Deep learning signature of brain [18f]fdg pet associated with cognitive outcome of rapid eye movement sleep behavior disorder

HIGHLIGHTS

• who: Hyun Gee Ryoo from the DepartmentNational University, Daehaku2011Ro, Jongnou2011Gu, Seoul, Republic of Korea have published the research: Deep learning signature of brain [18F]FDG PET associated with cognitive outcome of rapid eye movement sleep behavior disorder, in the Journal: Scientific Reports Scientific Reports

SUMMARY

The output of the model, i.e., DL-based cognitive dysfunction score, was significantly higher | 12:19259 | 3 Vol.:(0123456789) RBD-MCI Converter Non-converter Converter c DL-based cognitive dysfunction score Above cutoff Below cutoff in RBD-MCI than in RBD-nonMCI at baseline (mean, - 0.202 . . .

 



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