Skip to main content
Erschienen in: BMC Neurology 1/2020

Open Access 01.12.2020 | Research article

Neurobehavioral recovery in patients who emerged from prolonged disorder of consciousness: a retrospective study

verfasst von: Hoo Young Lee, Jung Hyun Park, Ae Ryoung Kim, Misun Park, Tae-Woo Kim

Erschienen in: BMC Neurology | Ausgabe 1/2020

Abstract

Background

We investigated the clinical course of patients with prolonged disorders of consciousness (PDoC), predictors of emergence from PDoC (EDoC), and the temporal dynamics of six neurobehavior domains based on the JFK Coma Recovery Scale-Revised (CRS-R) during the recovery.

Methods

A total of 50 traumatic and non-traumatic patients with PDoC were enrolled between October 2014 and February 2017. A retrospective analysis of the clinical findings and neurobehavioral signs was conducted using standardized methodology such as CRS-R. The findings were used to investigate the incidence and predictors of EDoC and determine the cumulative pattern of neurobehavioral recovery at 6 months, 1 year, and 2 years post-injury.

Results

The results showed that 46% of the subjects emerged from PDoC after 200 median days (64–1197 days) of injury onset. The significant predictors of EDoC included minimally conscious state (MCS) (vs. vegetative state), higher auditory, communication, arousal, total CRS-R scores, shorter lag time post-injury, and the absence of intra-axial lesions. In terms of cumulative recovery of motor and communication signs in patients who emerged from PDoC, 39 and 32% showed EDoC at 6 months post-injury, and 88 and 93% exhibited EDoC at 2 years post-injury, respectively.

Conclusions

Nearly half of the patients with PDoC recovered consciousness during inpatient rehabilitation. MCS, shorter lag time, the absence of intra-axial lesions, higher auditory, communication, arousal, and total CRS-R scores were important predictors for EDoC. Motor scores in the early stage of recovery and communication scores after prolonged intervals contributed to the higher levels of cumulative EDoC.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12883-020-01758-5.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
PDoC
Prolonged disorders of consciousness
EDoC
Emergence from prolonged disorders of consciousness
CRS-R
JFK Coma Recovery Scale-Revised
MCS
Minimally conscious state
DoC
Disorders of consciousness
VS/UWS
Vegetative state/unresponsive wakefulness syndrome
ABI
Acquired brain injury
CDW
Clinical Data Warehouse
TBI
Traumatic brain injury
IQR
Interquartile range
HR
Hazard ratio
NA
Not applicable
fMRI
Functional magnetic resonance imaging
ERP
Event-related potentials

Background

Disorders of consciousness (DoC), including vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS), indicate a continuum of disruption in the arousal and awareness systems of the brain caused by severe acquired brain injury (ABI) [14]. VS/UWS is characterized by a lack of response to the environment, but spontaneous eye-opening along with evidence of sleep-wake cycles. In contrast, patients in MCS may demonstrate inconsistent but reproducible signs of awareness. Patients with prolonged DoC (PDoC) remain in VS/UWS or MCS for more than 4 weeks [5]. The US Aspen Workgroup proposed that emergence from DoC is characterized by reliable and consistent displays of functional communication with or without the functional use of objects [14].
The number of studies regarding the natural course of DoC after an ABI has grown over more than the last decade. Specifically, those with traumatic etiologies and diagnosis of MCS (as opposed to VS/UWS) at the time of rehabilitation admission have shown better prognoses, with regard to both the recovery of consciousness and the recovery of functional independence [69].
Even though studies have begun to demonstrate the recovery potential in certain subsets of patients with DoC, the outcomes and conclusions are comprehensibly heterogeneous across studies with rates of recovery of consciousness that range from 14 to 95% [7]. Moreover, the nature, features, and prediction of the recovery process have not been fully elucidated.
These factors emphasize the need to investigate the clinical course and neurobehavioral recovery in patients who have emerged from DoC. Enhanced knowledge regarding the long-term outcome of individuals with PDoC may help clarify the range of outcomes expected after severe ABI and guide treatment decisions that reflect a more accurate assessment of patient prognosis.
It is very important to recognize changes and predict recovery from VS/UWS and MCS to emergence from PDoC in severely brain-injured patients who may be expected to survive their initial brain insults and transition through various states of impaired consciousness [10, 11]. It is especially important to understand the nature and course of neurobehavioral recovery based on the overall and hierarchical perspectives.
The aim of this study was to investigate the course and clinical characteristics of patients emerging from PDoC during neurorehabilitation and present a predictive model for the recovery of consciousness. In terms of tracking serial changes in the JFK Coma Recovery Scale-Revised (CRS-R), this study was the first of its kind to investigate the temporal dynamics of each neurobehavioral sign in CRS-R and their effects on the emergence from PDoC.

Methods

The study was a retrospective, observational study of patients with PDoC who were admitted to a comprehensive neurorehabilitation hospital in the Republic of Korea over a 3-year period from October 1, 2014, to February 28, 2017. The inpatient rehabilitation of patients with PDoC in Korea entails intense rehabilitative treatment for at least 3 hours each day during the first 2 years after onset, and about an hour and a half thereafter.
We retrospectively collected data from the Clinical Data Warehouse (CDW) in the hospital, including a database of electronic medical records obtained from both inpatients and outpatients for real-time clinical analysis of the raw data with the approval of the Institutional Review Board of the National Traffic Injury Rehabilitation Hospital (No. NTRH-18005). The CDW contains almost all the medical records, including every field note of the medical staff (admission and discharge notes, progress reports, and nursing data), patient information data, and records (insurance, diagnostic codes, age, gender, and vital signs), test results (laboratory tests, functional assessments, and imaging studies) and treatment modalities (medications, therapies, and medical procedures). The IRB, in accordance with the Declaration of Helsinki, approved this study and granted waiver of consent because the data had been de-identified before they were used for the analysis of this study.
The inclusion criteria were patients of all ages with acquired traumatic or non-traumatic brain injury who were diagnosed with VS/UWS or MCS upon admission and based on serial evaluation data acquired during hospitalization. We confirmed the clinical diagnosis of VS/UWS, MCS, and EDoC based on CRS-R scores. Patients diagnosed with coma upon admission, exhibiting neurological or medical instability, and those without discharge evaluation were excluded. Patients with metabolic problems, which may provoke decreases in the level of consciousness, were also excluded (Fig. 1).
Even with various milestones of impaired consciousness, the patients were dichotomized into two groups depending on the emergence from PDoC during rehabilitation or persistent VS/UWS or MCS upon discharge.
During hospitalization, all patients underwent standardized and serial clinical evaluations for behavioral responsiveness. All patients were assessed with CRS-R upon admission and at a predetermined time, by a well-trained expert team composed of rehabilitation physicians and physical and occupational therapists who had more than 1 year of experience in evaluations. The evaluation of CRS-R is based upon specific behavioral responses to sensory stimuli on 30 hierarchically arranged items administered in a standardized format. The lowest item on each subscale represents reflexive activity, whereas the highest items represent cognitive behaviors [12].
To determine the most consistent states of consciousness and rehabilitation outcomes, none of the centrally acting pharmacologic agents administered daily, such as antispasmodics, anticonvulsants, and neurostimulatory agents were withdrawn.
Along with pharmacological interventions, all patients received physical therapy and occupational therapy in a neurorehabilitation program for 3 h a day, 5 days a week. Whole-body vibration, neuromuscular electric stimulation, Bobath, kinesthetic stimulation, joint movement and range of motion exercise, mobility management, and tilt-table standing were provided by the physical therapists. Multisensory stimulation, sensory regulation or basal stimulation, familiar auditory sensory training and facio-oral stimulation techniques were provided by the occupational therapists. In all cases, the data were entered prospectively into the CDW because they were standardized test results. All the evaluators were blinded to the data used for advanced retrospective analysis.
After dividing the patients into two groups, the baseline characteristics, admission CRS-R scores, and 12 predictor variables associated with the incidence of consciousness recovery were investigated. The independent variables were as follows: 1) sex, 2) age at injury onset, 3) level of consciousness at admission (VS/UWS or MCS), 4) cause of the ABI (traumatic brain injury (TBI) or non-TBI), 5) the injury type (extra-axial or intra-axial lesion), 6) the lag time from the injury, 6) the CRS-R score at admission, 7) hydrocephalus, 8) ventriculoperitoneal shunt, 9) cranioplasty, 10) treatment with anticonvulsants (continued or discontinued), 11) seizure events, and 12) the level of education (< 12 years or ≥ 12 years). Further, we compared the degree of advancement in each sign of CRS-R during inpatient rehabilitation. Finally, we analyzed the temporal dynamics of auditory, visual, motor, oromotor, communication, and arousal scores and compared their effects on neurobehavioral recovery.
The baseline differences between the two subgroups were analyzed by the Wilcoxon rank-sum test for continuous and ordinal variables, and the chi-squared test or Fisher’s exact test for categorical variables. The predictors of EDoC were analyzed by the univariate Cox proportional hazards model. The adjusted multivariate Cox proportional hazards model was used to investigate the optimal prediction parameters for EDoC. Maximally selected rank statistics were used to estimate the optimal cutoff value.
Kaplan–Meier plots were used to identify the median days at which each subscale of the CRS-R showed improvement of 1 point or more, and motor and communication scores reflecting EDoC. The plots were then converted to cumulative probabilities of attaining at least 10% progress in each sign and emergence in the motor and communication subscale at 6 months, 1 year, and 2 years post-injury.
Prognostic correlation between the CRS-R subscale scores and EDoC was analyzed using the marginal structural Cox model, after adjustment for time-varying confounders, such as clustered data on CRS-R at various time points from injury, during the longitudinal observation period.
Statistical analysis was performed using R software (version R.3.3.2; the R Foundation) and SAS version 9.4.

Results

Patient clinical demographics

Among the total of 1236 inpatients monitored during the 3-year observation period, 40.9% (n = 506) had acquired brain injuries as their main diagnosis. Of those patients, 13.2% (n = 67) were diagnosed with PDoC and 9.9% (n = 50) referred for further analysis (Fig. 1) (Supplementary file 1).
The patients progressed through the stages of recovery at varying rates. Of the 50 patients, 25 were admitted with VS/UWS. Among the 12 VS/UWS patients who showed improvement in the level of consciousness, eight recovered to the MCS level and four demonstrated EDoC. Of the 25 patients who were admitted in MCSs, 19 emerged from an MCS. Overall, 46% emerged from PDoC during inpatient rehabilitation. During the observational period, no patients died and no patient was lost to follow-up. The stimulant medications prescribed to the patients are summarized in Table 1.
Table 1
Summary of neuroplasticity stimulant drugs given to the patients with PDoC
Prescribed Drugs
EDoC (n = 23)
PDoC (n = 27)
Noradrenergic
9
13
 atomoxetine
  
Dopaminergic
18
14
 levodopa/carbidopa
  
 methylphenidate
  
Cholinergic
26
17
 choline alfoscerate
  
 donepezil
  
 rivastigmine
  
Serotonergic
9
3
 escitalopram
  
 paroxetine
  
 sertraline
  
Glutamatergic
3
2
 memantine
  
Others
9
6
 nicergoline
  
 oxiracetam
  
 zolpidem
  
EDoC emergence from disorder of consciousness, PDoC prolonged disorder of consciousness
The median (IQR) lag time from injury was 204.5 (97.25, 374.5) and the duration of inpatient rehabilitation was 92 (62.5, 121) days. In the recovery group, the emergence from PDoC occurred over a median period of 200 (129.5, 329, range 64–1197) days. Stratification of the recovery group based on diagnostic subtype (VS/UWS vs. MCS) indicated that patients with VS/UWS and MCS manifested EDoC in 164 (124, 236.25, range 112–345) and 209 (131.5, 346, range 64–1143) median days, respectively. Sub-group analysis of the participants by etiology (traumatic vs. non-traumatic) revealed that the patients with traumatic injury regained consciousness over a period of 158 (124.25, 292.5, range 85–575) median days, and a median of 217 (154, 345, range 64–1143) days for non-traumatic injuries.
To investigate the prognostic outcomes in PDoC, the patients were retrospectively dichotomized into patients who emerged from PDoC and those who remained in PDoC states. Based on descriptive analysis, MCS (76% vs. 24%, p <  0.001), greater total CRS-R scores (12.6 ± 3.8 vs.6.1 ± 3.8, p <  0.001), extra-axial hemorrhage compared with intra-axial lesions (87.5% vs. 12.5%, p = 0.014), and shorter lag time from injury (219.1 ± 232.3 days vs. 321.5 ± 266.2 days, p = 0.048) were associated with emergence from PDoC (Table 2). 
Table 2
Predictors of emergence from disorder of consciousness in univariate analysis
Variable
EDoC (n = 23)
PDoC (n = 27)
p-value
HR (95% CI)
p- value
Sex
 Male
16 (50)
16 (50)
0.645
reference
 
 Female
7 (38.9)
11 (61.1)
 
0.44 (0.17, 1.15)
0.093
Age
 Median (IQR)
46 (34, 62.5)
46 (20, 60)
0.326
1.02 (0.99, 1.04)
0.115
Level of consciousness
 VS/UWS
4 (16)
21 (84)
< 0.001
reference
 
 MCS
19 (76)
6 (24)
 
4.49 (1.52, 13.27)
0.007
Total CRS-R score
 Median (IQR)
13 (10,16)
5 (4, 7.5)
< 0.001
1.16 (1.06, 1.28)
0.002
  ≤ 6*
1 (5.6)
17 (94.4)
 
reference
 
  > 6
22 (68.8)
10 (31.2)
 
10.02 (1.34, 74.61)
0.028
Etiology
 TBI
14 (48.3)
15 (51.7)
0.927
reference
 
 Non-TBI
9 (42.9)
12 (57.1)
 
0.8 (0.3, 1.9)
0.61
Injury Type (n = 46)
 Extra-axial hemorrhage
7 (87.5)
1 (12.5)
0.014
reference
 
 Intra-axial lesion
13 (34.2)
25 (65.8)
 
0.09 (0.03, 0.24)
< 0.001
Lag Time (days)
 Median (IQR)
133 (86, 212.5)
222 (126, 443.5)
0.048
0.99 (0.98, 0.99)
< 0.001
  ≤ 528*
21 (48.8)
22 (51.2)
 
reference
 
  > 528
2 (28.6)
5 (71.4)
 
0.10 (0.01, 0.78)
0.028
Hydrocephalus
 Present
11 (40.7)
16 (59.3)
0.6
reference
 
 Absent
12 (52.2)
11 (47.8)
 
1.77 (0.78, 4.06)
0.174
VP shunt
 Present
8 (50)
8 (50)
0.932
reference
 
 Absent
15 (44.1)
19 (55.9)
 
1.28 (0.54, 3.04)
0.573
Cranioplasty
 Present
10 (43.5)
13 (56.5)
0.964
reference
 
 Absent
13 (48.1)
14 (51.9)
 
1.69 (0.73, 3.91)
0.218
Anticonvulsants
 Continued
15 (45.5)
18 (54.5)
> 0.999
reference
 
 Discontinued/not taking
8 (47.1)
9 (52.9)
 
1.19 (0.5, 2.86)
0.694
Education (n = 19)
  < 12 yrs
3 (25)
9 (75)
0.156
reference
 
  ≥ 12 yrs
20 (54.1)
17 (45.9)
 
1.95 (0.58, 6.6)
0.282
Values are presented as median (IQR) or number (%)
CRS-R JFK Coma Recovery Scale-Revised, VS/UWS vegetative state/unresponsive wakefulness syndrome, MCS minimally conscious state, EDoC emergence from disorder of consciousness, PDoC prolonged disorder of consciousness, TBI traumatic brain injury, HR hazard ratio
*The optimal cutoff values of each variable were determined by maximally selected log-rank statistics
P-value for the difference was determined by chi-squared, Fisher’s exact, the Wilcoxon rank-sum tests
Hazard ratio and p-value were calculated by univariate Cox proportional hazards regression
In terms of CRS-R scores, the admission scores on the auditory (2.3 ± 0.9 vs. 1.1 ± 1.0, p <  0.001), visual (2.7 ± 1.3 vs. 1.0 ± 1.3, p <  0.001), motor (3.4 ± 1.4 vs. 1.5 ± 1.1, p < 0.001), oromotor (1.3 ± 0.7 vs. 0.7 ± 0.7, p = 0.002), communication (0.7 ± 0.5 vs. 0.1 ± 0.3, p < 0.001), and arousal (2.1 ± 0.7 vs. 1.7 ± 0.7, p = 0.046) subscales were significantly higher in patients who emerged from PDoC compared with those who remained in PDoC states. Further, the degree of advancement in each CRS-R subscale during neurorehabilitation was significantly greater in the patients who emerged from PDoC compared with those who remained in PDoC states (Table 3) (Supplementary file 2).
Table 3
Descriptive data for progress in CRS-R scores during neurorehabilitation
Outcome Measures
Emergence from PDoC
p-value*
Remain as PDoC
p-value*
p-value
p-value
Admission
Discharge
Admission
Discharge
Auditory
2 (2, 3)
4 (3.5, 4)
< 0.001
1 (1, 1)
1 (1, 2)
0.042
< 0.001
< 0.001
Visual
3 (2, 4)
4 (4, 5)
< 0.001
1 (0, 1)
1 (1, 3)
0.011
< 0.001
0.004
Motor
4 (2, 5)
6 (5, 6)
< 0.001
2 (1, 2)
2 (1, 3)
0.005
< 0.001
0.001
Oromotor
1 (1, 2)
2 (2, 3)
0.001
1 (0, 1)
1 (1, 1)
0.001
0.002
0.041
Communication
1 (0, 1)
2 (2, 2)
< 0.001
0 (0, 0)
0 (0, 0)
0.149
< 0.001
< 0.001
Arousal
2 (2, 2.5)
3 (3, 3)
< 0.001
2 (1, 2)
2 (2, 2)
0.105
0.046
0.001
Values are presented as median (IQR)
CRS-R JFK Coma Recovery Scale-Revised, PDoC prolonged disorder of consciousness
* Comparison between CRS-R scores at admission and discharge in each group
Comparison between admission CRS-R scores in the dichotomized groups
Comparison between the degrees of advancement in the CRS-R scores in the dichotomized groups

Optimal outcome prediction: variables and models

Cox regression analysis was performed to investigate the significant predictors of emergence from PDoC. MCS and higher CRS-R scores at admission were significantly correlated with positive outcomes, whereas intra-axial brain lesions and prolonged lag time were significant predictors of negative outcomes (Table 1).
According to the multivariate Cox regression analysis and Akaike information criterion-based optimization, lag time and intra-axial lesions were significantly negatively correlated with emergence from PDoC.
In terms of the optimal cutoff value, lag days from the injury onset to neurorehabilitation within 528 days and total CRS-R scores greater than 6 were significantly associated with emergence from PDoC.
Based on the neurobehavioral level upon admission, all the subscale scores in CRS-R significantly affected the emergence from PDoC. The arousal, communication, and auditory subscales were strongly correlated with emergence from MCS, followed by oromotor, visual, and motor subscales. The total CRS-R scores had the least impact (Table 4).
Table 4
CRS-R variables as predictors of emergence from disorder of consciousness
Variable
EDoC (n = 23)
PDoC (n = 27)
HR (95% CI)
p-value
Auditory
 Median (IQR)
2 (2, 3)
1 (1, 1)
9.5 (5.59, 16.14)
< 0.001
Visual
 Median (IQR)
3 (2, 4)
1 (0, 1)
3.78 (2.92, 4.90)
< 0.001
Motor
 Median (IQR)
4 (2, 5)
2 (1, 2)
3.29 (2.23, 4.85)
< 0.001
Oromotor
 Median (IQR)
1 (1, 2)
1 (0, 1)
4 (2.35, 6.81)
< 0.001
Communication
 Median (IQR)
1 (0, 1)
0 (0, 0)
11.01 (6.35, 9.09)
< 0.001
Arousal
 Median (IQR)
2 (2, 2.5)
2 (1, 2)
22.4 (6.34, 79.12)
< 0.001
Total score
 Median (IQR)
13 (10, 16)
5 (4, 8)
1.59 (1.41, 1.8)
< 0.001
Values are presented as median (SD) or number (%)
CRS-R JFK Coma Recovery Scale-Revised, EDoC emergence from prolonged disorder of consciousness, PDoC prolonged disorder of consciousness, HR hazard ratio

Temporal dynamics of neurobehavioral signs during emergence from PDoC

The median number of days required to advance at least one point in each CRS-R subscale was determined from Kaplan-Meier curves for the groups that emerged from PDoC. Among various recovery patterns, motor signs showed the most rapid recovery (191 median days), followed by auditory, arousal, communication, and visual scores in order. Oromotor scores showed the maximum improvement delay (284 median days) (Table 5).
Table 5
Median achievement time and cumulative probability to reach at least 1-point advancement
Outcome Measures
Emergence from PDoC (n = 23)
PDoC (n = 27)
Event
Median achievement time (95% CI, days)
Cumulative probability
Event
Median achievement time (95% CI, days)
Cumulative probability
180 days
365 days
730 days
180 days
365 days
730 days
Auditory
20
206 (127, 270)
0.37
0.76
0.95
7
NA (534, NA)
0.08
0.24
0.48
Visual
16
269 (127, 400)
0.42
0.61
0.92
10
614 (252, 614)
0.15
0.39
0.51
Motor
20
191 (123, 270)
0.43
0.76
0.93
12
534 (289, 614)
0.15
0.44
0.61
Oromotor
17
284 (154, 593)
0.36
0.61
0.76
11
614 (274, 1143)
0.08
0.36
0.56
Communication
14
239 (117, 406)
0.37
0.68
0.92
4
NA (534, NA)
0.04
0.14
0.26
Arousal
18
231 (127, 437)
0.38
0.65
0.90
5
NA (534, NA)
0.04
0.19
0.30
PDoC prolonged disorder of consciousness, NA not applicable
Meanwhile, the cumulative probabilities of at least one point of progress across the full range of each subscale showed a diverse pattern depending on the stage of recovery. At 180 days post-injury, the greatest cumulative probability of advancing one or more points was observed in the motor (43%), visual (42%), arousal (38%), auditory and communication (37%, both), and oromotor (36%) scores. At 2 years post-injury, the auditory score showed the highest cumulative probability of 95%, followed by motor (93%), visual and communication (92% both), and arousal (90%) scores, with the least probability in oromotor scores (76%) (Table 5, Fig. 2).
We further investigated the temporal dynamics and cumulative probabilities of motor and communication scores associated with the following abilities: (1) functional use of objects, that is behavioral evidence of the ability to discriminate between at least two different objects and, (2) functional interactive communication, which may occur through verbalization, writing, ‘yes’ or ‘no’ signals, or the use of augmentative communication devices, which specifically correspond to EDoC (Fig. 3). Among 23 patients who manifested EDoC, 17 demonstrated EDoC via the functional use of objects at 209 (range 154–400) median days, whereas 18 showed EDoC via functional communication at 284 (range 150–390) median days. With regard to cumulative recovery, the functional use of objects was greater than the functional interaction at 180 days post-injury (32% vs. 39%). Eventually, the cumulative EDoC in the communication subscale increased and exceeded the motor subscale at 284 days post-injury. At 2 years post-injury, 93% of the recovery group showed functional interaction while 88% demonstrated the functional use of objects.

Discussion

In this study, a retrospective observational analysis revealed a significant recovery of consciousness in patients with PDoC during inpatient rehabilitation, with 46% of the enrolled subjects emerging from PDoC. MCS, shorter lag time, the absence of intra-axial lesions, and higher auditory, communication, arousal, and total CRS-R scores were important predictors of EDoC. The model incorporating shorter lag time post-injury and the absence of intra-axial lesions best predicted the EDoC. The communication and auditory scores suggested a delayed but stronger correlation with EDoC compared with motor scores.
The strength of the study was that a wide range of clinical variables, including the whole subscales of CRS-R, were tracked longitudinally. In contrast to previous studies, we elucidated the course, predictive power, and effects of an extensive spectrum of neurobehavioral signs on the emergence from DOC, thus providing new insights into an optimal inpatient rehabilitation program that would best evaluate and maximize the potential for the recovery of consciousness. The merits of the methodology applied in our study were that the analysis of the full CRS-R performance profile, which includes all six subscale scores, enabled the accurate detection of conscious awareness [13]. Furthermore, our findings are supported by practice guidelines and updated recommendations for PDoC developed by the American Academy of Neurology, the American Congress of Rehabilitation Medicine, and the National Institute on Disability, Independent Living, and Rehabilitation Research. The findings suggest that clinicians should refer patients with PDoC to multidisciplinary rehabilitation teams with specialized training for optimal diagnostic and prognostic evaluations for further management, including effective medical monitoring and rehabilitative care. Prognostic counseling by clinicians should acknowledge that favorable outcomes and prognoses in patients with MCS diagnosed within 5 months of injury and traumatic etiology are variable [14].
Patients with non-traumatic injury exhibit a shorter window of recovery and greater disability than patients with TBI, and a majority of patients with traumatic injury regain consciousness within 12 months, and those with non-traumatic etiology by 3 months [1, 5, 8]. Nevertheless, our results showed that the recovery of patients with non-traumatic etiology may be prolonged. EDoC occurred in 217 (154, 345, range 64–1143) median days after non-traumatic injury and in 158 (124.25, 292.5, range 85–575) median days after TBI. These heterogeneous outcomes may be attributed to the Korean rehabilitation system, which allows intensive neurorehabilitation for both VS/UWS and MCS within 2 years of onset. Similar to previous studies, the prognosis was more favorable and heterogeneous for MCS than for VS/UWS and patients in MCS manifested EDoC in 209 (131.5, 346, range 64–1143) median days compared with 164 (124, 236.25, range 112–345) median days in patients with VS/UWS [11, 12]. Overall, the complexity of recovery outcomes in our study was consistent with recent findings reported in longitudinal studies of PDoC [4, 69, 1519].
From a neurobehavioral perspective, our findings demonstrated that arousal and auditory functions were the most prognostic markers of emergence from PDoC. These findings were supported by higher levels of activation in the auditory association cortex using BOLD functional magnetic resonance imaging (fMRI) in response to a familiar voice speaking the patient’s name, indicating factors associated with better prognosis [14, 20]. Furthermore, this study clinically supports previous reports suggesting that the level of auditory processing revealed by fMRI was strongly correlated with the 6-month outcome in each patient [21]. Di et al. reported earlier that the cerebral response to the patient’s own name uttered by a familiar voice, which was measured with fMRI, might be a useful tool to preclinically distinguish minimally conscious states in a few patients behaviorally classified as vegetative [22].
At the level of functional connectivity, the auditory network is considered the most significant brain parameter distinguishing MCS from VS/UWS [23]. The regions of the auditory network comprising bilateral auditory and visual cortices are functionally connected in MCS more than in VS/UWS. The auditory-visual functional connectivity, also referred to as cross-modal interaction, is related to multisensory integration [24]. Multisensory integration has been suggested as a facilitator in the top-down effects of higher-order regions, which may be necessary for conscious perception [25, 26]. Meanwhile, the cross-modal auditory-visual functional connectivity pairs are preserved in thalamocortical connectivity [27]. Resumption of the functional relationship between thalami and associative cortices, such as prefrontal and anterior cingulate cortices, may lead to the restoration of consciousness, consistent with the behavioral expression indicated by auditory or communication subscales in the CRS-R [28].
In a recently published cross-sectional multimodal imaging study analyzing the neural correlates in patients who emerged from MCS, the patients who emerged from MCS were characterized by a correlation between the networks and increased brain metabolism [29]. Further, novel behavioral correlates of auditory mismatch negativity event-related potentials (ERP) were detected in the auditory cortices [30].
It is worth mentioning that Giacino et al. tracked the recovery of six behavioral benchmarks derived from the CRS-R over a 6-week period during inpatient rehabilitation in patients with traumatic PDoC that extended four to 16 weeks post-injury [31]. The study revealed that patients in MCS with preserved language function were most likely to recover other high-level behaviors associated with functional recovery, analogous to the results in the present study. Moreover, members of the Traumatic Brain Injury Model Systems reported that a substantial number of patients with PDoC admitted to acute inpatient rehabilitation recovered independent functioning over as long as 5 years, especially if they followed commands before hospital discharge [6].
With regard to the temporal dynamics and cumulative recovery outcomes of the neurobehavioral profiles, our study revealed the highest probability of advanced motor function in the first 6 months, similar to early motor recovery in stroke patients, which primarily occurs within the first few months [32]. However, after 1 year, the auditory and communication functions also improved and showed the greatest cumulative probability of improvement in the 2 years post-injury. In this context, when the patient fails to show cortically driven behaviors, such as communication, during the first year after the brain injury, it is important to adopt further powerful approaches to identify cortical activity or ‘volition without action’ based on fMRI, as well as electroencephalography and ERP [33, 34].
Our results should be interpreted cautiously because of the small sample size and the limited number of patients investigated. Further, similar to all retrospective analyses, we could not control the assessment intervals of CRS-R that may have influenced the results. The CRS-R evaluation period varied from daily to every 6 weeks, with an average of monthly assessments. Even though the CRS-R has served as a useful tool for the differentiation between MCS and VS/UWS with high reliability, validity, and sensitivity, spontaneous variability of the relevant neuronal or non-neuronal parameters over time in patients with severe disorder of consciousness may lead to spontaneous fluctuations [35, 36]. Hence, individual variability on the CRS-R may suggest limited diagnostic accuracy. Previous studies have reported high rates of misdiagnosis of PDoC, reaching up to 40% [37, 38].
Several studies have reported the beneficial effect of neuroimaging technologies, such as arterial spin labeling, magnetic resonance imaging, proton magnetic resonance spectroscopy, diffusion tensor imaging metrics, and voxel-based lesion-symptom mapping in the assessment of patients with severe brain injuries [3943]. Future studies comprising more homogeneous and larger samples, with prospective and regular assessment of CRS-R, combined with neurotechnology-based assessments may corroborate our study findings.
Notwithstanding these limitations, our study facilitates clinician investigations of individuals with PDoC who can potentially benefit from inpatient rehabilitation and the establishment of optimal rehabilitation programs. Indeed, careful observation and evaluation of auditory perception and the facilitation of auditory responses may be important for successful outcomes.

Conclusions

Significant recovery of consciousness was observed in patients with PDoC during inpatient neurorehabilitation. The course and prediction of the recovery and the effects of neurobehavioral signs on the emergence from PDoC were elucidated in this study. In particular, careful evaluation of auditory perception and facilitation of the auditory response may be clinically important for the successful outcomes of neurorehabilitation in patients with PDoC.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12883-020-01758-5.

Acknowledgments

The Department of Biostatistics of the Catholic Research Coordinating Center, Catholic Medical Center, South Korea provided statistical assistance.
The Methods section in the manuscript includes a statement that the Institutional Review Boards of the National Traffic Injury Rehabilitation Hospital approved our study. This study was a retrospective analysis and received approval from an ethical standards committee to conduct this study. Patient permission was not needed as the data used in this study were de-identified and anonymised upon collection and transferred to the research team.
Patient’s permission was not required as the data were de-identified using existing records. We omitted any identifying details regarding the patients from the manuscript. The article does not include any figure or video of a recognizable patient.

Competing interests

HYL, JHP, ARK, MP, and TWK declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Ashwal S, Cranford R. Medical aspects of the persistent vegetative state--a correction. N Engl J Med. 1995;333(2):130.PubMedCrossRef Ashwal S, Cranford R. Medical aspects of the persistent vegetative state--a correction. N Engl J Med. 1995;333(2):130.PubMedCrossRef
2.
Zurück zum Zitat Giacino JT, Ashwal S, Childs N, Cranford R, Jennett B, Katz DI, et al. The minimally conscious state: definition and diagnostic criteria. Neurology. 2002;58(3):349–53.PubMedCrossRef Giacino JT, Ashwal S, Childs N, Cranford R, Jennett B, Katz DI, et al. The minimally conscious state: definition and diagnostic criteria. Neurology. 2002;58(3):349–53.PubMedCrossRef
3.
Zurück zum Zitat Laureys S, Celesia GG, Cohadon F, Lavrijsen J, León-Carrión J, Sannita WG, et al. Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome. BMC Med. 2010;8(1):68.PubMedPubMedCentralCrossRef Laureys S, Celesia GG, Cohadon F, Lavrijsen J, León-Carrión J, Sannita WG, et al. Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome. BMC Med. 2010;8(1):68.PubMedPubMedCentralCrossRef
4.
Zurück zum Zitat Katz DI, Polyak M, Coughlan D, Nichols M, Roche A. Natural history of recovery from brain injury after prolonged disorders of consciousness: outcome of patients admitted to inpatient rehabilitation with 1–4 year follow-up. Prog Brain Res. 2009;177:73–88.PubMedCrossRef Katz DI, Polyak M, Coughlan D, Nichols M, Roche A. Natural history of recovery from brain injury after prolonged disorders of consciousness: outcome of patients admitted to inpatient rehabilitation with 1–4 year follow-up. Prog Brain Res. 2009;177:73–88.PubMedCrossRef
5.
Zurück zum Zitat Turner-Stokes L. Prolonged disorders of consciousness: new national clinical guidelines from the Royal College of Physicians, London. Clin Med. 2014;14(1):4–5.CrossRef Turner-Stokes L. Prolonged disorders of consciousness: new national clinical guidelines from the Royal College of Physicians, London. Clin Med. 2014;14(1):4–5.CrossRef
6.
Zurück zum Zitat Whyte J, Nakase-Richardson R, Hammond FM, McNamee S, Giacino JT, Kalmar K, et al. Functional outcomes in traumatic disorders of consciousness: 5-year outcomes from the National Institute on Disability and Rehabilitation Research traumatic brain injury model systems. Arch Phys Med Rehabil. 2013;94(10):1855–60.PubMedCrossRef Whyte J, Nakase-Richardson R, Hammond FM, McNamee S, Giacino JT, Kalmar K, et al. Functional outcomes in traumatic disorders of consciousness: 5-year outcomes from the National Institute on Disability and Rehabilitation Research traumatic brain injury model systems. Arch Phys Med Rehabil. 2013;94(10):1855–60.PubMedCrossRef
7.
Zurück zum Zitat Nakase-Richardson R, Whyte J, Giacino JT, Pavawalla S, Barnett SD, Yablon SA, et al. Longitudinal outcome of patients with disordered consciousness in the NIDRR TBI model systems programs. J Neurotrauma. 2012;29(1):59–65.PubMedCrossRef Nakase-Richardson R, Whyte J, Giacino JT, Pavawalla S, Barnett SD, Yablon SA, et al. Longitudinal outcome of patients with disordered consciousness in the NIDRR TBI model systems programs. J Neurotrauma. 2012;29(1):59–65.PubMedCrossRef
8.
Zurück zum Zitat Luaute J, Maucort-Boulch D, Tell L, Quelard F, Sarraf T, Iwaz J, et al. Long-term outcomes of chronic minimally conscious and vegetative states. Neurology. 2010;75(3):246–52.PubMedCrossRef Luaute J, Maucort-Boulch D, Tell L, Quelard F, Sarraf T, Iwaz J, et al. Long-term outcomes of chronic minimally conscious and vegetative states. Neurology. 2010;75(3):246–52.PubMedCrossRef
9.
Zurück zum Zitat Lammi MH, Smith VH, Tate RL, Taylor CM. The minimally conscious state and recovery potential: a follow-up study 2 to 5 years after traumatic brain injury. Arch Phys Med Rehabil. 2005;86(4):746–54.PubMedCrossRef Lammi MH, Smith VH, Tate RL, Taylor CM. The minimally conscious state and recovery potential: a follow-up study 2 to 5 years after traumatic brain injury. Arch Phys Med Rehabil. 2005;86(4):746–54.PubMedCrossRef
10.
Zurück zum Zitat Shimamura N, Munakata A, Naraoka M, Ogasawara Y, Oyama K, Ohkuma H. Epidemiological investigation of patients in persistent vegetative states in Aomori, Japan. No Shinkei Geka. 2015;43(8):705–8.PubMed Shimamura N, Munakata A, Naraoka M, Ogasawara Y, Oyama K, Ohkuma H. Epidemiological investigation of patients in persistent vegetative states in Aomori, Japan. No Shinkei Geka. 2015;43(8):705–8.PubMed
11.
Zurück zum Zitat Laureys S, Boly M. The changing spectrum of coma. Nat Rev Neurol. 2008;4(10):544.CrossRef Laureys S, Boly M. The changing spectrum of coma. Nat Rev Neurol. 2008;4(10):544.CrossRef
12.
Zurück zum Zitat Giacino JT, Kalmar K, Whyte J. The JFK coma recovery scale-revised: measurement characteristics and diagnostic utility. Arch Phys Med Rehabil. 2004;85(12):2020–9.PubMedCrossRef Giacino JT, Kalmar K, Whyte J. The JFK coma recovery scale-revised: measurement characteristics and diagnostic utility. Arch Phys Med Rehabil. 2004;85(12):2020–9.PubMedCrossRef
13.
Zurück zum Zitat Bodien YG, Carlowicz CA, Chatelle C, Giacino JT. Sensitivity and specificity of the coma recovery scale–revised total score in detection of conscious awareness. Arch Phys Med Rehabil. 2016;97(3):490–2.PubMedCrossRef Bodien YG, Carlowicz CA, Chatelle C, Giacino JT. Sensitivity and specificity of the coma recovery scale–revised total score in detection of conscious awareness. Arch Phys Med Rehabil. 2016;97(3):490–2.PubMedCrossRef
14.
Zurück zum Zitat Giacino JT, Katz DI, Schiff ND, Whyte J, Ashman EJ, Ashwal S, et al. Practice guideline update recommendations summary: disorders of consciousness: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology; the American congress of rehabilitation medicine; and the National Institute on Disability, Independent Living, and Rehabilitation Research. Arch Phys Med Rehabil. 2018;99(9):1699–709.PubMedCrossRef Giacino JT, Katz DI, Schiff ND, Whyte J, Ashman EJ, Ashwal S, et al. Practice guideline update recommendations summary: disorders of consciousness: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology; the American congress of rehabilitation medicine; and the National Institute on Disability, Independent Living, and Rehabilitation Research. Arch Phys Med Rehabil. 2018;99(9):1699–709.PubMedCrossRef
15.
Zurück zum Zitat Estraneo A, Moretta P, Loreto V, Lanzillo B, Santoro L, Trojano L. Late recovery after traumatic, anoxic, or hemorrhagic long-lasting vegetative state. Neurology. 2010;75(3):239–45.PubMedCrossRef Estraneo A, Moretta P, Loreto V, Lanzillo B, Santoro L, Trojano L. Late recovery after traumatic, anoxic, or hemorrhagic long-lasting vegetative state. Neurology. 2010;75(3):239–45.PubMedCrossRef
16.
Zurück zum Zitat Giacino J, Whyte J. The vegetative and minimally conscious states: current knowledge and remaining questions. J Head Trauma Rehabil. 2005;20(1):30–50.PubMedCrossRef Giacino J, Whyte J. The vegetative and minimally conscious states: current knowledge and remaining questions. J Head Trauma Rehabil. 2005;20(1):30–50.PubMedCrossRef
17.
Zurück zum Zitat Klein A-M, Howell K, Vogler J, Grill E, Straube A, Bender A. Rehabilitation outcome of unconscious traumatic brain injury patients. J Neurotrauma. 2013;30(17):1476–83.PubMedPubMedCentralCrossRef Klein A-M, Howell K, Vogler J, Grill E, Straube A, Bender A. Rehabilitation outcome of unconscious traumatic brain injury patients. J Neurotrauma. 2013;30(17):1476–83.PubMedPubMedCentralCrossRef
19.
Zurück zum Zitat Whyte J, Katz D, Long D, DiPasquale MC, Polansky M, Kalmar K, et al. Predictors of outcome in prolonged posttraumatic disorders of consciousness and assessment of medication effects: a multicenter study. Arch Phys Med Rehabil. 2005;86(3):453–62.PubMedCrossRef Whyte J, Katz D, Long D, DiPasquale MC, Polansky M, Kalmar K, et al. Predictors of outcome in prolonged posttraumatic disorders of consciousness and assessment of medication effects: a multicenter study. Arch Phys Med Rehabil. 2005;86(3):453–62.PubMedCrossRef
20.
Zurück zum Zitat Giacino JT, Katz DI, Schiff ND, Whyte J, Ashman EJ, Ashwal S, et al. Comprehensive systematic review update summary: disorders of consciousness: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology; the American congress of rehabilitation medicine; and the National Institute on Disability, Independent Living, and Rehabilitation Research. Arch Phys Med Rehabil. 2018;99(9):1710–9.PubMedCrossRef Giacino JT, Katz DI, Schiff ND, Whyte J, Ashman EJ, Ashwal S, et al. Comprehensive systematic review update summary: disorders of consciousness: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology; the American congress of rehabilitation medicine; and the National Institute on Disability, Independent Living, and Rehabilitation Research. Arch Phys Med Rehabil. 2018;99(9):1710–9.PubMedCrossRef
21.
Zurück zum Zitat Coleman MR, Davis MH, Rodd JM, Robson T, Ali A, Owen AM, et al. Towards the routine use of brain imaging to aid the clinical diagnosis of disorders of consciousness. Brain. 2009;132(9):2541–52.PubMedCrossRef Coleman MR, Davis MH, Rodd JM, Robson T, Ali A, Owen AM, et al. Towards the routine use of brain imaging to aid the clinical diagnosis of disorders of consciousness. Brain. 2009;132(9):2541–52.PubMedCrossRef
22.
Zurück zum Zitat Di H, Yu S, Weng X, Laureys S, Yu D, Li J, et al. Cerebral response to patient's own name in the vegetative and minimally conscious states. Neurology. 2007;68(12):895–9.PubMedCrossRef Di H, Yu S, Weng X, Laureys S, Yu D, Li J, et al. Cerebral response to patient's own name in the vegetative and minimally conscious states. Neurology. 2007;68(12):895–9.PubMedCrossRef
23.
Zurück zum Zitat Demertzi A, Antonopoulos G, Heine L, Voss HU, Crone JS, de Los AC, et al. Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients. Brain. 2015;138(9):2619–31.PubMedCrossRef Demertzi A, Antonopoulos G, Heine L, Voss HU, Crone JS, de Los AC, et al. Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients. Brain. 2015;138(9):2619–31.PubMedCrossRef
24.
Zurück zum Zitat Clavagnier S, Falchier A, Kennedy H. Long-distance feedback projections to area V1: implications for multisensory integration, spatial awareness, and visual consciousness. Cogn Affect Behav Neurosci. 2004;4(2):117–26.PubMedCrossRef Clavagnier S, Falchier A, Kennedy H. Long-distance feedback projections to area V1: implications for multisensory integration, spatial awareness, and visual consciousness. Cogn Affect Behav Neurosci. 2004;4(2):117–26.PubMedCrossRef
25.
Zurück zum Zitat Engel AK, Fries P, Singer W. Dynamic predictions: oscillations and synchrony in top–down processing. Nat Rev Neurosci. 2001;2(10):704.PubMedCrossRef Engel AK, Fries P, Singer W. Dynamic predictions: oscillations and synchrony in top–down processing. Nat Rev Neurosci. 2001;2(10):704.PubMedCrossRef
26.
Zurück zum Zitat Boly M, Garrido MI, Gosseries O, Bruno M-A, Boveroux P, Schnakers C, et al. Preserved feedforward but impaired top-down processes in the vegetative state. Science. 2011;332(6031):858–62.PubMedCrossRef Boly M, Garrido MI, Gosseries O, Bruno M-A, Boveroux P, Schnakers C, et al. Preserved feedforward but impaired top-down processes in the vegetative state. Science. 2011;332(6031):858–62.PubMedCrossRef
27.
Zurück zum Zitat Boveroux P, Vanhaudenhuyse A, Bruno M-A, Noirhomme Q, Lauwick S, Luxen A, et al. Breakdown of within-and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness. Anesthesiology. 2010;113(5):1038–53.PubMedCrossRef Boveroux P, Vanhaudenhuyse A, Bruno M-A, Noirhomme Q, Lauwick S, Luxen A, et al. Breakdown of within-and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness. Anesthesiology. 2010;113(5):1038–53.PubMedCrossRef
28.
Zurück zum Zitat Laureys S, Faymonville M-E, Luxen A, Lamy M, Franck G, Maquet P. Restoration of thalamocortical connectivity after recovery from persistent vegetative state. Lancet. 2000;355(9217):1790–1.PubMedCrossRef Laureys S, Faymonville M-E, Luxen A, Lamy M, Franck G, Maquet P. Restoration of thalamocortical connectivity after recovery from persistent vegetative state. Lancet. 2000;355(9217):1790–1.PubMedCrossRef
29.
Zurück zum Zitat Di Perri C, Bahri MA, Amico E, Thibaut A, Heine L, Antonopoulos G, et al. Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study. Lancet Neurol. 2016;15(8):830–42.PubMedCrossRef Di Perri C, Bahri MA, Amico E, Thibaut A, Heine L, Antonopoulos G, et al. Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study. Lancet Neurol. 2016;15(8):830–42.PubMedCrossRef
30.
Zurück zum Zitat El Karoui I, King J-R, Sitt J, Meyniel F, Van Gaal S, Hasboun D, et al. Event-related potential, time-frequency, and functional connectivity facets of local and global auditory novelty processing: an intracranial study in humans. Cereb Cortex. 2014;25(11):4203–12.PubMedPubMedCentralCrossRef El Karoui I, King J-R, Sitt J, Meyniel F, Van Gaal S, Hasboun D, et al. Event-related potential, time-frequency, and functional connectivity facets of local and global auditory novelty processing: an intracranial study in humans. Cereb Cortex. 2014;25(11):4203–12.PubMedPubMedCentralCrossRef
31.
Zurück zum Zitat Giacino J, Sherer M, Bagiella E, Hammond F, Maurer-Karattup P. Behavioral and functional recovery in patients with prolonged traumatic disorders of consciousness. Arch Phys Med Rehabil. 2016;97(10):e3–4.CrossRef Giacino J, Sherer M, Bagiella E, Hammond F, Maurer-Karattup P. Behavioral and functional recovery in patients with prolonged traumatic disorders of consciousness. Arch Phys Med Rehabil. 2016;97(10):e3–4.CrossRef
32.
Zurück zum Zitat Hendricks HT, Van Limbeek J, Geurts AC, Zwarts MJ. Motor recovery after stroke: a systematic review of the literature. Arch Phys Med Rehabil. 2002;83(11):1629–37.PubMedCrossRef Hendricks HT, Van Limbeek J, Geurts AC, Zwarts MJ. Motor recovery after stroke: a systematic review of the literature. Arch Phys Med Rehabil. 2002;83(11):1629–37.PubMedCrossRef
33.
Zurück zum Zitat Bruno M-A, Gosseries O, Ledoux D, Hustinx R, Laureys S. Assessment of consciousness with electrophysiological and neurological imaging techniques. Curr Opin Crit Care. 2011;17(2):146–51.PubMedCrossRef Bruno M-A, Gosseries O, Ledoux D, Hustinx R, Laureys S. Assessment of consciousness with electrophysiological and neurological imaging techniques. Curr Opin Crit Care. 2011;17(2):146–51.PubMedCrossRef
34.
Zurück zum Zitat Laureys S, Schiff ND. Coma and consciousness: paradigms (re) framed by neuroimaging. Neuroimage. 2012;61(2):478–91.PubMedCrossRef Laureys S, Schiff ND. Coma and consciousness: paradigms (re) framed by neuroimaging. Neuroimage. 2012;61(2):478–91.PubMedCrossRef
35.
Zurück zum Zitat Cortese MD, Riganello F, Arcuri F, Pugliese ME, Lucca LF, Dolce G, Sannita WG. Coma recovery scale-r: variability in the disorder of consciousness. BMC Neurol. 2015;15(1):186.PubMedPubMedCentralCrossRef Cortese MD, Riganello F, Arcuri F, Pugliese ME, Lucca LF, Dolce G, Sannita WG. Coma recovery scale-r: variability in the disorder of consciousness. BMC Neurol. 2015;15(1):186.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Han HJ, Kim EJ, Lee HJ, Pyun SB, Joa KL, Jung HY. Validation of Korean version of coma recovery scale-revised (K-CRSR). Ann Rehabil Med. 2018;42(4):536.PubMedPubMedCentralCrossRef Han HJ, Kim EJ, Lee HJ, Pyun SB, Joa KL, Jung HY. Validation of Korean version of coma recovery scale-revised (K-CRSR). Ann Rehabil Med. 2018;42(4):536.PubMedPubMedCentralCrossRef
37.
Zurück zum Zitat Schnakers C, Vanhaudenhuyse A, Giacino J, Ventura M, Boly M, Majerus S, et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment. BMC Neurol. 2009;9(1):35.PubMedPubMedCentralCrossRef Schnakers C, Vanhaudenhuyse A, Giacino J, Ventura M, Boly M, Majerus S, et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment. BMC Neurol. 2009;9(1):35.PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat Majerus S, Gill-Thwaites H, Andrews K, Laureys S. Behavioral evaluation of consciousness in severe brain damage. Prog Brain Res. 2005;150:397–413.PubMedCrossRef Majerus S, Gill-Thwaites H, Andrews K, Laureys S. Behavioral evaluation of consciousness in severe brain damage. Prog Brain Res. 2005;150:397–413.PubMedCrossRef
39.
Zurück zum Zitat Razek AAKA, Talaat M, El-Serougy L, Gaballa G, Abdelsalam M. Clinical applications of arterial spin labeling in brain tumors. J Comput Assist Tomogr. 2019;43(4):525–32.PubMedCrossRef Razek AAKA, Talaat M, El-Serougy L, Gaballa G, Abdelsalam M. Clinical applications of arterial spin labeling in brain tumors. J Comput Assist Tomogr. 2019;43(4):525–32.PubMedCrossRef
40.
Zurück zum Zitat Razek AAKA, Abdalla A, Ezzat A, Megahed A, Barakat T. Minimal hepatic encephalopathy in children with liver cirrhosis: diffusion-weighted MR imaging and proton MR spectroscopy of the brain. Neuroradiology. 2014;56(10):885–91.PubMedCrossRef Razek AAKA, Abdalla A, Ezzat A, Megahed A, Barakat T. Minimal hepatic encephalopathy in children with liver cirrhosis: diffusion-weighted MR imaging and proton MR spectroscopy of the brain. Neuroradiology. 2014;56(10):885–91.PubMedCrossRef
41.
Zurück zum Zitat El-Serougy L, Abdel Razek AAK, Ezzat A, Eldawoody H, El-Morsy A. Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas. Neuroradiol J. 2016;29(5):400–7.PubMedPubMedCentralCrossRef El-Serougy L, Abdel Razek AAK, Ezzat A, Eldawoody H, El-Morsy A. Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas. Neuroradiol J. 2016;29(5):400–7.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Abdelrasoul AA, Elsebaie NA, Gamaleldin OA, Khalifa MH, Razek AAKA. Imaging of brain infarctions: beyond the usual territories. J Comput Assist Tomogr. 2019;43(3):443–51.PubMedCrossRef Abdelrasoul AA, Elsebaie NA, Gamaleldin OA, Khalifa MH, Razek AAKA. Imaging of brain infarctions: beyond the usual territories. J Comput Assist Tomogr. 2019;43(3):443–51.PubMedCrossRef
43.
Zurück zum Zitat Lee KB, Lim SH. Prognosis and recovery of motor function with lesion–symptom mapping in patients with stroke. Brain Neurorehabil. 2016;10(1):e5. Lee KB, Lim SH. Prognosis and recovery of motor function with lesion–symptom mapping in patients with stroke. Brain Neurorehabil. 2016;10(1):e5.
Metadaten
Titel
Neurobehavioral recovery in patients who emerged from prolonged disorder of consciousness: a retrospective study
verfasst von
Hoo Young Lee
Jung Hyun Park
Ae Ryoung Kim
Misun Park
Tae-Woo Kim
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Neurology / Ausgabe 1/2020
Elektronische ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-020-01758-5

Weitere Artikel der Ausgabe 1/2020

BMC Neurology 1/2020 Zur Ausgabe

Neu in den Fachgebieten Neurologie und Psychiatrie

Hörschwäche erhöht Demenzrisiko unabhängig von Beta-Amyloid

29.05.2024 Hörstörungen Nachrichten

Hört jemand im Alter schlecht, nimmt das Hirn- und Hippocampusvolumen besonders schnell ab, was auch mit einem beschleunigten kognitiven Abbau einhergeht. Und diese Prozesse scheinen sich unabhängig von der Amyloidablagerung zu ereignen.

Fehlerkultur in der Medizin – Offenheit zählt!

28.05.2024 Fehlerkultur Podcast

Darüber reden und aus Fehlern lernen, sollte das Motto in der Medizin lauten. Und zwar nicht nur im Sinne der Patientensicherheit. Eine negative Fehlerkultur kann auch die Behandelnden ernsthaft krank machen, warnt Prof. Dr. Reinhard Strametz. Ein Plädoyer und ein Leitfaden für den offenen Umgang mit kritischen Ereignissen in Medizin und Pflege.

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

Hirnblutung unter DOAK und VKA ähnlich bedrohlich

17.05.2024 Direkte orale Antikoagulanzien Nachrichten

Kommt es zu einer nichttraumatischen Hirnblutung, spielt es keine große Rolle, ob die Betroffenen zuvor direkt wirksame orale Antikoagulanzien oder Marcumar bekommen haben: Die Prognose ist ähnlich schlecht.