Chronic disorders of consciousness (Review)

  • Authors:
    • Qiuyou Xie
    • Xiaoxiao Ni
    • Ronghao Yu
    • Yuanqing Li
    • Ruiwang Huang
  • View Affiliations

  • Published online on: June 21, 2017     https://doi.org/10.3892/etm.2017.4639
  • Pages: 1277-1283
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Over the last 20 years, studies have provided greater insight into disorders of consciousness (DOC), also known as altered state of consciousness. Increased brain residual functions have been identified in patients with DOC due to the successful application of novel next‑generation imaging technologies. Many unconscious patients have now been confirmed to retain considerable cognitive functions. It is hoped that greater insight regarding the psychological state of patients may be achieved through the use of functional magnetic resonance imaging and brain‑computer interfaces. However, issues surrounding the research and treatment of DOC remain problematic. These include differing opinions on the definition of consciousness, difficulties in diagnosis, assessment, prognosis and/or treatment, and newly emerging ethical, legal and social issues. To overcome these, appropriate care must be offered to patients with DOC by clinicians and families, as DOC patients may now be considered to live in more than just a vegetative state. The present article reviews the controversy surrounding the definition of consciousness and the reliability of novel technologies, prognostic prediction, communication with DOC patients and treatment methods. The ethical and social issues surrounding the treatment of DOC and future perspectives are also considered.

Introduction

Developments in modern emergency treatments and life-support systems have substantially improved the treatment of severe trauma or cardiac accidents for millions of patients. Traumatic brain injury-related mortality has reduced from 17% in 2000 to 11% in 2010, as reported by Siman-Tov, et al (1). However, 10–15% of patients who sustain severe acquired brain injury enter a condition termed a disorder of consciousness (DOC), which broadly includes the syndromes of coma, vegetative state [VS; also known as unresponsive wakefulness syndrome (UWS)] and minimally conscious state (MCS) (2,3). Over the past century, there have been few methods that reliably assess the consciousness of DOC patients, as methods of traditional behavioral assessment may be easily limited. In DOC patients, responses to command may be only minimal or inconsistently present and can be very difficult to identify clinically. This may be a primary factor contributing to a ~40% misdiagnosis rate for VS (4).

However, recent advances in neuroimaging, such as functional magnetic resonance imaging (fMRI) and brain computer interface (BCI) have improved the identification of residual cognition in DOC patients (5). These recently developed techniques have provided novel insights into the brain function of DOC patients and may partly complement the clinical behavioral assessment. They may also be employed to examine the effects of certain therapeutic interventions, including pharmacological agents, brain stimulations and music training (5,6). In the current article, advances in the clinical assessment of DOC patients are reviewed, in addition to current concerns and future perspectives in the treatment of DOC.

Controversy over the concept of consciousness

Due to improvements in emergency therapy, particularly in life-support systems, the mortality rates of patients with severe head trauma or cardiac arrest have been markedly decreased (1). However, 10–15% patients who survive the acute coma stage enter into a chronic DOC (2,3). Therefore, the treatment and rehabilitation of patients with DOC is a major challenge in clinical neuroscience. As a pre-requisite for effective treatment, an objective assessment of the conscious state of DOC patients is necessary, which has been a focus of research from both clinical and neuroscience perspectives (7).

A plausible definition of consciousness limits the in-depth investigation of DOC that may otherwise provide insight into the different states of consciousness. Several definitions of consciousness have so far been proposed (8). A commonly accepted viewpoint is that consciousness is the brain's ability to form cognition of the world, including sensations and perceptions of oneself and the environment. The majority of researchers believe that consciousness can be separated into a minimum of two components; wakefulness and awareness. The former refers to the level of consciousness and the latter the content of consciousness. The majority of patients with traumatic brain injuries transit through the following states of consciousness during recovery: Coma, VS (UWS), MCS and emergence from MCS. This recovery path is consistent with the two aspects of consciousness, as first the level of consciousness is recovered, which is then succeeded by re-building of its contents (9,10). This is indicated by the recovery of DOC patients, of which there are two contradicting nomenclatures (Fig. 1). One is functional locked-in syndrome (fLiS), the other is functional MCS (fMCS). Locked-in syndrome (LiS) is caused by an insult to the ventral pons, most commonly an infarct, haemorrhage or trauma. The typical signs of LiS are quadriplegia and anarthria with preservation of consciousness and vertical eye movement, facilitating non-verbal communication. Bauer et al (11) reviewed the history of LiS and divided it into three types: classical LiS (total immobility with the exception of vertical eye movements and blinking), incomplete LiS (If any other movements are present) and total LiS (total immobility, including all eye movements, combined with signs of undisturbed cortical function in the EEG). The neuroanatomical basis of LiS was also analyzed and it was indicated that a de-efferented state with preserved consciousness appears to be possible with lesions in both cerebral peduncles (11). This state may preserve all or partial consciousness, detected using modern neuroimaging technologies, which demonstrate functional communication (active paradigm) and between-network anti-correlation (passive paradigm) (12). The present study therefore hypothesized that fLiS should be kept as a separate nomenclature for this state and as one member of the LiS sequence. To be consistent with the classification of other MCS (MCS- and MCS+), Gosseries et al (13) proposed MCS* as an indicator of VS with covert awareness. However, para-clinical tests indicate no functional communication and no between-network anti-correlation in patients with fMCS (12).

Consciousness, however, may not simply consist of two dimensions (14). Laureys and Schiff (15) proposed a revised recovery path of DOC, which due to its complexity is difficult to accurately replicate. Monti (16) thus proposed that alternative recovery behavior belonged to a third dimension of consciousness; however, not all types of DOC can be accurately described by the improved model. Therefore, other dimensions are considered to support consciousness, including those depicted in Fig. 2 (9,10). With the exception of the familiar concepts such as level of consciousness (wakefulness) and content of consciousness (awareness), behavior, degree and range were also proposed as dimensions of consciousness (9,14). It is therefore possible that more dimensions may exist (Fig. 2).

Reliability of novel diagnostic technologies

Given the uncertainty surrounding the definition of consciousness, difficulties remain in the diagnosis and assessment of DOC. Behavioral assessment is considered to be a golden standard method for evaluating the awareness of patients with DOC (7). Various other methods, including skin conductance response (SCR), diameter of the pupils, breathing control and mini movement micro-switch have also been proposed to advance the diagnosis and assessment of DOC (1720). According to the Coma Recovery Scale-Revised (CRS-R), any early signs, including visual fixation, visual pursuit and pain location, may aid to determine whether a patient has transited from VS to MCS (4). However, the rate of clinical misdiagnosis based on the CRS-R remains high, due to subjectivity of the evaluator and the physical status of the patient (21).

With the development of positron emission tomography (PET), fMRI and electroencephalographic (EEG) recording of event related potentials (ERP), detection and analysis of brain activity signals are now possible in clinical practice (22). In turn, these techniques may enable the detection of residual cognitive brain functions in DOC patients. Previous results have demonstrated that 17–19% of patients may be distinguished from VS/UWS by the detection of brain activity changes with fMRI or EEG (23). In turn, this patient ratio was increased up to 33% with the use of Sitt's automatic classification of the state of consciousness (24). Therefore, previous evaluations based on behavior may have underestimated the brain function of DOC patients.

Brain activity may become a target for evaluation of consciousness, as neuroimaging techniques are able to detect cognitive function by decoding conscious responses based on brain activity (25). Advances in computer science have also made a form of communication with DOC patients possible, by modulating the brain activity or through the control of electrical brain activity (26). With the development of these novel imaging methods, the current guideline or consensus on behavior-based diagnosis and evaluation should be revised in order to progress and allow these newly developed imaging techniques to be considered in discussing the diagnoses, treatment and prognosis of DOC. However, cognitive function detected by current technologies is still unable to reliably prove the consciousness of a DOC patient. Brain activity alone cannot prove patient consciousness, though it has been hypothesized that consciousness is associated with brain activity (27). Importantly, a fundamental distinction between consciousness and unconsciousness is yet to be determined. This should be defined based on a more feasible, sensitive and accurate diagnostic criteria, built on a combination of the available behavioral, brain imaging and electrophysiological measures.

Prognosis of DOC patients

Prognosis is also a concern for DOC patients. Classical prognostic indicators include age, etiology, coma period, CRS-R or Disability Rating Scale (DRS), S100 protein and neuron-specific enolase (NSE) expression and N20 neuron potential. CRS-R or DRS scores are associated with patient prognosis and have a marked predictive power with respect to the time until commands are followed (28).

According to the biomarkers, NSE and S-100B are released following injury to neurons and glial cells respectively and are likely to be associated with the extent of anoxic-ischemic neurological injury following cardiac arrest and therefore, with the severity of neurological outcome (29,30). Median nerve somatosensory evoked potentials (SEPs; primarily N20) also provide useful prognostic information regarding the outcome following coma and are becoming increasingly used (31,32).

The development of PET, fMRI, EEG and BCI has made it possible to predict the prognosis of DOC patients. For instance, Vogel et al (33) tested active signals within regions of interest (ROIs) of 22 DOC patients using a mental imagery fMRI paradigm. It was suggested that VS patients with ROIs that were activated significantly had the potential to recover from DOC to MCS at minimum, while those with inactivated ROIs were likely to remain in VS. In addition, Luyt et al (34) analyzed Diffusion Tensor Imaging results of 57 post-cardiopulmonary resuscitation patients two weeks after entering a coma, revealing that the specificity and sensibility of the Fractional Anisotropy index as a one-year prognostic indicator were 100 and 94%, respectively.

Di et al (35) also systematically reviewed previous studies on the use of PET and fMRI in DOC patients, and based on results, classified the neuroimaging activation into three patterns: Absence of cortical activation, typical low-level primary cortical activation and higher level associative cortical activation. The latter high level activation mode was demonstrated to predict recovery from VS with 93% specificity and 69% sensitivity.

EEG is also a simple and effective method of detecting brain function in DOC patients, and Lehembre et al (36) suggested that quantitative EEG may be a useful way of distinguishing MCS from VS/UWS. In addition, Qin et al (37) and Cavinato et al (38) evaluated the prognostic values of cognitive event-related potential (ERP). It was observed that MMN and P300, evoked by the subject's own name, exhibited potential prognostic values in predicting recovery of consciousness and therefore, they may serve as good prognostic markers. However, through the use of active task paradigms, it may be possible to determine whether a patient has an appropriate level of residual brain function to process stimulation, and thus if they are likely to regain consciousness (39). However, current technology remains unable to accurately determine the prognosis of DOC patients. Future multi-center studies are warranted to determine the efficacy of novel neuroimaging technologies as prognostic indicators in DOC.

Communication with DOC patients

Communication with DOC patients is now possible due to the aforementioned imaging technologies, particularly with fMRI. Owen et al (40) were among the first to establish successful communication with DOC patients using real-time fMRI combined with mental imaging stimuli, demonstrating the possibility of binary communication with DOC patients through use of their residual brain functions. Although these results are controversial due to the voluntary activation of task-specific brain areas in response to passive exposure to stimuli associated with a specific action can be with or without conscious awareness, they are considered to be a key paradigm in DOC research (41).

However, there are limitations to the application of fMRI in the management of DOC, including high cost, immobility, inconvenience of operation and a complicated operational procedure (42). Other non-invasive methods are therefore employed for communication with DOC patients, including EEG and functional near-infrared spectroscopy (fNISS). Naci et al (43) compared the efficacy of fMRI, FNISS and EEG with BCI and observed that EEG may be a suitable method of communication. Although EEG signals are affected by involuntary muscle or eye movements and has limited spatial resolution, particularly within deep brain structures, EEG has a number of advantages over other methods such as fMRI and PET, including low cost, noninvasiveness, a relatively simple operational procedure, high temporal resolution and further BCI applications (42). Thus, EEG may be an ideal communicative apparatus.

BCI based around EEG is used to evaluate the different components identified by EEG, including P3 potential, sensorimotor rhythm, also known as mu-rhythm, and slow cortical potentials (44). Münßinger et al (45) assessed two different versions of the P300-Brain Painting application: A colored matrix in 3 ALS-patients and 10 healthy participants, and a black and white matrix assessed by 10 healthy participants. The ALS-patients were able to use the application with the same accuracy as healthy subjects and greatly enjoyed P300-Brain Painting. Coyle et al (46) also used image-based BCI to examine the effect of real-time feedback in an MCS patient. It was revealed that, with no feedback, two motor imagery (MI; hand grasp vs. toe movement) could be classified with ~82% accuracy with only three EEG channels. When providing real-time feedback with two games where the participant was instructed to move a ball and a spaceship respectively, to reach a target by performing the same MI tasks, 77.5% ball and 80% spaceship control were achieved. This means real-time feedback may be used in the detection of awareness and as a means of communication.

The aforementioned studies indicate the preliminary applications of BCI in DOC patients. As nearly 20% of the accuracy obtained by potential users does not reach criterion level, BCI control is not currently accurate enough for clinical use (47). Despite the requirement for further adaptation of BCI to patients with disorders of consciousness, this assisted communication technology does, however, provide insight into the cognitive state of DOC patients. With future improvements in the design of BCI paradigms, it may be possible to elucidate the cognitive function of DOC patients, particularly regarding their decision-making processes. Verbal communication with DOC patients may also become possible with improved BCI techniques (48,49).

Future therapies for DOC patients

Although there have been advances in research regarding the treatment of DOC, there remain few effective therapies in clinical use. In clinical trials, several drugs have been documented to improve motor ability and cognitive functions, including Bromocrirtine, Levodopa, Baclofen, Chalybeate, Zolpidem, Apomorphine, Ritalin, Meclofenoxate and Amantadine (50). However, no drugs have been further approved thus far. Therefore basic life support, including sufficient hydration and nutrition, remain the recommended therapeutic strategies for patients with DOC in China (51).

An alternative therapeutic method is neural stimulation, including median nerve electrical stimulation, cervical spinal cord stimulation to the dorsal column and deep brain stimulation to the central thalamic nuclei (52). These methods have been demonstrated to alleviate the restrictions in functional communication, motor performance, feeding and object naming experienced by DOC patients, particularly in MCS patients with traumatic brain injuries (53). In addition, the administration of transcranial direct current stimulation in DOC has exhibited promising rehabilitative effects, particularly within the left dorsolateral prefrontal cortex in MCS patients following severe brain damage (54).

The significance of the aforementioned studies remains to be elucidated by large sample clinical trials, as their applications are currently questioned (55). Effective therapies for DOC are expected to emerge with improved understanding of brain function, which in turn warrants further study. In the future, a combination therapy involving medicine, physical stimuli and genetic/cell therapy may be a viable therapeutic option in the treatment of DOC.

Ethical, legal and social issues

Ethical, legal and social issues have arisen due to the lack of effective therapies for VS/UWS. A principal controversy is the decision to end life support for VS/UWS patients, particularly those deemed to be permanent VS patients (remaining in an unconsciousness state for one year following traumatic injury or three months following non-traumatic injury) (56). Whether any one individual should be responsible for the survival or mortality of DOC patients is also questioned by clinicians and lawyers. Patient caregivers additionally present ethical and social issues, due to concerns over their physical and psychological state, attitude toward patients and economical or social pressures. Views of the patient are also difficult to obtain, and even with novel technologies, the only communications currently possible are binary ‘yes or no’ choices (5760).

Furthermore, as the cognitive functions of DOC patients are severely compromised, and their expressions may be inaccurate. Indeed, it has been suggested that concerns regarding the ethical treatment and social needs of patients should be expressed by relatives and guardians, despite the development of novel technologies (61).

The quality of life of DOC patients is also questioned, although a previous study in patients with locked-in syndrome (LIS) contradicts traditional views that DOC patients have a low quality of life (62). Specifically, the study by Bruno et al (62) documented that 72% of LIS patients stated their lives were meaningful despite their living in social isolation or being severely disabled, while only 28% of patients declared that they were unhappy. It has also been reported that VS/UWS patients may experience pain following electrical stimulation of the median nerve (63), indicating that VS/UWS patients may benefit from additional therapy, such as analgesia. Thus, patient quality of life as well as survival should be considered in the long-term treatment of DOC. Optimizing the aforementioned technologies in the diagnosis and treatment of DOC may be useful in addressing these ethical and social issues.

Current limitations and future perspectives

Although there have been advances in experimental research on DOC, their detailed underlying mechanisms remain to be elucidated, and existing classification systems are unable to describe all clinical sub-types. In addition, the efficacy of novel neuroimaging technologies regarding the diagnosis, prognostic assessment and treatment of DOC require verification from large-sample clinical trials. The ethical, legal and social issues associated with DOC should also be addressed alongside the development of clinical methods.

Clinical-based studies may aid to determine the efficacy of neuroimaging methods. Specifically, studies that combine assessments of behavior and brain activity using BCI are warranted, which first requires improvements in current BCI technology. Increased understanding of residual cognitive functions may also aid the diagnosis, treatment and prognostic evaluation of DOC patients. The ethical and social issues concerning the quality of life, survival and treatment of DOC patients should also be considered rather than solely their physical condition.

In China, ethical and clinical guidelines, similar to those formulated by Coleman and Dolce (64), should be formulated for Chinese DOC patients by multi-disciplinary DOC research groups. Regular consultations across departments, including neurology, neurosurgery and neurological rehabilitation and intensive care units, may aid to better conserve brain function during the early stages of brain injury, potentially reducing the risk of DOC. In addition, Chinese epidemiological surveys are warranted to obtain data that may aid in decision-making by the government: For example, the incidence and prevalence of DOCs, the average cost of a chronic DOC patient in one year and the caregivers' burden (65), which are all worthy of consideration when discussing public health expenditure. In addition, internet-based DOC associations, comprised of doctors, patients, relatives and social workers, may facilitate information exchange, education and communication between clinicians, relatives and caregivers.

Conclusion

Our group is the first clinical DOC research group in China and has established a coma recovery unit in the Institute of Neuroscience, which has thus treated 60–80 DOC patients annually. Multi-disciplinary studies including functional neuroimaging and electrophysiological recording, namely PET, fMRI and BCI, have also been performed in our laboratory (66,67). In addition, our group has established cooperation among research institutes and non-governmental organizations to promote the welfare of DOC patients, with an ultimate goal of establishing the first DOC society in China. For DOC patients, therapy alone is unable to resolve all the issues presented by altered conscious states, even after the emergence of novel technologies. Thus, provision of humanistic care for DOC patients and their relatives is currently the primary goal in the treatment of DOC.

Acknowledgements

The current study was supported by the National Natural Science Foundation, China (grant nos. 81271548 and 81371535), the Guangdong Province Project for Science and Technology (grant no 2012A030400025) and the Guangzhou Municipal Project for Science and Technology (grant no. 201508020253).

References

1 

Siman-Tov M, Radomislensky I and K; ITG Peleg: Reduction in trauma mortality in Israel during the last decade (2000–2010): The impact of changes in the trauma system. Injury. 44:1448–1452. 2013. View Article : Google Scholar : PubMed/NCBI

2 

Wang X, Sun X and Liu H: Clinical analysis and misdiagnosis of cerebral venous thrombosis. Exp Ther Med. 4:923–927. 2012.PubMed/NCBI

3 

Levin HS, Saydjari C, Eisenberg HM, Foulkes M, Marshall LF, Ruff RM, Jane JA and Marmarou A: Vegetative state after closed-head injury. A traumatic coma data bank report. Arch Neurol. 48:580–585. 1991. View Article : Google Scholar : PubMed/NCBI

4 

Schnakers C, Vanhaudenhuyse A, Giacino J, Ventura M, Boly M, Majerus S, Moonen G and Laureys S: Diagnostic accuracy of the vegetative and minimally conscious state: Clinical consensus versus standardized neurobehavioral assessment. BMC Neurol. 9:352009. View Article : Google Scholar : PubMed/NCBI

5 

Gosseries O, Pistoia F, Charland-Verville V, Carolei A, Sacco S and Laureys S: The role of neuroimaging techniques in establishing diagnosis, prognosis and therapy in disorders of consciousness. Open Neuroimag J. 10:52–68. 2016. View Article : Google Scholar : PubMed/NCBI

6 

Zatorre RJ: Predispositions and plasticity in music and speech learning: Neural correlates and implications. Science. 342:585–589. 2013. View Article : Google Scholar : PubMed/NCBI

7 

Owen AM and Coleman MR: Detecting awareness in the vegetative state. Ann N Y Acad Sci. 1129:130–138. 2008. View Article : Google Scholar : PubMed/NCBI

8 

Brown JW: The science of consciousness: Psychological, neuropsychological and clinical reviews. J Nerv Ment Dis. 186:621998. View Article : Google Scholar

9 

Zeman A: Consciousness. Brain. 124:1263–1289. 2001. View Article : Google Scholar : PubMed/NCBI

10 

Bayne T, Hohwy J and Owen AM: Are there levels of consciousness? Trends Cogn Sci. 20:405–413. 2016. View Article : Google Scholar : PubMed/NCBI

11 

Bauer G, Gerstenbrand F and Rumpl E: Varieties of the locked-in syndrome. J Neurol. 221:77–91. 1979. View Article : Google Scholar : PubMed/NCBI

12 

Di Perri C, Thibaut A, Heine L, Annen J and Laureys S: Towards new methods of diagnosis in disorders of consciousness - Authors' reply. Lancet Neurol. 15:1115–1116. 2016. View Article : Google Scholar : PubMed/NCBI

13 

Gosseries O, Zasler ND and Laureys S: Recent advances in disorders of consciousness: Focus on the diagnosis. Brain Inj. 28:1141–1150. 2014. View Article : Google Scholar : PubMed/NCBI

14 

Fazekas P and Overgaard M: Multidimensional models of degrees and levels of consciousness. Trends Cogn Sci. 20:715–716. 2016. View Article : Google Scholar : PubMed/NCBI

15 

Laureys S and Schiff ND: Coma and consciousness: Paradigms (re)framed by neuroimaging. Neuroimage. 61:478–491. 2012. View Article : Google Scholar : PubMed/NCBI

16 

Monti MM: Cognition in the vegetative state. Annu Rev Clin Psychol. 8:431–454. 2012. View Article : Google Scholar : PubMed/NCBI

17 

Scott RB, Minati L, Dienes Z, Critchley HD and Seth AK: Detecting conscious awareness from involuntary autonomic responses. Conscious Cogn. 20:936–942. 2011. View Article : Google Scholar : PubMed/NCBI

18 

Stoll J, Chatelle C, Carter O, Koch C, Laureys S and Einhäuser W: Pupil responses allow communication in locked-in syndrome patients. Curr Biol. 23:R647–R648. 2013. View Article : Google Scholar : PubMed/NCBI

19 

Charland-Verville V, Lesenfants D, Sela L, Noirhomme Q, Ziegler E, Chatelle C, Plotkin A, Sobel N and Laureys S: Detection of response to command using voluntary control of breathing in disorders of consciousness. Front Hum Neurosci. 8:10202014. View Article : Google Scholar : PubMed/NCBI

20 

Lancioni GE, Singh NN, O'Reilly MF, Sigafoos J, Amenduni MT, Navarro J, Buonocunto F, Scarabino T and Belardinelli MO: Microswitch technology and contingent stimulation to promote adaptive engagement in persons with minimally conscious state: A case evaluation. Cogn Process. 13:133–137. 2012. View Article : Google Scholar : PubMed/NCBI

21 

Majerus S, Gill-Thwaites H, Andrews K and Laureys S: Behavioral evaluation of consciousness in severe brain damage. Prog Brain Res. 150:397–413. 2005. View Article : Google Scholar : PubMed/NCBI

22 

Cruse D and Owen AM: Consciousness revealed: New insights into the vegetative and minimally conscious states. Curr Opin Neurol. 23:656–660. 2010. View Article : Google Scholar : PubMed/NCBI

23 

Cruse D, Chennu S, Chatelle C, Bekinschtein TA, Fernández-Espejo D, Pickard JD, Laureys S and Owen AM: Bedside detection of awareness in the vegetative state: A cohort study. Lancet. 378:2088–2094. 2011. View Article : Google Scholar : PubMed/NCBI

24 

Sitt JD, King JR, El Karoui I, Rohaut B, Faugeras F, Gramfort A, Cohen L, Sigman M, Dehaene S and Naccache L: Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state. Brain. 137:2258–2270. 2014. View Article : Google Scholar : PubMed/NCBI

25 

Owen AM: Detecting consciousness: A unique role for neuroimaging. Annu Rev Psychol. 64:109–133. 2013. View Article : Google Scholar : PubMed/NCBI

26 

Lule D, Noirhomme Q, Kleih SC, Chatelle C, Halder S, Demertzi A, Bruno MA, Gosseries O, Vanhaudenhuyse A, Schnakers C, et al: Probing command following in patients with disorders of consciousness using a brain-computer interface. Clin Neurophysiol. 124:101–106. 2013. View Article : Google Scholar : PubMed/NCBI

27 

Yu T, Lang S, Vogel D, Markl A, Müller F and Kotchoubey B: Patients with unresponsive wakefulness syndrome respond to the pain cries of other people. Neurology. 80:345–352. 2013. View Article : Google Scholar : PubMed/NCBI

28 

Whyte J, Katz D, Long D, DiPasquale MC, Polansky M, Kalmar K, Giacino J, Childs N, Mercer W, Novak P, et al: Predictors of outcome in prolonged posttraumatic disorders of consciousness and assessment of medication effects: A multicenter study. Arch Phys Med Rehabil. 86:453–462. 2005. View Article : Google Scholar : PubMed/NCBI

29 

Rosén H, Sunnerhagen KS, Herlitz J, Blomstrand C and Rosengren L: Serum levels of the brain-derived proteins S-100 and NSE predict long-term outcome after cardiac arrest. Resuscitation. 49:183–191. 2001. View Article : Google Scholar : PubMed/NCBI

30 

Sandroni C, Cariou A, Cavallaro F, Cronberg T, Friberg H, Hoedemaekers C, Horn J, Nolan JP, Rossetti AO and Soar J: Prognostication in comatose survivors of cardiac arrest: An advisory statement from the European resuscitation council and the European society of intensive care medicine. Resuscitation. 85:1779–1789. 2014. View Article : Google Scholar : PubMed/NCBI

31 

Lee YC, Phan TG, Jolley DJ, Castley HC, Ingram DA and Reutens DC: Accuracy of clinical signs, SEP, and EEG in predicting outcome of hypoxic coma: A meta-analysis. Neurology. 74:572–580. 2010. View Article : Google Scholar : PubMed/NCBI

32 

Robinson LR, Micklesen PJ, Tirschwell DL and Lew HL: Predictive value of somatosensory evoked potentials for awakening from coma. Crit Care Med. 31:960–967. 2003. View Article : Google Scholar : PubMed/NCBI

33 

Vogel D, Markl A, Yu T, Kotchoubey B, Lang S and Müller F: Can mental imagery functional magnetic resonance imaging predict recovery in patients with disorders of consciousness? Arch Phys Med Rehabil. 94:1891–1898. 2013. View Article : Google Scholar : PubMed/NCBI

34 

Luyt CE, Galanaud D, Perlbarg V, Vanhaudenhuyse A, Stevens RD, Gupta R, Besancenot H, Krainik A, Audibert G, Combes A, et al: Diffusion tensor imaging to predict long-term outcome after cardiac arrest: A bicentric pilot study. Anesthesiolog. 117:1311–1321. 2012. View Article : Google Scholar

35 

Di H, Boly M, Weng X, Ledoux D and Laureys S: Neuroimaging activation studies in the vegetative state: Predictors of recovery? Clin Med (Lond). 8:502–507. 2008. View Article : Google Scholar : PubMed/NCBI

36 

Lehembre R, Gosseries O, Lugo Z, Jedidi Z, Chatelle C, Sadzot B, Laureys S and Noirhomme Q: Electrophysiological investigations of brain function in coma, vegetative and minimally conscious patients. Arch Ital Biol. 150:122–139. 2012.PubMed/NCBI

37 

Qin P, Di H, Yan X, Yu S, Yu D, Laureys S and Weng X: Mismatch negativity to the patient's own name in chronic disorders of consciousness. Neurosci Lett. 448:24–28. 2008. View Article : Google Scholar : PubMed/NCBI

38 

Cavinato M, Freo U, Ori C, Zorzi M, Tonin P, Piccione F and Merico A: Post-acute P300 predicts recovery of consciousness from traumatic vegetative state. Brain Inj. 23:973–980. 2009. View Article : Google Scholar : PubMed/NCBI

39 

Schnakers C, Giacino JT, Løvstad M, Habbal D, Boly M, Di H, Majerus S and Laureys S: Preserved covert cognition in noncommunicative patients with severe brain injury? Neurorehabil Neural Repair. 29:308–317. 2015. View Article : Google Scholar : PubMed/NCBI

40 

Owen AM, Coleman MR, Boly M, Davis MH, Laureys S and Pickard JD: Detecting awareness in the vegetative state. Science. 313:14022006. View Article : Google Scholar : PubMed/NCBI

41 

Nachev P and Husain M: Comment on ‘Detecting awareness in the vegetative state’. Science. 315:12212007. View Article : Google Scholar : PubMed/NCBI

42 

Di Perri C, Heine L, Amico E, Soddu A, Laureys S and Demertzi A: Technology-based assessment in patients with disorders of consciousness. Ann Ist Super Sanita. 50:209–220. 2014.PubMed/NCBI

43 

Naci L, Monti MM, Cruse D, Kübler A, Sorger B, Goebel R, Kotchoubey B and Owen AM: Brain-computer interfaces for communication with nonresponsive patients. Ann Neurol. 72:312–323. 2012. View Article : Google Scholar : PubMed/NCBI

44 

Donchin E, Spencer KM and Wijesinghe R: The mental prosthesis: Assessing the speed of a P300-based brain-computer interface. IEEE Trans. Rehabil Eng. 8:174–179. 2000. View Article : Google Scholar

45 

Münßinger JI, Halder S, Kleih SC, Furdea A, Raco V, Hösle A and Kübler A: Brain painting: First evaluation of a new brain-computer interface application with ALS-patients and healthy volunteers. Front Neurosci. 4:1822010. View Article : Google Scholar : PubMed/NCBI

46 

Coyle DH, Carroll A, Stow J, McCann A, Ally A and McElligott J: Enabling control in the minimally conscious state in a single session with a three channel BCI. Proceedings of the First International DECODER Workshop. The 1st international DECODER Workshop, Paris. pp. 1–4. 2012;

47 

Kübler A: Brain-computer interfaces for communication in paralysed patients and implications for disorders of consciousnessTononi G and Laureys S: The neurology of consciousness. Academic Press, Elsevier; pp. 217–234. 2008

48 

Lulé D, Noirhomme Q, Kleih SC, Chatelle C, Halder S, Demertzi A, Bruno MA, Gosseries O, Vanhaudenhuyse A, Schnakers C, et al: Probing command following in patients with disorders of consciousness using a brain-computer interface. Clin Neurophysiol. 124:101–106. 2013. View Article : Google Scholar : PubMed/NCBI

49 

Li Y, Pan J, He Y, Wang F, Laureys S, Xie Q and Yu R: Detecting number processing and mental calculation in patients with disorders of consciousness using a hybrid brain-computer interface system. BMC Neurol. 15:2592015. View Article : Google Scholar : PubMed/NCBI

50 

Giacino JT, Whyte J, Bagiella E, Kalmar K, Childs N, Khademi A, Eifert B, Long D, Katz DI, Cho S, et al: Placebo-controlled trial of amantadine for severe traumatic brain injury. N Engl J Med. 366:819–826. 2012. View Article : Google Scholar : PubMed/NCBI

51 

Yang Y, Wang K, Zhou F, Zhang Y, Xia X, He Y, Chen Y, Ni X, He J, Yu R, et al: Conditions of patients with chronic disorders of consciousness and caregiver's attitude and pressure in three cities in China. J Clin Neurosurg. 14:102–107. 2017.

52 

Giacino J, Fins JJ, Machado A and Schiff ND: Central thalamic deep brain stimulation to promote recovery from posttraumatic minimally conscious state: Challenges and opportunities. Neuromodulation. 15:339–349. 2012. View Article : Google Scholar : PubMed/NCBI

53 

Magrassi L, Maggioni G, Pistarini C, Di Perri C, Bastianello S, Zippo AG, Iotti GA, Biella GE and Imberti R: Results of a prospective study (CATS) on the effects of thalamic stimulation in minimally conscious and vegetative state patients. J Neurosurg. 125:972–981. 2016. View Article : Google Scholar : PubMed/NCBI

54 

Angelakis E, Liouta E, Andreadis N, Korfias S, Ktonas P, Stranjalis G and Sakas DE: Transcranial direct current stimulation effects in disorders of consciousness. Arch Phys Med Rehabil. 95:283–289. 2014. View Article : Google Scholar : PubMed/NCBI

55 

Oliveira L and Fregni F: Pharmacological and electrical stimulation in chronic disorders of consciousness: New insights and future directions. Brain Inj. 25:315–327. 2011. View Article : Google Scholar : PubMed/NCBI

56 

Panksepp J, Fuchs T, Garcia VA and Lesiak A: Does any aspect of mind survive brain damage that typically leads to a persistent vegetative state? Ethical considerations. Philos Ethics Humanit Med. 2:322007. View Article : Google Scholar : PubMed/NCBI

57 

Tresch DD, Sims FH, Duthie EH Jr and Goldstein MD: Patients in persistent vegetative state attitudes and reactions of family members. J Am Geriatr Soc. 39:17–21. 1991. View Article : Google Scholar : PubMed/NCBI

58 

Tzidkiahu T, Sazbon L and Solzi P: Characteristic reactions of relatives of post-coma unawareness patients in the process of adjusting to loss. Brain Inj. 8:159–165. 1994. View Article : Google Scholar : PubMed/NCBI

59 

Stern JM, Sazbon L, Becker E and Costeff H: Severe behavioural disturbance in families of patients with prolonged coma. Brain Inj. 2:259–262. 1988. View Article : Google Scholar : PubMed/NCBI

60 

Chiambretto P, Ferrario S Rossi and Zotti AM: Patients in a persistent vegetative state: Caregiver attitudes and reactions. Acta Neurol Scand. 104:364–368. 2001. View Article : Google Scholar : PubMed/NCBI

61 

Jox RJ, Bernat JL, Laureys S and Racine E: Disorders of consciousness: Responding to requests for novel diagnostic and therapeutic interventions. Lancet Neurol. 11:732–738. 2012. View Article : Google Scholar : PubMed/NCBI

62 

Bruno MA, Bernheim JL, Ledoux D, Pellas F, Demertzi A and Laureys S: A survey on self-assessed well-being in a cohort of chronic locked-in syndrome patients: Happy majority, miserable minority. BMJ Open. 1:e0000392011. View Article : Google Scholar : PubMed/NCBI

63 

Boly M, Faymonville ME, Schnakers C, Peigneux P, Lambermont B, Phillips C, Lancellotti P, Luxen A, Lamy M, Moonen G, et al: Perception of pain in the minimally conscious state with PET activation: An observational study. Lancet Neurol. 7:1013–1020. 2008. View Article : Google Scholar : PubMed/NCBI

64 

Coleman MR, Bekinschtein T, Monti MM, Owen AM and Pickard JD: A multimodal approach to the assessment of patients with disorders of consciousness. Prog Brain Res. 177:231–248. 2009. View Article : Google Scholar : PubMed/NCBI

65 

Leonardi M, Giovannetti AM, Pagani M, Raggi A and Sattin D: National Consortium Functioning And Disability In Vegetative And In Minimal Conscious State Patients: Burden and needs of 487 caregivers of patients in vegetative state and in minimally conscious state: Results from a national study. Brain Inj. 26:1201–1210. 2012. View Article : Google Scholar : PubMed/NCBI

66 

Pan J, Xie Q, He Y, Wang F, Di H, Laureys S, Yu R and Li Y: Detecting awareness in patients with disorders of consciousness using a hybrid brain-computer interface. J Neural Eng. 11:0560072014. View Article : Google Scholar : PubMed/NCBI

67 

Cui Y, Zheng L, Wang X, Zhang W, Yuan D and Wei Y: Marchiafava-Bignami disease with rare etiology: A case report. Exp Ther Med. 9:1515–1517. 2015.PubMed/NCBI

Related Articles

Journal Cover

August-2017
Volume 14 Issue 2

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Xie Q, Ni X, Yu R, Li Y and Huang R: Chronic disorders of consciousness (Review). Exp Ther Med 14: 1277-1283, 2017
APA
Xie, Q., Ni, X., Yu, R., Li, Y., & Huang, R. (2017). Chronic disorders of consciousness (Review). Experimental and Therapeutic Medicine, 14, 1277-1283. https://doi.org/10.3892/etm.2017.4639
MLA
Xie, Q., Ni, X., Yu, R., Li, Y., Huang, R."Chronic disorders of consciousness (Review)". Experimental and Therapeutic Medicine 14.2 (2017): 1277-1283.
Chicago
Xie, Q., Ni, X., Yu, R., Li, Y., Huang, R."Chronic disorders of consciousness (Review)". Experimental and Therapeutic Medicine 14, no. 2 (2017): 1277-1283. https://doi.org/10.3892/etm.2017.4639