电邮这篇文章 Study of the effectiveness of training using the “NeuroChat” brain–computer interface at a later age
- 作者: Zakharova I.A.1,2, Karunin I.V.1, Sharashkina N.V.2, Runikhina N.K.2, Lysenkov S.N.2
-
隶属关系:
- N.I. Pirogov Russian National Research Medical University
- Russian Gerontological Research and Clinical Center
- 期: 卷 41, 编号 4 (2022)
- 页面: 371-377
- 栏目: Original articles
- URL: https://journals.rcsi.science/RMMArep/article/view/111886
- DOI: https://doi.org/10.17816/rmmar111886
- ID: 111886
如何引用文章
全文:
详细
BACKGROUND: This article examines the effectiveness of training using the increasingly popular brain–computer interface “NeuroChat” on a sample of older people.
AIM: The purpose of this study is to determine the effectiveness and characteristics of training using the “NeuroChat” device.
MATERIALS AND METHODS: The study involved 41 patients — 6 men and 35 women aged 55 to 89 years with various comorbid conditions, undergoing planned treatment at the Russian Gerontology Research and Clinical Centre of the N.I. Pirogov Russian national research medical University. As research methods, a set of diagnostic tests was used: Montreal Cognitive Assessment (MoCA-test), Bourdon’s test (correction test), 10-word auditory-speech memory test, visual memory test, thinking test “4-th superfluous” (4 subtests were used), The Hospital Anxiety and Depression Rating Scale (HADS), as well as the neurotraining using the “NeuroChat” brain–computer interface.
RESULTS: By comparing the control test data with the test data conducted at the beginning of the study, the following results were obtained. Significant changes were found between groups in the 10-word memory test. It is also possible to note an improvement in the indicator of cognitive functioning in general (MoCA screening test), however, this indicator significantly improved in the control group. There was no correlation between the effectiveness of neurotraining with the use of the “NeuroChat” device and the number of sessions conducted. Changes in the psycho-emotional component of the life of the subjects were not found.
CONCLUSION: The use of trainings using the “NeuroChat” device has a positive effect on the cognitive characteristics of older people without affecting the psycho-emotional sphere. The improvement in the characteristics of the cognitive sphere is confirmed by the results of diagnostic tests and occurs after the first use of the “NeuroChat” brain–computer interface. The authors consider it necessary to study the relationship between training using the “NeuroChat” device and improving the cognitive characteristics of people of different age groups, especially the improvement of auditory-speech memory.
作者简介
Irina Zakharova
N.I. Pirogov Russian National Research Medical University; Russian Gerontological Research and Clinical Center
编辑信件的主要联系方式.
Email: anwiw@yandex.ru
ORCID iD: 0000-0003-2299-1952
SPIN 代码: 5751-4202
Senior Lecturer of the General Psychology and Developmental Psychology of the Faculty of Clinical Psychology and Social Work Department; Medical psychologist
俄罗斯联邦, Moscow; MoscowIlya Karunin
N.I. Pirogov Russian National Research Medical University
Email: lucis.exquesitor@mail.ru
SPIN 代码: 4264-3702
laboratory assistant of the General Psychology and Developmental Psychology of the Faculty of Clinical Psychology and Social Work Department
俄罗斯联邦, MoscowNatalya Sharashkina
Russian Gerontological Research and Clinical Center
Email: sharashkina@inbox.ru
ORCID iD: 0000-0002-6465-4842
SPIN 代码: 7695-0360
Scopus 作者 ID: 8312659600
M.D., Ph.D. (Medicine), the Head of General Geriatric Laboratory
俄罗斯联邦, MoscowNadezhda Runikhina
Russian Gerontological Research and Clinical Center
Email: nkrunihina@rgnkc.ru
ORCID iD: 0000-0001-5272-0454
SPIN 代码: 7127-1801
M.D., D.Sc. (Medicine), Geriatrics Deputy Director
俄罗斯联邦, MoscowSergey Lysenkov
Russian Gerontological Research and Clinical Center
Email: s_lysenkov@mail.ru
ORCID iD: 0000-0002-5791-7712
SPIN 代码: 2296-4916
Ph. D. (Biology), Senior Researcher in the Department of Biological Evolution
俄罗斯联邦, Moscow参考
- Bursov AI. Application of artificial intelligence in medical data analysis. Almanac of Clinical Medicine. 2019;47(7):630–633. (In Russ.) doi: 10.18786/2072-0505-2019-47071
- Carelli L, Solca F, Faini A, et al. Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation. Biomed Res Int. 2017;2017:1695290. doi: 10.1155/2017/1695290
- Rezeika A, Benda M, Stawicki P, et al. Brain-Computer Interface Spellers: A Review. Brain Sci. 2018;8(4):57. doi: 10.3390/brainsci8040057
- Ganin IP, Kaplan AYa. The P300 Based Brain Computer Interface: Presentation of the Complex «Flash + Movement» Stimuli. Zhurnal vysshei nervnoi deyatelnosti imeni I.P. Pavlova. 2014;64(1):32–40. (In Russ.) doi: 10.7868/S0044467714010067
- Powers JC, Bieliaieva K, Wu S, Nam CS. The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces. Brain Sci. 2015;5(3):318–356. doi: 10.3390/brainsci5030318
- Polich J. Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 2007;118(10):2128–2148. doi: 10.1016/j.clinph.2007.04.019
- Akhmedov D.R. Increasing human longevity is the task of modern medicine. Bulletin of Dagestan State Medical Academy. 2018;4(29):5–7. (In Russ.)
- Lopaeva VA., Lopaeva MS. Life expectancy factors in russian regions. Social area. 2022;8(2). (In Russ.) Available at: http://socialarea-journal.ru/article/29289 (accessed 10.10.2022). doi: 10.15838/sa.2022.2.34.1
- Tkacheva ON, Mhitarjan EA, Isaev RI, et al. The prevalence of cognitive impairment in the elderly, senile age and centenarians. Byulleten’ Natsional’nogo obshchestva po izucheniyu bolezni Parkinsona i rasstroystv dvizheniy. 2022;(2):200–202. (In Russ.) doi: 10.24412/2226-079x-2022-12466
- Lee TS, Goh SJ, Quek SY, et al. A brain-computer interface based cognitive training system for healthy elderly: a randomized control pilot study for usability and preliminary efficacy. PLoS One. 2013;8(11): e79419. doi: 10.1371/journal.pone.0079419
补充文件
