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The goal of this observational study is to learn about the microexpressions in patients with prolonged disorders of consciousness. The main questions it aims to answer are:
Participants will be subjected to consciousness assessment by CRS-r scale, and their micro-expression changes in response to various emotional stimuli will be captured, along with the collection of EEG and MRI data. Follow-up evaluations will be conducted using the CRS-R scale and GOS scale, with a follow-up period of 6 months.
Full description
In accordance with the inclusion and exclusion criteria, a total of about 200 participants will be recruited, including about 150 confirmed cases of prolonged disorders of consciousness and 50 healthy control subjects (HCs). Utilizing the random split algorithm from the machine learning library sklearn, the dataset will be randomly divided into a training set (70%) and a testing set (30%). General information about the participants such as age, gender, time and location of injury, as well as medical history, family history, medication history, and surgical history will be collected.
Participants will undergo dual-person, multiple assessments using the CRS-R scale to evaluate auditory, visual, motor, speech responsiveness, communication, and arousal levels. Micro-expression changes in response to various emotional stimuli will be collected, along with EEG and MRI data.
Follow-up evaluations will be conducted on all enrolled patients using the CRS-R scale and the GOS scale, with a follow-up period of 6 months.
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200 participants in 2 patient groups
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Central trial contact
Fangping He, Master
Data sourced from clinicaltrials.gov
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