Brain Oscillations, Synchrony and Plasticity: Basic Principles and Application to Auditory-Related Disorders discusses the role of brain oscillations, especially with respect to the auditory system and how those oscillations are measured, change over the lifespan, and falter leading to a variety of psychiatric and neurological disorders. The book begins with a description of these cortical rhythm oscillations and how they function in both the normal and pathological brain. It explains how these oscillations are important to auditory, executive and attention brain networks and how they relate to the development, production and deterioration of speech and language. In addition, treatment of malfunctioning cortical rhythms are reviewed using neuromodulation, such as transcranial magnetic, direct current, random noise, and alternating current stimulation, as well as focused ultrasound. The book concludes by describing the potential role of oscillations in dyslexia, autism, schizophrenia and Alzheimer’s disease. Introduces readers to brain imaging methods such as structural and functional magnetic resonance imaging, EEG and magnetoencephalography, in the study of brain oscillations, synchrony and networks of the normal and pathological brain Highlights the role of brain oscillations in perception and cognition, in particular with respect to the auditory system, speech and language Describes lifespan changes, from preterm to senescence, of brain oscillations, brain networks and how they relate to the development and deterioration of speech and language Explains the effects of hearing loss on neural network change in the auditory and non-auditory networks such as the default mode-, the salience-, the executive- and attention networks Illustrates the breakdown of network connections in auditory-related disorders such as tinnitus and in psychiatric disorders with a strong auditory, speech and language component

"Brain activity is strongly oscillatory: the collective firing of populations of neurons waxes and wanes in a rhythmic manner. The spatiotemporal and frequency-band characteristics of these oscillations may reflect how the brain organizes its activity, in a local as well as large scale manner. But how do brain oscillations relate to behavior and cognition? Can we understand psychological processes better by studying brain oscillations? This question was investigated in this thesis by means of several overarching topics. For example, I studied how humans combine auditory and visual sensory information when judging the passage of time. During these judgments, I observed strong inter-regional alpha-band (8-12 Hz) synchronization between visual and auditory processing regions. This is evidence that cross-modal integration may be happening at the level of the primary sensory regions, and not necessarily by some higher ("amodal") binding region. In addition, I investigated in multiple studies how theta-band (4-8 Hz) oscillations relate to various instances of cognitive control. For example, fast, impulsive performance errors were characterized by strong midfrontal theta dynamics, while slower errors due to attention lapses rather showed parieto-occipital alpha suppression. In addition, causally boosting theta oscillations in the brain through electrical stimulation, improved cognitively controlled behavior. Collectively, the studies that I present in this thesis elucidate the functional significance of different frequency bands in the instantiation of various neurocognitive mechanisms in the brain."--Samenvatting auteur.

Systems-level neuronal mechanisms that coordinate the temporally, anatomically, and functionally distributed neuronal activity into coherent cognitive operations in the human brain have remained poorly understood. In humans, neuronal oscillations and synchronization can be recorded non-invasively with electro- and magnetoencephalography (EEG and MEG) that have excellent temporal resolution and an adequate spatial resolution when combined with source-reconstruction methods. In this book, leading authors in the field describe how recent methodological advances have paved the way to several major breakthroughs in the observations of large-scale synchrony from human non-invasive MEG data. This volume also presents the caveats influencing analyses of synchronization. These include the non-homogeneous sensitivity of MEG to superficial cortical sources, and, most importantly, the multitude of consequences of linear mixing. Linear mixing is an immense confounder in the sensor-level analyses of synchronization, but is also present at the source level. Approaches that can be used to avoid or compensate for these issues are then discussed. Thereafter, several authors take up a number of the functional roles that large-scale synchronization has in cognition. The authors assess how the spatio–temporal and –spectral organization and strength of both local and large-scale synchronized networks are associated with conscious sensory perception, visual working memory functions, and attention. These chapters summarize several lines of research showing how the strength of local and inter-areal oscillations in both cortical and subcortical brain structures is correlated with cognitive functions. Together these data suggest that synchronized neuronal oscillations may be a systems-level neuronal mechanism underlying the coordination of distributed processing in human cognition. In line with this argument, other authors go on to describe how oscillations and synchronization are altered in clinical populations, complementing the data presented on healthy subjects. Importantly, this book includes chapters from authors using many different approaches to the analyses of neuronal oscillations, ranging from local oscillatory activities to the usage of graph theoretical tools in the analyses of synchronization. In this way the present volume provides a comprehensive view on the analyses and functional significance of neuronal oscillations in humans. This book is aimed at doctoral and post-doctoral students as well as research scientists in the fields of cognitive neuroscience, psychology, medicine, and neurosciences.

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Tinnitus and Hyperacusis: Facts, Theories, and Clinical Implications provides an overview on this burgeoning field, covering the underlying mechanisms and potential treatments for these disorders. The book begins with an overview of the etiology and genetics behind tinnitus and hyperacusis. The author then proposes two parallel neural pathways underlying these conditions and provides a basis for connecting animal to human research. Neurotransmitters, neuromodulators and immediate early genes are discussed, along with a detailed comparison of about a dozen models aimed at explaining tinnitus and hyperacusis, including the neurophysiological model, the neural synchrony model and the cortical map reorganization and filling-in model. Potential treatments of tinnitus and hyperacusis, from behavioral to non-invasive neuromodulation are also discussed. This book is written for clinical neuroscientists, audiologists, neuro-otologists, neurologists and clinical psychologists. - Describes the etiology and genetics of tinnitus and hyperacusis - Compares animal data and human findings in activity of the limbic system - Discusses ten models of tinnitus and hyperacusis - Presents an overview of treatments for behavioral to non-invasive neuromodulation

Brain Responses to Auditory Mismatch and Novelty Detection: Predictive Coding from Cocktail Parties to Auditory-Related Disorders provides the connections between changes in the 'error-generating network' and disorder-specific changes while also exploring its diagnostic properties. The book allows the reader to appreciate the outcomes of predictive coding theory in fields of auditory streaming (including the cocktail-party effect) and psychiatric disorders with an auditory component. These include mild cognitive impairment (MCI), Alzheimer's disease, attention-deficit and hyperactivity disorder (ADHD), autism spectrum disorder (ASD), schizophrenia and the cognitive aspects of Parkinson's disease. The book combines animal experiments on adaptation, human auditory evoked potentials, including MMN and their maturational, as well as aging aspects into one comprehensive resource. - Compares and contrasts animal vs human data - Provides detailed maturational and aging aspects - Details the differences between auditory, visual and somatosensory MMN networks - Reviews predictive coding in various psychiatric disorders

The term “synaptic plasticity” is a broad concept, which is studied with a variety of experimental approaches. One focus is the impact of changes in synaptic, neuronal and glial morphology on brain circuitry and behavior. In this regard, unique animal models have been key to the study of affective and social behaviors and neurological and psychiatric diseases. However, there is a paucity of compilations directed toward the correlation of alterations in synaptic structure with various physiological and behavioral paradigms. This Frontiers Research Topic will, therefore, serve as an exciting forum for the exchange of novel hypotheses and data and an important resource and reference for investigators studying synaptic and brain plasticity, as well as those in related fields.

This two-volume set LNCS 13188 - 13189 constitutes the refereed proceedings of the 6th Asian Conference on Pattern Recognition, ACPR 2021, held in Jeju Island, South Korea, in November 2021. The 85 full papers presented were carefully reviewed and selected from 154 submissions. The papers are organized in topics on: classification, action and video and motion, object detection and anomaly, segmentation, grouping and shape, face and body and biometrics, adversarial learning and networks, computational photography, learning theory and optimization, applications, medical and robotics, computer vision and robot vision.

The focus of this thesis is the interplay of synchrony and adaptivity in complex networks. Synchronization is a ubiquitous phenomenon observed in different contexts in physics, chemistry, biology, neuroscience, medicine, socioeconomic systems, and engineering. Most prominently, synchronization takes place in the brain, where it is associated with cognitive capacities like learning and memory, but is also a characteristic of neurological diseases like Parkinson and epilepsy. Adaptivity is common in many networks in nature and technology, where the connectivity changes in time, i.e., the strength of the coupling is continuously adjusted depending upon the dynamic state of the system, for instance synaptic neuronal plasticity in the brain. This research contributes to a fundamental understanding of various synchronization patterns, including hierarchical multifrequency clusters, chimeras and other partial synchronization states. After a concise survey of the fundamentals of adaptive and complex dynamical networks and synaptic plasticity, in the first part of the thesis the existence and stability of cluster synchronization in globally coupled adaptive networks is discussed for simple paradigmatic phase oscillators as well as for a more realistic neuronal oscillator model with spike-timing dependent plasticity. In the second part of the thesis the interplay of adaptivity and connectivity is investigated for more complex network structures like nonlocally coupled rings, random networks, and multilayer systems. Besides presenting a plethora of novel, sometimes intriguing patterns of synchrony, the thesis makes a number of pioneering methodological advances, where rigorous mathematical proofs are given in the Appendices. These results are of interest not only from a fundamental point of view, but also with respect to challenging applications in neuroscience and technological systems.

In the past decade neuronal plasticity has become a major theme of modern neurobiology, from cellular and molecular mechanisms of synapse formation in worms and insects to behavioural recovery from strokes in elderly humans. For this reason the focus of interest in the present volume of Progress in Brain Research is on the topic of neuroplasticity in mature organisms, including humans. Contributions range from neurogenesis and synaptic plasticity in the adult primate brain, to neural mechanisms of learning and memory, and the influence of environmental factors and aging on the functional potential of the central nervous system. Several contributions focus on recent developments in neural regeneration and brain repair, providing challenging evidence that the use of stem cell neurotherapy may be beneficial to humans suffering from various neurological and psychiatric diseases. This volume integrates new information on the cellular and molecular mechanisms of neuroplasticity and highlights challenging future questions in this exciting and topical area of neuroscience.