The interest in ‘biomarkers’ seen across a spectrum of biomedical disciplines reflects the rise of molecular biology and genetics. A host of ‘omics’ disciplines in addition to genomics, marked by multidimensional data and complex analyses, and enabled by bioinformatics, have pushed the trajectory of biomarker development even further. They have also made more tractable the complex mappings of genotypes to phenotypes – genome-to-phenome mapping – to which the concept of a biomarker is central. Genomic investigations of the brain are beginning to reveal spectacular associations between genes and neural systems. Neural and cognitive phenomics are considered a necessary complement to genomics of the brain. Other major omics developments such as connectomics, the comprehensive mapping of neurons and neural networks, are heralding brain maps of unprecedented detail. Such developments are defining a new era of brain science. And in this new research environment, neural systems and cognitive operations are pressed for new kinds of definitions – that facilitate brain-behavioral alignment in an omics operating environment. This volume explores the topic of markers framed around the constructs of cognitive and neural systems. ‘Neurophenotype’ is a term adopted to describe a neural or cognitive marker that can be scientifically described within an associative framework – and while the genome-to-phenome framework is the most recognized of these, epigenetics and non-gene-regulated neural dynamics also suggest other frameworks. In either case, the term neurophenotype defines operational constructs of brain-behavioral domains that serve the integration of these domains with neuroscientific and omics models of the brain. The topic is critically important to psychiatry and neuropsychology: Neurophenotypes offer a ‘format’ and a ‘language’ by which psychiatry and neuropsychology can be in step with the brain sciences. They also bring a new challenge to the clinical neurosciences in terms of construct validation and refinement. Topics covered in the volume include: Brain and cognition in the omics era Phenomics, connectomics, and Research Domain Criteria Circuit-based neurophenotypes, and complications posed by non-gene regulated factors The legacy of the endophenotype concept – its utility and limitations Various potential neurophenotypes of relevance to clinical neuroscience, including Response Inhibition, Fear Conditioning and Extinction, Error Processing, Reward Dependence and Reward Deficiency, Face Perception, and Language Phenotypes Dynamic (electrophysiological) and computational neurophenotypes The challenge of a cultural shift for psychiatry and neuropsychology The volume may be especially relevant to researchers and clinical practitioners in psychiatry and neuropsychology and to cognitive neuroscientists interested in the intersection of neuroscience with genomics, phenomics and other omics disciplines.

Social stress has emerged as a research front in the neurosciences, and this volume highlights recent insights in brain mechanisms and methodological advances. The topics range from the evolutionary origins of coping with social challenges to neural mechanism-driven focus on novel treatment targets. The parallel presentation of work with animal models and human subjects is bound to be useful to a broad research community.

More than 40 years after the official recognition of infantile autism in DSM-III, advances continue to be made in our understanding of the possible causes, assessment and evaluation, and treatment of autism spectrum disorder (ASD). With contributions by dozens of experts in the field, this second edition of the Textbook of Autism Spectrum Disorders has been updated to reflect the latest research in ASD. Unrivaled in its thoroughness, this volume discusses issues of assessment and evaluation; examines the etiology of ASD and its recognized associations with other medical conditions; analyzes standard and experimental treatments; and delves into social policy issues pertinent to individuals with ASD and those who treat them. With summary points in each chapter and copious lists of recommended readings, this is an indispensable resource for psychiatrists, psychologists, neurologists, social workers, speech therapists, educators, and all others in the continuum of care.

Though schools have become the default mental health providers for children and adolescents, they are poorly equipped to meet the mental health needs of their students. Evidence-Based Practice in School Mental Health differs from other books that address child and adolescent psychopathology by focusing on how to help students with mental disorders in pre-K-12th-grade schools. Chapters address the prevalence of a disorder in school-age populations, appropriate diagnostic criteria, differential diagnosis, comorbid disorders, available rapid assessment instruments, school-based interventions using multi-tiered systems of support, and easy-to-follow suggestions for progress monitoring. Additionally, the text shares detailed suggestions for how school-based clinicians can collaborate with teachers, parents, and community providers to address the needs of youth with mental health problems. Each chapter finishes with extensive web resources and real-life case examples drawn from the author's clinical practice. This book serves as a helpful resource for school-based mental health providers (e.g., school social workers, school psychologists, and school counselors), communities-in-schools coordinators, and MSW students focusing on child and adolescent mental health.

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

In recent years a new field of study has arisen called developmental biology. The term developmental biology is really a new name for embryology; it is, however, used to denote the molecular approach to the study of developing systems. In this book we have tried wherever possible to blend the older information of classical embryology and in particular organogeny with the newer concepts of developmental biology. The original intention was to cover all the tissues of the body in this book. However, it soon became obvious that it was not possible to do this within one volume. Therefore we decided to have two general chapters, one on the basic concepts of cellular development and an other on the ageing of cells (this being considered part of the normal growth process). In addition to these two general chapters we have included chapters on some of the major tissues. These were chosen not just to illustrate the points made in the general chapters but because there is enough information available on the development of these tissues for the expert in that field to present a good, readable account. It is hoped that at a later date when more information is available, we will be able to extend this work, probably as several volumes, and to include the other tissues of the body which are not dealt with in this volume.

To examine the promise, concerns, and challenges related to neuroscience research using genetically modified nonhuman primates, the National Academies of Sciences, Engineering, and Medicine hosted a public workshop on October 4, 2018, bringing together an international group of experts and stakeholders representing academia, industry, laboratory animal management, disease-focused foundations, and federal agencies. The workshop was designed to explore the current state and future promise of research using genetically modified nonhuman primate models of disease to understand the complex functions of the brain that control behavior, movement, and cognition in both health and disease states. This publication summarizes the presentations and discussions from the workshop.

Asthma is a common chronic respiratory disease that causes substantial morbidity and has been challenging to treat due to its heterogeneous onset, environmental triggers, severity, and treatment response. To update the field on the rapid advances in this field, Precision Approaches to Heterogeneity in Asthma follows its highly successful predecessor, Heterogeneity in Asthma. In this new volume, noted authorities Allan R Brasier and Nizar N Jarjour and a cadre of leaders in the field incorporate new work advancing our understanding of phenotypes (endotypes) of disease, regional variations in ventilation, systems approach to analyzing the findings from studies of inducible phenotypes, and emerging results of biomarker-informed clinical trials. This work will facilitate our current understanding of the spectrum of disease etiology, prognosis, and the likelihood of responding to the range of available therapeutic interventions.

Many complex traits define the human condition, including encephalization and bipedalism. The specific molecular signals and cellular processes producing these traits are the result of dramatic evolutionary change. At the same time, conservation of many of these developmental programs underlie both structure and function. Novel methodologies and techniques allow analysis of the collective behavior of cells, cell shapes, tissues, and organs. This volume demonstrates the essential role of cellular mechanisms in the evolutionary increase in the size and complexity of the primate brain. In addition, and concordant with encephalization, this book documents changes in the muscles and bones associated with the appearance of bipedalism. Genetic changes are the basis of these evolutionary changes, but transformation of genetic information into phenotypic outcomes occurs at the level of the cell, and this is the focus of the book. The goal is to encourage others to adopt evolutionary cell biology as a novel and necessary approach to the genotype-phenotype map of the diversification of primates, human variation, and human evolution. The contributors to this book utilize advances in genetic analysis, visualization of cells and tissues, and the merging of evolutionary developmental biology with evolutionary cell biology to address questions central to understanding the human and primate evolution. Key Features Explores mechanisms underlying trait distribution, dispersal, variation, and evolution through the direct testing of hypotheses especially with respect to patterns of encephalization, certain sensory modalities, and growth and life history specializations. Documents the advantages for anthropologists to work at the level of cells focusing on how genes provide instructions for cells to make structure and how environmental influences affect the behavior of cells. Illustrates the role cell biology plays with respect to encephalization, neocortical expansion, variation in facial morphology, locomotion, and dexterity. Describes novel methodologies and techniques allowing analysis of how the collective behavior of cells shapes tissues and organs. Related Titles Ripamonti, U., ed. Induction of Bone Formation in Primates: The Transforming Growth Factor-beta 3 (ISBN 978-0-3673-7740-3). Gordon, M. S., et al., eds. Animal Locomotion: Physical Principles and Adaptations (ISBN 978-0-3676-5795-6) Bianchi, L. Developmental Neurobiology (ISBN 978-0-8153-4482-7)