Brain Connectivity In Autism

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.

This book covers state-of-the-art medical image analysis approaches currently pursued in autism research. Chapters cover recent advances in diagnosis using structural neuroimaging. All aspects of imaging are included, such as electrophysiology (EEG, ERP, QEEG, and MEG), postmortem techniques, and advantages and difficulties of depositing/acquiring images in larger databases. The book incorporates 2D, 3D, and 4D imaging and advances scientific research within the broad field of autism imaging.

Data compiled by the Center for Disease Control and Prevention indicates an alarming and continuing increase in the prevalence of autism. Despite intensive research during the last few decades, autism remains a behavioral defined syndrome wherein diagnostic criteria lack in construct validity. And, contrary to other conditions like diabetes and hypertension, there are no biomarkers for autism. However, new imaging methods are changing the way we think about autism, bringing us closer to a falsifiable definition for the condition, identifying affected individuals earlier in life, and recognizing different subtypes of autism. The imaging modalities discussed in this book emphasize the power of new technology to uncover important clues about the condition with the hope of developing effective interventions. Imaging the Brain in Autism was created to examine autism from a unique perspective that would emphasize results from different imaging technologies. These techniques show brain abnormalities in a significant percentage of patients, abnormalities that translate into aberrant functioning and significant clinical symptomatology. It is our hope that this newfound understanding will make the field work collaborative and provide a path that minimizes technical impediments.

The Neuroscience of Autism provides a comprehensive accounting of autism spectrum disorders by integrating scientific findings from behavioral, cognitive and neurobiological research. The book begins by defining autism, identifying characteristics and prevalence, exploring its history, and then moving on to the cognitive and social bases of behavioral symptoms, the brain bases of behavioral and cognitive symptoms, and finally, intervention practices. It examines theoretical models such as weak central coherence, enhanced perceptual functioning, and the extreme male brain hypothesis. Finally, the book addresses the increased attention on the brain connectivity model of autism, looking at the synchronization of brain activity across different brain areas, the causal influence of a brain region on another, and white matter cable connections in the brain. Delves into the increasing prevalence of autism in the United States Focuses on screening tools for early identification Discusses the neuroanatomical differences seen in individuals with autism Examines the inferences gained from functional MRI studies of autism

This volume makes clear that the cognitive and behavioural symptoms of neurologic disorders and syndromes are dynamic and changing. Each chapter describes the neuroplastic processes at work in a particular condition, giving rise to these ongoing cognitive changes.

Autism is a complex multifaceted disorder affecting neurodevelopment during the early years of life and, for many, throughout the life span. Inherent features include difficulties or deficits in communication, social interaction, cognition, and interpersonal behavioral coordination, to name just a few. Autism profoundly impacts the affected individual, the family, and, in many cases, the localized communities. The increased prevalence of childhood autism has resulted in rapid developments in a wide range of disciplines in recent years. Nevertheless, despite intensive research, the cause(s) remain unresolved and no single treatment strategy is employed. To address these issues, Comprehensive Guide to Autism is an all-embracing reference that offers analyses and discussions of contemporary issues in the field of autism. The work brings together scientific material from leading experts in the field relating to a wide range of important current topics, such as the early identification and treatment of children with autism, pertinent social and behavioral studies, recent developments in genetics and immunology, the influence of diet, models of autism, and future treatment prospects. Comprehensive Guide to Autism contains essential readings for behavioral science researchers, psychologists, physicians, social workers, parents, and caregivers.

This two-volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.The 88 regular papers presented were carefully reviewed and selected from 273 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases; bioinformatics tools to integrate omics dataset and address biological question; challenges and advances in measurement and self-parametrization of complex biological systems; computational genomics; computational proteomics; computational systems for modelling biological processes; drug delivery system design aided by mathematical modelling and experiments; generation, management and biological insights from big data; high-throughput bioinformatic tools for medical genomics; next generation sequencing and sequence analysis; interpretable models in biomedicine and bioinformatics; little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems; biomedical engineering; biomedical image analysis; biomedical signal analysis; challenges in smart and wearable sensor design for mobile health; and healthcare and diseases.