Special Sessions
SLEEP EUROPE 2024 SPECIAL SESSIONS
Master Classes
Revamped Master Classes (formerly Teaching Courses) covering a wider range of topics and aimed at various career levels.
1. Cognitive Behavioural Therapy for Insomnia Disorder – The new guidelines on evaluation and treatment of insomnia disorder and the treatment of choice.
Target Audience: Qualified health professionals who are involved in the diagnosis and the treatment of insomnia (e.g. clinical psychologists, psychotherapists, psychiatrists, neurologists, general practitioners, paediatricians, gynaecologists, geriatrics).
Learning Objectives: The course aims at offering to health professionals comprehensive information on evidence based diagnosis and treatment of insomnia. It includes a focus on the first line intervention for the disorder, comparing different therapeutical approaches and their mechanisms. Furthermore, the course considers the role of different steps and professionals in the care of insomnia with an attention on the lifespan and on specific clinical populations.
2. A course on sleep research in animal models: experimental design, methodology, sleep scoring and data analysis
Target Audience: MSc and DPhil students, postdocs and career development fellows working in the areas of neuroscience and physiology of sleep and circadian rhythms as well as clinicians and researchers interested to learn about modern techniques and approaches used to monitor sleep and circadian rhythms in laboratory rodents.
Learning Objectives:
1. How to design sleep and circadian experiments in laboratory rodents
2. Critically evaluate the importance of light and effects of environmental conditions on sleep
3. Understand basics of conventional and typical approaches for sleep recording and analysis
4. Compare different approaches for sleep scoring including automatic and manual techniques for sleep staging in rodents
5. Understand the differences in sleep recording techniques between adult and juvenile rodents
6. Learn the basics of modern experimental techniques of circuit neuroscience
3. Wearable sensors and artificial intelligence for sleep medicine and sleep research: a primer for clinicians and biomedical scientists
Target Audience: Clinicians, psychologists, scientists, and technicians with an interest in contemporary applications of wearable sensors and artificial intelligence to sleep medicine, sleep research and public health. The course specifically targets an audience with a bio-medicine or psychology background and does not require expertise in engineering, physics, or mathematics. Previous clinical and/or research experience with wearable sensors is an advantage but not required
Learning Objectives:
1. Grasp the physics and physiology behind the different information content of different wearable sensors for sleep medicine and sleep research.
2. Learn the essential concepts and vocabulary of artificial intelligence for the analysis of sensor data in the sleep field.
3. Understand the current options for data representations for multimodal wearable sleep recordings.
4. Get the basics on the current state of the science and recommendations for using wearable technology in sleep and circadian research.
4. Telemedicine: the game-changer in sleep-disordered breathing
Target Audience: All professionals who practice sleep medicine, with interest in the use telemedicine in all aspects of sleep-disordered breathing.
Learning Objectives:
1. To obtain an overview of using digital technologies in the diagnosis and management of sleep-disordered breathing.
2. To highlight the clinical implementation of telemedicine in the follow-up of patients with sleep apnoea.
3. To discuss the role of telemedicine in the implementation of personalized medicine.
6. What makes a great Paper?
Target Audience: Early and mid-career researchers particularly and those just starting to submit the results of their research but open to all.
Learning Objectives: This workshop summarises how research papers should be structured for maximum impact and communication of results, how reviewing a paper is best undertaken for improving scientific quality. We will stress the importance of understanding and following ICJME (International Committee of Medical Journal Editors) guidelines, as well as discussing common ethical issues that occur in the world of scientific publishing. Audience participation is essential.
7. Lessons and challenges in performing Big Data neuroimaging analyses in sleep research
Target Audience: Early-, mid- and late-career scientists with an interest in setting up consortia and using big data for sleep research.
Learning Objectives: After following this teaching course, attendees will have an understanding of challenges associated with performing big data analyses, and the application to sleep research.
Breakfast Buzz: Stimulating Roundtables
New, exclusive early morning sessions exploring hot topics from multiple points of view over breakfast.
Wearable EEG to monitor and modulate sleep: state of the art and clinical outlook.
Basic Human – Neuroimaging big data analysis in sleep research
Neurology – Different national cohort of rapid eye movement sleep behavior patients: risk factors for conversion and opportunity for trial
Access ESRS Sleep Europe 2024 Programme
