Methodological Approaches for Sleep and Vigilance Research
Editat de Eric Murillo-Rodríguezen Limba Engleză Paperback – 14 oct 2021
- 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
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Specificații
ISBN-13: 9780323852357
ISBN-10: 0323852351
Pagini: 306
Dimensiuni: 152 x 229 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323852351
Pagini: 306
Dimensiuni: 152 x 229 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Public țintă
Primary: Graduate students in biological and biomedical sciences, neurologists, sleep scientists, neuroscientists, neurobiologists, post-doctoral fellows, researchers, residents, fellowsSecondary: A wide range of academic and professional disciplines (scientist, students, and professionals) in: Cell biology, Experimental biology, Human genetics, Molecular biology, Neuroscience, Pharmacology
Cuprins
1. Definitions and Measurements of the States of Vigilance
2. Polysomnographic Procedures as an Approach for Studying the Sleep-Wake Cycle
3. Electrophysiology studies in the Sleep-Wake Cycle
4. Tracking Single- and Multi-Unit Activity through the Sleep-Wake Cycle
5. Brain deep stimulation for understanding the sleep-wake phenomena
6. EEG functional connectivity and EEG power spectra in sleep
7. Multi-site recordings: From single cell to circuit level dissection of Sleep-wake in mice
8. Optogenetics and Sleep Research
9. Behavioral States Monitored by Telemetry
10. Wearable and Non-Wearable Sleep-Tracking Devices
11. Clinical Trial: Imaging Techniques in Sleep Studies
12. Objective Questionnaires for Assessment Sleep Quality
13. Genome-Wide Association Studies of Sleep Phenotypes
14. Artificial Intelligence as a Clinical Psychoinformatic Approach for the Analysis of the Behavioral States
15. Big Data Providing Insights for Sleep Medicine
2. Polysomnographic Procedures as an Approach for Studying the Sleep-Wake Cycle
3. Electrophysiology studies in the Sleep-Wake Cycle
4. Tracking Single- and Multi-Unit Activity through the Sleep-Wake Cycle
5. Brain deep stimulation for understanding the sleep-wake phenomena
6. EEG functional connectivity and EEG power spectra in sleep
7. Multi-site recordings: From single cell to circuit level dissection of Sleep-wake in mice
8. Optogenetics and Sleep Research
9. Behavioral States Monitored by Telemetry
10. Wearable and Non-Wearable Sleep-Tracking Devices
11. Clinical Trial: Imaging Techniques in Sleep Studies
12. Objective Questionnaires for Assessment Sleep Quality
13. Genome-Wide Association Studies of Sleep Phenotypes
14. Artificial Intelligence as a Clinical Psychoinformatic Approach for the Analysis of the Behavioral States
15. Big Data Providing Insights for Sleep Medicine