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Advanced Neuroimaging Methods for Studying Autism Disorder

Advanced Neuroimaging Methods for Studying Autism Disorder PDF Author: Alessandro Grecucci
Publisher: Frontiers Media SA
ISBN: 2889453162
Category :
Languages : en
Pages : 143

Book Description
In the last twenty years, many attempts have been made to provide neurobiological models of autism. Functional, structural and connectivity analyses have highlighted reduced responses in key social areas, such as amygdala, medial prefrontal cortex, cingulate cortex, and superior temporal sulcus. However, these studies present discrepant results and some of them have been questioned for methodological limitations. The aim of this research topic is to present advanced neuroimaging methods able to capture the complexity of the neural deficits displayed in autism. This special issue presents new studies using structural and functional MRI, as well as magnetoencephalography, and novel protocols to analyze data (Analysis of Cluster Variability, Noise Reduction Strategies, Source-based Morphometry, Functional Connectivity Density, Restriction Spectrum Imaging and the others). We believe it is time to integrate data provided by different techniques and methodologies in order to have a better understanding of autism.

Advanced Neuroimaging Methods for Studying Autism Disorder

Advanced Neuroimaging Methods for Studying Autism Disorder PDF Author: Alessandro Grecucci
Publisher: Frontiers Media SA
ISBN: 2889453162
Category :
Languages : en
Pages : 143

Book Description
In the last twenty years, many attempts have been made to provide neurobiological models of autism. Functional, structural and connectivity analyses have highlighted reduced responses in key social areas, such as amygdala, medial prefrontal cortex, cingulate cortex, and superior temporal sulcus. However, these studies present discrepant results and some of them have been questioned for methodological limitations. The aim of this research topic is to present advanced neuroimaging methods able to capture the complexity of the neural deficits displayed in autism. This special issue presents new studies using structural and functional MRI, as well as magnetoencephalography, and novel protocols to analyze data (Analysis of Cluster Variability, Noise Reduction Strategies, Source-based Morphometry, Functional Connectivity Density, Restriction Spectrum Imaging and the others). We believe it is time to integrate data provided by different techniques and methodologies in order to have a better understanding of autism.

Advanced Brain Neuroimaging Topics in Health and Disease

Advanced Brain Neuroimaging Topics in Health and Disease PDF Author: Dorina Papageorgiou
Publisher: BoD – Books on Demand
ISBN: 9535112031
Category : Science
Languages : en
Pages : 682

Book Description
The brain is the most complex computational device we know, consisting of highly interacting and redundant networks of areas, supporting specific brain functions. The rules by which these areas organize themselves to perform specific computations have only now started to be uncovered. Advances in non-invasive neuroimaging technologies have revolutionized our understanding of the functional anatomy of cortical circuits in health and disease states, which is the focus of this book. The first section of this book focuses on methodological issues, such as combining functional MRI technology with other brain imaging modalities. The second section examines the application of brain neuroimaging to understand cognitive, visual, auditory, motor and decision-making networks, as well as neurological diseases. The use of non-invasive neuroimaging technologies will continue to stimulate an exponential growth in understanding basic brain processes, largely as a result of sustained advances in neuroimaging methods and applications.

Advanced Neuroimaging Methods in Brain Disorders

Advanced Neuroimaging Methods in Brain Disorders PDF Author: Jurong Ding
Publisher: Frontiers Media SA
ISBN: 2889761274
Category : Science
Languages : en
Pages : 196

Book Description


Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning

Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning PDF Author: Baojuan Li
Publisher: Frontiers Media SA
ISBN: 2889760960
Category : Science
Languages : en
Pages : 288

Book Description


Molecular Neuropathology

Molecular Neuropathology PDF Author: Gareth W. Roberts
Publisher: Cambridge University Press
ISBN: 9780521425582
Category : Medical
Languages : en
Pages : 204

Book Description
This volume provides an introduction to the essential techniques required for studying the molecular biology of brain disease. The approaches and strategies for investigations of gene structure and regulation are described with reference to the molecular genetics of prion and Alzheimer's disease. The effects of aberrant gene regulation can also be examined at the protein level by immunocytochemistry and autoradiography. Improved understanding of basic biology has resulted in new approaches to animal models using transgenic techniques and new therapeutic approaches. The volume is structured to illustrate all these approaches and demonstrate the practice and promise of molecular neuropathology.

Diagnosis and Treatment of Autism

Diagnosis and Treatment of Autism PDF Author: C. Gillberg
Publisher:
ISBN: 9781489908834
Category :
Languages : en
Pages : 464

Book Description


Brain Connectivity in Autism

Brain Connectivity in Autism PDF Author: Rajesh K. Kana
Publisher: Frontiers E-books
ISBN: 2889192822
Category : Autism
Languages : en
Pages : 265

Book Description
The brain's ability to process information crucially relies on connectivity. Understanding how the brain processes complex information and how such abilities are disrupted in individuals with neuropsychological disorders will require an improved understanding of brain connectivity. Autism is an intriguingly complex neurodevelopmental disorder with multidimensional symptoms and cognitive characteristics. A biological origin for autism spectrum disorders (ASD) had been proposed even in the earliest published accounts (Kanner, 1943; Asperger, 1944). Despite decades of research, a focal neurobiological marker for autism has been elusive. Nevertheless, disruptions in interregional and functional and anatomical connectivity have been a hallmark of neural functioning in ASD. Theoretical accounts of connectivity perceive ASD as a cognitive and neurobiological disorder associated with altered functioning of integrative circuitry. Neuroimaging studies have reported disruptions in functional connectivity (synchronization of activated brain areas) during cognitive tasks and during task-free resting states. While these insights are valuable, they do not address the time-lagged causality and directionality of such correlations. Despite the general promise of the connectivity account of ASD, inconsistencies and methodological differences among studies call for more thorough investigations. A comprehensive neurological account of ASD should incorporate functional, effective, and anatomical connectivity measures and test the diagnostic utility of such measures. In addition, questions pertaining to how cognitive and behavioral intervention can target connection abnormalities in ASD should be addressed. This research topic of the Frontiers in Human Neuroscience addresses “Brain Connectivity in Autism” primarily from cognitive neuroscience and neuroimaging perspectives.

Charney & Nestler's Neurobiology of Mental Illness

Charney & Nestler's Neurobiology of Mental Illness PDF Author: Dennis S. Charney
Publisher: Oxford University Press
ISBN: 019068142X
Category : Medical
Languages : en
Pages : 1025

Book Description
In the years following publication of the DSM-5(R), the field of psychiatry has seen vigorous debate between the DSM's more traditional, diagnosis-oriented approach and the NIMH's more biological, dimension-based RDoC (research domain criteria) approach. Charney & Nestler's Neurobiology of Mental Illness is an authoritative foundation for translating information from the laboratory to clinical treatment, and its fifth edition extends beyond this reference function to acknowledge and examine the controversies, different camps, and thoughts on the future of psychiatric diagnosis. In this wider context, this book provides information from numerous levels of analysis, including molecular biology and genetics, cellular physiology, neuroanatomy, neuropharmacology, epidemiology, and behavior. Sections and chapters are edited and authored by experts at the top of their fields. No other book distills the basic science and underpinnings of mental disorders-and highlights practical clinical significance-to the scope and breadth of this classic text. In this edition, Section 1, which reviews the methods used to examine the biological basis of mental illness in animal and cell models and in humans, has been expanded to reflect critically important technical advances in complex genetics (including powerful sequencing technologies and related bioinformatics), epigenetics, stem cell biology, optogenetics, neural circuit functioning, cognitive neuroscience, and brain imaging. This range of established and emerging methodologies offer groundbreaking advances in our ability to study the brain as well as unique opportunities for the translation of preclinical and clinical research into badly needed breakthroughs in our therapeutic toolkit. Sections 2 through 7 cover the neurobiology and genetics of major psychiatric disorders: psychoses (including bipolar disorder), mood disorders, anxiety disorders, substance use disorders, dementias, and disorders of childhood onset. Also covered within these sections is a summary of current therapeutic approaches for these illnesses as well as the ways in which research advances are now guiding the search for new treatments. Each of these parts has been augmented in several different areas as a reflection of research progress. The last section, Section 8, reconfigured in this new edition, now focuses on diagnostic schemes for mental illness. This includes an overview of the unique challenges that remain in diagnosing these disorders given our still limited knowledge of disease etiology and pathophysiology. The section then provides reviews of DSM-5(R), which forms the basis of psychiatric diagnosis in the United States for all clinical work, and of RDoC, which provides an alternative perspective on diagnosis in heavy use in the research community. Also included are chapters on future efforts toward precision and computational psychiatry, which promise to someday align diagnosis with underlying biological abnormalities.

Deep Learning Methods and Applications in Brain Imaging for the Diagnosis of Neurological and Psychiatric Disorders

Deep Learning Methods and Applications in Brain Imaging for the Diagnosis of Neurological and Psychiatric Disorders PDF Author: Hao Zhang
Publisher: Frontiers Media SA
ISBN: 2832555500
Category : Science
Languages : en
Pages : 151

Book Description
Brain imaging has been successfully used to generate image-based biomarkers for various neurological and psychiatric disorders, such as Alzheimer’s and related dementias, Parkinson’s disease, stroke, traumatic brain injury, brain tumors, depression, schizophrenia, etc. However, accurate brain image-based diagnosis at the individual level remains elusive, and this applies to the diagnosis of neuropathological diseases as well as clinical syndromes. In recent years, deep learning techniques, due to their ability to learn complex patterns from large amounts of data, have had remarkable success in various fields, such as computer vision and natural language processing. Applying deep learning methods to brain imaging-assisted diagnosis, while promising, is facing challenges such as insufficiently labeled data, difficulty in interpreting diagnosis results, variations in data acquisition in multi-site projects, integration of multimodal data, clinical heterogeneity, etc. The goal of this research topic is to gather cutting-edge research that showcases the application of deep learning methods in brain imaging for the diagnosis of neurological and psychiatric disorders. We encourage submissions that demonstrate novel approaches to overcome various abovementioned difficulties and achieve more accurate, reliable, generalizable, and interpretable diagnosis of neurological and psychiatric disorders in this field.

Diagnosing Learning Disorders

Diagnosing Learning Disorders PDF Author: Bruce F. Pennington
Publisher: Guilford Publications
ISBN: 1462545947
Category : Education
Languages : en
Pages : 416

Book Description
Description A definitive reference--now extensively revised with 70% new material--this book presents cutting-edge knowledge on how learning disorders develop and how to diagnose and treat them effectively. In additional to dyslexia and mathematics disabilities, the book covers speech and language disorders, attention-deficit/hyperactivity disorder, autism spectrum disorder, and intellectual disability. Accessibly written, it is grounded in genetics, neuroscience, and developmental neuropsychology. Clinicians and educators are guided to make sense of children's impairments and strengths and make sound diagnostic decisions. Best practices in intervention are reviewed. User-friendly features include case examples and summary tables in each disorder-specific chapter. Key words learning disabilities, differential diagnosis, identification, classification, reading, mathematics, difficulties, impairments, dyslexia, dyscalculia, special education, classrooms, interventions, treatments, assessments, diagnostic instruments, testing, autism spectrum disorders, Asperger syndrome, intellectual disability, mental retardation, speech sound disorder, language, ADHD, attention-deficit/hyperactivity disorder, instruction, achievement, specific learning disorder, specific learning disability, developmental neuropsychology, brain, neuroscience, students, children, adolescents, struggling learners, special-needs, DSM5, DSMV, etiology, causes, disabled children