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
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-323-90334-9 (9780323903349)
Schweitzer Klassifikation
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