Windows to the Brain is the only book to synthesize neuroanatomical and imaging research as it pertains to selected neuropsychiatric diseases, containing all of the "Windows to the Brain" papers published from 1999-2006 in the Journal of Neuropsychiatry and Clinical Neurosciences. These reader-friendly summaries by more than sixty contributors present modern imaging techniques that assist in the diagnosis of neuropsychiatric illness, enhanced by easily understood color graphics of the neuroanatomical circuits of behavior, memory, and emotion. They provide a basic understanding of how to apply a variety of imaging techniques to the study of adult neuropsychiatric disease and how to use neuroimaging to assist in diagnostic work-ups for conditions ranging from sleep disorders to epilepsy to borderline personality. Integrated, color-coded graphics present functional anatomical information in a manner that promotes understanding and use in clinical practice, while the text encompasses a wide range of diseases and injuries across the adult lifespan. The book is organized into four sections that will help readers increase their appreciation of the wide range of research and clinical applications for imaging in neuropsychiatry: chapters on imaging techniques discuss underlying principles, strengths and weaknesses, and applications; chapters on specific diseases demonstrate a range of investigative techniques; anatomy/circuit chapters focus on particular brain structures or functional neuropsychiatric circuits; and final chapters present image-based approaches to understanding or selecting treatment options. Some of the applications described are: Use of fMRI in posttraumatic stress disorder to reveal the delicate balance between the structures of the emotion and memory tracks; Use of high-resolution MRI and nuclear imaging to distinguish between panic disorder and simple partial seizure disorder; Use of functional imaging studies to detect corticobasal degeneration, as a means of better understanding dementia; Use of newer imaging techniques in identifying progressive multifocal leukoencephalopathy, to enable more rapid and reliable tailoring of individual therapy for HIV; Use of functional neuroimaging in the study of fear, in order to better understand and treat anxiety-based psychiatric disorders; Use of neuroimaging studies in conversion disorder, showing implications for the disruption of selfhood in dissociative identity disorder and schizophrenia; Use of FDG-PET scans to look for predictors of treatment response in childhood-onset obsessive-compulsive disorder. Windows to the Brain can help bring less-experienced readers up to speed on advanced imaging and anatomical details that pertain to the modern practice of neuropsychiatry. It is must-reading for specialists in neuropsychiatry and cognitive/behavioral neurology, or for general psychiatrists with an interest in neuroimaging.

This book constitutes the refereed proceedings of the 9th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2018, held in Xi’an, China, in July 2018. The 83 papers presented in this volume were carefully reviewed and selected from 137 submissions. The papers were organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; data analysis and natural language processing; and applications.

This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK, in August/September 2015. The 42 full papers presented were carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing.

Homeostatic Control of Brain Function offers a broad view of brain health and diverse perspectives for potential treatments, targeting key areas such as mitochondria, the immune system, epigenetic changes, and regulatory molecules such as ions, neuropeptides, and neuromodulators. Loss of homeostasis becomes expressed as a diverse array of neurological disorders. Each disorder has multiple comorbidities - with some crossing over several conditions - and often disease-specific treatments remain elusive. When current pharmacological therapies result in ineffective and inadequate outcomes, therapies to restore and maintain homeostatic functions can help improve brain health, no matter the diagnosis. Employing homeostatic therapies may lead to future cures or treatments that address multiple comorbidities. In an age where brain diseases such as Alzheimer's or Parkinson's are ever present, the incorporation of homeostatic techniques could successfully promote better overall brain health. Key Features include · A focus on the homeostatic controls that significantly depend on the way one lives, eats, and drinks. · Highlights from emerging research in non-pharmaceutical therapies including botanical medications, meditation, diet, and exercise. · Incorporation of homeostatic therapies into existing basic and clinical research paradigms. · Extensive scientific basic and clinical research ranging from molecules to disorders. · Emerging practical information for improving homeostasis. · Examples of homeostatic therapies in preventing and delaying dysfunction. Both editors, Detlev Boison and Susan Masino, bring their unique expertise in homeostatic research to the overall scope of this work. This book is accessible to all with an interest in brain health; scientist, clinician, student, and lay reader alike.

The biomedical sciences have recently undergone revolutionary change, due to the ability to digitize and store large data sets. In neuroscience, the data sources include measurements of neural activity measured using electrode arrays, EEG and MEG, brain imaging data from PET, fMRI, and optical imaging methods. Analysis, visualization, and management of these time series data sets is a growing field of research that has become increasingly important both for experimentalists and theorists interested in brain function. Written by investigators who have played an important role in developing the subject and in its pedagogical exposition, the current volume addresses the need for a textbook in this interdisciplinary area. The book is written for a broad spectrum of readers ranging from physical scientists, mathematicians, and statisticians wishing to educate themselves about neuroscience, to biologists who would like to learn time series analysis methods in particular and refresh their mathematical and statistical knowledge in general, through self-pedagogy. It may also be used as a supplement for a quantitative course in neurobiology or as a textbook for instruction on neural signal processing. The first part of the book contains a set of essays meant to provide conceptual background which are not technical and shall be generally accessible. Salient features include the adoption of an active perspective of the nervous system, an emphasis on function, and a brief survey of different theoretical accounts in neuroscience. The second part is the longest in the book, and contains a refresher course in mathematics and statistics leading up to time series analysis techniques. The third part contains applications of data analysis techniques to the range of data sources indicated above (also available as part of the Chronux data analysis platform from http://chronux.org), and the fourth part contains special topics.

This issue of Neuroimaging Clinics of North America focuses on Imaging of Brain Concussion, and is edited by Drs. Roy Riascos and Eliana E. Bonfante-Mejia. Articles will include: Traumatic Brain Injury: definition, neurosurgery, trauma-orthopedics, neuroimaging, and psychology-psychiatry; Multimodality advanced imaging for brain concussions; Perfusion weighted images in brain concussion; PET and SPECT in brain concussion; Imaging of chronic concussion; Imaging of concussion in young athletes; Imaging on concussion in blast injury; Conventional CT and MR in brain concussion; Structural imaging: structural MRI in concussion; Susceptibility weighted imaging and MR spectroscopy in concussion; Functional imaging fMRI – BOLD and resting state techniques in mTBI; Diffusion Weighted and Diffusion Tensor Imaging in mTBI; and more!

Taking up the age-old question of what our ability to tell stories reveals about language and the mind, this truly interdisciplinary project should be of interest to humanists and cognitive scientists alike.