Methodological Approaches for Sleep and Vigilance Research

Methodological Approaches for Sleep and Vigilance Research examines experimental procedures used to study the sleep-wake cycle, with topics covered by world leaders in the field. The book focuses on techniques commonly used in the sleep field, including polysomnography, electrophysiology, single- and multi-unit spiking activity recording, brain stimulation, EEG power spectra, optogenetics, telemetry, and wearable and non-wearable tracking devices. Further chapters on imaging techniques, questionnaires for sleep assessment, genome-wide association studies, artificial intelligence and big data are also featured. This discussion of significant conceptual advances into experimental procedures is suitable for anyone interested in the neurobiology of sleep. Discusses current sleep research methodologies for experienced scientists Focuses on techniques that allow measurement or assessment for the sleep-wake cycle Outlines mainstream research techniques and experimental characteristics of their uses Includes polysomnography, deep brain stimulation, and more Reviews sleep-tracking devices, EEG and telemetry Covers artificial intelligence and big data in analysis INDICE: 1. Definitions and Measurements of the States of Vigilance2. Polysomnographic Procedures as an Approach for Studying the Sleep-Wake Cycle3. Electrophysiology studies in the Sleep-Wake Cycle4. Tracking Single- and Multi-Unit Activity through the Sleep-Wake Cycle5. Brain deep stimulation for understanding the sleep-wake phenomena6. EEG functional connectivity and EEG power spectra in sleep7. Multi-site recordings: From single cell to circuit level dissection of Sleep-wake in mice8. Optogenetics and Sleep Research9. Behavioral States Monitored by Telemetry10. Wearable and Non-Wearable Sleep-Tracking Devices11. Clinical Trial: Imaging Techniques in Sleep Studies12. Objective Questionnaires for Assessment Sleep Quality13. Genome-Wide Association Studies of Sleep Phenotypes14. Artificial Intelligence as a Clinical Psychoinformatic Approach for the Analysis of the Behavioral States15. Big Data Providing Insights for Sleep Medicine

• ISBN: 978-0-323-85235-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 306
• Fecha Publicación: 14/10/2021
• Nº Volúmenes: 1
• Idioma: Inglés