[en] Disorders of consciousness (DoC) are a heterogeneous spectrum of clinical conditions, including coma, unresponsive wakefulness syndrome, and minimally conscious state. DoC are clinically defined on the basis of behavioral cues expressed by the patients, on the assumption that such behavioral responses of the patient are representative of the patient's degree of consciousness impairment. However, many studies have highlighted the issues arising from formulating a DoC diagnosis merely on behavioral assessment. Overcoming the limitations of behavioral assessment, neuroimaging provides a direct window on the cerebral activity of the patient, bypassing the motor, perceptual, or cognitive deficits that might hamper the patient's ability to produce an appropriate behavioral response. This chapter provides an overview of available molecular, functional, and structural neuroimaging evidence in patients with DoC. This chapter introduces the neuroimaging tools available in the clinical settings of nuclear medicine and neuroradiology and presents the evidence on the role of neuroimaging tools to improve the clinical management of DoC patients, from the standpoint of differential diagnosis and prognosis. Last, we outline the open questions in the field, and point at actions that are urgently needed to fully exploit neuroimaging tools to advance scientific understanding and clinical management of DoC.
Disciplines :
Radiology, nuclear medicine & imaging
Author, co-author :
Sala, Arianna ; Université de Liège - ULiège > GIGA > GIGA Neurosciences - Coma Science Group
Gosseries, Olivia ; Université de Liège - ULiège > GIGA > GIGA Neurosciences - Coma Science Group
Laureys, Steven ; Université de Liège - ULiège > Département des sciences cliniques
Annen, Jitka ; Université de Liège - ULiège > GIGA > GIGA Neurosciences - Coma Science Group
Language :
English
Title :
Advances in neuroimaging in disorders of consciousness.
Publication date :
2025
Main work title :
Handbook of Clinical Neurology: Coma, Stupor, and Related Disorders of Consciousness
Main work alternative title :
[en] Coma, Stupor, and Related Disorders of Consciousness
We would like to express our gratitude to the University and University Hospital of Li\u00E8ge, the Belgian National Funds for Scientific Research (FRS-FNRS), in the framework of the research projects No PDR/BEJ T.0134.21 and MIS F.4521.23, ERA-Net FLAG-ERA JTC2021 project ModelDXConsciousness (Human Brain Project Partnering Project), the Horizon 2020 MSCA\u2014Research and Innovation Staff exchange (101131344\u2014DOCBOX), the European Space Agency (ESA) and the Belgian Federal Science Policy Office (BELSPO) in the framework of the PRODEX Programme, the BIAL Foundation, the Mind Science Foundation, the fund Generet of the King Baudouin Foundation, the Mind-Care foundation and AstraZeneca Foundation.S.L. is a research director, O.G. is a research associate, and A.S. is a postdoctoral research fellow at FRS-FNRS. J.A. is a postdoctoral fellow funded (1265522N) by the Fund for Scientific Research-Flanders (FWO).We would like to express our gratitude to the University and University Hospital of Li\u00E8ge, the Belgian National Funds for Scientific Research (FRS-FNRS), in the framework of the research projects No PDR/BEJ T.0134.21 and MIS F.4521.23, ERA-Net FLAG-ERA JTC2021 project ModelDXConsciousness (Human Brain Project Partnering Project), the Horizon 2020 MSCA\u2014Research and Innovation Staff exchange (101131344\u2014DOCBOX), the European Space Agency (ESA) and the Belgian Federal Science Policy Office (BELSPO) in the framework of the PRODEX Programme, the BIAL Foundation, the Mind Science Foundation, the fund Generet of the King Baudouin Foundation, the Mind-Care foundation and AstraZeneca Foundation. S.L. is a research director, O.G. is a research associate, and A.S. is a postdoctoral research fellow at FRS-FNRS. J.A. is a postdoctoral fellow funded (1265522N) by the Fund for Scientific Research-Flanders (FWO). The authors have no conflicts of interest to declare.
AAN (American Academy of Neurology), Clinical practice guideline process manual. 11th edn., 2011, The American Academy of Neurology, St. Paul, MN.
Annen, J., Blandiaux, S., Lejeune, N., et al. BCI performance and brain metabolism profile in severely brain-injured patients without response to command at bedside. Front Neurosci 12 (2018), 1–8, 10.3389/fnins.2018.00370.
Annen, J., Frasso, G., Crone, J.S., et al. Regional brain volumetry and brain function in severely brain-injured patients. Ann Neurol 83 (2018), 842–853.
Balakrishnan, R., Brain tissue contrast: CT versus MRI. J Brain Res, 2, 2019, 2.
Balshem, H., Helfand, M., Schünemann, H.J., et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol 64 (2011), 401–406.
Bambach, S., Smith, M., Morris, P.P., et al. Arterial spin labeling applications in pediatric and adult neurologic disorders. J Magn Reson Imaging 55 (2022), 698–719, 10.1002/jmri.27438.
Bardin, J.C., Fins, J.J., Katz, D.I., et al. Dissociations between behavioural and functional magnetic resonance imaging-based evaluations of cognitive function after brain injury. Brain 134 (2011), 769–782, 10.1093/brain/awr005.
Bardin, J.C., Schiff, N.D., Voss, H.U., Pattern classification of volitional functional magnetic resonance imaging responses in patients with severe brain injury. Arch Neurol 69 (2012), 176–181, 10.1001/archneurol.2011.892.
Bekinschtein, T., Tiberti, C., Niklison, J., et al. Assessing level of consciousness and cognitive changes from vegetative state to full recovery. Neuropsychol Rehabil 15 (2005), 307–322, 10.1080/09602010443000443.
Bekinschtein, T.A., Dehaene, S., Rohaut, B., et al. Neural signature of the conscious processing of auditory regularities. Proc Natl Acad Sci U S A 106 (2009), 1672–1677, 10.1073/pnas.0809667106.
Bekinschtein, T.A., Manes, F.F., Villarreal, M., et al. Functional imaging reveals movement preparatory activity in the vegetative state. Front Hum Neurosci, 5, 2011, 5.
Bewermeyer, H., Dreesbach, H.A., Rackl, A., et al. Presentation of bilateral thalamic infarction on CT, MRI and PET. Neuroradiology 27 (1985), 414–419, 10.1007/BF00327605.
Bick, A.S., Leker, R.R., Ben-Hur, T., et al. Implementing novel imaging methods for improved diagnosis of disorder of consciousness patients. J Neurol Sci 334 (2013), 130–138.
Biswal, B., Yetkin, F.Z., Haughton, V.M., et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 34 (1995), 537–541.
Biswal, B.B., Van Kylen, J., Hyde, J.S., Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps. NMR Biomed 10 (1997), 165–170.
Bodart, O., Gosseries, O., Wannez, S., et al. Measures of metabolism and complexity in the brain of patients with disorders of consciousness. NeuroImage Clin 14 (2017), 354–362, 10.1016/j.nicl.2017.02.002.
Boellaard, R., Standards for PET image acquisition and quantitative data analysis. J Nucl Med 50 (2009), 11S–20S.
Boly, M., Faymonville, M.E., Peigneux, P., et al. Auditory processing in severely brain injured patients: differences between the minimally conscious state and the persistent vegetative state Me'lanie. Arch Neurol 61 (2004), 233–238.
Boly, M., Coleman, M.R., Davis, M.H., et al. When thoughts become action: an fMRI paradigm to study volitional brain activity in non-communicative brain injured patients. Neuroimage 36 (2007), 379–392, 10.1016/j.neuroimage.2007.02.047.
Boly, M., Faymonville, M.E., Schnakers, C., et al. Perception of pain in the minimally conscious state with PET activation: an observational study. Lancet Neurol 7 (2008), 1013–1020, 10.1016/S1474-4422(08)70219-9.
Boly, M., Sanders, R.D., Mashour, G.A., et al. Consciousness and responsiveness: lessons from anaesthesia and the vegetative state. Curr Opin Anaesthesiol 26 (2013), 444–449, 10.1097/ACO.0b013e3283628b5d.
Braiman, C., Conte, M.M., Schiff, N.D., et al. Cortical response to the natural speech envelope correlates with neuroimaging evidence of cognition in severe brain injury. Curr Biol 28 (2018), 3833–3839.e3, 10.1016/j.cub.2018.10.057.
Buzug, T.M., Computed tomography. Kramme, R., Hoffmann, K.-P., Pozos, R.S., (eds.) Springer handbook of medical technology, 2011, Springer, 311–342.
Carriere, M., Larroque, S.K., Martial, C., et al. An echo of consciousness: brain function during preferred music. Brain Connect 10 (2020), 385–395.
Chatelle, C., Thibaut, A., Gosseries, O., et al. Changes in cerebral metabolism in patients with a minimally conscious state responding to zolpidem. Front Hum Neurosci, 2014, 10.3389/fnhum.2014.00917.
Chennu, S., Finoia, P., Kamau, E., et al. Dissociable endogenous and exogenous attention in disorders of consciousness. NeuroImage Clin 3 (2013), 450–461, 10.1016/j.nicl.2013.10.008.
Chennu, S., Annen, J., Wannez, S., et al. Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness. Brain 140 (2017), 2120–2132, 10.1093/brain/awx163.
Clark, R., Klein, L., Nunn, A., et al. An infant with rapidly progressive altered mental status and seizures. Clin Pediatr (Phila) 56 (2017), 682–685, 10.1177/0009922816669791.
Coleman, M.R., Rodd, J.M., Davis, M.H., et al. Do vegetative patients retain aspects of language comprehension? Evidence from fMRI. Brain 130 (2007), 2494–2507.
Coleman, M.R., Davis, M.H., Rodd, J.M., et al. Towards the routine use of brain imaging to aid the clinical diagnosis of disorders of consciousness. Brain 132 (2009), 2541–2552.
Corazzol, M., Lio, G., Lefevre, A., et al. Restoring consciousness with vagus nerve stimulation. Curr Biol 27 (2017), R994–R996.
Crone, J.S., Ladurner, G., Höller, Y., et al. Deactivation of the default mode network as a marker of impaired consciousness: an fMRI study. PLoS One, 6, 2011, e26373.
Crone, J.S., Schurz, M., Höller, Y., et al. Impaired consciousness is linked to changes in effective connectivity of the posterior cingulate cortex within the default mode network. Neuroimage 110 (2015), 101–109.
Crone, J.S., Lutkenhoff, E.S., Vespa, P.M., et al. A systematic investigation of the association between network dynamics in the human brain and the state of consciousness. Neurosci Conscious, 2020, 2020, niaa008.
Curley, W.H., Forgacs, P.B., Voss, H.U., et al. Characterization of EEG signals revealing covert cognition in the injured brain. Brain 141 (2018), 1404–1421, 10.1093/brain/awy070.
Dafflon, J., Da Costa, P.F., Váša, F., et al. A guided multiverse study of neuroimaging analyses. Nat Commun, 13, 2022, 10.1038/s41467-022-31347-8.
Damiani, D., Disorders of consciousness: practical management in an emergency room. Arq Bras Neurocir Brazilian Neurosurg 38 (2019), 263–271.
De Jong, B.M., Willemsen, A.T.M., Paans, A.M.J., Regional cerebral blood flow changes related to affective speech presentation in persistent vegetative state. Clin Neurol Neurosurg 99 (1997), 213–216, 10.1016/S0303-8467(97)00024-3.
De Schepper, S., Gnanasegaran, G., Dickson, J.C., et al. Absolute quantification in diagnostic SPECT/CT: the phantom premise. Diagnostics 11 (2021), 1–15, 10.3390/diagnostics11122333.
Demertzi, A., Gomez, F., Crone, J.S., et al. Multiple fMRI system-level baseline connectivity is disrupted in patients with consciousness alterations. Cortex 52 (2014), 35–46.
Demertzi, A., Antonopoulos, G., Heine, L., et al. Intrinsic functional connectivity differentiates minimally conscious from unresponsive patients. Brain 138 (2015), 2619–2631.
Demertzi, A., Tagliazucchi, E., Dehaene, S., et al. Human consciousness is supported by dynamic complex patterns of brain signal coordination. Sci Adv, 5, 2019, eaat7603.
Di Perri, C., Annen, J., Antonopoulos, G., et al. Measuring consciousness through imaging. Monti, M.M., Sannita, W.G., (eds.) Brain function and responsiveness in disorders of consciousness, 2016, Springer, 51–65.
Di Perri, C., Thibaut, A., Heine, L., et al. Towards new methods of diagnosis in disorders of consciousness—authors’ reply. Lancet Neurol 15 (2016), 1115–1116.
Di, H.B., Yu, S.M., Weng, X.C., et al. Cerebral response to patient's own name in the vegetative and minimally conscious states. Neurology 68 (2007), 895–899.
Di, H., Boly, M., Weng, X., et al. Neuroimaging activation studies in the vegetative state: predictors of recovery?. Clin Med J R Coll Physicians Lond 8 (2008), 502–507, 10.7861/clinmedicine.8-5-502.
DiProspero, N.D., Kim, S., Yassa, M.A., Magnetic resonance imaging biomarkers for cognitive decline in Down syndrome. Head, E., Lott, I., (eds.) The neurobiology of aging and Alzheimer disease in Down syndrome, 2022, Elsevier, 149–172.
Doucet, G.E., Lee, W.H., Frangou, S., Evaluation of the spatial variability in the major resting-state networks across human brain functional atlases. Hum Brain Mapp 40 (2019), 4577–4587, 10.1002/hbm.24722.
Driessen, R.S., Raijmakers, P.G., Stuijfzand, W.J., et al. Myocardial perfusion imaging with PET. Int J Cardiovasc Imaging 33 (2017), 1021–1031.
Dworetsky, A., Seitzman, B.A., Adeyemo, B., et al. Probabilistic mapping of human functional brain networks identifies regions of high group consensus. Neuroimage, 118164, 2020, 10.1101/2020.09.28.313791.
Edlow, B.L., Chatelle, C., Spencer, C.A., et al. Early detection of consciousness in patients with acute severe traumatic brain injury. Brain 140 (2017), 2399–2414, 10.1093/awx209.
Edlow, B.L., Claassen, J., Schiff, N.D., et al. Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies. Nat Rev Neurol 17 (2021), 135–156.
Edlow, B.L., Fecchio, M., Bodien, Y.G., et al. Measuring consciousness in the intensive care unit. Neurocrit Care, 2023, 10.1007/s12028-023-01706-4.
Estraneo, A., Moretta, P., Loreto, V., et al. Late recovery after traumatic, anoxic, or hemorrhagic long-lasting vegetative state. Neurology 75 (2010), 239–245.
Estraneo, A., Magliacano, A., Fiorenza, S., et al. Risk factors for 2-year mortality in patients with prolonged disorders of consciousness: an international multicentre study. Eur J Neurol 29 (2022), 390–399, 10.1111/ene.15143.
Fahlström, M., Appel, L., Kumlien, E., et al. Evaluation of arterial spin labeling MRI—comparison with 15O-water PET on an integrated PET/MR scanner. Diagnostics, 11, 2021, 10.3390/diagnostics11050821.
Faskowitz, J., Esfahlani, F.Z., Jo, Y., et al. Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture. Nat Neurosci 23 (2020), 1644–1654, 10.1038/s41593-020-00719-y.
Fernández-Espejo, D., Junque, C., Vendrell, P., et al. Cerebral response to speech in vegetative and minimally conscious states after traumatic brain injury. Brain Inj 22 (2008), 882–890.
Fernández-Espejo, D., Bekinschtein, T., Monti, M.M., et al. Diffusion weighted imaging distinguishes the vegetative state from the minimally conscious state. Neuroimage 54 (2011), 103–112.
Fernández-Espejo, D., Soddu, A., Cruse, D., et al. A role for the default mode network in the bases of disorders of consciousness. Ann Neurol 72 (2012), 335–343, 10.1002/ana.23635.
Forgacs, P.B., Conte, M.M., Fridman, E.A., et al. Preservation of electroencephalographic organization in patients with impaired consciousness and imaging-based evidence of command-following. Ann Neurol 76 (2014), 869–879.
Fridman, E.A., Osborne, J.R., Mozley, P.D., et al. Presynaptic dopamine deficit in minimally conscious state patients following traumatic brain injury. Brain 142 (2019), 1887–1893, 10.1093/brain/awz118.
Friston, K.J., Frith, C.D., Liddle, P.F., et al. Functional connectivity: the principal-component analysis of large (PET) data sets. J Cereb Blood Flow Metab 13 (1993), 5–14.
Galanaud, D., Perlbarg, V., Gupta, R., et al. Assessment of white matter injury and outcome in severe brain trauma: a prospective multicenter cohort. Anesthesiology 117 (2012), 1300–1310.
Gerdes, J.S., Walther, E.U., Jaganjac, S., et al. Early detection of widespread progressive brain injury after cardiac arrest: a single case DTI and post-mortem histology study. PLoS One, 9, 2014, e92103.
Giacino, J.T., Hirsch, J., Schiff, N., et al. Functional neuroimaging applications for assessment and rehabilitation planning in patients with disorders of consciousness. Arch Phys Med Rehabil 87 (2006), S67–S76, 10.1016/j.apmr.2006.07.272.
Giacino, J.T., Katz, D.I., Schiff, N.D., et al. Practice guideline update recommendations summary: disorders of consciousness. Neurology 91 (2018), 450–460, 10.1212/wnl.0000000000005926.
Gibson, R.M., Gonzalez-Lara, L.E., Ferna¡ndez-Espejo, D., et al. Multiple tasks and neuroimaging modalities increase the likelihood of detecting covert awareness in patients with disorders of consciousness. Front Hum Neurosci 8 (2014), 1–9, 10.3389/fnhum.2014.00950.
Gibson, R.M., Chennu, S., Fernández-Espejo, D., et al. Somatosensory attention identifies both overt and covert awareness in disorders of consciousness. Ann Neurol 80 (2016), 412–423, 10.1002/ana.24726.
Goldfine, A.M., Schiff, N.D., What is the role of brain mechanisms underlying arousal in recovery of motor function after structural brain injuries?. Curr Opin Neurol, 24, 2011, 564.
Goodwin, L., Use of MRI in prediction of recovery from persistent vegetative state. J Insur Med (New York, NY) 30 (1998), 113–114.
Gosseries, O., Zasler, N.D., Laureys, S., Recent advances in disorders of consciousness: focus on the diagnosis. Brain Inj 28 (2014), 1141–1150, 10.3109/02699052.2014.920522.
Greicius, M.D., Krasnow, B., Reiss, A.L., et al. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci U S A 100 (2003), 253–258, 10.1073/pnas.0135058100.
Grill, J.D., Di, L., Lu, P.H., et al. Estimating sample sizes for pre-dementia Alzheimer's trials based on the Alzheimer's Disease Neuroimaging Initiative. Neurobiol Aging 34 (2013), 62–72, 10.1016/j.neurobiolaging.2012.03.006.Estimating.
Guedj, E., Varrone, A., Boellaard, R., et al. EANM procedure guidelines for brain PET imaging using [18F] FDG, version 3. Eur J Nucl Med Mol Imaging 49 (2022), 632–651.
Guldenmund, P., Soddu, A., Baquero, K., et al. Structural brain injury in patients with disorders of consciousness: a voxel-based morphometry study. Brain Inj 30 (2016), 343–352, 10.3109/02699052.2015.1118765.
Hagmann, P., Cammoun, L., Gigandet, X., et al. Mapping the structural core of human cerebral cortex. PLoS Biol, 6, 2008, e159, 10.1371/journal.pbio.0060159.
Hahn, A., Lanzenberger, R., Kasper, S., Making sense of connectivity. Int J Neuropsychopharmacol 22 (2019), 194–207, 10.1093/ijnp/pyy100.
Hammond, F.M., Giacino, J.T., Nakase Richardson, R., et al. Disorders of consciousness due to traumatic brain injury: functional status ten years post-injury. J Neurotrauma 36 (2019), 1136–1146.
Hannawi, Y., Lindquist, M., Caffo, B., et al. Resting brain activity in disorders of consciousness. Neurology 84 (2015), 1272–1280.
Haugg, A., Cusack, R., Gonzalez-Lara, L.E., et al. Do patients thought to lack consciousness retain the capacity for internal as well as external awareness?. Front Neurol 9 (2018), 1–13, 10.3389/fneur.2018.00492.
Haupt, W.F., Hansen, H.C., Janzen, R.W.C., et al. Coma and cerebral imaging. vol. 4, 2015, SpringerPlus, 1–11.
He, F., Sullender, C.T., Zhu, H., et al. Multimodal mapping of neural activity and cerebral blood flow reveals long-lasting neurovascular dissociations after small-scale strokes. Sci Adv, 6, 2020, eaba1933.
Heelmann, V., Lippert-Grüner, M., Rommel, T., et al. Abnormal functional MRI BOLD contrast in the vegetative state after severe traumatic brain injury. Int J Rehabil Res 33 (2010), 151–157.
Hermann, B., Raimondo, F., Hirsch, L., et al. Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness. Sci Rep 10 (2020), 1–16, 10.1038/s41598-020-61180-2.
Hermann, B., Stender, J., Habert, M.O., et al. Multimodal FDG-PET and EEG assessment improves diagnosis and prognostication of disorders of consciousness. NeuroImage Clin, 30, 2021, 10.1016/j.nicl.2021.102601.
Heurling, K., Leuzy, A., Jonasson, M., et al. Quantitative positron emission tomography in brain research. Brain Res 1670 (2017), 220–234, 10.1016/j.brainres.2017.06.022.
Hillman, E.M.C.C., Coupling mechanism and significance of the BOLD signal: a status report. Annu Rev Neurosci 37 (2014), 161–181, 10.1146/annurev-neuro-071013-014111.
Hoelper, B.M., Soldner, F., Choné, L., et al. Effect of intracerebral lesions detected in early MRI on outcome after acute brain injury. Acta Neurochir Suppl 76 (2000), 265–267, 10.1007/978-3-7091-6346-7_54 PMID: 11450021.
Howarth, C., Gleeson, P., Attwell, D., Updated energy budgets for neural computation in the neocortex and cerebellum. J Cereb Blood Flow Metab 32 (2012), 1222–1232, 10.1038/jcbfm.2012.35.
Huang, Z., Dai, R., Wu, X., et al. The self and its resting state in consciousness: an investigation of the vegetative state. Hum Brain Mapp 35 (2014), 1997–2008, 10.1002/hbm.22308.
Huisman, T.A.G.M., Sorensen, A.G., Hergan, K., et al. Diffusion-weighted imaging for the evaluation of diffuse axonal injury in closed head injury. J Comput Assist Tomogr 27 (2003), 5–11.
Huisman, T.A.G.M., Loenneker, T., Barta, G., et al. Quantitative diffusion tensor MR imaging of the brain: field strength related variance of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) scalars. Eur Radiol 16 (2006), 1651–1658.
Imataka, G., Arisaka, O., An infant with steroid-refractory cytomegalovirus-associated ADEM who responded to immunoglobulin therapy. Eur Rev Med Pharmacol Sci 18 (2014), 2148–2151.
Ismail, F.Y., Saleem, G.T., Ljubisavljevic, M.R., Brain data in pediatric disorders of consciousness: special considerations. J Clin Neurophysiol 39 (2022), 49–58.
Jones, D.K., Dardis, R., Ervine, M., et al. Cluster analysis of diffusion tensor magnetic resonance images in human head injury. Neurosurgery 47 (2000), 306–314.
Kampfl, A., Schmutzhard, E., Franz, G., et al. Prediction of recovery from post-traumatic vegetative state with cerebral magnetic-resonance imaging. Lancet 351 (1998), 1763–1767.
Katz, D.I., Polyak, M., Coughlan, D., et al. 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 177 (2009), 73–88, 10.1016/S0079-6123(09)17707-5.
Kaushik, A., Jaimini, A., Tripathi, M., et al. Estimation of radiation dose to patients from 18FDG whole body PET/CT investigations using dynamic PET scan protocol. Indian J Med Res 142 (2015), 721–731, 10.4103/0971-5916.174563.
Keifer, O.P. Jr., Hurt, R.C., Gutman, D.A., et al. Voxel-based morphometry predicts shifts in dendritic spine density and morphology with auditory fear conditioning. Nat Commun 6 (2015), 1–12.
Khalili, H., Rakhsha, A., Ghaedian, T., et al. Application of brain perfusion SPECT in the evaluation of response to zolpidem therapy in consciousness disorder due to traumatic brain injury. Indian J Nucl Med, 35, 2020, 315.
Kim, Y.W., Shin, J.-C., An, Y., Effects of methylphenidate on cerebral glucose metabolism in patients with impaired consciousness after acquired brain injury. Clin Neuropharmacol 32 (2009), 335–339.
Kirsch, M., Guldenmund, P., Ali Bahri, M., et al. Sedation of patients with disorders of consciousness during neuroimaging: effects on resting state functional brain connectivity. Anesth Analg 124 (2017), 588–598.
Kondziella, D., Friberg, C.K., Frokjaer, V.G., et al. Preserved consciousness in vegetative and minimal conscious states: systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 87 (2016), 485–492, 10.1136/jnnp-2015-310958.
Kondziella, D., Fisher, P.M., Larsen, V.A., et al. Functional MRI for assessment of the default mode network in acute brain injury. Neurocrit Care 27 (2017), 401–406.
Kondziella, D., Bender, A., Diserens, K., et al. European Academy of Neurology guideline on the diagnosis of coma and other disorders of consciousness. Eur J Neurol 27 (2020), 741–756, 10.1111/ene.14151.
Kotchoubey, B., Yu, T., Mueller, F., et al. True or false? Activations of language-related areas in patients with disorders of consciousness. Curr Pharm Des 20 (2014), 4239–4247.
Kremer, S., Nicolas-Ong, C., Schunck, T., et al. Usefulness of functional MRI associated with PET scan and evoked potentials in the evaluation of brain functions after severe brain injury: preliminary results. J Neuroradiol 37 (2010), 159–166.
Larsen, P.D., Gupta, N.C., Lefkowitz, D.M., et al. PET of infant in persistent vegetative state. Pediatr Neurol 9 (1993), 323–326, 10.1016/0887-8994(93)90074-M.
Laureys, S., Goldman, S., Phillips, C., et al. Impaired effective cortical connectivity in vegetative state: preliminary investigation using PET. Neuroimage 9 (1999), 377–382, 10.1006/nimg.1998.0414.
Laureys, S., Lemaire, C., Maquet, P., et al. Cerebral metabolism during vegetative state and after recovery to consciousness. J Neurol Neurosurg Psychiatry, 67, 1999, 121, 10.1136/jnnp.67.1.121.
Laureys, S., Faymonville, M., Del Fiore, G., et al. Brain activation during somatosensory and auditory stimulation in acute vegetative state of anoxic origin. Gjedde, A., Hansen, S.B., Knudsen, G.M., Paulson, O.B., (eds.) Physiological imaging of the brain with PET, 2000.
Laureys, S., Faymonville, M.E., Degueldre, C., et al. Auditory processing in the vegetative state. Brain 123 (2000), 1589–1601, 10.1093/brain/123.8.1589.
Laureys, S., Antoine, S., Boly, M., et al. Brain function in the vegetative state. Acta Neurol Belg 102 (2002), 176–185.
Laureys, S., Faymonville, M.-E., Peigneux, P., et al. Cortical processing of noxious somatosensory stimuli in the persistent vegetative state. Neuroimage 17 (2002), 732–741.
Laureys, S., Owen, A.M., Schiff, N.D., Brain function in coma, vegetative state, and related disorders. Lancet Neurol 18 (2004), 726–733, 10.1016/S1474-4422(04)00852-X.
Laureys, S., Perrin, F., Faymonville, M.-E., et al. Cerebral processing in the minimally conscious state. Neurology 63 (2004), 916–918.
Lee, D.S., Kang, H., Kim, H., et al. Metabolic connectivity by interregional correlation analysis using statistical parametric mapping (SPM) and FDG brain PET; methodological development and patterns of metabolic connectivity in adults. Eur J Nucl Med Mol Imaging 35 (2008), 1681–1691, 10.1007/s00259-008-0808-z.
Lee, M., Sanz, L.R.D., Barra, A., et al. Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning. Nat Commun 13 (2022), 1–14, 10.1038/s41467-022-28451-0.
Lemaire, J.J., Sontheimer, A., Pereira, B., et al. Deep brain stimulation in five patients with severe disorders of consciousness. Ann Clin Transl Neurol 5 (2018), 1372–1384, 10.1002/acn3.648.
Levy, D.E., Sidtis, J.J., Rottenberg, D.A., et al. Differences in cerebral blood flow and glucose utilization in vegetative versus locked-in patients. Ann Neurol 22 (1987), 673–682, 10.1002/ana.410220602.
Li, L., Kang, X., Qi, S., et al. Brain response to thermal stimulation predicts outcome of patients with chronic disorders of consciousness. Clin Neurophysiol 126 (2015), 1539–1547.
Liem, N.T., Chinh, V.D., Phuong, D.T.M., et al. Outcomes of bone marrow-derived mononuclear cell transplantation for patients in persistent vegetative state after drowning: report of five cases. Front Pediatr, 8, 2020, 10.3389/fped.2020.00564.
Liu, A.A., Voss, H.U., Dyke, J.P., et al. Arterial spin labeling and altered cerebral blood flow patterns in the minimally conscious state. Neurology 77 (2011), 1518–1523.
Luppi, A.I., Cain, J., Spindler, L.R.B., et al. Mechanisms underlying disorders of consciousness: bridging gaps to move toward an integrated translational science. Neurocrit Care 35 (2021), 37–54.
Lutkenhoff, E.S., Chiang, J., Tshibanda, L., et al. Thalamic and extrathalamic mechanisms of consciousness after severe brain injury. Ann Neurol 78 (2015), 68–76, 10.1002/ana.24423.
Luyt, C.-E., Galanaud, D., Perlbarg, V., et al. Diffusion tensor imaging to predict long-term outcome after cardiac arrest: a bicentric pilot study. Anesthesiology 117 (2012), 1311–1321.
Machado, C., Korein, J., Aubert, E., et al. Recognizing a mother's voice in the persistent vegetative state. Clin EEG Neurosci 38 (2007), 124–126, 10.1177/155005940703800306.
Margulies, D.S., Ghosh, S.S., Goulas, A., et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc Natl Acad Sci U S A 113 (2016), 12574–12579, 10.1073/pnas.1608282113.
Martínez, D.E., Rudas, J., Demertzi, A., et al. Reconfiguration of large-scale functional connectivity in patients with disorders of consciousness. Brain Behav, 10, 2020, e1476.
McCrea, M.A., Giacino, J.T., Barber, J., et al. Functional outcomes over the first year after moderate to severe traumatic brain injury in the prospective, longitudinal TRACK-TBI study. JAMA Neurol 78 (2021), 982–992, 10.1001/jamaneurol.2021.2043.
Medina Carrion, J.P., Stanziano, M., D'Incerti, L., et al. Disorder of consciousness: structural integrity of brain networks for the clinical assessment. Ann Clin Transl Neurol, 2023, 384–396, 10.1002/acn3.51729.
Menon, D.K., Owen, A.M., Williams, E.J., et al. Cortical processing in persistent vegetative state. Lancet, 352, 1998, 200, 10.1016/S0140-6736(05)77805-3.
Mintun, M.A., Raichle, M.E., Kilbourn, M.R., et al. A quantitative model for the in vivo assessment of drug binding sites with positron emission tomography. Ann Neurol 15 (1984), 217–227, 10.1002/ana.410150302.
Molteni, E., Rocca, M.A., Strazzer, S., et al. A diffusion tensor magnetic resonance imaging study of paediatric patients with severe non-traumatic brain injury. Dev Med Child Neurol 59 (2017), 199–206.
Molteni, E., Canas, L.S.S., Briand, M.-M., et al. Scoping review on the diagnosis, prognosis, and treatment of pediatric disorders of consciousness. Neurology 101 (2023), e581–e593.
Monti, M.M., Vanhaudenhuyse, A., Coleman, M.R., et al. Willful modulation of brain activity in disorders of consciousness. N Engl J Med 362 (2010), 579–589.
Monti, M.M., Rosenberg, M., Finoia, P., et al. Thalamo-frontal connectivity mediates top-down cognitive functions in disorders of consciousness. Neurology 84 (2015), 167–173.
Morbelli, S., Garibotto, V., Van De Giessen, E., et al. A Cochrane review on brain [18F] FDG PET in dementia: limitations and future perspectives. Eur J Nucl Med Mol Imaging 42 (2015), 1487–1491.
Moritz, C.H., Rowley, H.A., Haughton, V.M., et al. Functional MR imaging assessment of a non-responsive brain injured patient. Magn Reson Imaging 19 (2001), 1129–1132, 10.1016/S0730-725X(01)00432-5.
Naccache, L., Minimally conscious state or cortically mediated state?. Brain 141 (2018), 949–960.
Nakase-Richardson, R., Whyte, J., Giacino, J.T., et al. Longitudinal outcome of patients with disordered consciousness in the NIDRR TBI model systems programs. J Neurotrauma 29 (2012), 59–65, 10.1089/neu.2011.1829.
Nayak, P., Mahapatra, A., Single photon emission computed tomography scanning: a predictor of outcome in vegetative state of head injury. J Neurosci Rural Pract 2 (2011), 12–16, 10.4103/0976-3147.80079.
Nekrasova, J., Kanarskii, M., Borisov, I., et al. Two-year outcomes of patients with prolonged disorders of consciousness: a prospective cohort study in Russian Federation. Ann Palliat Med 11 (2022), 3160–3170, 10.21037/apm-22-403.
Newcombe, V.F.J., Williams, G.B., Scoffings, D., et al. Aetiological differences in neuroanatomy of the vegetative state: insights from diffusion tensor imaging and functional implications. J Neurol Neurosurg Psychiatry 81 (2010), 552–561.
Nicholas, C.R., McLaren, D.G., Gawrysiak, M.J., et al. Functional neuroimaging of personally-relevant stimuli in a paediatric case of impaired awareness. Brain Inj 28 (2014), 1135–1138.
Nigri, A., Ferraro, S., Bruzzone, M.G., et al. Central olfactory processing in patients with disorders of consciousness. Eur J Neurol 23 (2016), 605–612.
Nigri, A., Catricalà, E., Ferraro, S., et al. The neural correlates of lexical processing in disorders of consciousness. Brain Imaging Behav 11 (2017), 1526–1537.
Okumura, Y., Asano, Y., Takenaka, S., et al. Brain activation by music in patients in a vegetative or minimally conscious state following diffuse brain injury. Brain Inj 28 (2014), 944–950.
Owen, A.M., Menon, D.K., Johnsrude, I.S., et al. Detecting residual cognitive function in persistent vegetative state. Neurocase 123 (2002), 1589–1601, 10.1093/neucas/8.5.394.
Owen, A.M., Coleman, M.R., Menon, D.K., et al. Residual auditory function in persistent vegetative state: a combined PET and fMRI study. Neuropsychol Rehabil 15 (2005), 290–306, 10.1080/09602010443000579.
Owen, A.M., Coleman, M.R., Boly, M., et al. Detecting awareness in the vegetative state. Science, 313, 2006, 1402, 10.1126/science.1130197.
Owen, A.M., Coleman, M.R., Boly, M., et al. Using functional magnetic resonance imaging to detect covert awareness in the vegetative state. Arch Neurol 64 (2007), 1098–1102, 10.1001/archneur.64.8.1098.
Panda, R., Thibaut, A., Lopez-Gonzalez, A., et al. Disruption in structural–functional network repertoire and time-resolved subcortical fronto-temporoparietal connectivity in disorders of consciousness. eLife, 11, 2022, e77462, 10.7554/eLife.77462.
Pape, T.L.-B., Rosenow, J.M., Steiner, M., et al. Placebo-controlled trial of familiar auditory sensory training for acute severe traumatic brain injury: a preliminary report. Neurorehabil Neural Repair 29 (2015), 537–547.
Phillips, C.L., Bruno, M.A., Maquet, P., et al. “Relevance vector machine” consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients. Neuroimage 56 (2011), 797–808, 10.1016/j.neuroimage.2010.05.083.
Posner, J.B., Saper, C.B., Schiff, N.D., et al. Plum and Posner's diagnosis and treatment of stupor and coma. 2019, Oxford University Press.
Presotto, L., Iaccarino, L., Sala, A., et al. Low-dose CT for the spatial normalization of PET images: a validation procedure for amyloid-PET semi-quantification. NeuroImage Clin 20 (2018), 153–160, 10.1016/j.nicl.2018.07.013.
Qin, P., Di, H., Liu, Y., et al. Anterior cingulate activity and the self in disorders of consciousness. Hum Brain Mapp 31 (2010), 1993–2002.
Qin, P., Wu, X.X., Huang, Z., et al. How are different neural networks related to consciousness?. Ann Neurol 78 (2015), 594–605, 10.1002/ana.24479.
Qin, P., Wu, X., Duncan, N.W., et al. GABAA receptor deficits predict recovery in patients with disorders of consciousness: a preliminary multimodal [11C]flumazenil PET and fMRI study. Hum Brain Mapp 36 (2015), 3867–3877.
Raguž, M., Predrijevac, N., Dlaka, D., et al. Structural changes in brains of patients with disorders of consciousness treated with deep brain stimulation. Sci Rep 11 (2021), 1–11, 10.1038/s41598-021-83873-y.
Rodriguez Moreno, D., Schiff, N.D., Giacino, J., et al. A network approach to assessing cognition in disorders of consciousness. Neurology 75 (2010), 1871–1878, 10.1212/WNL.0b013e3181feb259.
Rodriguez-Rojas, R., Machado, C., Alvarez, L., et al. Zolpidem induces paradoxical metabolic and vascular changes in a patient with PVS. Brain Inj 27 (2013), 1320–1329.
Roguski, M., Morel, B., Sweeney, M., et al. Magnetic resonance imaging as an alternative to computed tomography in select patients with traumatic brain injury: a retrospective comparison. J Neurosurg Pediatr 15 (2015), 529–534, 10.3171/2014.10.PEDS14128 Epub 2015 Feb 20, PMID: 25700122.
Roine, R.O., Launes, J., Nikkinen, P., et al. Regional cerebral blood flow after human cardiac arrest: a hexamethylpropyleneamine oxime single photon emission computed tomographic study. Arch Neurol 48 (1991), 625–629.
Rosazza, C., Andronache, A., Sattin, D., et al. Multimodal study of default-mode network integrity in disorders of consciousness. Ann Neurol 79 (2016), 841–853, 10.1002/ana.24634.
Royal College of Physicians, Prolonged disorders of consciousness following sudden onset brain injury. National clinical guidelines, 2020, Royal College of Physicians, London.
Rudas, J., Martínez, D., Castellanos, G., et al. Time-delay latency of resting-state blood oxygen level-dependent signal related to the level of consciousness in patients with severe consciousness impairment. Brain Connect 10 (2020), 83–94.
Rudolf, J., Sobesky, J., Ghaemi, M., et al. The correlation between cerebral glucose metabolism and benzodiazepine receptor density in the acute vegetative state. Eur J Neurol 9 (2002), 671–677, 10.1046/j.1468-1331.2002.00468.x.
Sala, A., Perani, D., Brain molecular connectivity in neurodegenerative diseases: recent advances and new perspectives using positron emission tomography. Front Neurosci, 13, 2019, 617.
Sala, A., Schindele, A., Beliy, N., et al. An automated FDG-PET pipeline for the analysis of glucose brain metabolism in disorders of consciousness. J Cereb Blood Flow Metab 42 (2022), 108–273.
Sala, A., Lizarraga, A., Caminiti, S.P., et al. Brain connectomics: time for a molecular imaging perspective?. Trends Cogn Sci, 2023, 1–14, 10.1016/j.tics.2022.11.015.
Sato, M., Kuroda, R., Ioku, M., et al. Regional cerebral blood flow in the persistent vegetative state. Neurol Med Chir (Tokyo) 29 (1989), 389–394.
Savio, A., Fünger, S., Tahmasian, M., et al. Resting-state networks as simultaneously measured with functional MRI and PET. J Nucl Med 58 (2017), 1314–1317, 10.2967/jnumed.116.185835.
Sazbon, L., Groswasser, Z., Outcome in 134 patients with prolonged posttraumatic unawareness. Part 1: parameters determining late recovery of consciousness. J Neurosurg 72 (1990), 75–80, 10.3171/jns.1990.72.1.0075.
Schiff, N.D., Cognitive motor dissociation following severe brain injuries. JAMA Neurol 72 (2015), 1413–1415.
Schnakers, C., Vanhaudenhuyse, A., Giacino, J., et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment. BMC Neurol, 9, 2009, 10.1186/1471-2377-9-35.
Seret, A., Nguyen, D., Bernard, C., Quantitative capabilities of four state-of-the-art SPECT-CT cameras. EJNMMI Res 2 (2012), 1–19.
Sharon, H., Pasternak, Y., Ben Simon, E., et al. Emotional processing of personally familiar faces in the vegetative state. PLoS One, 8, 2013, e74711.
Shiina, G., Onuma, T., Kameyama, M., et al. Sequential assessment of cerebral blood flow in diffuse brain injury by 123I-iodoamphetamine single-photon emission CT. Am J Neuroradiol 19 (1998), 297–302.
Smith, E., Delargy, M., Locked-in syndrome. BMJ 330 (2005), 406–409.
Smith, S.M., Fox, P.T., Miller, K.L., et al. Correspondence of the brain's functional architecture during activation and rest. Proc Natl Acad Sci U S A 106 (2009), 13040–13045, 10.1073/pnas.0905267106.
Snider, S.B., Bodien, Y.G., Bianciardi, M., et al. Disruption of the ascending arousal network in acute traumatic disorders of consciousness. Neurology 93 (2019), e1281–e1287.
Snider, S.B., Bodien, Y.G., Frau-Pascual, A., et al. Ascending arousal network connectivity during recovery from traumatic coma. NeuroImage Clin, 28, 2020, 102503.
Soddu, A., Vanhaudenhuyse, A., Bahri, M.A., et al. Identifying the default-mode component in spatial IC analyses of patients with disorders of consciousness. Hum Brain Mapp 33 (2012), 778–796, 10.1002/hbm.21249.
Sokoloff, L., Relation between physiological function and energy metabolism in the central nervous system. J Neurochem 29 (1977), 13–26, 10.1111/j.1471-4159.1977.tb03919.x.
Sokoloff, L., Localization of functional activity in the central nervous system by measurement of glucose utilization with radioactive deoxyglucose. J Cereb Blood Flow Metab 1 (1981), 7–36.
Song, M., Yang, Y., He, J., et al. Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics. eLife, 7, 2018, 10.7554/eLife.36173.
Sporns, O., Tononi, G., Kötter, R., The human connectome: a structural description of the human brain. PLoS Comput Biol, 1, 2005, e42, 10.1371/journal.pcbi.0010042.
Staffen, W., Kronbichler, M., Aichhorn, M., et al. Selective brain activity in response to one's own name in the persistent vegetative state. J Neurol Neurosurg Psychiatry 77 (2006), 1383–1384, 10.1136/jnnp.2006.095166.
Stafford, C.A., Owen, A.M., Fernández-Espejo, D., The neural basis of external responsiveness in prolonged disorders of consciousness. Neuroimage Clin, 22, 2019, 101791.
Stender, J., Gosseries, O., Bruno, M.A., et al. Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study. Lancet 384 (2014), 514–522, 10.1016/S0140-6736(14)60042-8.
Stender, J., Kupers, R., Rodell, A., et al. Quantitative rates of brain glucose metabolism distinguish minimally conscious from vegetative state patients. J Cereb Blood Flow Metab 35 (2015), 58–65, 10.1038/jcbfm.2014.169.
Stender, J., Mortensen, K.N.N., Thibaut, A., et al. The minimal energetic requirement of sustained awareness after brain injury. Curr Biol 26 (2016), 1494–1499, 10.1016/j.cub.2016.04.024.
Steppacher, I., Kaps, M., Kissler, J., Against the odds: a case study of recovery from coma after devastating prognosis. Ann Clin Transl Neurol 3 (2016), 61–65, 10.1002/acn3.269.
Stoessl, A.J., Glucose utilization: still in the synapse. Nat Neurosci 20 (2017), 382–384, 10.1038/nn.4513.
Tan, X., Zhou, Z., Gao, J., et al. White matter connectometry in patients with disorders of consciousness revealed by 7-Tesla magnetic resonance imaging. Brain Imaging Behav 16 (2022), 1983–1991, 10.1007/s11682-022-00668-z.
Thibaut, A., Bruno, M.A., Chatelle, C., et al. Metabolic activity in external and internal awareness networks in severely brain-damaged patients. J Rehabil Med 44 (2012), 487–494, 10.2340/16501977-0940.
Thibaut, A., Schiff, N., Giacino, J., et al. Therapeutic interventions in patients with prolonged disorders of consciousness. Lancet Neurol 18 (2019), 600–614.
Thibaut, A., Panda, R., Annen, J., et al. Preservation of brain activity in unresponsive patients identifies MCS star. Ann Neurol 90 (2021), 89–100.
Threlkeld, Z.D., Bodien, Y.G., Rosenthal, E.S., et al. Functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury. Cortex 106 (2018), 299–308.
Turkheimer, F.E., Veronese, M., Dunn, J., Experimental design and practical data analysis in positron emission tomography. 2014, CreateSpace.
Usami, N., Asano, Y., Ikegame, Y., et al. Cerebral glucose metabolism in patients with chronic disorders of consciousness. Can J Neurol Sci, 2022, 1–11, 10.1017/cjn.2022.301.
van den Heuvel, M.P., Sporns, O., A cross-disorder connectome landscape of brain dysconnectivity. Nat Rev Neurosci 20 (2019), 435–446, 10.1038/s41583-019-0177-6.
Vanhaudenhuyse, A., Noirhomme, Q., Tshibanda, L.J.-F., et al. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 133 (2010), 161–171.
Vanhaudenhuyse, A., Demertzi, A., Schabus, M., et al. Two distinct neuronal networks mediate the awareness of environment and of self. J Cogn Neurosci 23 (2011), 570–578, 10.1162/jocn.2010.21488.
Vanhaudenhuyse, A., Charland-Verville, V., Thibaut, A., et al. Conscious while being considered in an unresponsive wakefulness syndrome for 20 years. Front Neurol, 9, 2018, 671, 10.3389/fneur.2018.00671.
Varley, T.F., Craig, M., Adapa, R., et al. Fractal dimension of cortical functional connectivity networks & severity of disorders of consciousness. PLoS One, 15, 2020, e0223812.
Varnäs, K., Varrone, A., Farde, L., Modeling of PET data in CNS drug discovery and development. J Pharmacokinet Pharmacodyn 40 (2013), 267–279, 10.1007/s10928-013-9320-6.
Velly, L., Perlbarg, V., Boulier, T., et al. Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study. Lancet Neurol 17 (2018), 317–326.
Vitello, M.M., Szymkowicz, E., Laureys, S., et al. Neuroimaging and neurophysiological diagnosis and prognosis in paediatric disorders of consciousness. Dev Med Child Neurol 64 (2022), 681–690.
Vogel, D., Markl, A., Yu, T., et al. Can mental imagery functional magnetic resonance imaging predict recovery in patients with disorders of consciousness?. Arch Phys Med Rehabil 94 (2013), 1891–1898.
Voss, H.U., Uluç, A.M., Dyke, J.P., et al. Possible axonal regrowth in late recovery from the minimally conscious state. J Clin Invest 116 (2006), 2005–2011.
Wald, L.L., Polimeni, J.R., High-speed, high-resolution acquisitions. Toga, A.W., (eds.) Brain mapping: an encyclopedic reference, 2015, Elsevier Inc., 103–116, 10.1016/B978-0-12-397025-1.00011-7.
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 (2015), 1–13.
Wang, F., Hu, N., Hu, X., et al. Detecting brain activity following a verbal command in patients with disorders of consciousness. Front Neurosci, 13, 2019, 976.
Wang, Y., Chen, S., Xia, X., et al. Altered functional connectivity and regional brain activity in a triple-network model in minimally conscious state and vegetative-state/unresponsive wakefulness syndrome patients: a resting-state functional magnetic resonance imaging study. Front Behav Neurosci 16 (2022), 1–9, 10.3389/fnbeh.2022.1001519.
Warwick, J.M., Imaging of brain function using SPECT. Metab Brain Dis 19 (2004), 113–123.
Whyte, J., Nakase-Richardson, R., Hammond, F.M., 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 94 (2013), 1855–1860.
Wu, X., Zou, Q., Hu, J., et al. Intrinsic functional connectivity patterns predict consciousness level and recovery outcome in acquired brain injury. J Neurosci 35 (2015), 12932–12946, 10.1523/JNEUROSCI.0415-15.2015.
Wu, B., Yang, Y., Zhou, S., et al. Could arterial spin labeling distinguish patients in minimally conscious state from patients in vegetative state?. Front Neurol, 9, 2018, 110.
Yuh, E.L., Structural imaging of traumatic brain injury. Richard, WH, (eds.) Youmans and Winn neurological surgery, 7th edn., 2017 pp. 2819–2836.e3.
