docruДоктор.РуTitle1727-23782713-2994ООО "ГК "РУСМЕДИКАЛ"10.31550/1727-2378-2024-23-7-82-85docru-201Research ArticleОБЗОРЫREVIEWSОбъективные методы оценки мимики и эмоций в диагностике когнитивных нарушенийObjective Methods of Mimics and Emotion Assessment in Diagnostic of Cognitive Disordershttps://orcid.org/0000-0002-6164-1659ХрамченкоМ. А.KhramchenkoM. A.

Храмченко Мария Анатольевна — аспирант кафедры нервных болезней с курсом последипломного образования

г. Красноярск

Krasnoyarsk

clery6796@mail.ruhttps://orcid.org/0009-0001-3818-0153ДенисоваЕ. С.DenisovaE. S.

Денисова Елизавета Сергеевна — субординатор кафедры нервных болезней с курсом последипломного образования

г. Красноярск

Krasnoyarsk

tavolga15@mail.ruhttps://orcid.org/0009-0005-6604-9282АшихминаЮ. Н.AshikhminaYu. N.

Ашихмина Юлия Николаевна — субординатор кафедры нервных болезней с курсом последипломного образования

г. Красноярск

Krasnoyarsk

funny.man385@list.ruhttps://orcid.org/0000-0002-4778-2586ПрокопенкоС. В.ProkopenkoS. V.

Прокопенко Семён Владимирович — д. м. н., профессор, заведующий кафедрой нервных болезней с курсом последипломного образования

г. Красноярск

Krasnoyarsk

s.v.proc.58@mail.ruФГБОУ ВО «Красноярский государственный медицинский университет имени профессора В.Ф. Войно-Ясенецкого» Минздрава РоссииРоссияProfessor V.F. Voyno-Yasenetsky Krasnoyarsk State Medical UniversityRussian Federation202418022025237НЕВРОЛОГИЯ ПСИХИАТРИЯ8285Copyright © Храмченко М.А., Денисова Е.С., Ашихмина Ю.Н., Прокопенко С.В., 20252025Храмченко М.А., Денисова Е.С., Ашихмина Ю.Н., Прокопенко С.В.Khramchenko M.A., Denisova E.S., Ashikhmina Y.N., Prokopenko S.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://docru.elpub.ru/jour/article/view/201Цель обзора

Цель обзора. Представить данные о нарушениях мимики и, косвенно, эмоций у пациентов с когнитивными нарушениями, полученные на основе методов оценки мимических функций, которые применяются в научных исследованиях и клинической практике.

Основные положения

Основные положения. Когнитивные нарушения часто встречаются у пациентов с неврологическими расстройствами. В диагностике неврологических заболеваний, в том числе проявляющихся когнитивным дефицитом, большое внимание уделяется выявлению нарушений мимических функций. В анализируемых работах установлена связь между развитием нейродегенеративного процесса в определенных структурах головного мозга и нарушением выражения эмоций посредством мимики.

Заключение

Заключение. До сих пор недостаточно сведений, касающихся объективных характеристик нарушений мимики при когнитивном дефиците.

Необходимо создание единой клинической методики объективной оценки мимики и эмоций с целью выявления когнитивных нарушений.

Aim

Aim. To present the data on impaired mimics and, indirectly, emotions in patients with cognitive disorders, obtained with the methods of mimics function assessment, which are used in scientific research and clinical practice.

Key points

Key points. Cognitive disorders are common in patients with neurological deficits. In diagnostics of neural diseases, including those manifesting with cognitive deficit, it is essential to identify impaired mimic functions. The analysed studies show the association between neurodegenerative processes in certain brain structures and impaired emotions (via mimics).

Conclusion

Conclusion. There are currently insufficient data on the objective characteristics of impaired mimics in patients with cognitive deficits.

A unified clinical method should be developed for the assessment of mimics and emotions in order to identify cognitive disorders. 

мимикаэмоцииумеренные когнитивные нарушениядеменциявидеоанализ движенийmimicsemotionsmoderate cognitive disordersdementiavideo analysis of motionsReferencesИзард К.Э. Эмоции человека. Пер. с англ. М.: изд-во МГУ; 1980.Izard C. Human Emotions. M.: MSU; 1980. (in Russian).Дубинская А.Д., Кукшина А.А., Юрова О.В, Котельникова А.В. и др. Современные представления о взаимосвязи психоэмоцион ального состояния и биоэлектрической активности лицевых мышц. Вопросы курортологии, физиотерапии и лечебной физической культуры. 2019; 96(6):61–7. DOI: 10.17116/kurort20199606161Dubinskaya A.D., Kukshina A.A., Yurova O.V., Kotelnikova A.V. et al. Modern views on the relationship between psychoemotional state and the bioelectrical activity of facial muscles. Problems of balneology, physiotherapy, and exercise therapy. 2019;96(6):61–7. (in Russian). DOI: 10.17116/kurort20199606161Livingstone S.R., Vezer E., McGarry L.M., Lang A.E. et al. Deficits in the mimicry of facial expressions in Parkinson's disease. Front. Psychol. 2016;7:780. DOI: 10.3389/fpsyg.2016.00780Livingstone S.R., Vezer E., McGarry L.M., Lang A.E. et al. Deficits in the mimicry of facial expressions in Parkinson's disease. Front. Psychol. 2016;7:780. DOI: 10.3389/fpsyg.2016.00780Мосалева Е.И., Жумжанов И.М., Алексеенко П.В., Исмаилова С.Б. и др. Когнитивные флуктуации на фоне терапии у пациентов с болезнью Паркинсона. Сибирское медицинское обозрение. 2020;6:63-7. DOI: 10.20333/2500136-2020-6-63-67Mosaleva E.I., Zhumzhanov I.M., Alekseenko P.V., Ismailova S.B. et al. Cognitive fluctuations associated with therapy in patients with Parkinson diseases. Siberian Medical Review. 2020;6:63–7. (in Russian). DOI: 10.20333/2500136-2020-6-63-67Burton K.W., Kaszniak A.W. Emotional experience and facial expression in Alzheimer's disease. Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn. 2006;13(3–4):636–51. DOI: 10.1080/13825580600735085Burton K.W., Kaszniak A.W. Emotional experience and facial expression in Alzheimer's disease. Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn. 2006;13(3–4):636–51. DOI: 10.1080/13825580600735085Liu X., Hildebrandt A., Recio G., Sommer W. et al. Individual differences in the speed of facial emotion recognition show little specificity but are strongly related with general mental speed: psychometric, neural and genetic evidence. Front. Behav. Neurosci. 2017;11:149. DOI: 10.3389/fnbeh.2017.00149Liu X., Hildebrandt A., Recio G., Sommer W. et al. Individual differences in the speed of facial emotion recognition show little specificity but are strongly related with general mental speed: psychometric, neural and genetic evidence. Front. Behav. Neurosci. 2017;11:149. DOI: 10.3389/fnbeh.2017.00149Lin H., Müller-Bardorff M., Gathmann B., Brieke J. et al. Stimulus arousal drives amygdalar responses to emotional expressions across sensory modalities. Sci. Rep. 2020;10(1):1898. DOI: 10.1038/s41598-020-58839-1Lin H., Müller-Bardorff M., Gathmann B., Brieke J. et al. Stimulus arousal drives amygdalar responses to emotional expressions across sensory modalities. Sci. Rep. 2020;10(1):1898. DOI: 10.1038/s41598-020-58839-1Ho M.W.-R., Chien S.H.-L., Lu M.-K., Chen J.-Ch. et al. Impairments in face discrimination and emotion recognition are related to aging and cognitive dysfunctions in Parkinson's disease with dementia. Sci. Rep. 2020;10(1):4367. DOI: 10.1038/s41598-020-61310-wHo M.W.-R., Chien S.H.-L., Lu M.-K., Chen J.-Ch. et al. Impairments in face discrimination and emotion recognition are related to aging and cognitive dysfunctions in Parkinson's disease with dementia. Sci. Rep. 2020;10(1):4367. DOI: 10.1038/s41598-020-61310-wHeilman K.M., Nadeau S.E. Emotional and neuropsychiatric disorders associated with Alzheimer's disease. Neurotherapeutics. 2022;19(1):99–116. DOI: 10.1007/s13311-021-01172-wHeilman K.M., Nadeau S.E. Emotional and neuropsychiatric disorders associated with Alzheimer's disease. Neurotherapeutics. 2022;19(1):99–116. DOI: 10.1007/s13311-021-01172-wBono A.D., Twaite J.T., Krch D., McCabe D.L. et al. Mood and emotional disorders associated with parkinsonism, Huntington disease, and other movement disorders. Handb. Clin. Neurol. 2021:183:175–96. DOI: 10.1016/B978-0-12-822290-4.00015-3Bono A.D., Twaite J.T., Krch D., McCabe D.L. et al. Mood and emotional disorders associated with parkinsonism, Huntington disease, and other movement disorders. Handb. Clin. Neurol. 2021:183:175–96. DOI: 10.1016/B978-0-12-822290-4.00015-3Donaghy P.C., Barnett N., Olsen K., Taylor J.-P. et al. Symptoms associated with Lewy body disease in mild cognitive impairment. Int. J. Geriatr. Psychiatry. 2017;32(11):1163–71. DOI: 10.1002/gps.4742Donaghy P.C., Barnett N., Olsen K., Taylor J.-P. et al. Symptoms associated with Lewy body disease in mild cognitive impairment. Int. J. Geriatr. Psychiatry. 2017;32(11):1163–71. DOI: 10.1002/gps.4742Liu S., Ma R., Luo Ya., Liu P. et al. Facial expression recognition and ReHo analysis in major depressive disorder. Front. Psychol. 2021:12:688376. DOI: 10.3389/fpsyg.2021.688376Liu S., Ma R., Luo Ya., Liu P. et al. Facial expression recognition and ReHo analysis in major depressive disorder. Front. Psychol. 2021:12:688376. DOI: 10.3389/fpsyg.2021.688376Grabowski K., Rynkiewicz A., Lassalle A., Baron-Cohen S. et al. Emotional expression in psychiatric conditions: New technology for clinicians. Psychiatry Clin. Neurosci. 2019;73(2):50–62. Epub. 2018 Dec. 25. DOI: 10.1111/pcn.12799Grabowski K., Rynkiewicz A., Lassalle A., Baron-Cohen S. et al. Emotional expression in psychiatric conditions: New technology for clinicians. Psychiatry Clin. Neurosci. 2019;73(2):50–62. Epub. 2018 Dec. 25. DOI: 10.1111/pcn.12799Jiang Z., Harati S., Crowell A., Mayberg H.S. et al. Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions. IEEE Trans. Biomed. Eng. 2021;68(2):664–72. DOI: 10.1109/TBME.2020.3010472Jiang Z., Harati S., Crowell A., Mayberg H.S. et al. Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions. IEEE Trans. Biomed. Eng. 2021;68(2):664–72. DOI: 10.1109/TBME.2020.3010472Хомченкова А.А., Прокопенко С.В., Исмаилова С.Б. Клини ческие аспекты гипомимии при болезни Паркинсона. Неврол огический вестник. 2022;LIV(1):45–53. DOI: 10.17816/nb89531Khomchenkova A.A., Prokopenko S.V., Ismailova S.B. Clinical aspects of hypomimia in Parkinson’s disease. Neurology Bulletin. 2022;LIV(1):45–53. (in Russian). DOI: 10.17816/nb89531Moreira H.S., Costa A.S., Machado A., Castro S.L. et al. Impaired recognition of facial and vocal emotions in mild cognitive impairment. J. Int. Neuropsychol. Soc. 2022;28(1):48–61. Epub. 2021 Mar. 4. DOI: 10.1017/S135561772100014XMoreira H.S., Costa A.S., Machado A., Castro S.L. et al. Impaired recognition of facial and vocal emotions in mild cognitive impairment. J. Int. Neuropsychol. Soc. 2022;28(1):48–61. Epub. 2021 Mar. 4. DOI: 10.1017/S135561772100014XJiskoot L.C., Poos J.M., Vollebergh M.E., Franzen S. et al. Emotion recognition of morphed facial expressions in presymptomatic and symptomatic frontotemporal dementia, and Alzheimer's dementia. J. Neurol. 2021;268(1):102–13. Epub. 2020 Jul. 29. DOI: 10.1007/s00415-020-10096-yJiskoot L.C., Poos J.M., Vollebergh M.E., Franzen S. et al. Emotion recognition of morphed facial expressions in presymptomatic and symptomatic frontotemporal dementia, and Alzheimer's dementia. J. Neurol. 2021;268(1):102–13. Epub. 2020 Jul. 29. DOI: 10.1007/s00415-020-10096-yChen L.-Yu., Tsai T.-H., Ho A., Li Ch.-H. et al. Predicting neuropsychiatric symptoms of persons with dementia in a day care center using a facial expression recognition system. Aging (Albany NY). 2022;14(3):1280–91. DOI: 10.18632/aging.203869Chen L.-Yu., Tsai T.-H., Ho A., Li Ch.-H. et al. Predicting neuropsychiatric symptoms of persons with dementia in a day care center using a facial expression recognition system. Aging (Albany NY). 2022;14(3):1280–91. DOI: 10.18632/aging.203869Chen K.-H., Lwi S.J., Hua A.Y., Haase C.M. et al. Increased subjective experience of non-target emotions in patients with frontotemporal dementia and Alzheimer's disease. Curr. Opin. Behav. Sci. 2017:15:77–84. DOI: 10.1016/j.cobeha.2017.05.017Chen K.-H., Lwi S.J., Hua A.Y., Haase C.M. et al. Increased subjective experience of non-target emotions in patients with frontotemporal dementia and Alzheimer's disease. Curr. Opin. Behav. Sci. 2017:15:77–84. DOI: 10.1016/j.cobeha.2017.05.017Haque R.U., Manzanares C.M., Brown L.N., Pongos A.L. et al. VisMET: a passive, efficient, and sensitive assessment of visuospatial memory in healthy aging, mild cognitive impairment, and Alzheimer's disease. Learn. Mem. 2019;26(3):93–100. DOI: 10.1101/lm.048124.118Haque R.U., Manzanares C.M., Brown L.N., Pongos A.L. et al. VisMET: a passive, efficient, and sensitive assessment of visuospatial memory in healthy aging, mild cognitive impairment, and Alzheimer's disease. Learn. Mem. 2019;26(3):93–100. DOI: 10.1101/lm.048124.118Haque R.U., Pongos A.L., Manzanares C.M., Lah J.J. et al. Deep convolutional neural networks and transfer learning for measuring cognitive impairment using eye-tracking in a distributed tablet-based environment. IEEE Trans. Biomed. Eng. 2021;68(1):11–8. Epub. 2020 Dec. 21. DOI: 10.1109/TBME.2020.2990734Haque R.U., Pongos A.L., Manzanares C.M., Lah J.J. et al. Deep convolutional neural networks and transfer learning for measuring cognitive impairment using eye-tracking in a distributed tablet-based environment. IEEE Trans. Biomed. Eng. 2021;68(1):11–8. Epub. 2020 Dec. 21. DOI: 10.1109/TBME.2020.2990734Mollahosseini A., Hasani B., Mahoor M.H. AffectNet: a database for facial expression, valence, and arousal computing in the wild. IEEE Trans. Affect. Comput. 2017;10(1):18–31. DOI: 10.1109/TAFFC.2017.2740923Mollahosseini A., Hasani B., Mahoor M.H. AffectNet: a database for facial expression, valence, and arousal computing in the wild. IEEE Trans. Affect. Comput. 2017;10(1):18–31. DOI: 10.1109/TAFFC.2017.2740923Jiang Z., Seyedi S., Haque R.U., Pongos A.L. et al. Automated analysis of facial emotions in subjects with cognitive impairment. PLoS One. 2022;17(1):e0262527. DOI: 10.1371/journal.pone.0262527Jiang Z., Seyedi S., Haque R.U., Pongos A.L. et al. Automated analysis of facial emotions in subjects with cognitive impairment. PLoS One. 2022;17(1):e0262527. DOI: 10.1371/journal.pone.0262527Gerłowska J., Dmitruk K., Rejdak K. Facial emotion mimicry in older adults with and without cognitive impairments due to Alzheimer's disease. AIMS Neurosci. 2021;8(2):226–38. DOI: 10.3934/Neuroscience.2021012Gerłowska J., Dmitruk K., Rejdak K. Facial emotion mimicry in older adults with and without cognitive impairments due to Alzheimer's disease. AIMS Neurosci. 2021;8(2):226–38. DOI: 10.3934/Neuroscience.2021012Ma H.-I., Gunnery S.D., Stevenson M.T., Saint-Hilaire M. et al. Experienced facial masking indirectly compromises quality of life through stigmatization of women and men with Parkinson's disease. Stigma Health. 2019;4(4):462–72. DOI: 10.1037/sah0000168Ma H.-I., Gunnery S.D., Stevenson M.T., Saint-Hilaire M. et al. Experienced facial masking indirectly compromises quality of life through stigmatization of women and men with Parkinson's disease. Stigma Health. 2019;4(4):462–72. DOI: 10.1037/sah0000168Zarbakhsh P., Demirel H. Low-rank sparse coding and region of interest pooling for dynamic 3D facial expression recognition. Signal Image Video Process. 2018;12(5):1611–8. DOI: 10.1007/s11760-018-1318-5Zarbakhsh P., Demirel H. Low-rank sparse coding and region of interest pooling for dynamic 3D facial expression recognition. Signal Image Video Process. 2018;12(5):1611–8. DOI: 10.1007/s11760-018-1318-5Liu Yi., Wang Z., Yu G. The effectiveness of facial expression recognition in detecting emotional responses to sound interventions in older adults with dementia. Front. Psychol. 2021:12:707809. DOI: 10.3389/fpsyg.2021.707809Liu Yi., Wang Z., Yu G. The effectiveness of facial expression recognition in detecting emotional responses to sound interventions in older adults with dementia. Front. Psychol. 2021:12:707809. DOI: 10.3389/fpsyg.2021.707809Borgomaneri S., Bolloni C., Sessa P., Avenanti A. Blocking facial mimicry affects recognition of facial and body expressions. PLoS One. 2020;15(2):e0229364. DOI: 10.1371/journal.pone.0229364Borgomaneri S., Bolloni C., Sessa P., Avenanti A. Blocking facial mimicry affects recognition of facial and body expressions. PLoS One. 2020;15(2):e0229364. DOI: 10.1371/journal.pone.0229364Perusquía-Hernández M., Ayabe-Kanamura S., Suzuki K. Human perception and biosignal-based identification of posed and spontaneous smiles. PLoS One. 2019;14(12):e0226328. DOI: 10.1371/journal.pone.0226328Perusquía-Hernández M., Ayabe-Kanamura S., Suzuki K. Human perception and biosignal-based identification of posed and spontaneous smiles. PLoS One. 2019;14(12):e0226328. DOI: 10.1371/journal.pone.0226328Розалиев В.Л., Заболеева-Зотова А.В., Орлова Ю.А., Гусынин О.С. и др. Определение эмоционального состояния человека: анализ направлений и возможностей комплексного использования инструментальных методов. Прикаспийский журнал: управление и высокие технологии. 2018;2(42):162–72.Rozaliev V.L., Zaboleeva-Zotova A.V., Orlova Yu.A., Gusynin O.S. et al. Determination of emotional state of human: analysis of directions and possibilities of complex use of instrumental methods. Caspian Journal: Control and High Technologies. 2018;2(42):162–72. (in Russian).Patel S., Oishi K., Wright A., Sutherland-Foggio H. et al. Right hemisphere regions critical for expression of emotion through prosody. Front. Neurol. 2018;6(9):224. DOI: 10.3389/fneur.2018.00224Patel S., Oishi K., Wright A., Sutherland-Foggio H. et al. Right hemisphere regions critical for expression of emotion through prosody. Front. Neurol. 2018;6(9):224. DOI: 10.3389/fneur.2018.00224Bastiaansen M., Oosterholt M., Mitas O., Han D. et al. An emotion al roller coaster: electrophysiological evidence of emotional engagement during a roller-coaster ride with virtual reality add-on. J. Hospitality Tourism Res. 2022; 46(1):29–54. Epub. 2020 Jul. 29. DOI: 10.1177/1096348020944436Bastiaansen M., Oosterholt M., Mitas O., Han D. et al. An emotion al roller coaster: electrophysiological evidence of emotional engagement during a roller-coaster ride with virtual reality add-on. J. Hospitality Tourism Res. 2022; 46(1):29–54. Epub. 2020 Jul. 29. DOI: 10.1177/1096348020944436

The authors declare that there are no conflicts of interest present.