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Music, Brain, and Rehabilitation: Emerging Therapeutic Applications and Potential Neural Mechanisms
Music is an important source of enjoyment, learning, and well-being in life as well as a rich, powerful, and versatile stimulus for the brain. With the advance of modern neuroimaging techniques during the past decades, we are now beginning to understand better what goes on in the healthy brain when we hear, play, think, and feel music and how the structure and function of the brain can change as a result of musical training and expertise. For more than a century, music has also been studied in the field of neurology where the focus has mostly been on musical deficits and symptoms caused by neurological illness (e.g., amusia, musicogenic epilepsy) or on occupational diseases of professional m...
Neuro-Education and Neuro-Rehabilitation
In the last decade, important discoveries have been made in cognitive neuroscience regarding brain plasticity and learning such as the mirror neurons system and the anatomo-functional organization of perceptual, cognitive and motor abilities.... Time has come to consider the societal impact of these findings. The aim of this Research Topic of Frontiers in Psychology is to concentrate on two domains: neuro-education and neuro-rehabilitation. At the interface between neuroscience, psychology and education, neuro-education is a new inter-disciplinary emerging field that aims at developing new education programs based on results from cognitive neuroscience and psychology. For instance, brain-bas...
Neuroimaging Biomarkers and Cognition in Alzheimer’s disease Spectrum
Subjective cognitive decline (SCD) with self-reported concerns and mild cognitive impairment (MCI) are well-established to be at increased risk of developing Alzheimer’s disease (AD) dementia and a clinical continuum of dementia progression as a spectrum of AD. AD may develop from SCD to MCI (early MCI and late MCI) and eventually to AD. Nevertheless, until recently little was known about their pathophysiology associated with cognitive-behavioral syndrome. Although for researchers, scientists and clinicians, the pathophysiology of AD spectrum is an intriguing issue, delineating it in a clear way is far from easy. Taken together, in-depth understanding of neuroimaging-based pathology behind...
Selected Papers from CUBANNI 2017—“The Fourth International Workshop of Neuroimmunology”
This book is a printed edition of the Special Issue "Selected Papers from CUBANNI 2017—“The Fourth International Workshop of Neuroimmunology” " that was published in Behavioral Sciences
Computational Techniques in Neuroscience
The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis. Features: Focuses on neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making Showcases important aspects such as human behavior prediction using smart technologies and understanding the modeling of nervous systems Discusses nature-inspired algorithms suc...
Handbook of Time Series Analysis
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises both methodological aspects and applications to real world complex systems, such as the human brain or Earth's climate. Covering an exceptionally broad spectrum of topics, beginners, experts and practitioners who seek to understand the latest developments will profit from this handbook.
Measures of early-life brain health at population level
Brain health is increasingly attracting attention thanks to scientific and technological advances. Investing in brain health across the life course through education, access to health care, and healthy environments is essential for meeting modern societal challenges and driving innovation. However, there is no simple, direct or global metric to measure brain health across the life. Existing efforts to quantify for instance early-life brain health rely on proxy measures such as stunting and extreme poverty, account only for individual aspects of brain functioning and fail to include direct measures of brain structure. With the intent to overcome these shortfalls, WHO convened an interdisciplinary expert group in May 2023 to discuss the development of a brain health measurement framework with a focus on early life. Meeting attendees concluded that an ideal brain health metric would combine psychometrics, neuroimaging and neuro-modelling, incorporate important brain health determinants and be able to predict relevant outcomes later in life.
