A multi-domain prognostic model of disorder of consciousness using resting-state fMRI and laboratory parameters.

Yamei YuFanxia MengLi ZhangXiaoyan LiuYuehao WuSicong ChenXufei TanXiaoxia LiSheng KuangYu SunBenyan Luo

Published in: Brain imaging and behavior (2020)

Our results suggest that laboratory parameters only contribute to the outcome prediction of DOC patients, whereas combining information from neuroimaging and clinical parameters may represent a strategy to achieve a more accurate prognostic model, which may further provide better guidance for clinical management of DOC patients.

Keyphrases

resting state
functional connectivity
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
high resolution
patient reported outcomes
social media
patient reported
health information