EXECUTIVE FUNCTIONS: CURRENT CONCEPTS, CLINICAL DIAGNOSIS AND PROSPECTS



Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Executive functions (EF) play an important role in ensuring a person's conscious, purposeful behavior, as well as planning actions and monitoring their execution. The article summarizes modern ideas about EF, provides possible approaches to their clinical diagnosis and prospects for the development of the problem. The evolution of views and conceptualization of the regulatory system of the brain are presented. The neurophysiological basis of EF is described in detail, which is based on the activity of a number of partially overlapping neural networks of the brain, as well as some intra-network and connective nodes involved in basic data processing and playing an important role in the organization of neural networks. Data on cognitive EF models and detailed representations of one of the most cited such models (the Miyake model) are presented. The data on modern approaches to the study of EF based on the use of "network" models using the mathematical apparatus of graph theory are presented.

"Qualitative" and "quantitative" approaches to the diagnosis of EF disorders are presented, and the difficulties of their neuropsychological assessment are discussed. A range of screening and classical methods for the diagnosis of EF disorders is presented. Relatively new approaches to the clinical diagnosis of EF patients based on the use of information and communication technologies (computerized neuropsychological tests using interactive graphics, virtual reality technologies and "serious games") are discussed. Special attention is paid to diagnostic tests conducted in a virtual environment using gaming technologies, since the use of these techniques can increase the environmental validity and reliability of ongoing research.

Full Text

Restricted Access

About the authors

Polina S. Popova

Privolzhsky Research Medical University

Author for correspondence.
Email: polina_popova43@mail.ru
ORCID iD: 0009-0001-3327-672X
SPIN-code: 9950-7056

Resident of the Department of Nervous Diseases

Russian Federation, 10/1 Minin and Pozharsky pl., Nizhny Novgorod, Russian Federation 603005

Aleksey E. Khrulev

Privolzhsky Research Medical University

Email: alexey_khrulev@mail.ru
ORCID iD: 0000-0003-0169-3956
SPIN-code: 1051-9769
Scopus Author ID: 57210284114
ResearcherId: AAA-6833-2019
http://employee.pimunn.ru/id766/details

Dr. Sci. (Medicine), Associate Professor; Professor of the Department of Nervous Diseases

Russian Federation, 603950, N. Novgorod, Minin and Pozharsky Square, 10/1

Vera N. Grigoryeva

Privolzhsky Research Medical University

Email: vrgr@yandex.ru
ORCID iD: 0000-0002-6256-3429
SPIN-code: 3412-5653
http://employee.pimunn.ru/departments/54/employees

Dr. Sci. (Medicine), Professor, Head of the Department of Nervous Diseases

Russian Federation, 10/1 Minin and Pozharsky Square, N. Novgorod 603950

Svetlana N. Sorokoumova

Federal State Budgetary Institution «Russian Academy of Education»;
Research Institute of the Federal Penitentiary Service;
Minin Nizhny Novgorod State Pedagogical University

Email: 4013@bk.ru
ORCID iD: 0000-0001-8339-6597
SPIN-code: 3355-9260

Dr. Sci. (Psychology), Professor; Corresponding Member of the Russian Academy of Education; Chief Researcher; Professor of the Department of Developmental and Pedagogical Psychology

Russian Federation, 8, Pogodinskaya St., Moscow, 119121; building 1, 15a, Narvskaya str., Moscow, 125130; 1, Ulyanova str., Nizhny Novgorod, Nizhny Novgorod region,603005

Olga V. Suvorova

Minin Nizhny Novgorod State Pedagogical University;
Perm State Humanitarian Pedagogical University

Email: olgavenn@yandex.ru
ORCID iD: 0000-0003-3977-7813
SPIN-code: 7347-8274

Dr. Sci. (Psychology), Professor; Professor of the Department of Pedagogy and Psychology

Russian Federation, 1, Ulyanova str., Nizhny Novgorod, Nizhny Novgorod region,603005; 24 Sibirskaya str., Perm, 614990

References

  1. Bogolepova AN, Vasenina EE, Gomzyakova NA, et al. Clinical Guidelines for Cognitive Disorders in Elderly and Older Patients. S.S. Korsakov Journal of Neurology and Psychiatry. 2021;121(10 3):6 137. (In Russ.) doi: 10.17116/jnevro20211211036
  2. Rodríguez-Nieto G, Seer C, Sidlauskaite J, et al. Inhibition, Shifting and Updating: Inter and intra-domain commonalities and differences from an executive functions activation likelihood estimation meta-analysis. Neuroimage. 2022; 264:119665. doi: 10.1016/j.neuroimage.2022.119665
  3. Dobrynina LA, Gadzhieva ZSh, Morozova SN, Kremneva EI, Krotenkova MV, Kashina EM, Poddubskaya AA. Executive functions: fMRI of healthy volunteers during Stroop test and the serial count test. S.S. Korsakov Journal of Neurology and Psychiatry. 2018;118(11):64 71. (In Russ.) doi: 10.17116/jnevro201811811164
  4. Nikolaeva EI, Vergunov EG. Chto takoe "executive functions" i ih razvitie v ontogeneze. Teoreticheskaja i jeksperimental'naja psihologija. 2017; 2. https://cyberleninka.ru/article/n/chto-takoe-executive-functions-i-ih-razvitie-v-ontogeneze (access date: 20.10.2024). (In Russ.)
  5. Grigoryeva VN., Belova AN. Klinicheskoe nevrologicheskoe obsledovanie. Moskow: Prakticheskaja medicina, 2018. (In Russ.)
  6. Ordinarzeva EV., Sergienko AA. Executive functions and voluntary activity (general psychological and neuropsychological approach): overview of modern views. Nauka. Issledovanija. Praktika: sbornik izbrannyh statej po materialam Mezhdunarodnoj nauchnoj konferencii. Saint Petersburg. 2020, 25 Dec; Saint Petersburg: Chastnoe nauchno-obrazovatel'noe uchrezhdenie dopolnitel'nogo professional'nogo obrazovanija Gumanitarnyj nacional'nyj issledovatel'skij institut «NACRAZVITIE», 2020; 59-66. (In Russ.) doi: 10.37539/SRP294.2020.38.37.002
  7. Prohorov AO. Structure-functional model of mental regulation of subject's psychic states. Psikhologicheskii Zhurnal. 2020; 41(1):5-17. (In Russ.) doi: 10.31857/S020595920007852-3
  8. Goldstein S, Naglieri J. Handbook of executive functioning. New York, NY: Springer, 2014.
  9. Younger JW, O'Laughlin KD, Anguera JA, et al. Better together: novel methods for measuring and modeling development of executive function diversity while accounting for unity. Front Hum Neurosci. 2023; 17:1195013. doi: 10.3389/fnhum.2023.1195013
  10. Assem M., Shashidhara S., Glasser M.F., Duncan J. Basis of executive functions in fine-grained architecture of cortical and subcortical human brain networks. Cereb Cortex. 2024; 34(2):bhad537. doi: 10.1093/cercor/bhad537
  11. Lurija A.R. Vysshie korkovye funkcii cheloveka i ih narushenija pri lokal'nyh porazhenijah mozga. Moskow: Izdatel'stvo MGU, 1969. (In Russ.)
  12. Machinskaja RI. Upravljajushhie sistemy mozga. I.P. Pavlov Journal of Higher Nervous Activity. 2015; 65(1): 33. (In Russ.) doi: 10.7868/S0044467715010086
  13. Piradov MA, Suponeva NA, Seliverstov YuA, et al. The opportunities of modern imaging methods in the study of spontaneous brain activity in resting state. Russian neurological journal. 2016; 1. https://cyberleninka.ru/article/n/vozmozhnosti-sovremennyh-metodov-neyrovizualizatsii-v-izuchenii-spontannoy-aktivnosti-golovnogo-mozga-v-sostoyanii-pokoya. (access date: 17.10.2024). (In Russ.)
  14. Proshina EA, Deynekina TS, Martynova OV. Neurogenetics of brain connectivity: current approaches to the study (review). Sovremennye tehnologii v medicine. 2024; 16(1): 66. (In Russ.) doi: 10.17691/stm2024.16.1.07
  15. Lagoda DJu. Jeffektivnost' i mehanizmy dejstvija navigacionnoj ritmicheskoj transkranial'noj magnitnoj stimuljacii pri umerennyh kognitivnyh rasstrojstvah sosudistogo geneza: dissertation. Moskow; 2021. (In Russ.)
  16. Niendam TA, Laird AR, Ray KL, et al. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn Affect Behav Neurosci. 2012; 12(2):241-68. doi: 10.3758/s13415-011-0083-5
  17. Klochkova IV, Panikratova YaR, Alfimova MV. Diffusion coefficients of the major brain tracts, functional connectivity within the fronto-parietal control network (resting-state fmri) and parameters of executive functions in young healthy adults. I.P. Pavlov Journal of Higher Nervous Activity. 2019; 69(5): 549-560. (In Russ.) doi: 10.1134/S0044467719050046
  18. Friedman NP, Robbins TW. The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology. 2022; 47(1): 72-89. doi: 10.1038/s41386-021-01132-0
  19. Menon V, D'Esposito M. The role of PFC networks in cognitive control and executive function. Neuropsychopharmacology. 2022; 47(1): 90-103. doi: 10.1038/s41386-021-01152-w
  20. Crittenden BM, Mitchell DJ, Duncan J. Task Encoding across the Multiple Demand Cortex Is Consistent with a Frontoparietal and Cingulo-Opercular Dual Networks Distinction. J Neurosci. 2016; 36(23): 6147-55. doi: 10.1523/JNEUROSCI.4590-15.2016. Erratum in: J Neurosci. 2017; 37(26): 6388. doi: 10.1523/JNEUROSCI.1466-17.2017
  21. Gratton C, Sun H, Petersen SE. Control networks and hubs. Psychophysiology. 2018; 55(3): 10.1111/psyp.13032. doi: 10.1111/psyp.13032
  22. Zink N, Lenartowicz A, Markett S. A new era for executive function research: On the transition from centralized to distributed executive functioning. Neurosci Biobehav Rev. 2021;124(235-244). doi: 10.1016/j.neubiorev.2021.02.011
  23. Griffa A, Van den Heuvel MP. Rich-club neurocircuitry: function, evolution, and vulnerability. Dialogues Clin Neurosci. 2018; 20(2): 121-132. doi: 10.31887/DCNS.2018.20.2/agriffa
  24. Khrulev AE, Shiyanova NA, Grigorieva VN, et al. Cerebral microangiopathy according to magnetic resonance imaging of the brain in patients undergoing long-term programmed hemodialysis. Russian neurological journal. 2022;27(2): 43-52. doi: 10.30629/2658-7947-2022-27-2-43-52
  25. Ambrosini E, Arbula S, Rossato C, Pacella V, Vallesi A. Neuro-cognitive architecture of executive functions: A latent variable analysis. Cortex. 2019;119(441-456). doi: 10.1016/j.cortex.2019.07.013
  26. Sergienko AA, Ordinarzeva EV. Control functions: models, research methods, foreign and domestic approaches. Aktual'nye problemy psihologicheskogo znanija. 2024;67(2): 64-74. (In Russ.) doi: 10.51944/20722516_2024_2_64
  27. Miyake A, Friedman NP, Emerson MJ., et al. The unity and diversity of executive functions and their contributions to complex "Frontal Lobe" tasks: a latent variable analysis. Cogn Psychol. 2000; 41(1): 49-100. doi: 10.1006/cogp.1999.0734
  28. Friedman NP, Miyake A, Young SE, et al. Individual differences in executive functions are almost entirely genetic in origin. J Exp Psychol Gen. 2008;137(2): 201-225. doi: 10.1037/0096-3445.137.2.201
  29. Miyake A, Friedman NP. The Nature and Organization of Individual Differences in Executive Functions: Four General Conclusions. Curr Dir Psychol Sci. 2012; 21(1): 8-14. doi: 10.1177/0963721411429458
  30. Rosales KP, Wong EH, Looney L. The Psychometric Structure of Executive Functions: A Satisfactory Measurement Model? An Examination Using Meta-Analysis and Network Modeling. Behav Sci (Basel). 2023; 13(12):1003. doi: 10.3390/bs13121003
  31. Camerota M, Willoughby MT, Blair CB. Measurement models for studying child executive functioning: Questioning the status quo. Dev Psychol. 2020; 56(12):2236-2245. doi: 10.1037/dev0001127
  32. Karr JE, Areshenkoff CN, Rast P, et al. The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies. Psychol Bull. 2018; 144(11):1147-1185. doi: 10.1037/bul0000160
  33. Sambol S, Suleyman E, Scarfo J, Ball M. A true reflection of executive functioning or a representation of task-specific variance? Re-evaluating the unity/diversity framework. Acta Psychol (Amst). 2023; 236:103934. doi: 10.1016/j.actpsy.2023.103934
  34. Doebel S. Rethinking Executive Function and Its Development. Perspect Psychol Sci. 2020; 15(4):942-956. doi: 10.1177/1745691620904771
  35. Wiest GM, Rosales KP, Looney L, et al. Utilizing Cognitive Training to Improve Working Memory, Attention, and Impulsivity in School-Aged Children with ADHD and SLD. Brain Sci. 2022; 12(2):141. doi: 10.3390/brainsci12020141
  36. Hartung J, Engelhardt LE, Thibodeaux ML, et al. Developmental transformations in the structure of executive functions. J Exp Child Psychol. 2020; 189:104681. doi: 10.1016/j.jecp.2019.104681
  37. Menu I, Rezende G, Le Stanc L, et al. A network analysis of executive functions before and after computerized cognitive training in children and adolescents. Sci Rep. 2022; 12(1): 14660. doi: 10.1038/s41598-022-17695-x
  38. Homskaja ED. Nejropsihologija: 4-e izdanie. Saint-Peterburg: Piter, 2024. (In Russ.)
  39. Tihonova AS, Kotel'nikova AV, Kukshina AA. Possibilities of objectification and development of criteria for the analysis of the indicators used by the standard neuropsychological methodologies. Research result. Pedagogy and Psychology of Education. 2020; 6(4): 81-95. (In Russ.) doi: 10.18413/2313-8971-2020-6-4-0-7
  40. Berebin MA, Astaeva AV. On the issue of the qualiti and the psychometric approaches in modern neuropsychological diagnostic. Psychology. Psychophysiology. 2008; 32(132). https://cyberleninka.ru/article/n/k-voprosu-o-kachestvennom-i-psihometricheskom-podhodah-v-sovremennoy-neyropsihologicheskoy-diagnostike. (access date: 20.10.2024). (In Russ.)
  41. Rasskazova EI, Kovjazina MS, Varako NA. screening scales in neuropsychological rehabilitation: Opportunities, requirements and limitations. Bulletin of the South Ural State University. Series «Psychology». 2016; 9(3):5-15. (In Russ.) doi: 10.14529/psy160301
  42. Lurija AR. Osnovy nejropsihologii. Moskow: Izdatel'stvo Moskovskogo universiteta, 1973. (In Russ.)
  43. Mikadze JuV. Nejropsihologija detskogo vozrasta: Uchebnoe posobie. Saint-Peterburg: Piter, 2008. (In Russ.)
  44. Baranskaja LT, Pavlova EV. Nejropsihologija. Uchebnoe posobie. Ekaterinburg: UGMU, 2020. (In Russ.)
  45. Borgnis F, Baglio F, Pedroli E, et al. Available Virtual Reality-Based Tools for Executive Functions: A Systematic Review. Front Psychol. 2022; 13:833136. doi: 10.3389/fpsyg.2022.833136. Erratum in: Front Psychol. 2022; 13:995038. doi: 10.3389/fpsyg.2022.995038
  46. Sakai K, Hosoi Y, Tanabe J. Intervention and assessment of executive dysfunction in patients with stroke: A scoping review. PLoS One. 2024; 19,2:e0298000. doi: 10.1371/journal.pone.0298000
  47. Kokurkina RG, Mendelevich YEG.
  48. The role of clinical and neuroimaging parameters in the formation of cognitive dysfunction in patients with chiari malformation of the type 1. Jeffektivnaja farmakoterapija. 2023.19(4):10-17. doi: 10.33978/2307-3586-2023-19-4-10-17
  49. Baulina ME, Grigoryeva VN, Varako NA., et al. Executive functions in brain diseases of various etiology. National psychological journal. 2023; 18(4):63-77. (In Russ.) doi: 10.11621/npj.2023.0406
  50. Valladares-Rodríguez S, Pérez-Rodríguez R, Anido-Rifón L, Fernández-Iglesias M. Trends on the application of serious games to neuropsychological evaluation: A scoping review. J Biomed Inform. 2016; 64:296-319. doi: 10.1016/j.jbi.2016.10.019
  51. Martínez-Pernía D, Olavarría L, Fernández-Manjón B, et al. The limitations and challenges in the assessment of executive dysfunction associated with real-world functioning: The opportunity of serious games. Appl Neuropsychol Adult. 2023; 1-17. doi: 10.1080/23279095.2023.2174438
  52. Terruzzi S, Albini F, Massetti G, et al. The Neuropsychological Assessment of Unilateral Spatial Neglect Through Computerized and Virtual Reality Tools: A Scoping Review. Neuropsychol Rev. 2024; 34(2):363-401. doi: 10.1007/s11065-023-09586-3
  53. Parsons TD. Neuropsychological Assessment 2.0: Computer-Automated Assessments. In: Clinical Neuropsychology and Technology. Springer, Cham, 2016. doi: 10.1007/978-3-319-31075-6_4
  54. Chan RC, Shum D, Toulopoulou T, Chen EY. Assessment of executive functions: review of instruments and identification of critical issues. Arch Clin Neuropsychol. 2008; 23(2): 201-16. doi: 10.1016/j.acn.2007.08.010
  55. Khrulev AE, Kuryatnikova KM, Belova АN, et al. Modern Rehabilitation Technologies of Patients with Motor Disorders at an Early Rehabilitation of Stroke (Review). Sovremennye tehnologii v medicine. 2022; 14(6):64-78. (In Russ.) doi: 10.17691/stm2022.14.6.07
  56. Borgnis F, Baglio F, Pedroli E, et al. Available Virtual Reality-Based Tools for Executive Functions: A Systematic Review. Front Psychol. 2022; 13:833136. doi: 10.3389/fpsyg.2022.833136. Erratum in: Front Psychol. 2022; 13:995038.
  57. Kim E, Han J, Choi H, et al. Examining the Academic Trends in Neuropsychological Tests for Executive Functions Using Virtual Reality: Systematic Literature Review. JMIR Serious Games. 2021; 9(4):e30249. doi: 10.2196/30249
  58. Kirkham R, Kooijman L, Albertella L, et al. Immersive Virtual Reality-Based Methods for Assessing Executive Functioning: Systematic Review. JMIR Serious Games. 2024; 12:e50282. doi: 10.2196/50282
  59. Martínez-Pernía D, Núñez-Huasaf J, Del Blanco Á, et al. Using game authoring platforms to develop screen-based simulated functional assessments in persons with executive dysfunction following traumatic brain injury. J Biomed Inform. 2017; 74:71-84. doi: 10.1016/j.jbi.2017.08.012
  60. Skidmore ER, Eskes G, Brodtmann A. Executive Function Poststroke: Concepts, Recovery, and Interventions. Stroke. 2023; 54(1):20-29. doi: 10.1161/STROKEAHA.122.037946

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) Eco-Vector



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС 77 - 75562 от 12 апреля 2019 года.