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Cerebral response to subject’s own name showed high prognostic value in traumatic vegetative state



Previous studies have shown the prognostic value of stimulation elicited blood-oxygen-level-dependent (BOLD) signal in traumatic patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS). However, to the best of our knowledge, no studies have focused on the relevance of etiology and level of consciousness in patients with disorders of consciousness (DOC) when explaining the relationship between BOLD signal and both outcome and signal variability. We herein propose a study in a large sample of traumatic and non-traumatic DOC patients in order to ascertain the relevance of etiology and level of consciousness in the variability and prognostic value of a stimulation-elicited BOLD signal.


66 patients were included, and the response of each subject to his/her own name said by a familiar voice (SON-FV) was recorded using fMRI; 13 patients were scanned twice in the same day, respecting the exact same conditions in both cases. A behavioral follow-up program was carried out at 3, 6, and 12 months after scanning.


Of the 39 VS/UWS patients, 12 (75%) out of 16 patients with higher level activation patterns recovered to minimally conscious state (MCS) or emergence from MCS (EMCS) and 17 (74%) out of 23 patients with lower level activation patterns or no activation had a negative outcome. Taking etiology into account for VS/UWS patients, a higher positive predictive value was assigned to traumatic patients, i.e., up to 92% (12/13) patients with higher level activation pattern achieved good recovery whereas 11 out of 13 (85%) non-traumatic patients with lower level activation or without activation had a negative clinical outcome. The reported data from visual analysis of fMRI activation patterns were corroborated using ROC curve analysis, which supported the correlation between auditory cortex activation volume and VS/UWS patients’ recovery. The average brain activity overlap in primary and secondary auditory cortices in patients scanned twice was 52%.


The activation type and volume in auditory cortex elicited by SON-FV significantly correlated with VS/UWS patients’ prognosis, particularly in patients with traumatic etiology, however, this could not be established in MCS patients. Repeated use of this simple fMRI task might help obtain more reliable prognostic information.

Peer Review reports


The prognostic value of blood-oxygen-level-dependent (BOLD) signals elicited by various sensory stimuli in vegetative state/unresponsive wakefulness syndrome [1,2] (VS/UWS) patients has been shown in several studies [3]. However, the variability of stimulation paradigms among these studies may have limited the deductive power for the prognostic value of the BOLD signals in DOC patients. Furthermore, none of them mentioned the role of etiology.

It is known that the etiology of brain injury affects patients’ recovery. Traumatic brain injuries are associated with better outcomes at one year than non-traumatic injuries [4,5], suggesting that the prognostic value of BOLD signals in this challenging population of patients should be explored for traumatic and non-traumatic patients separately.

Our previous work showed the prognostic value of a BOLD signal elicited by patients’ own name spoken by a familiar voice (SON-FV) in two patients diagnosed as traumatic VS/UWS [6].

As demonstrated in the ‘cocktail party’ phenomenon, a person’s own name is the most powerful, emotionally laden auditory stimuli to gain entry to awareness [7]. It has been reported that the subject’s own name (SON) activated the cerebral cortex more extensively versus non-self-referential emotional stimuli in patients with MCS [8] and the SON spoken by a familiar voice (SON-FV), versus an unfamiliar voice, elicited stronger event-related potential responses [9]. Furthermore, we recently found that the SON showed higher sensitivity to elicit sound localization reflex in DOC patients [10]. Given these findings, we chose to present the SON-FV to maximize our chances of detecting residual brain function in a larger number of DOC patients using functional MRI (fMRI), and verify its prognostic value in clinical daily use. Taking into account DOC patients’ fluctuating level of consciousness [11], we also decided to test the SON-FV brain activation consistency in a sub-population of patients scanned twice.



Overall, 74 DOC patients with severe brain injury were included in this study. After fMRI scanning, 8 were excluded due to head movement parameters (after scanning, patients’ head movement parameters were extracted and excluded from the threshold list as: translation >8 mm or roll angle >2°). Of the remaining 66 patients (52 male, 14 female, age range 2 to 73 years, mean 39 years; etiology: 43 traumatic, 12 anoxic brain injury, 10 cerebrovascular accident, 1 meningitis; time between ictus and fMRI scanning: 1 to 60 months, mean 8.5 months), 39 patients met the diagnostic criteria defining VS/UWS (23 traumatic and 16 non-traumatic), 25 patients met the diagnostic criteria defining MCS (19 traumatic and 6 non-traumatic), and 2 patients were diagnosed as EMCS (1 traumatic and 1 non-traumatic) according to the Coma Recovery Scale-Revised (CRS-R) [12] (see Table 1 for detailed demographic and clinical information). Data on 11 of the 66 patients (VS/UWS: 24, 25, 26, 27, 28, 29, and 30; MCS: 14, 15, 16, and 17) has previously been reported [6].

Table 1 The characteristic data of 66 patients in DOC

All patients were admitted to the rehabilitation units of Hangzhou Wujing hospital and Taizhou municipal hospital. Prior to admission, all patients were verified suitable for MRI scanning by a team of expert neurologists. Patients who had suffered brain injury less than one month before the time of evaluation were excluded from the study. An observation of patients’ baseline head movement was also performed at bedside by caregivers to check the patients were able to stay in the scanner for at least 10 minutes without excessive head movement. Informed written consent was obtained from the physician and family of each patient. Written informed consent for the publication of patient details was also obtained from the legal representative of all patients. The study was approved by the Ethics Committee of Hangzhou Normal University School of Basic Medicine.

Fifteen volunteer college undergraduate students (9 female, age range 18 to 27 years, mean age 24 years) participated in the study as healthy controls. All the volunteers had normal hearing and normal or corrected-to-normal vision. None reported any history of head injury or neurological or psychiatric disorders. Written informed consent was obtained from each participant prior to the experiment according to a protocol approved by the Ethics Committee of Hangzhou Normal University School of Basic Medicine.

Behavioral assessment

All patients recruited to the study underwent behavioral assessment employing the CRS-R before fMRI data acquisition. In order to obtain a significant prognostic value, a follow-up program was conducted at 3, 6, and 12 months after fMRI data acquisition. If the patients were discharged from or transferred to other hospitals during this tracking program, a phone call follow-up was performed. The assessors for determining outcome were blinded for the fMRI results.

Image data acquisition and analysis

Before acquiring neuroimaging data, we digitally recorded and adapted the SON-FV using the voice of a first-degree relative and GoldWave software (GoldWave Inc.). fMRI scanning was performed using block design with six active blocks and seven baseline blocks for each patient. Each active block lasted 12 seconds and included seven SON-FVs (each name lasted 1 sec). Each baseline block consisted of 18 seconds of attenuated machine noise; 13 patients were scanned twice in the same day (MRI scanner and conditions were the same in both cases) to obtain the overlap rate of two separate scans with the same fMRI paradigm. The auditory stimuli were presented through MRI-compatible noise-attenuated headphones (Resonance Technology, Inc., Los Angeles, CA) binaurally. A special designed head-fixation devise (a pumping pillow) and polystyrene foam was used for every patient to reduce spontaneous head movement. Data were acquired using a 1.5 T General Electrics Sigma Horizon MRI system and a 1.5 T Siemens Magnetom Essenza MRI system (15 controls, VS/UWS1-30 and MCS1-17using GE MRI; VS/UWS31-39, MCS17-25, and EMCS1-2 using Siemens MRI). When scanning, first, 22 axial anatomic images were collected using a T1-weighted spin echo sequence (repetition time = 500 msec, echo time = 9 msec, field of view = 240 × 240 mm, slice thickness = 5 mm, skip = 1 mm, matrix = 256 × 256, with the resolution of three dimensions of one voxel: x = 0.9375 mm, y = 0.9375 mm, z = 6 mm). Next, 96 (144) images per slice were acquired using a gradient echo planar imaging (repetition time = 3,000 or 2,000 msec, matrix = 64 × 64, with the resolution of three dimensions of one voxel: x = 3.75 mm, y = 3.75 mm, z = 6 mm). Finally, a fast spoiled gradient recalled sequence (repetition time = 27 msec, echo time = 6 msec, field of view = 240 × 240 mm, matrix = 256 × 256, with the resolution of three dimensions of one voxel: x = 1.3 mm, y = 0.9375 mm, z = 0.9375 mm) was used in a sagittal plane to collect three-dimensional images covering the entire volume of the brain. The imaging procedures and parameters were similar to those of our previously published studies [6].

Analysis of Functional NeuroImages (AFNI) software (version release in later 2009) was used for data analysis [13]. After correcting for two- and three-dimensional head motion, the functional images were smoothed using an isotropic Gaussian kernel (full width at half maximum = 6 mm). We then used multiple linear regression analysis (using the 3Ddeconvolve program in AFNI) to further correct the head movement artifacts (six estimated motion-induced time series used as non-interest regressors). Finally, a first level fixed-effect statistics was performed using general linear model for each patient at whole-brain level to identify SON-FV-induced BOLD signal increases for generating activation maps.

Due to the inconsistency of spontaneous head movements, we selected a statistical threshold of t >2 (P <0.05, corrected). To avoid false-negative results, a minimum cluster size of 10 voxels was used as an extent threshold. For 13 twice-scanned patients, we separately proceeded data analysis, and then chose the scan with better activation (more volumes or higher t value) as the final result for statistical analysis in the next step.

Since it can be difficult to accurately identify these cortical areas in deformed brains, we deemed normalized analysis to be unsuitable for this cohort of patients with severe brain injury. Thus, after fitting all the patients activation maps individually to their respective structural MRI data, the Heschl gyrus (HG) was defined as the primary auditory cortex [14,15] (if two HG were present, the anterior gyrus was termed area 41 and the posterior gyrus area 42), whilst the planum temporale, the planum polare [16], and the posterior and lateral extensions of HG were defined as the auditory cortices termed area 21/22. Based on these definitions, we chose the bilateral auditory associate cortex in the temporal area as region of interest in each patient after the anatomic landmarks in three orthogonal cross-sectional views [17,18] (axial, coronal, and sagittal) of the individual high-resolution three-dimensional brain images were repeatedly and simultaneously checked by an experienced radiologist (all these steps were carried out using AFNI plugins). Whether the activation of each patient extended to a higher order auditory cortex or not was also determined.

In the case of most VS/UWS patients there was either no activation or activation was found in the primary auditory cortex, which is defined as ‘lower level’ activation. The activation in some VS/UWS patients may extend to a higher order associative auditory cortex (e.g., area 21/22), similar to the activation pattern observed in MCS patients or healthy controls; this type was defined as ‘higher level’ activation [3].

Finally, Receiver Operating Characteristic (ROC) curve analysis was chosen to analyze the prognostic value of primary and secondary auditory cortex (bilateral) activation volume in VS/UWS and MCS patients [19]. Fisher’s exact test looked for differences in outcome depending on the type of cerebral activation. Results were considered significant at P <0.05.



In 15 healthy controls, each participant had significant activation not only in primary auditory cortices but also extending to higher order associative auditory cortices (higher level activation, P <0.05, corrected) (Figure 1).

Figure 1

Show activation of auditory cortex caused by own name stimulation in 15 controls (axis view, P <0.05, corrected).

In 39 VS/UWS patients, 7 patients had no activation at all in the auditory cortex (VS/UWS: 1, 15, 16, 29, 30, 35, and 38; 5 traumatic and 2 non-traumatic) and 16 patients had significant activation in the primary auditory cortex (VS/UWS: 4, 7, 8, 9, 12, 14, 20, 21, 24, 25, 26, 31, 33, 34, 37, and 39; 6 traumatic and 10 non-traumatic). A more extensive activation encompassing HG and area 21/22 was observed in 16 patients (VS/UWS: 2, 3, 5, 6, 10, 11, 13, 17, 18, 19, 22, 23, 27, 28, 32, and 36; 13 traumatic and 3 non-traumatic). In 25 MCS patients, 5 had activation in primary auditory cortices (MCS: 6, 12, 18, 21, 22; 2 traumatic and 3 non-traumatic) and the others had activation in primary auditory cortices which extended to higher order associative auditory cortices (MCS1–5: 7–11, 19, 20, 23–25; 16 traumatic and 4 non-traumatic). In 2 EMCS patients, 1 had significant activation in primary auditory cortices extending to higher order associative auditory cortices (EMCS 2, traumatic), the other’s activation was limited to the primary auditory cortex (EMCS 1, non-traumatic) (Figures 2 and 3).

Figure 2

Show activation of auditory cortex caused by own name stimulation in 39 VS/UWS patients (axis view, P <0.05, corrected).

Figure 3

Show activation of auditory cortex caused by own name stimulation in 25 MCS and 2 EMCS patients (axis view, P <0.05, corrected).


Using the 12-month behavioral follow-up data (based on CRS-R score) of the 39 VS/UWS patients for prognostic value statistics, 12 out of 16 (75%) VS/UWS patients (13 traumatic, 3 non-traumatic) with higher level activation (extending to higher order associate auditory cortex) recovered to MCS or EMCS (this kind of recovery was taken as a good outcome), whereas 17 (74%) out of 23 VS/UWS patients (10 traumatic, 13 non-traumatic) with no activation or activation limited to the primary auditory cortex had a poor outcome (remaining in VS/UWS). The sensitivity and specificity of this method for VS/UWS patients was 67% and 81%, respectively (Tables 2 and 3). Outcome differed depending on activation type (P = 0.004). Of the 5 MCS patients with activation in only the primary auditory cortex, 3 recovered to EMCS (3 traumatic) and 2 were still diagnosed as MCS (2 non-traumatic). Of the 20 MCS patients with activation in a higher order associate auditory cortex, 9 recovered to EMCS (8 traumatic and 1 non-traumatic), 10 remained in MCS (7 traumatic and 3 non-traumatic), and 1 patient (traumatic) was unexpectedly diagnosed as VS/UWS; 2 EMCS patients achieved no behavioral recovery.

Table 2 Prognostic value of activation type in VS/UWS patients
Table 3 Prognostic value of activation type in traumatic or non-traumatic VS/UWS patients

The 39 VS/UWS patients were divided into two groups according to etiology; traumatic (n = 23) and non-traumatic (n = 16) patients. Of the 23 traumatic VS/UWS patients, 12 (92%) out of 13 with higher level activation pattern had a good outcome (i.e., recovered to MCS or EMCS, P = 0.019). Of the 16 non-traumatic VS/UWS patients, 11 (85%) out of 13 with no or only primary auditory cortex activation had a bad outcome (Table 3).

Of the 25 MCS patients, 9 out of the 12 patients who had recovered at the following behavioral assessment had activation beyond the primary cortex and, hence, the sensitivity of higher level activation in MCS patients was 75%. Only 2 of the 13 patients with a poor outcome had lower level activation (specificity = 15%).

Considering etiology, in the MCS traumatic group (n = 19), 8 out of 16 (50%) patients with higher level activation achieved good recovery. All (3/3) patients with primary lower level activation had a poor outcome. Of the 6 non-traumatic MCS patients, 1 out of 4 (25%) patients with higher order cortex activation recovered. All 2 (100%) patients with only primary cortex activation had a poor outcome.

Analysis of the BOLD signal prognostic value also considered patient age. With patient age <40, 10 out of the 11 traumatic VS/UWS patients achieved good recovery, independently of higher level activation. Only 6 out of the 12 traumatic VS/UWS patients >40 years old showed good recovery. The only traumatic VS/UWS patient with a higher level activation pattern and a bad outcome was 69 years old.

Using a ROC curve, we correlated activation volume with the prognostic outcome, as indicated by follow-up CRS-R scores. In all 39 VS/UWS patients, the activation volume of bilateral primary and secondary auditory cortices significantly correlated to a positive prognostic outcome when >5.355 cm3 (Sensitivity = 72%, Specificity = 86%, P <0.0039). In 23 traumatic VS/UWS patients, the activation volume of bilateral primary and secondary auditory cortices significantly correlated with the recovery when >3.680 cm3 (Sensitivity = 75%, Specificity = 86%, P <0.0015). No statistically significant findings were obtained for MCS patients, not even when patient etiology was taken into account. Two EMCS patients were not included in the statistical analysis.

Overlap in 13 twice-scanned patients

Of the 13 patients scanned twice on the same day (7 VS/UWS and 6 MCS) under the exact same acquiring conditions, 1 MCS patient had a brain activity overlap of 100% in both scans, 8 (5 VS/UWS, 3 MCS) out of 13 patients had a 50% or 75% overlap in the two separate scans, 2 (1 VS/UWS, 1 MCS) patients had an overlap of 25%, and 2 (1 VS/UWS, 1 MCS) patients had none. The average overlap rate was 52% (Figure 4 and Table 4).

Figure 4

Show activation in auditory cortex of the 13 patients scanned twice on the same day (7 VS/UWS and 6 MCS) under the exact same acquiring conditions. Red, activation of first own name stimulation; blue, activation of second own name stimulation; Green, overlap area between two scans; axis view, P <0.05, corrected).

Table 4 Overlap between twice-scanned own name task


In this study, using fMRI, we detected the cerebral responses of 66 DOC patients when hearing their own name spoken by a familiar voice (SON-FV). We correlated the activation patterns with the clinical outcome assessed with the CRS-R revised scale performed at 3, 6, and 9 months after scanning. It should be noted that ‘lower level’ and ‘higher level’ brain activation patterns refer to what is classically observed in DOC patients (see previous data from [3,6]) and that the current convenience sample of patients includes relatively more traumatic patients, hence biasing the obtained frequency of activation patterns to SON.

We found that BOLD signal in auditory cortex elicited by SON could statistically reliably predict the outcome in VS/UWS, particularly in traumatic patients. In VS/UWS patients, the overall predictive sensitivity and specificity was 67% and 81%. However, when taking into account brain injury etiology, the predictive value resulted higher for traumatic etiology. Specifically, 92% of traumatic VS/UWS patients with higher level activation extending to the higher order associate auditory cortex had a good outcome, whilst non-traumatic VS/UWS patients had a high negative predictive value, meaning that 85% patients with no activation or primary activation in auditory cortex achieved no recovery.

The reported data from the visual analysis of fMRI activation patterns (primary vs. higher order auditory activation) of low versus high were corroborated by ROC curve analysis, which supported the correlation between the activation of bilateral primary and secondary auditory cortex and VS/UWS patients’ recovery when the activation volume was >5.355 cm3 (all 39 VS/UWS patients) or >3.680 cm3 (traumatic VS/UWS patients). Patient age was also considered when assessing the prognostic value of the cerebral response elicited by SON-FV, and we could see that patients <40 years old had a better outcome, regardless of activation type. The average overlap rate was 52% between twice-scanned own name task.

The above findings emphasize the importance of VS/UWS patients’ etiology in the relationship between BOLD signals and outcome [20]. In particular, the two previously reported VS/UWS patients with higher level activation and good recovery were all traumatic [6].

The explanation as to why a higher level BOLD signal is associated with higher prognostic value in traumatic patients than in non-traumatic patients is still unknown and requires further study. One explanation could be the difference between the type of neuron injury sustained by traumatic and non-traumatic patients [21], particularly in the thalamus, which seems to play a key role in sustaining VS/UWS [22]. In fact, with non-traumatic lesions, the neurons have undergone ischemic necrosis and are subsequently no longer able to function. Traumatic lesions, however, are characterized by diffuse axonal injury, which does not involve neuron loss; if axon restoration is delayed after injury, it is conceivable to expect the neurons to work again since the neuron substrate is intact [21]. Given this, it is possible to speculate that the higher level auditory activation in traumatic VS/UWS patients, to a certain degree, may be taken as an initial sign of the recovery pattern related to the initial restoration of the axons, which may be a precursor to voluntary behavior reinstatement.

According to our behavioral assessment results, 4 out of 16 VS/UWS patients with higher level activation did not have a positive clinical outcome. Only 1 of these 4 patients, a 69 year old, had a traumatic etiology. The age of the patient may explain the lack of correlation between higher level activation and clinical outcome in traumatic patients. In fact, it has previously been shown that patients >40 years old have much lower chances of recovery, as confirmed herein. The other 3 patients were non-traumatic. Various complications may have affected the recovery process of these patients and the activation pattern could not reveal anything more about this population. In contrast, 3 VS/UWS patients with primary activation and 2 VS/UWS patients with no activation in the auditory cortex unexpectedly achieved good recovery according to follow-up behavior assessment. The arousal fluctuation or impairment often caused by the brain injury in VS/UWS [23] may partly explain the absence of activation. Furthermore, head movement in some VS/UWS patients, which occurred more frequently than in healthy subjects, may also have contributed to these false negative results to a certain extent. Finally, possible neurovascular coupling alterations or anatomical displacement of the auditory cortex in severely damaged brains might have caused altered or absent activation as measured by fMRI [24].

In this study, we did not find any statistically significant correlation between brain activation elicited by SON-FV or activation volume in auditory cortex and the clinical outcome of patients diagnosed as MCS or EMCS. Among these patients, 5 MCS and 1 EMCS had activation limited to the primary auditory cortex. Although previous studies report that MCS and EMCS patients may exhibit the same activation pattern to different kinds of stimuli similar to healthy controls, inconsistency along with issues related to head movement have shown to partially affect the BOLD signal [25-27].

In our opinion, there may be two main explanations of these results. Firstly, there’s the fluctuating level of consciousness typical of these patients [28]. For example, the patient may be asleep at the moment of scanning, making it, therefore, impossible to detect any brain activity in response to the stimuli. Secondly, the MCS is a very heterogeneous diagnostic category, which has recently been subcategorized into two groups, MCS+ and MCS–. The clear cut differentiation is based on the complexity level of observed behavioral responses and, more importantly, on the presence of command following, which has also been supported by neuroimaging findings [29]. In our study, these patients were not subcategorized. It could be that with better patient categorization, slight clinical improvements that could, to some extent, ameliorate the correlation between brain activation related to SON-FV and clinical outcome could be detected.

It should be emphasized that the employed contrast comparing the SON to noise does not permit strong cognitive interpretations (given that both stimuli differ for multiple semantic, emotional, and other physical parameters), and we cannot rule out the possibility to obtain similar results using other simpler stimuli than the patients’ names. The methodology employed herein was chosen from a clinical perspective and based on previous studies in order to increase the probability to obtain a cerebral response [6].

Finally, to overcome the limitation posed by arousal fluctuation in this challenging population of patients, we decided to test the consistency of the brain activation elicited by SON-FV in a subgroup of 13 patients (VS/UWS = 7, MCS = 6). We found that the mean overlap rate of this fMRI paradigm was nearly 52%, whilst some patients manifested no overlap. These results suggest that, similarly to clinical assessment administered to patients, repetitive SON-FV fMRI acquisition should be carried out in order to obtain more reliable prognostic information [25,30].

Some caveats could be pointed out when assessing the validity of our findings, such as the difficulty in accurately identifying primary and associative auditory cortex in severely damaged and grossly deformed brains and the uncertainties associated with intermodal (MRI-fMRI) image registration. For clinical purposes, an easy performing analysis method is important. ROC analysis could be an appropriate choice, because obtaining the activation volume was easier than accurately identifying activation patterns in the auditory cortex. From our ROC results, the total activation volume in bilateral auditory cortices could act as an index for predicting the recovery of VS/UWS patients.

It is also worth noting that we did not rigorously control the duration between scanning and brain injury. Brain injury severity or distribution was also not taken into consideration. The follow-up program could also have had some limitations, such as when patients were discharged from the hospital or transported long distance to another hospital and follow-up assessment by phone could have been partially affected by the families’ subjectivity.

The new data obtained by our study represents a substantial addition to a growing body of literature documenting the utility of brain imaging in this challenging population of patients [3,31,32]. However, before a consensus statement can be made regarding the use of fMRI for clinical purposes in the field of consciousness disorders, further study taking into account the utility of fMRI multi-scanning and the need to validate standardized paradigms that can be routinely used in clinical assessment is still needed.


This large cohort study provides encouraging evidence suggesting that the simple and easily performed SON-FV fMRI paradigm could be considered a promising prognostic tool for VS/UWS patients in daily clinical use. In addition, we have demonstrated that the prognostic value of this method is higher in patients with traumatic rather than non-traumatic brain injury and that it is good practice to repeat this fMRI task in order to obtain more reliable prognostic information.



Analysis of Functional NeuroImages




Coma Recovery Scale-Revised


Disorder of consciousness


Emerging minimally conscious state


Functional magnetic resonance imaging


Familiar voice


Heschl gyrus


Minimally conscious state


Receiver Operating Characteristic


Subject’s own name


Unresponsive wakefulness syndrome


Vegetative state


  1. 1.

    Laureys S, Celesia GG, Cohadon F, Lavrijsen J, Leon-Carrion J, Sannita WG, et al. Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome. BMC Med. 2010;8:68.

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Jennett B. The vegetative state. J Neurol Neurosurg Psychiatry. 2002;73:355–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Di H, Boly M, Weng X, Ledoux D, Laureys S. Neuroimaging activation studies in the vegetative state: predictors of recovery? Clin Med. 2008;8:502–7.

    Article  Google Scholar 

  4. 4.

    Medical aspects of the persistent vegetative state (1). The Multi-Society Task Force on PVS. N Engl J Med. 1994;330:1499–1508.

  5. 5.

    Medical aspects of the persistent vegetative state (2). The Multi-Society Task Force on PVS. N Engl J Med. 1994;330:1572–1579.

  6. 6.

    Di HB, Yu SM, Weng XC, Laureys S, Yu D, Li JQ, et al. Cerebral response to patient’s own name in the vegetative and minimally conscious states. Neurology. 2007;68:895–9.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Bronkhorst AW. The cocktail party phenomenon: a review of research on speech intelligibility in multiple-talker conditions. Acta Acustica. 2000;86:117–28.

    Google Scholar 

  8. 8.

    Laureys S, Perrin F, Faymonville ME, Schnakers C, Boly M, Bartsch V, et al. Cerebral processing in the minimally conscious state. Neurology. 2004;63:916–8.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Holeckova I, Fischer C, Giard M-H, Delpuech C, Morlet D. Brain responses to a subject’s own name uttered by a familiar voice. Brain Res. 2006;1082:142–52.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Cheng L, Gosseries O, Ying L, Hu X, Yu D, Gao H, et al. Assessment of localisation to auditory stimulation in post-comatose states: use the patient’s own name. BMC Neurol. 2013;13:1–6.

    Article  Google Scholar 

  11. 11.

    Bardin JC, Fins JJ, Katz DI, Hersh J, Heier LA, Tabelow K, et al. Dissociations between behavioural and functional magnetic resonance imaging-based evaluations of cognitive function after brain injury. Brain. 2011;134:769–82.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Giacino JT, Kalmar K, Whyte J. The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. Arch Phys Med Rehabil. 2004;85:2020–9.

    Article  PubMed  Google Scholar 

  13. 13.

    Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996;29:162–73.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Campain R, Minckler J. A note on the gross configurations of the human auditory cortex. Brain Lang. 1976;3:318–23.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Emmorey K, Allen JS, Bruss J, Schenker N, Damasio H. A morphometric analysis of auditory brain regions in congenitally deaf adults. Proc Natl Acad Sci. 2003;100:10049–54.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Jancke L, Schlaug G, Huang Y, Steinmetz H. Asymmetry of the planum parietale. Neuroreport. 1994;5:1161–3.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Pandya D. Anatomy of the auditory cortex. Rev Neurol. 1995;151:486.

    CAS  PubMed  Google Scholar 

  18. 18.

    Pencina MJ, D’Agostino Sr RB, D’Agostino Jr RB, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27:157–72. Discussion 207–112.

    Article  PubMed  Google Scholar 

  19. 19.

    Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993;39:561–77.

    CAS  PubMed  Google Scholar 

  20. 20.

    Cruse D, Chennu S, Chatelle C, Fernandez-Espejo D, Bekinschtein TA, Pickard JD, et al. Relationship between etiology and covert cognition in the minimally conscious state. Neurology. 2012;78:816–22.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Adams JH, Graham DI, Jennett B. The neuropathology of the vegetative state after an acute brain insult. Brain. 2000;123:1327–38.

    Article  PubMed  Google Scholar 

  22. 22.

    Monti MM, Laureys S, Owen AM. The vegetative state. BMJ. 2010;341:c3765.

    Article  PubMed  Google Scholar 

  23. 23.

    Sherer M, Yablon SA, Nakase-Richardson R. Patterns of recovery of posttraumatic confusional state in neurorehabilitation admissions after traumatic brain injury. Arch Phys Med Rehabil. 2009;90:1749–54.

    Article  PubMed  Google Scholar 

  24. 24.

    Perrin F, Schnakers C, Schabus M, Degueldre C, Goldman S, Bredart S, et al. Brain response to one’s own name in vegetative state, minimally conscious state, and locked-in syndrome. Arch Neurol. 2006;63:562–9.

    Article  PubMed  Google Scholar 

  25. 25.

    Giacino JT, Hirsch J, Schiff N, Laureys S. Functional neuroimaging applications for assessment and rehabilitation planning in patients with disorders of consciousness. Arch Phys Med Rehabil. 2006;87:S67–76.

    Article  PubMed  Google Scholar 

  26. 26.

    Owen AM, Coleman MR, Menon DK, Johnsrude IS, Rodd JM, Davis MH, et al. Residual auditory function in persistent vegetative state: a combined PET and fMRI study. Neuropsychol Rehabil. 2005;15:290–306.

    Article  PubMed  Google Scholar 

  27. 27.

    Schiff ND, Rodriguez-Moreno D, Kamal A, Kim KH, Giacino JT, Plum F, et al. fMRI reveals large-scale network activation in minimally conscious patients. Neurology. 2005;64:514–23.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Monti MM, Vanhaudenhuyse A, Coleman MR, Boly M, Pickard JD, Tshibanda L, et al. Willful modulation of brain activity in disorders of consciousness. N Engl J Med. 2010;362:579–89.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Bruno MA, Majerus S, Boly M, Vanhaudenhuyse A, Schnakers C, Gosseries O, et al. Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients. J Neurol. 2012;259:1087–98.

    Article  PubMed  Google Scholar 

  30. 30.

    Gosseries O, Di H, Laureys S, Boly M. Measuring consciousness in severely damaged brains. Annu Rev Neurosci. 2014;37:457–78.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Coleman MR, Rodd JM, Davis MH, Johnsrude IS, Menon DK, Pickard JD, et al. Do vegetative patients retain aspects of language comprehension? Evidence from fMRI. Brain. 2007;130:2494–507.

    Article  PubMed  Google Scholar 

  32. 32.

    Coleman MR, Bekinschtein T, Monti MM, Owen AM, Pickard JD. A multimodal approach to the assessment of patients with disorders of consciousness. Prog Brain Res. 2009;177:231–48.

    CAS  Article  PubMed  Google Scholar 

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This paper is funded by the National Natural Science Foundation of China (KG14086, KG08027, KG13007), Science and Technology Department of Zhejiang Province (KZ09037), Hangzhou Normal University (JTAS2011-01-016). We thank Professor Yizhang Chen, Professor Xuchu Weng, Dr. Zirui Huang, Professor Shizheng Zhang, Dr. Lianhe zhang, Dr. Shenmin Yu, Dr. Jingqi Li, Lijuan Cheng, Professor Jianping Ding, Ying Zhang, Xiaojing Yu, and Lizette Heine for their kind help.

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Correspondence to Haibo Di.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

HBD and SL conceived of the study, participated in its design, and performed the statistical analysis. FYW and HBD carried out the fMRI data analysis, participated in the data acquisition, and drafted the manuscript. XHH, SJ, YZN, and WSH carried out the behavioral assessment and patients’ follow-up. SL, AT, CDP, and CS coordinated and helped to draft the manuscript. All authors read and approved the final manuscript.

Fuyan Wang and Haibo Di contributed equally to this work.

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Wang, F., Di, H., Hu, X. et al. Cerebral response to subject’s own name showed high prognostic value in traumatic vegetative state. BMC Med 13, 83 (2015).

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  • Functional MRI
  • Own name
  • Prognosis
  • Traumatic brain injury
  • Vegetative state/unresponsive wakefulness syndrome