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For thousands of years, music has acted as a powerful medium for evoking emotions, facilitating communication, and nurturing overall well-being. With the advent of new sophisticated neuroimaging technology, human responses to music and music therapy are being viewed through a new lens. As a consequence, new knowledge is being obtained about how music can produce significant improvements in cognitive, social, overt and agitated behaviours. The aim of this book is to provide an overview of neurocognitive music therapy, its impact and implications in the practice of evidence-based music interventions. The book seeks to provide researchers, psychologists, music therapists, musicians and physicians interested in the therapeutic applications of music, with a source of information about current techniques and novel music interventions. It is structured into several chapters, each of them presenting peer-reviewed research and evidence-based procedures carried out in a specific clinical context. Topics covered in the book include:
Presents cutting-edge research in neurocognitive music therapy Showcases evidence-based techniques with actionable protocols for immediate application Explores traditional music therapy techniques and contemporary technological tools
Auteur
Dr. Rafael Ramirez-Melendez holds the position of Tenured Associate Professor and leads the Music and Machine Learning Lab at Universitat Pompeu Fabra's Department of Information and Communication Technologies in Barcelona. He earned his BSc in Mathematics from the National Autonomous University of Mexico and went on to obtain both his MSc in Artificial Intelligence and PhD in Computer Science from the University of Bristol, UK. In addition, Dr. Ramirez-Melendez has a strong musical background, having trained in Classical Violin and Guitar, and has performed across Europe, America, and Asia. His research interests encompass a broad spectrum, from music technology, music therapy, artificial intelligence, and neuroscience, to their implications in music learning, health, and overall well-being. Specifically, he has explored the therapeutic potential of music in treating a range of conditions, from emotional disorders to palliative care, and he has delved into the modelling of music listening, playing, and learning using machine learning techniques. Over the course of his career, he has contributed to over 120 peer-reviewed international journals and conference publications and has delivered invited lectures worldwide.
Contenu
Chapter 1. Introduction.- Chapter 2. Accessible Digital Music Instruments for Motor Disability.- Chapter 3. Music as a Tool for Improving Emotion Identification in Autistic Children.- Chapter 4. Music and Stroke Rehabilitation.- Chapter 5. Musical Neurofeedback for emotional disorders.- Chapter 6. Emotions and Music in Palliative Care.- Chapter 7. Personalising Music Interventions.