The perception of emotionally significant sounds by patients with depression of consciousness remains a relevant topic. Published data indicate that subjects’ own names presented as sound signals constitute stimuli able to have an activatory effect on subjects in an unconscious state. This study examined the electrophysiological responses of patients under deep anesthesia during neurosurgical procedures to assess the influence of the depth of anesthesia on the perception of sounds, including own names, and to investigate the areas of the brain involved in their analysis. Synchronous EEG recordings were made from 12 scalp electrodes and at the level of the midbrain using two deep electrodes at rest and on presentation of sound stimuli (own name, other people’s names, and noise) in 11 patients immediately after removal of tumors from the posterior parts of the third ventricle or the fourth ventricle. The results showed that patients under deep anesthesia were able to mount responses to their own names in the form of increases in the peak frequency of the α rhythm as compared with recordings on presentation of other people’s names and noise, as well as compared with the resting EEG, both at the levels of the scalp EEG in the temporal areas and at the level of the midbrain.
Similar content being viewed by others
References
Badalova, B., “Modern methods of teaching Russian and Uzbek as a foreign language to students,” Sci. Education, No. 1, Spec. Iss. 2, (2020).
Banquet, J. P., “Spectral analysis of the EEG in meditation,” Electroencephalogr. Clin. Neurophysiol., 35, No. 2, 143–151 (1973), https://doi.org/10.1016/0013-4694(73)90170-3.
Barry, R. J., De Blasio, F. M., Fogarty, J. S., and Clarke, A. R., and “Natural alpha frequency components in resting EEG and their relation to arousal,” Clin. Neurophysiol., 131, No. 1, 205–212 (2020), https://doi.org/10.1016/j.clinph.2019.10.018.
Bastuji, H., Perrin, F., and Garcia-Larrea, L., “Semantic analysis of auditory input during sleep: studies with event related potentials,” Int. J. Psychophysiol., 46, No. 3, 243–255 (2002), https://doi.org/10.1016/s0167-8760(02)00116-2.
Boldyreva, G. N., “The hippocampal alpha-rhythm of the human brain,” Electroencephalogr. Clin. Neurophysiol., 1, No. 103, 199 (1997).
Cheng, L., Gosseries, O., Ying, L., et al., “Assessment of localisation to auditory stimulation in post-comatose states: use the patient’s own name,” BMC Neurol., 13, 27 (2013), https://doi.org/10.1186/1471-2377-13-27.
De Gennaro, L., Ferrara, M., Curcio, G., and Cristiani, R., “Anteroposterior EEG changes during the wakefulness-sleep transition,” Clin. Neurophysiol., 112, No. 10, 1901–1911 (2001), https://doi.org/10.1016/s1388-2457(01)00649-6.
di Fronso, S., Fiedler, P., Tamburro, G., et al., “Dry EEG in sports sciences: A fast and reliable tool to assess individual alpha peak frequency changes induced by physical effort,” Front. Neurosci., 13, 982 (2019), https://doi.org/10.3389/fnins.2019.00982.
Feige, B., Scheffl er, K., Esposito, F., et al., “Cortical and subcortical correlates of electroencephalographic alpha rhythm modulation,” J. Neurophysiol., 93, No. 5, 2864–2872 (2005), https://doi.org/10.1152/jn.00721.2004.
Fischer, C., Dailler, F., and Morlet, D., “Novelty P3 elicited by the subject’s own name in comatose patients,” Clin. Neurophysiol., 119, No. 10, 2224–2230 (2008), https://doi.org/10.1016/j.clinph.2008.03.035.
Freitas, S., Simoes, M. R., Maroco, J., et al., “Construct validity of the Montreal Cognitive Assessment (MoCA),” J. Int. Neurophysiol. Soc., 18, No. 2, 242–250 (2012), https://doi.org/10.1017/S1355617711001573.
Gutmann, B., Mierau, A., Hulsdunker, T., et al., “Effects of physical exercise on individual resting state EEG alpha peak frequency,” Neural Plast., 717312 (2015), https://doi.org/10.1155/2015/717312.
Gutmann, B., Zimmer, P., Hulsdunker, T., et al., “The effects of exercise intensity and post-exercise recovery time on cortical activation as revealed by EEG alpha peak frequency,” Neurosci. Lett., 668, 159-163 (2018), https://doi.org/10.1016/j.neulet.2018.01.007.
Haegens, S., Cousijn, H., Wallis, G., et al., “Inter- and intra-individual variability in alpha peak frequency,” NeuroImage, 92, No. 100, 46–55 (2014), https://doi.org/10.1016/j.neuroimage.2014.01.049.
Holeckova, I., Fischer, C., Morlet, D., et al., “Subject’s own name as a novel in a MMN design: a combined ERP and PET study,” Brain Res., 1189, 152–165 (2008), https://doi.org/10.1016/j.brainres.2007.10.091.
Holler, Y., Kronbichler, M., Bergmann, J., et al., “EEG frequency analysis of responses to the own-name stimulus,” Clin. Neurophysiol., 122, No. 1, 99–106 (2011), https://doi.org/10.1016/j.clinph.2010.05.029.
Jensen, O. and Mazaheri, A., “Shaping functional architecture by oscillatory alpha activity: gating by inhibition,” Front. Hum. Neurosci., 4, 186 (2010), https://doi.org/10.3389/fnhum.2010.00186.
Kannabiran, N. and Bidkar, P. U., “Total intravenous anesthesia in neurosurgery,” J. Neuroanaesthesiol. Crit. Care, 5, No. 3, 141–149 (2018), https://doi.org/10.1055/s-0038-1673544.
Kempny, A. M., James, L., Yelden, K., et al., “Patients with a severe prolonged disorder of consciousness can show classical EEG responses to their own name compared with others’ names,” NeuroImage Clin., 19, 311–319 (2018), https://doi.org/10.1016/j.nicl.2018.04.027.
Klimesch, W., “EEG alpha and theta oscillations refl ect cognitive and memory performance: a review and analysis,” Brain Res. Rev., 29, No. 2–3, 169–195 (1999), https://doi.org/10.1016/s0165-0173(98)00056-3.
Klimesch, W., Schimke, H. and Pfurtscheller, G., “Alpha frequency, cognitive load and memory performance,” Brain Topogr., 5, No. 3, 241–251 (1993), https://doi.org/10.1007/BF01128991.
Li, K., Fan, L., Cui, Y., et al., “The human mediodorsal thalamus: Organization, connectivity, and function,” NeuroImage, 249, 118876 (2022), https://doi.org/10.1016/j.neuroimage.2022.118876.
Luria, A. R., Higher Cortical Function in Man, Springer, New York (1980), https://doi.org/10.1007/978-1-4615-8579-4.
Manshanden, I., De Munck, J. C., Simon, N. R., and Lopes da Silva, F. H., “Source localization of MEG sleep spindles and the relation to sources of alpha band rhythms,” Clin. Neurophysiol., 113, No. 12, 1937–1947 (2002), https://doi.org/10.1016/s1388-2457(02)00304-8.
Moretti, D. V., Prestia, A., Fracassi, C., et al., “Volumetric differences in mapped hippocampal regions correlate with increase of high alpha rhythm in Alzheimer’s disease,” Int. J. Alzheimer’s Dis., 208218 (2011), https://doi.org/10.4061/2011/208218.
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 73, No. 5, pp. 622–636, September–October, 2023.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Portnova, G.V., Kantserova, A.O., Oknina, L.B. et al. Increases in the Peak Frequency of the EEG Alpha Rhythm on Presentation of Own Names during Deep Anesthesia. Neurosci Behav Physi 54, 91–101 (2024). https://doi.org/10.1007/s11055-024-01571-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11055-024-01571-4