Abstract:Results suggest a wide range of cortical information processing in coma, including semantic processing. The question is discussed of whether, and to what extent, these processing operations are related to conscious awareness of stimuli.
“…Despite this analysis providing non-significant results, we will nevertheless discuss them for two reasons. First, the percentage of patients exhibiting significant results at the single-patient level is similar to what has been reported in the literature on semantic categorization in comatose patients (Fischer et al, 2008; Daltrozzo et al, 2009). Second, the analysis relies on assuming that the AUC values follow a binomial distribution, which remains an untested hypothesis.…”
Section: Resultssupporting
confidence: 84%
“…Most previous studies included patients in later stages of coma (>4 days after coma onset in Daltrozzo et al, 2009) and used linguistic material (Fischer et al, 2008; Qin et al, 2008; Rama et al, 2010). Moreover, no study had been performed on patients treated with TH and while patients were under sedation; conditions which allow us to conclude that all these patients were, at least in the first recording, totally unconscious.…”
Humans can recognize categories of environmental sounds, including vocalizations produced by humans and animals and the sounds of man-made objects. Most neuroimaging investigations of environmental sound discrimination have studied subjects while consciously perceiving and often explicitly recognizing the stimuli. Consequently, it remains unclear to what extent auditory object processing occurs independently of task demands and consciousness. Studies in animal models have shown that environmental sound discrimination at a neural level persists even in anesthetized preparations, whereas data from anesthetized humans has thus far provided null results. Here, we studied comatose patients as a model of environmental sound discrimination capacities during unconsciousness. We included 19 comatose patients treated with therapeutic hypothermia (TH) during the first 2 days of coma, while recording nineteen-channel electroencephalography (EEG). At the level of each individual patient, we applied a decoding algorithm to quantify the differential EEG responses to human vs. animal vocalizations as well as to sounds of living vocalizations vs. man-made objects. Discrimination between vocalization types was accurate in 11 patients and discrimination between sounds from living and man-made sources in 10 patients. At the group level, the results were significant only for the comparison between vocalization types. These results lay the groundwork for disentangling truly preferential activations in response to auditory categories, and the contribution of awareness to auditory category discrimination.
“…Despite this analysis providing non-significant results, we will nevertheless discuss them for two reasons. First, the percentage of patients exhibiting significant results at the single-patient level is similar to what has been reported in the literature on semantic categorization in comatose patients (Fischer et al, 2008; Daltrozzo et al, 2009). Second, the analysis relies on assuming that the AUC values follow a binomial distribution, which remains an untested hypothesis.…”
Section: Resultssupporting
confidence: 84%
“…Most previous studies included patients in later stages of coma (>4 days after coma onset in Daltrozzo et al, 2009) and used linguistic material (Fischer et al, 2008; Qin et al, 2008; Rama et al, 2010). Moreover, no study had been performed on patients treated with TH and while patients were under sedation; conditions which allow us to conclude that all these patients were, at least in the first recording, totally unconscious.…”
Humans can recognize categories of environmental sounds, including vocalizations produced by humans and animals and the sounds of man-made objects. Most neuroimaging investigations of environmental sound discrimination have studied subjects while consciously perceiving and often explicitly recognizing the stimuli. Consequently, it remains unclear to what extent auditory object processing occurs independently of task demands and consciousness. Studies in animal models have shown that environmental sound discrimination at a neural level persists even in anesthetized preparations, whereas data from anesthetized humans has thus far provided null results. Here, we studied comatose patients as a model of environmental sound discrimination capacities during unconsciousness. We included 19 comatose patients treated with therapeutic hypothermia (TH) during the first 2 days of coma, while recording nineteen-channel electroencephalography (EEG). At the level of each individual patient, we applied a decoding algorithm to quantify the differential EEG responses to human vs. animal vocalizations as well as to sounds of living vocalizations vs. man-made objects. Discrimination between vocalization types was accurate in 11 patients and discrimination between sounds from living and man-made sources in 10 patients. At the group level, the results were significant only for the comparison between vocalization types. These results lay the groundwork for disentangling truly preferential activations in response to auditory categories, and the contribution of awareness to auditory category discrimination.
“…In addition, false negatives in active paradigms have also been reported by others, (c.f. Daltrozzo et al, 2009;Harrison and Connolly, 2013;Kotchoubey, 2005;Lulé et al, 2013). Thus, it appears that the paradigm itself is not sufficiently sensitive to discriminate between different DOCs and cannot be recommended for routine clinical application.…”
“…Event-related potentials (ERPs), derivatives of the EEG obtained by signal averaging, can even be used to obtain indices of specific stages of sensory and cognitive information processing. Indeed, more than a decade of comprehensive research in this [8]- [11] and other labs [12]- [16] has demonstrated the diagnostic power of several ERPs in assessing cognitive function in behaviorally unresponsive patients. The current letter presents a novel brain wave technology that executes this kind of ERP-based test rapidly and provides a diagnostic measure that blends the clinical features of the GCS with the physiological measurement of conscious awareness.…”
Abstract-When the brain is damaged, evaluating an individual's level of awareness can be a major diagnostic challenge (Is he or she in there?). Existing tests typically rely on behavioral indicators, which are incorrect in as many as one out of every two cases. The current paper presents a diagnostic device that addresses this problem. The technology circumvents behavioral limitations through noninvasive brain wave measurements (electroencephalography, or EEG). Unlike traditional EEG, the device is designed for point-of-care use by incorporating a portable, userfriendly, and stable design. It uses a novel software algorithm that automates subject stimulation, data acquisition/analysis, and the reporting of results. The test provides indicators for five identifiable levels of neural processing: sensation, perception, attention, memory, and language. The results are provided as rapidly obtained diagnostic, reliability, validity, and prognostic scores. The device can be applied to a wide variety of patients across a host of different environments. The technology is designed to be wireless-enabled for remote monitoring and assessment capabilities. In essence, the device is developed to scan for conscious awareness in order to optimize subsequent patient care.
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