ENIGMA-Sleep: Challenges, opportunities, and the road map.
Masoud Tahmasian1, André Aleman2, Ole A Andreassen3
1Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran.
Journal of Sleep Research
|April 29, 2021
Summary
Large-scale, multi-center sleep research using the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium is crucial. This collaborative approach addresses limitations in individual studies to advance understanding of sleep neurobiology and disorders.
Area of Science:
- Neuroscience
- Genetics
- Sleep Medicine
Background:
- Individual neuroimaging and genetics studies on sleep disorders face limitations like small sample sizes and varied methodologies.
- A large-scale, multi-center approach is needed to harmonize data collection and analysis for reproducible sleep research.
Purpose of the Study:
- To introduce the ENIGMA-Sleep working group, a global collaborative initiative.
- To outline the group's large-scale neuroimaging and genetics studies on sleep quality, deprivation, disorders, and neuropsychiatric conditions.
- To discuss the challenges and opportunities in collaborative sleep medicine research.
Main Methods:
- Leveraging the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium's collaborative framework.
- Harmonizing data collection, preprocessing, and analysis across multiple international sites.
- Utilizing pre-registered, well-established protocols for data integrity.
Main Results:
- The ENIGMA-Sleep group has initiated large-scale worldwide studies involving institutes from 15 countries.
- Datasets are available for investigating the neurobiology of impaired sleep quality, sleep deprivation consequences, sleep disorder pathophysiology, and sleep disturbances in neuropsychiatric disorders.
Conclusions:
- Collaborative initiatives like ENIGMA-Sleep are essential for overcoming limitations in individual sleep research.
- This approach enhances the power to identify consistent neurobiological findings related to sleep and its disorders.
- Future research will benefit from harmonized protocols and large, diverse datasets for significant advancements in sleep medicine.
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