RESEARCH ARTICLE


Disembodied Mind: Cortical Changes Following Brainstem Injury in Patients with Locked-in Syndrome



Francesca Pistoia1, 2, *, Riccardo Cornia3, Massimiliano Conson4, Olivia Gosseries5, Antonio Carolei1, Simona Sacco1, Carlo C. Quattrocchi6, Carlo A. Mallio6, Cristina Iani7, Debora Di Mambro8, Marco Sarà8
1 Neurological Institute, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
2 Don Carlo Gnocchi ONLUS Foundation, Milan, Italy
3 Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, Modena, Italy
4 Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Naples, Italy
5 Coma Science Group, GIGA, University of Liege, Liege, Belgium
6 Departmental Faculty of Medicine and Surgery, Unit of Diagnostic Imaging, University Campus Bio-Medico of Rome, Rome, Italy
7 Department of Communication and Economy, University of Modena and Reggio Emilia, Modena, Italy
8 Post-Coma Rehabilitation Care Unit, San Raffaele Hospital, Cassino, Italy


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 1556
Abstract HTML Views: 458
PDF Downloads: 138
ePub Downloads: 141
Total Views/Downloads: 2293
Unique Statistics:

Full-Text HTML Views: 598
Abstract HTML Views: 269
PDF Downloads: 81
ePub Downloads: 93
Total Views/Downloads: 1041



© Pistoia et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Neurological Institute, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Italy; Tel/Fax: +39.0862.433552; Mobile: +39.348.0136406; E-mail: francesca.pistoia@univaq.it


Abstract

Locked-in syndrome (LIS) following ventral brainstem damage is the most severe form of motor disability. Patients are completely entrapped in an unresponsive body despite consciousness is preserved. Although the main feature of LIS is this extreme motor impairment, minor non-motor dysfunctions such as motor imagery defects and impaired emotional recognition have been reported suggesting an alteration of embodied cognition, defined as the effects that the body and its performances may have on cognitive domains. We investigated the presence of structural cortical changes in LIS, which may account for the reported cognitive dysfunctions. For this aim, magnetic resonance imaging scans were acquired in 11 patients with LIS (6 males and 5 females; mean age: 52.3±5.2SD years; mean time interval from injury to evaluation: 9±1.2SD months) and 44 healthy control subjects matching patients for age, sex and education. Freesurfer software was used to process data and to estimate cortical volumes in LIS patients as compared to healthy subjects. Results showed a selective cortical volume loss in patients involving the superior frontal gyrus, the pars opercularis and the insular cortex in the left hemisphere, and the superior and medium frontal gyrus, the pars opercularis, the insular cortex, and the superior parietal lobule in the right hemisphere. As these structures are typically associated with the mirror neuron system, which represents the neural substrate for embodied simulation processes, our results provide neuroanatomical support for potential disembodiment in LIS.

Key words: Cognition, locked-in syndrome, magnetic Resonance (MR) imaging, ventral brainstem damage.



INTRODUCTION

Locked-in syndrome (LIS) represents the most severe form of motor disability after brain injury [1]. It is the consequence of ventral brainstem damage as a result of vascular or traumatic lesions disconnecting corticospinal and corticobulbar tracts bilaterally (Fig. 1). Patients with LIS are fully conscious but completely paralyzed with the exception of vertical eye movements and blinking. They also show anarthria and lower cranial nerve paralysis and learn to interact with others through an eye-coded communication system. As supratentorial structures and cortex are considered traditionally preserved in these patients, they have been long regarded as cognitively intact. Recent studies, however, have described some cognitive and behavioral dysfunctions, including motor imagery defects, impaired recognition of negative facial expressions and pathologic laughter and crying [2-5]. Moreover, these dysfunctions are associated with a functional impairment of cortical neuronal synchronization mechanisms in the resting state condition [6]. All together these observations suggest that patients with LIS may progressively develop cortical changes, which may be responsible for unexpected behavioral disorders. Actually, it is reasonable to expect that patients with LIS show a certain degree of selective cortical atrophy due to the disconnection between the cortex and the spinal cord. This assumption is endorsed by data on other categories of patients, such as patients with spinal cord injury, in whom changes in brain motor activation patterns, after the initial spine injury, have been described [7, 8]. Similarly, the temporary immobilization of a limb in healthy subjects has been reported to induce immobilization-related plasticity phenomena in the motor imagery circuitry, thus endorsing the idea that limb non-use may lead to corticomotor depression and atrophy [9]. To date, alterations in gray matter volume have never been investigated in patients with LIS. The aim of this study is to investigate the presence of structural cortical changes following brainstem damage in LIS.

METHODS

Participants

All patients with LIS consecutively admitted to the Post-Coma Rehabilitation Care Unit of the San Raffaele Hospital, Cassino, Italy, within a two-year period were included in the study. Inclusion criteria were diagnosis of LIS at admission as a consequence of ventral brainstem damage of traumatic or vascular origin, age ≥18 years, and informed consent by the proxy or surrogate to participate in this study. Exclusion criteria were the instability of general clinical conditions after two weeks from admission, the presence of additional cortical or subcortical lesions as shown by Magnetic Resonance (MR) imaging, the observation of eye movement disorders as a further impediment to communication and a history of psychiatric or cognitive dysfunctions before the brainstem injury. The assessment resulting in the diagnosis of LIS was carried out within the first week from admission, by expert neurologists (FP and SS) previously trained to assess such patients. Screened patients were classified according to the Bauer’s classification, which stratifies patients into three categories based upon the degree of residual ability to communicate: the classic or pure form, characterized by the complete loss of any motor output with the exception of vertical eye movements and blinking; the incomplete form, characterized by the presence of some voluntary motion other than eye movements; and the total form, characterized by the complete loss of any motor output, including eye movements [1, 10, 11].

Healthy volunteers matching patients for age, sex and education, free from neurological or psychiatric disorders and with normal MR imaging, were also included in the study.

Fig. (1).

Ventral brainstem lesion in locked-in syndrome.


Procedures

MRI Acquisition

A 1.5 Tesla MRI scanner (Espree, Siemens AG, Erlangen) with a standard 8-channel birdcage head coil was used for MRI data acquisition. For each subject and each time point, two images were acquired. The first was a high-resolution T1-weighted image (2 times), acquired using a Magnetization Prepared Rapid Acquisition Gradient Echo (MPRAGE) sequence (repetition time 1590ms; echo time 2.4ms; flip angle 0°; matrix size 192 × 192; number of slices 160; voxel size 1 × 1 × 1mm3). The second was a T2-weighted image using a Fluid Attenuated Inversion Recovery (FLAIR) sequence (repetition time 9000ms; echo time 88ms; flip angle 0°; matrix size 384 × 512; number of slices 44).

All brain MRI scans were reviewed independently by two experienced neuroradiologists (CCQ and CAM) in order to rule out additional cortical or subcortical structural abnormalities.

Volumetric Analysis

Cortical reconstruction and volumetric segmentation was performed through the Freesurfer image analysis suite, which is documented and freely available for download online at (surfer.nmr.mgh.harvard.edu/). Freesurfer volumetric analysis has been widely used across past studies addressing various issues [12-15]. The technical details of Freesurfer-based procedures are described in prior publications [16-27]. Briefly, this processing includes motion correction and averaging of multiple volumetric T1 weighted images [28], removal of non-brain tissue using a hybrid watershed/surface deformation procedure [27], automated Talairach transformation, segmentation of the subcortical white matter and intensity normalization of deep gray matter volumetric structures (including hippocampus, amygdala, caudate, putamen and ventricles) [20, 21-29], tessellation of the gray matter-white matter boundary, automated topology correction [19, 30] and surface deformation following intensity gradients to optimally place the gray/white and gray/cerebrospinal fluid borders at the location where the greatest shift in intensity defines the transition to the other tissue class [16-18]. Once the cortical models are completed, a number of deformable procedures can be performed for further data processing and analysis. These include surface inflation [22], registration to a spherical atlas which utilizes individual cortical folding patterns to match cortical geometry across subjects [23], parcellation of the cerebral cortex into units based on gyral and sulcal structure [24], and creation of a variety of surface based data including maps of curvature and sulcal depth. This method uses both intensity and continuity information from the entire three dimensional MR volume in segmentation and deformation procedures to produce representations of cortical thickness, calculated as the closest distance from the gray/white boundary to the gray/CSF boundary at each vertex on the tessellated surface [18]. In this study, segmented and skull stripped data of all participants were visually inspected and inaccuracies, if any, were manually corrected by expert neuroradiologists (CCQ, CAM) to avoid misclassification of tissue type, then edited again. Finally, maps were smoothed by a Gaussian Kernel of 10mm Full Width at Half Maximum (FWHM). For each participant, mean cortical volume values of 34 brain regions, according to Desikan parcellation [31], were calculated for both hemispheres as the average of two values, the minimal distance from gray/white matter boundary and pial surface and vice versa. Each subject’s brain was morphed and registered to an average spherical surface that finely aligns sulci and gyri across them. Then cortical volume values were mapped on this average inflated surface, thus avoiding interference of cortical folding on the visualization.

Statistical maps were generated using FreeSurfer’s Query, Design, Estimate, Contrast (QDEC) interface. For each hemisphere a general linear model (GLM) of the effect of age on cortical volumes was evaluated at each vertex for male and female groups. Spatial smoothing with an isotropic kernel (FWHM =10 mm) was applied. Data were deemed as statistically significant if p<0.01. False Discovery Rate (FDR) was corrected and tables of cluster size and location were generated.

RESULTS

Study Participants

Out of 13 patients who were admitted within the study period, 11 patients fulfilled the criteria to be included in the study (6 males and 5 females; mean age: 52.3±5.2SD years, range 40–66; mean education: 12±4.1SD years, range 5-17; mean time interval from injury to evaluation: 9±1.2SD months). Two patients were excluded (1 male and 1 female; mean age: 48.5±19.0SD years) as showing ocular movement disorders (n = 1) or additional cortical lesions as a result of a previous vascular injury (n = 1). All included patients showed a pure LIS. In addition, forty-four right-handed healthy subjects, matching patients for age, sex, and education, were included as controls.

Cortical Volume Vertex Comparison Between Groups

After computing the whole brain data and exploring brain regions in which cortical volume vertex varied between groups, lower cortical volumes in the locked-in group were detected in the following structures (data are presented in descending order for each hemisphere): in the left hemisphere, insula (log(10)t = -3.2873 size = 106.31 mm2 x = -33.8 y = 5.5 z = -13.8), superior frontal gyrus (log(10)t = -2.9907 size= 172.08 mm2 x = -10.0 y = 46.8 z = 40.4), pars opercularis (log(10)t = -2.9773 size = 811.70 mm2 x= -48.4 y = 8.3 z = 1.1); in the right hemisphere, insula (log(10)t = -3.3260 size = 131.29 mm2 x = 38.2 y = -14.1 z = 7.4), superior parietal lobule (log(10)t = -3.2355 size = 145.46 mm2 x = 15.4 y = -72.9 z = 41.0), rostral middle frontal region (log(10)t = -2.8092 size = 130.57 mm2 x = 35.7 y = 32.9 z = 30.3), cuneus (log(10)t = -2.6725 size = 116.00 mm2 x = 5.2 y = -80.4 z = 26.2), post-central gyrus (log(10)t = -2.6316 size = 108.72 mm2 x = 57.3 y = -9.7 z = 30.3), pars opercularis (log(10)t = -2.5917 size = 140.62mm2 x= 49.8 y = 11.9 z = 2.9) and precuneus (log(10)t = -2.5099 size = 137.23mm2 x = 21.6 y = -68.3 z = 24.1). Cortical alterations are shown in Figs. (2, 3). More detailed data from the volumetric analysis are reported in the Table 1.

Table 1.

Detailed data of volumetric analysis for left and right hemisphere respectively.


DISCUSSION

In the present study we investigated possible alterations in gray matter volume following brainstem damage in LIS. Results showed a selective cortical volume loss in LIS patients as compared to healthy controls. In the left hemisphere, cortical loss mainly involved the superior frontal gyrus, the pars opercularis and the insular cortex, while in the right hemisphere loss was mainly detected within the superior and medium frontal gyrus, pars opercularis, insular cortex, superior parietal lobule, cuneus, and precuneus. Lateral frontal and parietal cortices, including the parietal lobule, posterior inferior frontal gyrus and adjacent ventral premotor cortex, have typically been associated with the classical mirror neuron system, which represents the neural substrate for imitation and action understanding [32]. Later behavioral and neurofunctional studies extended the mirror neuron system areas beyond those belonging to the classical fronto-parietal system [33, 34] and specified a wider range of related cognitive processes, other than action observation and imitation. Nowadays this broader system is at the heart of the concept of embodied simulation which refers to our ability to recognize actions from other people by simulating in our own minds the same experiences [35]. Different views of simulation are presented in the literature, but almost all share the idea that the same motor representations are involved not only in imitation or action observation but also in other action-related phenomena such as motor imagery [36]. In recent years, it has been demonstrated that patients with LIS are affected by motor imagery deficits, as demonstrated by their impaired performance on mental rotation of hand images in the presence of a spared ability to mentally rotate non-corporeal images such as three-dimensional geometrical figures [2, 3]. It has been suggested that defective action simulation processes in LIS must be ascribed to the functional interruption of the parieto-cerebellar circuit specifically involved in movement prediction [37]. The findings of the present study allow us to further clarify the mechanisms underlying motor imagery deficits in LIS patients and to hypothesize that the reported gray matter volume alterations in fronto-parietal cortical areas may be responsible for an alteration of embodied cognition. The cortical loss which was found in medial occipital (cuneus) and parietal areas (precuneus) further support this interpretation, as previous neuroimaing evidence from healthy individuals and from patients with anorexia nervosa showed the involvement of these areas in motor imagery and in alterations of self-body representation [38, 39]. Recently, it has also been demonstrated that LIS patients are significantly less accurate than healthy controls in recognizing negative emotional facial expressions and tend to confound between different negative emotions [4]. On the contrary, they can accurately identify non-negative emotional expressions (happiness and surprise) [4]. Since embodied simulation theories posit that reenactment of sensory and motor components related to emotional experience contributes to the attribution of emotions to others [40], it has been suggested that impaired voluntary mimicry in LIS could affect conscious recognition of facial expressions (without hampering adequate emotional responses to complex scenes) [4].

Fig. (2).

Cortical changes in LIS patients in the left hemisphere (Changes have been estimated by comparing LIS patients and healthy controls).


In this respect, a more recent study examined activation patterns associated with the execution and/or observation of expressions of emotions and found that, in addition to classical fronto-parietal mirror regions, simulation of emotional states also involved the amygdala, the cingulate and the insula [41]. The present results, showing a cortical loss within the left and right insula, are consistent with evidence on “emotional simulative brain areas” and provide further support for the idea that a lesion of the ventral pons, interrupting efferent pathways, as in LIS patients, also interferes with functional connections linking the frontal, parietal, and limbic cortex with the cerebellum via pontine nuclei, leading to a severe defect of embodied simulation processes [4, 42, 43]. It may be that the functional interruption of parieto-cerebellar connections abolishes forward mechanisms predicting the consequences of movements, accounting for motor imagery defects and for the selective impairment of explicit recognition of emotional facial expressions in LIS. The strength of our study includes the case-control design, the large sample size and the robustness of the adopted statistical method. A limitation is represented by the absence of a concurrent cognitive assessment in the investigated patients. Future studies addressing this issue are needed in order to identify both cortical changes and cognitive dysfunctions in patients with LIS and to determine correlations between each other.

CONCLUSION

Despite the main feature of LIS syndrome remains the extreme motor impairment, several minor cognitive dysfunctions have been described. These dysfunctions may be the result of alterations in embodied cognition, defined as the effect that the body and its performances can have on cognitive domains. This allows us to hypothesize the presence of inverse plasticity phenomena on embodiment related areas in patients with LIS. In fact, a LIS patient cannot “bring into play” the mayor embodied functions when interacting with the environment. In this way, the preserved working of cortical embodiment-related areas may result in a confounding source of noise in everyday life. Therefore, the combination of motor and non-motor symptoms in LIS may be the consequence of the ventral pontine damage coupled with an adaptive inhibition of most embodiment-related cortical areas.

Fig. (3).

Cortical changes in LIS patients in the right hemisphere (Changes have been estimated by comparing LIS patients and healthy controls).


CONFLICT OF INTEREST

The authors confirm that this article content has no conflict of interest.

ACKNOWLEDGEMENTS

Decleared none.

REFERENCES

[1] Bauer G, Gerstenbrand F, Rumpl E. Varieties of the locked-in syndrome. J Neurol 1979; 221(2): 77-91.
[2] Conson M, Sacco S, Sarà M, Pistoia F, Grossi D, Trojano L. Selective motor imagery defect in patients with locked-in syndrome. Neuropsychologia 2008; 46(11): 2622-8.
[3] Conson M, Pistoia F, Sarà M, Grossi D, Trojano L. Recognition and mental manipulation of body parts dissociate in locked-in syndrome. Brain Cogn 2010; 73(3): 189-93.
[4] Pistoia F, Conson M, Trojano L, et al. Impaired conscious recognition of negative facial expressions in patients with locked-in syndrome. J Neurosci 2010; 30(23): 7838-44.
[5] Sacco S, Sarà M, Pistoia F, Conson M, Albertini G, Carolei A. Management of pathologic laughter and crying in patients with locked-in syndrome: a report of 4 cases. Arch Phys Med Rehabil 2008; 89(4): 775-8.
[6] Babiloni C, Pistoia F, Sarà M, et al. Resting state eyes-closed cortical rhythms in patients with locked-in-syndrome: an EEG study. Clin Neurophysiol 2010; 121(11): 1816-24.
[7] Curt A, Alkadhi H, Crelier GR, Boendermaker SH, Hepp-Reymond MC, Kollias SS. Changes of non-affected upper limb cortical representation in paraplegic patients as assessed by fMRI. Brain 2002; 125(Pt 11): 2567-78.
[8] Cramer SC, Lastra L, Lacourse MG, Cohen MJ. Brain motor system function after chronic, complete spinal cord injury. Brain 2005; 128(Pt 12): 2941-50.
[9] Burianová H, Sowman PF, Marstaller L, et al. Adaptive Motor Imagery: A multimodal study of immobilization-Induced brain plasticity. Cereb Cortex 2016; 26(3): 1072-80.
[10] Pistoia F, Conson M, Sarà M. Opsoclonus-myoclonus syndrome in patients with locked-in syndrome: a therapeutic porthole with gabapentin. Mayo Clin Proc 2010; 85(6): 527-31.
[11] Pistoia F, Sarà M. Gabapentin therapy for ocular opsoclonus-myoclonus restores eye movement communication in a patient with a locked-in syndrome. Neurorehabil Neural Repair 2010; 24(5): 493-4.
[12] Romano A, Moraschi M, Cornia R, et al. Age effects on cortical thickness in young Down’s syndrome subjects: a cross-sectional gender study. Neuroradiology 2015; 57(4): 401-11.
[13] Persson J, Pudas S, Lind J, Kauppi K, Nilsson LG, Nyberg L. Longitudinal structure-function correlates in elderly reveal MTL dysfunction with cognitive decline. Cereb Cortex 2012; 22(10): 2297-304.
[14] Teicher MH, Anderson CM, Polcari A. Childhood maltreatment is associated with reduced volume in the hippocampal subfields CA3, dentate gyrus, and subiculum. Proc Natl Acad Sci USA 2012; 109(9): E563-72.
[15] Bio DS, Soeiro de-Souza MG, Otaduy MC, Machado-Vieira R, Moreno RA. The impact of limbic system morphology on facial emotion recognition in bipolar I disorder and healthy controls. Neuropsychiatr Dis Treat 2013; 9: 743-51.
[16] Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999; 9(2): 179-94.
[17] Dale AM, Sereno MI. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J Cogn Neurosci 1993; 5(2): 162-76.
[18] Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci USA 2000; 97(20): 11050-5.
[19] Fischl B, Liu A, Dale AM. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 2001; 20(1): 70-80.
[20] Fischl B, Salat DH, Busa E, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 2002; 33(3): 341-55.
[21] Fischl B, Salat DH, van der Kouwe AJ, et al. Sequence-independent segmentation of magnetic resonance images. Neuroimage 2004; 23(Suppl.1): S69-84.
[22] Fischl B, Sereno MI, Dale AM. Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage 1999; 9(2): 195-207.
[23] Fischl B, Sereno MI, Tootell RB, Dale AM. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp 1999; 8(4): 272-84.
[24] Fischl B, van der Kouwe A, Destrieux C, et al. Automatically parcellating the human cerebral cortex. Cereb Cortex 2004; 14(1): 11-22.
[25] Han X, Jovicich J, Salat D, et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 2006; 32(1): 180-94.
[26] Jovicich J, Czanner S, Greve D, et al. Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage 2006; 30(2): 436-43.
[27] Ségonne F, Dale AM, Busa E, et al. A hybrid approach to the skull stripping problem in MRI. Neuroimage 2004; 22(3): 1060-75.
[28] Reuter M, Rosas HD, Fischl B. Highly accurate inverse consistent registration: a robust approach. Neuroimage 2010; 53(4): 1181-96. http://reuter.mit.edu/papers/reuter-robreg10.pdf
[29] Sled JG, Zijdenbos AP, Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998; 17(1): 87-97.
[30] Ségonne F, Pacheco J, Fischl B. Geometrically accurate topology-correction of cortical surfaces using nonseparating loops. IEEE Trans Med Imaging 2007; 26(4): 518-29.
[31] Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006; 31(3): 968-80.
[32] Rizzolatti G, Craighero L. The mirror-neuron system. Annu Rev Neurosci 2004; 27: 169-92.
[33] Caspers S, Zilles K, Laird AR, Eickhoff SB. ALE meta-analysis of action observation and imitation in the human brain. Neuroimage 2010; 50(3): 1148-67.
[34] Molenberghs P, Cunnington R, Mattingley JB. Brain regions with mirror properties: a meta-analysis of 125 human fMRI studies. Neurosci Biobehav Rev 2012; 36(1): 341-9.
[35] Gallese V, Sinigaglia C. What is so special about embodied simulation? Trends Cogn Sci (Regul Ed) 2011; 15(11): 512-9.
[36] Decety J, Grèzes J. The power of simulation: imagining one’s own and other’s behavior. Brain Res 2006; 1079(1): 4-14.
[37] Blakemore SJ, Sirigu A. Action prediction in the cerebellum and in the parietal lobe. Exp Brain Res 2003; 153(2): 239-45.
[38] Gaudio S, Quattrocchi CC. Neural basis of a multidimensional model of body image distortion in anorexia nervosa. Neurosci Biobehav Rev 2012; 36(8): 1839-47.
[39] Zapparoli L, Invernizzi P, Gandola M, et al. Mental images across the adult lifespan: a behavioural and fMRI investigation of motor execution and motor imagery. Exp Brain Res 2013; 224(4): 519-40.
[40] Niedenthal PM. Embodying emotion. Science 2007; 316(5827): 1002-5.
[41] Molenberghs P, Hayward L, Mattingley JB, Cunnington R. Activation patterns during action observation are modulated by context in mirror system areas. Neuroimage 2012; 59(1): 608-15.
[42] Keysers C, Gazzola V. Towards a unifying neural theory of social cognition. Prog Brain Res 2006; 156: 379-401.
[43] Gazzola V, Aziz-Zadeh L, Keysers C. Empathy and the somatotopic auditory mirror system in humans. Curr Biol 2006; 16(18): 1824-9.