Subjective cognitive impairment —more questions than answers

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The article is devoted to the actual problem of subjective cognitive impairment, in particular, diagnostic methods, as well as hidden and obvious factors affecting its development. Due to the lack of effective treatment, today special attention is paid to pre-demental cognitive disorders.

Aim. Analysis of available literature data on subjective cognitive impairment.

Material and methods. Various sources were considered during conducting a literature review on the selected topic. The search depth was more than 15 years. Russian and foreign sources were studied on Internet platforms such as Web of science, UpToDate, PubMed, CyberLeninka, Medscape for selection of literature.

Results. According to the studied data, the prevalence of subjective cognitive impairment is quite high in the population, but diagnosis remains difficult due to the lack of susceptible and unified tests. International diagnostic criteria for subjective cognitive impairment are described. The article also presents modern ideas about the obvious and hidden factors that affect the course and prognosis of this state. The possibility of early diagnosis, as one of the most urgent tasks, as well as the methodology of neurocognitive testing are discussed.

Conclusion. Subjective cognitive impairment is becoming an increasingly urgent problem every year. In this regard, doctors of various specialties need to focus attention with minimal suspicion of pathology, since at this stage the changes are potentially reversible. There are both explicit and implicit factors that lead to subjective cognitive impairment. Among the hidden factors, the article discusses multitasking, impaired social interaction, gadget addiction, affective disorders, sleep disorders, pain, and COVID-19. For the most effective detection of subjective cognitive disorders, it is necessary to have unified sets of susceptible tests, which are currently under development.

About the authors

Eduard Z. Yakupov

Kazan State Medical University

Email: ed_yakupov@mail.ru
Russian Federation, 420012, Kazan, Butlerov str., 49

Rimma A. Zhamieva

Clinical Hospital No. 7

Author for correspondence.
Email: rimma.gadieva@mail.ru
Russian Federation, 420103, Kazan, Marshal Chuikov str., 54

References

  1. Яхно Н.Н., Захаров В.В., Локшина А.Б. и др. Деменции. Руководство для врачей М.: МЕДпресс-информ. 2010; 272 с. [Yakhno N.N., Zakharov V.V., Lokshina A.B. et al. Dementsii. Rukovodstvo dlya vrachey. (Dementia. A guide for doctors.) M.: MEDpress-inform. 2010; 272 р. (In Russ.)]
  2. Ушаков Д.В. Социальный интеллект как вид интеллекта. М.: Институт психологии РАН. 2004; 176 с. [Ushakov D.V. Sotsialʹnyy intellekt kak vid intellekta. (Social intelligence as a type of intelligence.) М.: Institut psikhologii RAN. 2004; 176 р. (In Russ.)]
  3. Гилфорд Дж. Три стороны интеллекта. В кн.: Психология мышления. Под ред. А.М. Матюшкина. М.: Прогресс. 1965; 534 с. [Gilford Dzh. Tri storony intellekta. (Three faces of intellect.) In: Psikhologiya myshleniya. (Psychology of thinking.) Pod red. A.M. Matyushkina. M.: Progress. 1965; 534 р. (In Russ.)]
  4. Яхно Н.Н. Когнитивные расстройства в неврологической клинике. Неврол. ж. 2006; 11 (1): 4–12. [Yakhno N.N. Cognitive disorders in a neurological clinic. Nevrol. zhurn. 2006; 11 (1): 4–12. (In Russ.)]
  5. Alzheimer’s Association. 2009 Alzheimer’s disease facts and figures. Alzheimers Dement. 2009; 5 (3): 234–270. doi: 10.1016/j.jalz.2009.03.001.
  6. Katz M.J., Lipton R.B., Hall C.B. et al. Age and sex specific prevalence and incidence of mild cognitive impairment, dementia and Alzheimer’s dementia in blacks and whites: A report from the Einstein Aging Study. Alzheimer Dis. Assoc. Disord. 2012; 26 (4): 335–343. doi: 10.1097/WAD.0b013e31823dbcfc.
  7. Jessen F., Amariglio R.E., van Boxtel M. et al. Subjective Cognitive Decline Initiative (SCD-I) Working Group. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement. 2014; 10 (6): 844–852.
  8. Amieva H., Le Goff M., Millet X. et al. Prodromal Alzheimer’s disease: Successive emergence of the clinical symptoms. Ann. Neurol. 2008; 64 (5): 492–498.
  9. Mitchell A.J., Beaumont H., Ferguson D. et al. Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis. Acta Psychiatr. Scand. 2014; 130 (6): 439–451.
  10. Dufouil C., Fuhrer R., Alpérovitch A. Subjective cognitive complaints and cognitive decline: Consequence or predictor? The epidemiology of vascular aging study. J. Am. Geriatr. Soc. 2005; 53 (4): 616–621.
  11. Яхно Н.Н., Захаров В.В., Коберская Н.Н. и др. «Предумеренные» (субъективные и лёгкие) когнитивные расстройства. Неврологич. ж. 2017; 22 (4): 198–204. [Yakhno N.N., Zakharov V.V., Koberskaya N.N. et al. Premild (subjective and subtle) cognitive disorders. Nevrologicheskiy zhurnal. 2017; 22 (4): 198–204. (In Russ.)] doi: 10.18821/1560-9545-2017-22-4-198-204.
  12. Hampshire A., Trender W., Chamberlain S.R. et al. Cognitive deficits in people who have recovered from COVID-19 relative to controls: An N=84,285 online study. 2020. https://www.medrxiv.org/content/10.1101/2020.10.20.20215863v1#p-5 (access date: 01.06.2021). doi: 10.1101/2020.10.20.20215863.
  13. Нехорошкова А.Н., Большевидцева И.Л. Нейробиологические предпосылки формирования тревожных состояний. Вестник САФУ. Серия: Медико-биологические науки. 2016; 3: 24–36. [Nekhoroshkova A.N., Bol’shevidtseva I.L. Neurobiological prerequisites for the formation of anxiety states. Vestnik SAFU. Ser.: Mediko-biologicheskiye nauki. 2016; 3: 24–36. (In Russ.)]
  14. Jessen F., Amariglio R.E., van Boxtel M. et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement. 2014; 10 (6): 844–852. Published online 2014 May 3. doi: 10.1016/j.jalz.2014.01.001.
  15. Корабельникова Е.А. Тревожные расстройства в условиях пандемии COVID-19. Мед. вестн. Северного Кавказа. 2021; 16 (1): 79–85. [Korabelnikova E.A. Anxiety disorders in the context of the COVID-19 pandemic. Medical News of North Caucasus. 2021; 16 (1): 79–85. (In Russ.)] doi: 10.14300/mnnc.2021.16022.
  16. Якупов Э.З., Александрова Е.А., Трошина Ю.В. и др. Нарушения сна как междисциплинарная проблема. Ж. международ. мед. 2014; 4 (9): 125–131. [Yakupov E.Z., Aleksandrova E.A., Troshina Yu.V. et al. Sleep disorders: an interdisciplinary problem. Zhurnal mezhdunarodnoy meditsiny. 2014; 4 (9): 125–131. (In Russ.)
  17. Полуэктов М.Г., Преображенская И.С. Нарушения сна и когнитивных функций, подходы к терапии. Неврология, нейропсихиатрия, психосоматика. 2014; (1): 68–73. [Poluektov M.G., Preobrazhenskaya I.S. Sleep and cognitive dysfunction. Therapeutic approach. Nevrologiya, neĭropsikhiatriya, psikhosomatika. 2014; (1): 68–73. (In Russ.)] doi: 10.14412/2074-2711-2014-1-68-73.
  18. Jelicic M., Bosma H., Ponds R.W. et al. Subjective sleep problems in later life as predictors of cognitive decline. Report from the Maastricht Ageing Study (MAAS). Int. J. Geriatr. Psychiatry. 2002; 17 (1): 73–77. doi: 10.1002/gps.529.
  19. Iliff J.J., Wang M., Liao Y. et al. A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Science Translational Med. 2012; 4 (147): 147ra111. doi: 10.1126/scitranslmed.3003748.
  20. Breymann C.S. Die lymphatischen Abflusswege von Gehirn und Hypophyse im Mausmodell Inaugural (Dissertation zur Erlangung des Doktorgrades fur Zahnheilkunde der Medizinischen FakultКt der Georg-August-Universitat zu Gottingen). 2016.
  21. He J., Hsuchou H., He Y. et al. Sleep restriction impairs blood-brain barrier function. J. Neurosci. 2014; 34 (44): 14 697–14 706.
  22. Aguirre C.C. Sleep deprivation: a mind-body approach. Curr. Opin. Pulmonary Med. 2016; 22 (6): 583–588. doi: 10.1097/MCP.0000000000000323.
  23. Pelluru D., Konadhode R.R., Bhat N.R., Shiromani P.J. Optogenetic stimulation of astrocytes in the posterior hypothalamus increases sleep at night in C57BL/6J mice. Eur. J. Neurosci. 2016; 43 (10): 1298–1306. doi: 10.1111/ejn.13074.
  24. TikTok показал статистику аудитории в России. https://news.cpa.ru/tiktok-showed-audience-statistics/ (дата обращения: 08.06.2021). [TikTok pokazal statistiku auditorii v Rossii. (TikTok showed audience statistics in Russia.) https://news.cpa.ru/tiktok-showed-audience-statistics/ (access date: 08.06.2021).]
  25. Шпитцер М. Антимозг: цифровые технологии и мозг. Пер. с нем. А.Г. Гришина. М.: АСТ. 2014; 284 с. [Shpittser M. Antimozg: tsifrovye tekhnologii i mozg. (Anti-brain: digital technologies and the brain.) Per. s nem. A.G. Grishina. M.: AST. 2014; 284 р. (In Russ.)]
  26. Солдатова Г.У., Никонова Е.Ю., Кошевая А.Г., Трифонова А.В. Медиамногозадачность: от когнитивных функций к цифровой повседневности. Соврем. зарубежная психол. 2020; 9 (4): 8–21. [Soldatova G.U., Nikonova E.Yu., Koshevaya A.G., Trifonova A.V. Media multitasking: from cognitive functions to digital. Sovremennaya zarubezhnaya psikhologiya. 2020; 9 (4): 8–21. DOI: https://doi. org/10.17759/jmfp.2020090401 (In Russ.)].
  27. Koch I., Poljac E., Müller H. et al. Cognitive structure, flexibility, and plasticity in human multitasking — An integrative review of dual-task and task-switching research. Psychol. Bull. 2018; 144 (6): 557–583. doi: 10.1037/bul0000144.
  28. Ralph B.C.W., Thomson D.R., Cheyne J.A. et al. Media multitasking and failures of attention in everyday life. Psychol. Res. 2014; 78 (5): 661–669. DOI: .10.1007/s00426-013-0523-7
  29. Ophir E., Nass C., Wagner A.D. Cognitive control in media multitaskers. Proc. Nat. Acad. Sci. 2009; 106 (37): 15 583–15 587. doi: 10.1073/pnas.0903620106.
  30. Van Der Schuur W.A., Baumgartner S.E., Sumter S.R. et al. The consequences of media multitasking for youth: A review. Computers in Hum. Behav. 2015; 53: 204–215. doi: 10.1016/j.chb.2015.06.035.
  31. Uncapher M.R., Thieu M.K., Wagner A.D. Media multitasking and memory: Differences in working memory and long-term memory. Psychonomic Bull. Rev. 2016; 23 (2): 483–490. doi: 10.3758/s13423-015-0907-3.
  32. Carr N.G. The shallows: What the Internet is doing to our brains. New York, NY: W.W. Norton. 2010; 276 p.
  33. Gureje O., Simon G.E., Von Korff M. A cross-national study of the course of persistent pain in primary care. Pain. 2001; 92: 195–200. doi: 10.1016/S0304-3959 (00)00483-8.
  34. Crombie I.K. Epidemiology of persistent pain. Proceedings of the 8-th World Congress on Pain: progress in pain research and management. Vol. 8. T.S. Jensen et al. eds. Seattle: IASP Press; 1997: 53–61.
  35. Moriarty O., McGuire B.E., Finn D.P. The effect of pain on cognitive function: a review of clinical and preclinical research. Prog. Neurobiol. 2011; 93 (3): 385–404. doi: 10.1016/j.pneurobio.2011.01.002.
  36. Lebel C., Gee M., Camicioli R. et al. Diffusion tensor imaging of white matter tract evolution over the lifespan. Neuroimage. 2012; 60 (1): 340–352. doi: 10.1016/j.neuroimage.2011.11.094.
  37. Amariglio R.E., Becker J.A., Carmasin J. et al. Subjective cognitive complaints and amyloid burden in cognitively normal older individuals. Neuropsychologia. 2012; 50 (12): 2880–2886.
  38. Caracciolo B., Gatz M., Xu W. et al. Differential distribution of subjective and objective cognitive impairment in the population: A nationwide twin-study. J. Alzheimers Dis. 2012; 29 (2): 393–403.
  39. Edmonds E.C., Delano-Wood L., Galasko D.R. et al. Subtle cognitive decline and biomarker staging in preclinical Alzheimer’s disease. J. Alzheimers Dis. 2015; 47 (1): 231–242.
  40. Mosconi L., De Santi S., Brys M. et al. Hypometabolism and altered cerebrospinal fluid markers in normal apolipoprotein E E4 carriers with subjective memory complaints. Biol. Psychiatry. 2008; 63 (6): 609–618.
  41. Perrotin A., Mormino E.C., Madison C.M. et al. Subjective cognition and amyloid deposition imaging: A Pittsburgh Compound B positron emission tomography study in normal elderly individuals. Arch. Neurol. 2012; 69 (2): 223–229.
  42. Fladby T. Correlates of subjective and mild cognitive impairment: depressive symptoms and CSF biomarkers. Dement. Geriatr. Cogn. Dis. Extra. 2013; 3 (1): 291–300.
  43. Striepens N., Scheef L., Wind A. et al. Volume loss of the medial temporal lobe structures in subjective memory impairment. Dement. Geriatr. Cogn. Disord. 2010; 29 (1): 75–81.
  44. Захаров В.В., Вахнина Н.В., Громова Д.О. и др. Клинический спектр недементных когнитивных расстройств: субъективные, лёгкие и умеренные нарушения. Неврол., нейропсихиатрия, психосомат. 2015; 7 (4): 83–91. [Zakharov V.V., Vakhnina N.V., Gromova D.O. et al. The clinical spectrum of non-dementia cognitive impairment: Subjective mild-to-moderate disorders. Nevrologiya, neyropsikhiatriya, psikhosomatika. 2015; 7 (4): 83–91. (In Russ.)]
  45. Ponds R.W., Commissaris K.J., Jolles J. Prevalence and covariates of subjective forgetfulness in a normal population in The Netherlands. Int. J. Aging. Hum. Dev. 1997; 45: 207–221.
  46. Захаров В.В., Савушкина И.Ю., Мхитарян Э.А. и др. Возрастная динамика когнитивных функций у лиц 50–85 лет. Успехи геронтол. 2017; 30 (3): 450–456. [Zakharov V.V., Savushkina I.Yu., Mkhitaryan E.A. et al. Age dynamics of cognitive functions in persons 50–85 years. Adv. Geront. 2017; 30 (3): 450–456. (In Russ.)]
  47. Захаров В.В. Когнитивные расстройства без деменции: классификация, основные причины и лечение. Эффективн. фармакотерап. 2016; 1: 22–30. [Zakharov V.V. Cognitive disorders without dementia: classification, underlying causes and treatment. Effect. Pharmacotherap. 2016; 1: 22–30. (In Russ.)]
  48. Меркин А.Г., Кажин В.А., Комаров А.Н. и др. Профилактика цереброваскулярных заболеваний и когнитивных расстройств в психиатрической и неврологической практике (обзор литературы). Неврол., нейропсихиатрия, психосомат. 2016; 8 (3): 95–100. [Merkin A.G., Kazhin V.A., Komarov A.N. et al. Prevention of cerebrovascular diseases and cognitive impairment in psychiatric and neurological practice: A literature review. Nevrologiya, neiropsikhiatriya, psikhosomatika. 2016; 8 (3): 95–100. (In Russ.)]. DOI: http://dx.doi.org/10.14412/2074-2711-2016-3-95-100.

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig 1. Clinical classification of cognitive impairment

Download (93KB)
3. Fig 2. Variants of affecting domains of cognitive functions in various diseases

Download (211KB)
4. Fig 3. A complex of reasons for the development of subjective disorders

Download (140KB)

Copyright (c) 2021 Yakupov E.Z., Zhamieva R.A.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies