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The goal of this observational study is to learn about the micro-movements in patients with prolonged disorders of consciousness. The main questions it aims to answer are:
Use the neuropsychological paradigm model to monitor micro-movements, assess the patient's remaining level of consciousness and accurately classify it; screen out patients with cognitive-motor dissociation to improve the prognosis of cognitive function; explore the remaining brain function of patients with chronic disorders of consciousness and promote relevant study of neural mechanisms.
Participants will be subjected to consciousness assessment by CRS-r scale, and their micro-movement 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 178 participants will be recruited, including about 89 confirmed cases of prolonged disorders of consciousness and 89 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-movement 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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179 participants in 2 patient groups
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Central trial contact
Benyan Luo; Zhuolin He
Data sourced from clinicaltrials.gov
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