Shannon-inspired information in the clinical use of neural signals concerning post-comatose patients
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Abstract
Post-comatose patients are classified as being in a minimally conscious state when they have executive functions. Because traditional behavioral assessments may not capture signs of executive functions in post-comatose patients, clinicians look to localized brain activities in response to task instructions, such as imagining wiggling toes, to diagnose minimal consciousness. This paper critically assesses the assumption underlying such alternative methods: that brain activities are neural signals conveying information about minimal consciousness. Based on a Shannon-inspired idea of information, I distinguish between informational and engineering aspects of clinical tasks. The informational aspect concerns the conditional probability that, for example, given activity in the motor areas of the brain in response to task instructions, a patient is imagining wiggling toes. The engineering aspect concerns efficient activation of the relevant brain areas in a patient under the task conditions. This distinction shows that the current alternative methods are not informationally problematic, but are structurally “ill-formed.” For instance, the toe-imagery task requires the capacity to comprehend syntactically complex sentences, which can be dissociated from minimal consciousness. I propose a misrepresentation task, which tests the capacity to misconceptualize lukewarm water as melting wax, as a supplement to the current alternative methods. This task is as informationally reliable as these methods, but is structurally “well-formed,” as it does not rely methodologically on prerequisites such as language comprehension.
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References
Andrews, K., Murphy, L., Munday, R. and Littlewood, C., 1996. Misdiagnosis of the vegetative state: retrospective study in a rehabilitation unit. The British Medical Journal [Online], 313(7048), pp.13–16. https://doi.org/10.1136/bmj.313.7048.13.
Annett, J., 1995. Motor imagery: Perception or action? Neuropsychologia [Online], 33(11), pp.1395–1417. https://doi.org/10.1016/0028-3932(95)00072-B.
Ansell, B.J., 1993. Slow-to-recover patients: Improvement to rehabilitation readiness: Journal of Head Trauma Rehabilitation [Online], 8(3), pp.88–98. https://doi.org/10.1097/00001199-199309000-00011.
Ansell, B.J., 1995. Visual tracking behavior in low functioning head-injured adults. Archives of Physical Medicine and Rehabilitation [Online], 76(8), pp.726–731. https://doi.org/10.1016/S0003-9993(95)80526-5.
Bekinschtein, T.A. et al., 2009. Neural signature of the conscious processing of auditory regularities. Proceedings of the National Academy of Sciences [Online], 106(5), pp.1672–1677. https://doi.org/10.1073/pnas.0809667106.
Benedetti, F., Carlino, E. and Pollo, A., 2011. How Placebos Change the Patient’s Brain. Neuropsychopharmacology [Online], 36(1), pp.339–354. https://doi.org/10.1038/npp.2010.81.
Benedetti, F., Pollo, A. et al., 2003. Conscious Expectation and Unconscious Conditioning in Analgesic, Motor, and Hormonal Placebo/Nocebo Responses. The Journal of Neuroscience [Online], 23(10), pp.4315–4323. https://doi.org/10.1523/JNEUROSCI.23-10-04315.2003.
Boly, M. et al., 2011. Preserved Feedforward But Impaired Top-Down Processes in the Vegetative State. Science [Online], 332(6031), pp.858–862. https://doi.org/10.1126/science.1202043.
Bruno, M.-A. et al., 2012. Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients. Journal of Neurology [Online], 259(6), pp.1087–1098. https://doi.org/10.1007/s00415-011-6303-7.
Cohen, M.A., Ortego, K., Kyroudis, A. and Pitts, M., 2020. Distinguishing the Neural Correlates of Perceptual Awareness and Postperceptual Processing. The Journal of Neuroscience [Online], 40(25), pp.4925–4935. https://doi.org/10.1523/JNEUROSCI.0120-20.2020.
Colloca, L. and Benedetti, F., 2009. Placebo analgesia induced by social observational learning. Pain [Online], 144(1), pp.28–34. https://doi.org/10.1016/j.pain.2009.01.033.
Cruse, D. et al., 2011. Bedside detection of awareness in the vegetative state: a cohort study. The Lancet [Online], 378(9809), pp.2088–2094. https://doi.org/10.1016/S0140-6736(11)61224-5.
Di, H. et al., 2008. Neuroimaging activation studies in the vegetative state: predictors of recovery? Clinical Medicine [Online], 8(5), pp.502–507. https://doi.org/10.7861/clinmedicine.8-5-502.
Ehrsson, H.H., Geyer, S. and Naito, E., 2003. Imagery of Voluntary Movement of Fingers, Toes, and Tongue Activates Corresponding Body-Part-Specific Motor Representations. Journal of Neurophysiology [Online], 90(5), pp.3304–3316. https://doi.org/10.1152/jn.01113.2002.
van Erp, W.S., Aben, A.M.L. et al., 2019. Unexpected emergence from the vegetative state: delayed discovery rather than late recovery of consciousness. Journal of Neurology [Online], 266(12), pp.3144–3149. https://doi.org/10.1007/s00415-019-09542-3.
van Erp, W.S., Lavrijsen, J.C. et al., 2015. The Vegetative State: Prevalence, Misdiagnosis, and Treatment Limitations. Journal of the American Medical Directors Association [Online], 16(1), 85.e9–85.e14. https://doi.org/10.1016/j.jamda.2014.10.014.
Garrido, M.I., Friston, K.J. et al., 2008. The functional anatomy of the MMN: A DCM study of the roving paradigm. NeuroImage [Online], 42(2), pp.936–944. https://doi.org/10.1016/j.neuroimage.2008.05.018.
Garrido, M.I., Kilner, J.M. et al., 2009. Repetition suppression and plasticity in the human brain. NeuroImage [Online], 48(1), pp.269–279. https://doi.org/10.1016/j.neuroimage.2009.06.034.
Kärgel, C. et al., 2016. The effect of auditory and visual training on the mismatch negativity in schizophrenia. International Journal of Psychophysiology [Online], 102, pp.47–54. https://doi.org/10.1016/j.ijpsycho.2016.03.003.
King, J. et al., 2013. Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness. NeuroImage [Online], 83, pp.726–738. https://doi.org/10.1016/j.neuroimage.2013.07.013.
Kondziella, D. et al., 2016. Preserved consciousness in vegetative and minimal conscious states: systematic review and meta-analysis. Journal of Neurology, Neurosurgery & Psychiatry [Online], 87(5), pp.485–492. https://doi.org/10.1136/jnnp-2015-310958.
Kwiatkowska, A., Lech, M., Odya, P. and Czyżewski, A., 2019. Post-comatose patients with minimal consciousness tend to preserve reading comprehension skills but neglect syntax and spelling. Nature Scientific Reports [Online], 9(1), p.19929. https://doi.org/10.1038/s41598-019-56443-6.
Kycia, R., 2021. Information and brain. Philosophical Problems in Science (Zagadnienia Filozoficzne w Nauce) [Online], (70), pp.45–72. Available at: <https://zfn.edu.pl/index.php/zfn/article/view/514> [visited on 6 December 2022].
Laforge, G., Gonzalez-Lara, L.E., Owen, A.M. and Stojanoski, B., 2020. Individualized assessment of residual cognition in patients with disorders of consciousness. NeuroImage: Clinical [Online], 28, p.102472. https://doi.org/10.1016/j.nicl.2020.102472.
Li, T. et al., 2022. Brain information processing capacity modeling. Scientific Reports [Online], 12(1), p.2174. https://doi.org/10.1038/s41598-022-05870-z.
Lulé, D. et al., 2013. Probing command following in patients with disorders of consciousness using a brain–computer interface. Clinical Neurophysiology [Online], 124(1), pp.101–106. https://doi.org/10.1016/j.clinph.2012.04.030.
Monti, M.M. et al., 2010. Willful Modulation of Brain Activity in Disorders of Consciousness. New England Journal of Medicine [Online], 362(7), pp.579–589. https://doi.org/10.1056/NEJMoa0905370.
Naccache, L., 2018. Minimally conscious state or cortically mediated state? Brain [Online], 141(4), pp.949–960. https://doi.org/10.1093/brain/awx324.
Naci, L., Cusack, R., Anello, M. and Owen, A.M., 2014. A common neural code for similar conscious experiences in different individuals. Proceedings of the National Academy of Sciences [Online], 111(39), pp.14277–14282. https://doi.org/10.1073/pnas.1407007111.
Naci, L. and Owen, A.M., 2013. Making Every Word Count for Nonresponsive Patients. JAMA Neurology [Online], 70(10), pp.1235–1241. https://doi.org/10.1001/jamaneurol.2013.3686.
Neuper, C., Scherer, R., Reiner, M. and Pfurtscheller, G., 2005. Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEG. Cognitive Brain Research [Online], 25(3), pp.668–677. https://doi.org/10.1016/j.cogbrainres.2005.08.014.
Nigri, A. et al., 2017. The neural correlates of lexical processing in disorders of consciousness. Brain Imaging and Behavior [Online], 11(5), pp.1526–1537. https://doi.org/10.1007/s11682-016-9613-7.
Noh, H., 2018. No-report Paradigmatic Ascription of the Minimally Conscious State: Neural Signals as a Communicative Means for Operational Diagnostic Criteria. Minds and Machines [Online], 28(1), pp.173–189. https://doi.org/10.1007/s11023-017-9433-6.
Noh, H., 2022. Behavioral vs. Neural Methods in the Treatment of Acutely Comatose Patients. Ramon Llull Journal of Applied Ethics [Online], 1(13), pp.245–258. https://doi.org/10.34810/rljaev1n13Id398703.
Novick, B., Vaughan, H.G., Kurtzberg, D. and Simson, R., 1980. An electrophysiologic indication of auditory processing defects in autism. Psychiatry Research [Online], 3(1), pp.107–114. https://doi.org/10.1016/0165-1781(80)90052-9.
Owen, A.M. et al., 2006. Detecting Awareness in the Vegetative State. Science [Online], 313(5792), p.1402. https://doi.org/10.1126/science.1130197.
Peterson, A. and Bayne, T., 2018. Post-comatose disorders of consciousness. In: R.J. Gennaro, ed. The Routledge Handbook of Consciousness [Online], The Routledge Handbooks in Philosophy. New York: Taylor & Francis, pp.351–365. https://doi.org/10.4324/9781315676982.
Peterson, A., Cruse, D. et al., 2015. Risk, diagnostic error, and the clinical science of consciousness. NeuroImage: Clinical [Online], 7, pp.588–597. https://doi.org/10.1016/j.nicl.2015.02.008.
Pfurtscheller, G. and Neuper, C., 1997. Motor imagery activates primary sensorimotor area in humans. Neuroscience Letters [Online], 239(2-3), pp.65–68. https://doi.org/10.1016/S0304-3940(97)00889-6.
Pulvermüller, F., 2005. Brain mechanisms linking language and action. Nature Reviews Neuroscience [Online], 6(7), pp.576–582. https://doi.org/10.1038/nrn1706.
Rac-Lubashevsky, R. and Kessler, Y., 2019. Revisiting the relationship between the P3b and working memory updating. Biological Psychology [Online], 148, p.107769. https://doi.org/10.1016/j.biopsycho.2019.107769.
Raposo, A., Moss, H.E., Stamatakis, E.A. and Tyler, L.K., 2009. Modulation of motor and premotor cortices by actions, action words and action sentences. Neuropsychologia [Online], 47(2), pp.388–396. https://doi.org/10.1016/j.neuropsychologia.2008.09.017.
Rohaut, B., Eliseyev, A. and Claassen, J., 2019. Uncovering Consciousness in Unresponsive ICU Patients: Technical, Medical and Ethical Considerations. Critical Care [Online], 23(1), p.78. https://doi.org/10.1186/s13054-019-2370-4.
Schnakers, C. et al., 2009. Diagnostic accuracy of the vegetative and minimally conscious state: Clinical consensus versus standardized neurobehavioral assessment. BMC Neurology [Online], 9(1), p.35. https://doi.org/10.1186/1471-2377-9-35.
Sekiyama, K., 1983. Mental and physical movements of hands: Kinesthetic information preserved in representational systems. Japanese Psychological Research [Online], 25(2), pp.95–102. https://doi.org/10.4992/psycholres1954.25.95.
Shannon, C.E., 1948. A mathematical theory of communication. The Bell System Technical Journal [Online], 27(July 1928), pp.379–423. https://doi.org/10.1145/584091.584093.
Sun, Y. et al., 2018. Personalized objects can optimize the diagnosis of EMCS in the assessment of functional object use in the CRS-R: a double blind, randomized clinical trial. BMC Neurology [Online], 18(1), p.38. https://doi.org/10.1186/s12883-018-1040-5.
Teasdale, G. and Jennett, B., 1974. Assessment of coma and impaired consciousness. The Lancet [Online], 304(7872), pp.81–84. https://doi.org/10.1016/S0140-6736(74)91639-0.
Tracey, I. et al., 2000. Noxious hot and cold stimulation produce common patterns of brain activation in humans: a functional magnetic resonance imaging study. Neuroscience Letters [Online], 288(2), pp.159–162. https://doi.org/10.1016/S0304-3940(00)01224-6.
Vassilieva, A. et al., 2019. Automated pupillometry to detect command following in neurological patients: a proof-of-concept study. PeerJ [Online], 7, e6929. https://doi.org/10.7717/peerj.6929.
Wang, F. et al., 2019. Detecting Brain Activity Following a Verbal Command in Patients With Disorders of Consciousness. Frontiers in Neuroscience [Online], 13, p.976. https://doi.org/10.3389/fnins.2019.00976.
Weaver, W., 1953. Recent Contributions to the Mathematical Theory of Communication. ETC: A Review of General Semantics [Online], 10(4), pp.261–281. Available at: <https://www.jstor.org/stable/42581364> [visited on 20 January 2023].