2013
DOI: 10.1016/s0140-6736(13)60125-7
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Reanalysis of “Bedside detection of awareness in the vegetative state: a cohort study”

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Cited by 84 publications
(83 citation statements)
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“…128 Other studies have used motor imagery to detect command-related EEG changes in MCS 129 and some rare VS cases 130 in the absence of overt motor behaviour. An independent re-analysis of the data from the latter study, 131 however, identified statistical flaws and failed to reproduce the initial findings, illustrating the challenge of developing reliable statistical classifiers of ERP data in DOC. Indeed, in the absence of a gold standard for measuring consciousness, 19,83 active functional neuroimaging or neurophysiological tools must strike a balance between avoidance of false-positive and false-negative errors.…”
Section: Electrophysiologymentioning
confidence: 95%
“…128 Other studies have used motor imagery to detect command-related EEG changes in MCS 129 and some rare VS cases 130 in the absence of overt motor behaviour. An independent re-analysis of the data from the latter study, 131 however, identified statistical flaws and failed to reproduce the initial findings, illustrating the challenge of developing reliable statistical classifiers of ERP data in DOC. Indeed, in the absence of a gold standard for measuring consciousness, 19,83 active functional neuroimaging or neurophysiological tools must strike a balance between avoidance of false-positive and false-negative errors.…”
Section: Electrophysiologymentioning
confidence: 95%
“…These dependencies are lower for block designs ( Figure 4B) but can still be observed (e.g., Goldfine et al, 2013). The safest solution is to perform a cross-validation across independent fMRI measurement periods (runs) for both trialbased and block-based experiments (Mumford et al, 2014).…”
Section: Analyzing Patterned Fmri Signalsmentioning
confidence: 99%
“…The motor imagery task they employed, which the authors claim to have developed as 'novel', involves imagination of hand and foot movement and has in fact been used for over two decades in both basic research and in clinical research involving brain-computer interfaces in patients with motor and neuromuscular disorders (Kalcher et al, 1996;McFarland et al, 1997McFarland et al, , 2000Müller-Putz et al, 2005;Neuper et al, 2003;Penny et al, 2000;Pfurtscheller et al, 1993Pfurtscheller et al, , 2000Scherer et al, 2004;Wolpaw et al, 1991; for reviews see e.g., Neuper and Pfurtscheller, 1999;Neuper et al, 2006a,b;Wolpaw et al, 2002). Recently, a debate has arisen over the statistical methods employed by Cruse et al in a re-analysis of the study's data by Goldfine et al (2013) which suggests that Cruse et al's methods violate statistical assumptions and are biased towards falsely identifying awareness in VS patients. However Cruse et al's (2013) rebuttal argues that Goldfine and colleagues' methods are unsuitable for the data and equally error-prone in the opposite direction, making detection of awareness unlikely not only in patients, but also in a majority of healthy controls.…”
Section: Detection Of Awarenessmentioning
confidence: 99%