Media release
From:
Society for Neuroscience
Total sleep deprivation increases brain age prediction reversibly in multi-site samples of young healthy adults
Aging visibly changes the appearance and morphology of the human brain. Machine learning algorithms can reliably estimate a person's brain age based on structural MRI scans. Brain age progression is accelerated, e.g., in patients with dementia and associated with disease severity.
Chu et al. found that a single night without sleep made the brains look older: brain age estimation increased by 1-2 years in young healthy participants. This change was reversed after subsequent recovery sleep. In contrast, there was no significant change in brain age after partial sleep deprivation.
Attachments
Note: Not all attachments are visible to the general public.
Research URLs will go live after the embargo ends.
Research
Society for Neuroscience, Web page
The URL will go live after the embargo lifts.
Journal/
conference:
JNeurosci
Organisation/s:
Forschungszentrum Jülich, Germany
Funder:
The authors would like to gratefully acknowledge the financial support and endorsement from the DLR Management Board Young Research Group Leader Program and the Executive Board Member for Space Research and Technology (E.E.). This work was supported by the Institute for Scientific Information on Coffee (ISIC), the Swiss National Science Foundation (grant No. 320030_163439), the Clinical Research Priority Program Sleep & Health of the University of Zurich, and the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 798131 (S.C.H). The authors (C.C. & D.E.) thank the ‘2019 Helmholtz – OCPC – Program for the involvement of postdocs in bilateral collaboration projects’ for their financial support that enabled this important study. The authors are grateful to the contributionfrom the participants of all datasets and to Dr. Gustav Nilsonne for introducing the data of the Stockholm Sleepy Brain project.
Sign In
International
