Wetherby, Prizant, and Schuler (2000), assessment of language skills for persons with autistic spectrum disorders must focus on three broad areas of concern: linguistics, social and emotional communication, and language-related cognitive functions. Linguistic evaluation includes assessment of both expressive and receptive language. Examination of social and emotional communication must assess reciprocity of social interaction, understanding and expression of emotion, and regulatory strategies to manage emotional arousal. Finally, evaluation of language-related cognitive domains must include an assessment of the use of symbolic representations and imitation (Wetherby et al.).