2020
DOI: 10.1093/brain/awaa026
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Prognosis for patients with cognitive motor dissociation identified by brain-computer interface

Abstract: Cognitive motor dissociation describes a subset of patients with disorders of consciousness who show neuroimaging evidence of consciousness but no detectable command-following behaviours. Although essential for family counselling, decision-making, and the design of rehabilitation programmes, the prognosis for patients with cognitive motor dissociation remains under-investigated. The current study included 78 patients with disorders of consciousness who showed no detectable command-following behaviours. These p… Show more

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Cited by 109 publications
(80 citation statements)
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“…In the previous literatures, using motor imagery tasks, task-related activation in SMA can be used to identify CMD patients (Owen et al, 2006). However, the difficulty of such tasks and the cooperation of patients could lead to false negatives in the detection of CMD (Pan et al, 2020). Although the brain computer interface (BCI) provides another way to detect the CMD patients by adopting face detection (Pan et al, 2020), the current results may provide a much easier way to identify the CMD patients by using resting-state fMRI dataset without including any active tasks.…”
Section: Discussionmentioning
confidence: 99%
“…In the previous literatures, using motor imagery tasks, task-related activation in SMA can be used to identify CMD patients (Owen et al, 2006). However, the difficulty of such tasks and the cooperation of patients could lead to false negatives in the detection of CMD (Pan et al, 2020). Although the brain computer interface (BCI) provides another way to detect the CMD patients by adopting face detection (Pan et al, 2020), the current results may provide a much easier way to identify the CMD patients by using resting-state fMRI dataset without including any active tasks.…”
Section: Discussionmentioning
confidence: 99%
“…The greatest advantage of BCI is that it can realize direct communication between the brain and the external world without using the brain's normal output pathways, e.g., the peripheral nervous system and muscle tissue. Thus, it has important application value in communication, motor assistance, neural rehabilitation, and clinical diagnosis [4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…The online calibration of the model, which allows immediate feedback to the patient constituted the principal factor for this success as this feedback enables the patient to rapidly develop a control strategy. Next we are planning to integrate this BCI supported feedback for detection of CMD, building on a recently published approach [ 21 ].…”
Section: Discussionmentioning
confidence: 99%