SummaryBackground Patients diagnosed as vegetative have periods of wakefulness, but seem to be unaware of themselves or their environment. Although functional MRI (fMRI) studies have shown that some of these patients are consciously aware, issues of expense and accessibility preclude the use of fMRI assessment in most of these individuals. We aimed to assess bedside detection of awareness with an electroencephalography (EEG) technique in patients in the vegetative state.
Adopting the framework of brain dynamics as a cornerstone of human consciousness, we determined whether dynamic signal coordination provides specific and generalizable patterns pertaining to conscious and unconscious states after brain damage. A dynamic pattern of coordinated and anticoordinated functional magnetic resonance imaging signals characterized healthy individuals and minimally conscious patients. The brains of unresponsive patients showed primarily a pattern of low interareal phase coherence mainly mediated by structural connectivity, and had smaller chances to transition between patterns. The complex pattern was further corroborated in patients with covert cognition, who could perform neuroimaging mental imagery tasks, validating this pattern’s implication in consciousness. Anesthesia increased the probability of the less complex pattern to equal levels, validating its implication in unconsciousness. Our results establish that consciousness rests on the brain’s ability to sustain rich brain dynamics and pave the way for determining specific and generalizable fingerprints of conscious and unconscious states.
Objective: Functional connectivity in the default mode network (DMN) is known to be reduced in patients with disorders of consciousness, to a different extent depending on their clinical severity. Nevertheless, the integrity of the structural architecture supporting this network and its relation with the exhibited functional disconnections are very poorly understood. We investigated the structural connectivity and white matter integrity of the DMN in patients with disorders of consciousness of varying clinical severity. Methods: Fifty-two patients-19 in a vegetative state (VS), 27 in a minimally conscious state (MCS), and 6 emerging from a minimally conscious state (EMCS)-and 23 healthy volunteers participated in the study. Structural connectivity was assessed by means of probabilistic tractography, and the integrity of the resulting fibers was characterized by their mean fractional anisotropy values. Results: Patients showed significant impairments in all of the pathways connecting cortical regions within this network, as well as the pathway connecting the posterior cingulate cortex/precuneus with the thalamus, relative to the healthy volunteers. Moreover, the structural integrity of this pathway, as well as that of those connecting the posterior areas of the network, was correlated with the patients' behavioral signs for awareness, being higher in EMCS patients than those in the upper and lower ranges of the MCS patients, and lowest in VS patients. Interpretation: These results provide a possible neural substrate for the functional disconnection previously described in these patients, and reinforce the importance of the DMN in the genesis of awareness and the neural bases of its disorders. ANN NEUROL 2012;72:335-343 P atients with disorders of consciousness (DOC) show metabolic impairments and functional disconnections within corticocortical and thalamic-cortical areas of the default mode network (DMN) [1][2][3][4] to an extent that appears to correspond to clinical severity. 5 Thus, poorer functional connectivity is observed in vegetative state (VS) patients (who show no behavioral signs of awareness) 6 than in minimally conscious state (MCS) patients (who show intermittent behavioral signs of awareness). 7It is generally assumed that functional connectivity within intrinsic networks reflects structural connectivity. A plausible hypothesis, then, is that the reduced functional connectivity observed in the DMN of DOC patients reflects structural disconnections within this network, providing anatomical support for the description of these patients as suffering from ''disconnection syndromes.'' 8 However, the relationship between structure and function in the DMN is not straightforward. 9 It has View this article online at wileyonlinelibrary.com.
Recent developments in functional neuroimaging have provided a number of new tools for assessing patients who clinically appear to be in a vegetative state. These techniques have been able to reveal awareness and even allow rudimentary communication in some patients who remain entirely behaviourally non-responsive. The implications of these results extend well beyond the immediate clinical and scientific findings to influencing legal proceedings, raising new ethical questions about the withdrawal of nutrition and hydration and providing new options for patients and families in that decision-making process. The findings have also motivated significant public discourse about the role of neuroscience research in society.
Patients in the Vegetative State (VS) do not produce overt motor behavior to command and are therefore considered to be unaware of themselves and of their environments. However, we recently showed that high-density electroencephalography (EEG) can be used to detect covert command-following in some VS patients. Due to its portability and inexpensiveness, EEG assessments of awareness have the potential to contribute to a standard clinical protocol, thus improving diagnostic accuracy. However, this technique requires refinement and optimization if it is to be used widely as a clinical tool. We asked a patient who had been repeatedly diagnosed as VS for 12-years to try to move his left and right hands, between periods of rest, while EEG was recorded from four scalp electrodes. We identified appropriate and statistically reliable modulations of sensorimotor beta rhythms following commands to try to move, which could be significantly classified at a single-trial level. These reliable effects indicate that the patient attempted to follow the commands, and was therefore aware, but was unable to execute an overtly discernable action. The cognitive demands of this novel task are lower than those used previously and, crucially, allow for awareness to be determined on the basis of a 20-minute EEG recording made with only four electrodes. This approach makes EEG assessments of awareness clinically viable, and therefore has potential for inclusion in a standard assessment of awareness in the VS.
Objectives:Functional neuroimaging has shown that the absence of externally observable signs of consciousness and cognition in severely brain-injured patients does not necessarily indicate the true absence of such abilities. However, relative to traumatic brain injury, nontraumatic injury is known to be associated with a reduced likelihood of regaining overtly measurable levels of consciousness. We investigated the relationships between etiology and both overt and covert cognitive abilities in a group of patients in the minimally conscious state (MCS).Methods: Twenty-three MCS patients (15 traumatic and 8 nontraumatic) completed a motor imagery EEG task in which they were required to imagine movements of their right-hand and toes to command. When successfully performed, these imagined movements appear as distinct sensorimotor modulations, which can be used to determine the presence of reliable command-following. The utility of this task has been demonstrated previously in a group of vegetative state patients.Results: Consistent and robust responses to command were observed in the EEG of 22% of the MCS patients (5 of 23). Etiology had a significant impact on the ability to successfully complete this task, with 33% of traumatic patients (5 of 15) returning positive EEG outcomes compared with none of the nontraumatic patients (0 of 8). Conclusions:The overt behavioral signs of awareness (measured with the Coma Recovery ScaleRevised) exhibited by nontraumatic MCS patients appear to be an accurate reflection of their covert cognitive abilities. In contrast, one-third of a group of traumatically injured patients in the MCS possess a range of high-level cognitive faculties that are not evident from their overt behavior. Neurology Patients in the minimally conscious state (MCS) are distinguished from those in the vegetative state (VS) (also referred to as unresponsive wakefulness syndrome 1 ) by the presence of inconsistent but reproducible signs of awareness.2-4 The behavioral assessment of awareness is notoriously challenging in these patients, because responses may be minimal or only inconsistently present. This has led to a misdiagnosis rate of ϳ40% of VS patients who, in fact, exhibit small but reproducible evidence of awareness when assessed by an experienced clinical team. [5][6][7] Functional neuroimaging has established that, even when extensive behavioral assessment concludes that a patient is unaware, it does not necessarily follow that awareness is truly absent.
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