Перейти к главному меню навигации Перейти к основному контенту Перейти к нижнему колонтитулу сайта

№ 2 (2022)

ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ

Биотипирование депрессий на основе электроэнцефалографических параметров мнимой когерентности

https://doi.org/10.21265/PSYPH.2022.45.34.002

Опубликован 2022-06-30

  • И.А Лапин
    • ,
  • Т.А. Рогачева
    • ,
  • А.А. Митрофанов
    • ,
  • С.Н. Мосолов

И.А Лапин
ФГБУ «Национальный медицинский исследовательский центр психиатрии и наркологии имени В.П. Сербского» Министерства здравоохранения Российской Федерации

Т.А. Рогачева
ФГБУ «Национальный медицинский исследовательский центр психиатрии и наркологии имени В.П. Сербского» Министерства здравоохранения Российской Федерации

А.А. Митрофанов
ФГБНУ «Центр психического здоровья»

С.Н. Мосолов
ФГБУ «Национальный медицинский исследовательский центр психиатрии и наркологии имени В.П. Сербского», ФГБУ ДПО «Российская медицинская академия непрерывного профессионального образования» Министерства здравоохранения Российской Федерации

Аннотация

Актуальность. Патофизиологические основы клинического полиморфизма депрессивных расстройств изучены крайне недостаточно. Материалы и методы. В одномоментном исследовании с целью выделить электроэнцефалографические варианты депрессивного симптомокомплекса, электроэнцефалографически с расчетом параметров мнимой когерентности обследовано 325 больных с депрессиями в структуре рекуррентного депрессивного (n=184) и биполярного II типа расстройств (n=141). Результаты. Выделены нейрофизиологические варианты депрессивных расстройств, характеризующие различные ветви патогенеза аффективной патологии и позволяющие объяснить клинический полиморфизм депрессивного симптомокомплекса. Заключение. Выделенные биотипы депрессий возможно использовать для построения дифференцированных терапевтических программ, а также в качестве объективной меры эффективности терапии при динамическом наблюдении.

Ключевые слова

депрессия, ЭЭГ, биотип, когерентность

PDF

Библиографические ссылки

  1. Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherence. Clinical Neurophysiology. 2004;115:2292–2307. https://doi.org/10.1016/j.clinph.2004.04.029
  2. Drysdale A, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y, Fetcho RN, Zebley B, Oathes DJ, Etkin A, Schatzberg AF, Sudheimer K, Keller J, Mayberg HS, Gunning FM, Alexopoulos GS, Fox MD, Pascual-Leone A, Voss HU, Casey BJ, Dubin MJ, Liston C. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med. 2017;23:28–38. https://doi.org/10.1038/nm.4246
  3. Williams LM. Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation. Depress Anxiety. 2017;34(1):9‐24. https://doi.org/10.1002/da.22556
  4. Антонович БА, Майорова ЛА, Цукарзи ЭЭ, Мосолов СН. Нейронные сети состояния покоя при депрессиях и перспективы применения персонифицированной магнитной стимуляции. Современная терапия психических расстройств. 2019;3:2–11. https://doi.org/10.21265/PSYPH.2019.49.35967
  5. Annett M. A classification of hand preference by association analysis. British J. of Psychol. 1970;61(3):303-323. https://doi.org/10.1111/j.2044-8295.1970.tb01248.x
  6. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): The Development and Validation of a Structured Diagnostic Psychiatric Interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59(20):22-33. PMID: 9881538
  7. Spearing MK, Post RM, Leverich GS, Brandt D, Nolen W. Modification of the Clinical Global Impressions (CGI) Scale for use in bipolar illness (BP): the CGI-BP. Psychiatry Res. 1997 Dec 5;73(3):159-71. https://doi.org/10.1016/s0165-1781(97)00123-6
  8. Hamilton M. The assessment of anxiety states by rating. Br. J. Med. Psychol. 1959;32:50-55. https://doi.org/10.1111/j.2044-8341.1959.tb00467.x
  9. Hamilton M. A rating scale for depression. Neurol. Neorosurg. Psychiat. 1960;23(1):56-62. http://doi.org/10.1136/jnnp.23.1.56
  10. Corruble E, Legrand JM, Duret C, Charles G, Guelfi JD. IDS-C and IDS-sr: psychometric properties in depressed in-patients. J Affect Disord. 1999 Dec;56(2-3):95-101. http://doi.org/10.1016/s0165-0327(99)00055-5.
  11. Altman EG, Hedeker DR, Janicak PG, Peterson JL, Davis JM. The Clinician-Administered Rating Scale for Mania (CARS-M): Development, Reliability, and Validity. Biol Psychiatry. 1994;36(2):124-34. https://doi.org/10.1016/0006-3223(94)91193-2
  12. Nakonezny PA, Carmody TJ, Morris DW, Kurian BT, Trivedi MH. Psychometric evaluation of the Snaith-Hamilton pleasure scale in adult outpatients with major depressive disorder. Int Clin Psychopharmacol. 2010 Nov;25(6):328-33. https://doi.org/10.1097/YIC.0b013e32833eb5ee
  13. Juckel G, Schaub D, Fuchs N, Naumann U, Uhl I, Witthaus H, Hargarter L, Bierhoff H, Brune M. Validation of the Personal and Social Performance (PSP) Scale in a German sample of acutely ill patients with schizophrenia. Schizophrenia Research. 2008;104(1–3):287-293. https://doi.org/10.1016/j.schres.2008.04.037
  14. Bressi C, Taylor G, Parker J, Bressi S, Brambilla V, Aguglia E, Allegranti I, Bongiorno A, Giberti F, Bucca M, Todarello O, Callegari C, Vender S, Gala C, Invernizzi G. Cross validation of the factor structure of the 20-item Toronto Alexithymia Scale: an Italian multicenter study. J Psychosom Res. 1996 Dec;41(6):551-9. https://doi.org/10.1016/s0022-3999(96)00228-0
  15. Ochsner KN, Ray RD, Cooper J, Robertson ER,Chopra S, Gabrieli JDE, James JG. For better or for worse: Neural systems supporting the cognitive down- and up-regulation of negative emotion. Neuroimage. 2004;23:483–499. https://doi.org/10.1016/j.neuroimage.2004.06.030
  16. Kim SH, Hamann S. Neural correlates of positive and negative emotion regulation. Journal of Cognitive Neuroscience. 2007;19(5):776-798. https://doi.org/10.1162/jocn.2007.19.5.776
  17. Niendam TA, Laird AR, Ray KL, Dean MY, Glahn DC, Carter CS. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive function. Cogn Affect BehavNeurosci. 2012;12(2):241–268. https://doi.org/10.3758/s13415-011-0083-5
  18. Roalf DR, Ruparel K, Gur RE, Bilker W, Gerraty R, Elliott MA, Gallagher RS, Almasy L, Pogue-GeileMF, Prasad K, Wood J, NimgaonkarVL, Gur RC. Neuroimaging predictors of cognitive performance across a standardized neurocognitive battery. Neuropsychology. 2014;28(2):161–176. https://doi.org/10.1037/neu0000011
  19. Elliott R, Baker SC, Rogers RD, O'Leary DA, Paykel ES, Frith CD, Dolan RJ, Sahakian BJ.Prefrontal dysfunction in depressed patients performing a complex planning task: a study using positron emission tomography. Psychol Med. 1997;27(4):931–942.
  20. Alexopoulos GS, Hoptman MJ, Kanellopoulos D, Murphy CF, Lim KO, Gunning FM. Functional connectivity in the cognitive control network and the default mode network in late-life depression. J Affect Disord. 2012;139(1):56-65. https://doi.org/10.1016/j.jad.2011.12.002.
  21. Shelton RC, Tomarken AJ. Can recovery from depression be achieved? Psychiatr Serv. 2001;52(11):1469–1478.https://doi.org/10.1176/appi.ps.52.11.1469
  22. Posner J, Hellerstein DJ, Gat I, Mechling A, Klahr K, Wang Z, Peterson BS. Antidepressants normalize the default mode network in patients with dysthymia. JAMA Psychiatry. 2013;70(4):373–382.https://doi.org/10.1001/jamapsychiatry.2013.455
  23. Davidson RJ, Pizzagalli D, Nitschke JB, Putnam K. Depression: Perspectives from Affective Neuroscience. Annu. Rev. Psychol. 2002;53:545–574. https://doi.org/10.1146/annurev.psych.53.100901.135148
  24. Engel AK, Fries P. Beta-band oscillations–signalling the status quo? CurrOpinNeurobiol. 2010;20(2):156–165. https://doi.org/10.1016/j.conb.2010.02.015
  25. Sprengelmeyer R, Steele JD, Mwangi B, Kumar P, Christmas D, Milders M, Matthews K. The insular cortex and the neuroanatomy of major depression. Affect Disord. 2011;133(1–2):120–127. https://doi.org/10.1016/j.jad.2011.04.004
  26. Williams LM. Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation. Depress Anxiety. 2017;34(1):9‐24. https://doi.org/10.1002/da.22556
  27. Lee BT, Seong WC, Hyung SK, Lee BC, Choi IG, Lyoo IK, Ham BJ. The neural substrates of affective processing toward positive and negative affective pictures in patients with major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2007;31(7):1487–1492.https://doi.org/10.1016/j.pnpbp.2007.06.030
  28. Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, TendolkarI. Resting-state functional connectivity in major depressive disorder: A review. NeurosciBiobehav Rev. 2015;56:330–344. https://doi.org/10.1016/j.neubiorev.2015.07.014
  29. Neuner I, Arrubla J, Werner CJ, Hitz K, Boers F, Kawohl W. The Default Mode Network and EEG Regional Spectral Power: A Simultaneous fMRI-EEG Study. PLoS ONE. 2014;9(2):e88214. https://doi.org/10.1371/journal.pone.0088214
  30. Peterson A, Thome J, Frewen P, Lanius RA. Resting-state neuroimaging studies: a new way of identifying differences and similarities among the anxiety disorders? Can J Psychiatry. 2014;59(6):294-300.https://doi.org/10.1177/070674371405900602
  31. Seminowicz DA, Mayberg HS, McIntosh AR, Goldapple K, Kennedy S, Segal Z, Rafi-Tari S. Limbic-frontal circuitry in major depression: A path modeling metanalysis. Neuroimage. 2004;22(1):409-418. https://doi.org/10.1016/j.neuroimage.2004.01.015
  32. Li CT, Wang SJ, Hirvonen J, Hsieh JC, Bai YM, Hong CJ, Liou YJ, Su TP. Antidepressant mechanism of add-on repetitive transcranial magnetic stimulation in medication-resistant depression using cerebral glucose metabolism. J Affect Disord. 2010;127(1-3):219-229. https://doi.org/10.1016/j.jad.2010.05.028
  33. Wu QZ, Li DM, Kuang WH, Zhang TJ, Lui S, Huang XQ, Gong QY. Abnormal regional spontaneous neural activity in treatment-refractory depression revealed by resting-state fMRI. Hum Brain Mapp. 2011;32(8):1290–1299. https://doi.org/10.1002/hbm.21108
  34. West ED, Dally PJ. Effects of iproniazid in depressive syndromes. Br Med J.1959;1(5136):1491–1494. https://doi.org/10.1136/bmj.1.5136.1491
  35. Rosenberg J. The Effects of Misdiagnosing Depression with Mixed Features as Unipolar Depression. Conferences > Neuroscience Education Institute (NEI) 2017. Congress – Published on: November 12, 2017.
  36. Akiskal HS, Mallya G. Criteria for the "soft" bipolar spectrum: treatment implications. Psychopharmacol Bull. 1987;23(1):68-73. PMID: 3602332.
  37. McIntyre R, Ng-Mak D, Chuang C-C, Halpern R, Patel PA, Rajagopalan K, Loebel A. Major depressive disorder with subthreshold hypomanic (mixed) features: a real-world assessment of treatment patterns and economic burden. J Affect Disord. 2016;210(2017):332-337. https://doi.org/10.1016/j.jad.2016.12.033
  38. Faedda G, Marangoni C. What is the role of conventional antidepressants in the treatment of major depressive episodes with Mixed Features Specifier? CNS Spectrums. 2017;22(2),120-125. https://doi.org/10.1017/S1092852916000493
  39. Stahl S.M., Morrissette D.A., Faedda G., Fava M., Goldberg J.F., Keck P.E., Lee Y., Malhi G., Marangoni C., McElroy S.L., Ostacher M., Rosenblat J.D., Solé E., Suppes T., Takeshima M., Thase M.E., Vieta E., Young A., Zimmerman M., McIntyre R.S. Guidelines for the recognition and management of mixed depression. CNS Spectrums. 2017;22(2):203-219. https://doi.org/10.1017/S1092852917000165
  40. Guo WB, Liu F, Xue ZM, Xu XJ, Wu RR, Ma CQ, Zhao JP. Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: a resting-state fMRI study. Prog Neuropsychopharmacol Biol Psychiatry. 2012;37(1):153–160. https://doi.org/10.1016/j.pnpbp.2012.01.011
  41. Lui S, Wu Q, Qiu L, Yang X, Kuang W, Chan RC, Gong Q. Resting-state functional connectivity in treatment-resistant depression. Am J Psychiatry. 2011;168(6):642–648. https://doi.org/10.1176/appi.ajp.2010.10101419
  42. Laufs H, Krakow K, Sterzer P, Eger E, Beyerle A, Salek-Haddadi A, Kleinschmidt A. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. PNAS. 2003;19(100):11053–11058. https://doi.org/10.1073/pnas.1831638100
  43. Sheline YI, Priced JL, Yanb Z, Mintun MA. Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. PNAS. 2010;24(107):11020–11025. https://doi.org/10.1073/pnas.1000446107
  44. Horn DI, Yu Ch, Steiner J, Buchmann J, Kaufmann J, Osoba AM, Eckert U, Zierhut KC, Schiltz K, He H, Biswal B, Bogerts B, Walter M. Glutamatergic and resting-state functional connectivity correlates of severity in major depression – the role of pregenual anterior cingulate cortex and anterior insula. Frontiers in Systems Neuroscience. 2010;4:33. https://doi.org/10.3389/fnsys.2010.00033
  45. Seeley WW, Menon V, Schatzberg AF, Keller J, Glover GH, Kenna H, Reiss AL, Greicius MD. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control. The Journal of Neuroscience. 2007;27(9):2349–2356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007
  46. Garavan H, Ross RH, Stein EA. Righthemispheric dominance of inhibitory con-trol: an event-related functional MRI study. Proc. Natl. Acad. Sci. USA. 1999;96(14):8301–6. https://doi.org/10.1073/pnas.96.14.8301
  47. Konishi S, Nakajima K, Uchida I, Kikyo H, Kameyama M, Miyashita Y. Commoninhibitory mechanism in human inferior prefrontal cortex revealed by eventrelated functional MRI. Brain. 1999;122:981–91. https://doi.org/10.1093/brain/122.5.981
  48. Funahashi S, Kubota K. Working memory and prefrontal cortex. Neurosci Res. 1994;21(1):1–11. https://doi.org/10.1016/0168-0102(94)90063-9
  49. Goldman-Rakic PS. Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. In: Mountcastle VB, Plum F, Geiger SR, editors. Handbook of physiology, Bethesda (MD): American Physiological Society. 1987;1(5):373–417. https://doi.org/10.1002/cphy.cp010509
  50. Levesque J, Eugene F, Joanette Y, Paquette V, Mensour B, Beaudoin G, Leroux JM, Bourgouin P, Beauregard M. Neural circuitry underlying voluntary suppression of sadness. Biol Psychiatry. 2003;53(6):502-510. https://doi.org/10.1016/S0002-3223(03)01817-6
  51. Manoliu A, Meng C, Brandl F, Doll A, Tahmasian M, Scherr M, Schwerthöffer D, Zimmer C, Förstl H, Bäuml J, Riedl V, Wohlschläger AM, Sorg C. Insular dysfunction within the salience network is associated with severity of symptoms and aberrant inter-network connectivity in major depressive disorder. Frontiers in Human Neuroscience. 2014;7:930. https://doi.org/10.3389/fnhum.2013.00930
  52. Gordon EM, Laumann TO, Adeyemo B, Huckins JF, Kelley WM, Petersen SE. Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. Cereb Cortex. 2016;26(1):288-303. https://doi.org/10.1093/cercor/bhu239
  53. Peterson BS, Weissman MM. A brain-based endophenotype for major depressive disorder. Annu Rev Med. 2011;62:461–474. https://doi.org/10.1146/annurev-med-010510-095632
  54. Downar J, Geraci J, Salomons TV, Dunlop K, Wheeler S, McAndrews MP, Giacobbe P. Anhedonia and Reward-Circuit Connectivity Distinguish Nonresponders from Responders to Dorsomedial Prefrontal Repetitive Transcranial Magnetic Stimulation in Major Depression. Biol Psychiatry. 2014;76(3):176-85. https://doi.org/10.1016/j.biopsych.2013.10.026
  55. Johnstone T., van Reekum C. M., Urry H. L., Kalin N. H., Davidson R. J. Failure to regulate: counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression. J. Neurosci. 2007;27(33):8877–8884. https://doi.org/10.1523/JNEUROSCI.2063-07.2007
  56. Wager T.D., Davidson M.L., Hughes B.L., Lindquist M.A., Ochsner, K.N. Prefrontal-subcortical pathways mediating successful emotion regulation. Neuron.2008;59(6):1037–1050. https://doi.org/10.1016/j.neuron.2008.09.006
  57. Mervaala E, Fohr J, Kononen M, Valkonen-Korhonen M, Vainio P, Partanen K, Partanen J, Tiihonen J, Viinamäki H, Karjalainen AK, Lehtonen J. Quantitative MRI of the hippocampus and amygdala in severe depression. Psychol. Med. 2000;30(1):117–25. https://doi.org/10.1017/S0033291799001567
  58. Tebartz van Elst L, Woermann FG, Lemieux L, Trimble MR. Amygdala enlargement in dysthymia: a volumetric study of patients with temporal lobe epilepsy. Biol. Psychiatry. 1999;46(12):1614–23. https://doi.org/10.1016/S0006-3223(99)00212-7
  59. Cardinal RN, Parkinson JA, Hall J & Everitt BJ. Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex. Neurosci. Biobehav. Rev. 2002;26(3):321–352. https://doi.org/10.1016/s0149-7634 (02) 00007-6

Скачивания

Данные скачивания пока недоступны.