Differences in Modulation of Brain Responses to Emotional Stimuli in Men and Women with Bipolar Depression
https://doi.org/10.31550/1727-2378-2022-21-8-72-77
Abstract
Study Objective: To investigate the prognostic and therapeutically significant characteristics in neurophysiological reactivity of male and female patients with bipolar depression.
Study Design: comparative controlled non-randomized clinical experimental study.
Materials and Methods. 53 patients (26 men and 27 women) with bipolar depression were examined before the start of their psychopharmacotherapy. They were aged from 21 to 59 years. There were no significant differences between men and women on the Hamilton Depression and Anxiety Scale. The groups of healthy volunteers included 23 men and 29 women of the corresponding age. The participants sorted the photos, 80 of which were images of angry/aggressive people or animals, and 80 had neutral expressions. Simple figures (keys) were displayed 2 seconds before the pictures, their connection with the photographs was not explained. A 128-channel electroencephalogram was recorded and the brain responses elicited by the keys were analyzed. Differences (p < 0.05) between neutral and emotional conditions were defined as emotional modulation (EM).
Study Results. EM differences in male and female patients were more pronounced than in the control groups. In women with bipolar depression, EM was consistently located in the posterior areas of the cortex from 100 ms to the end of the analysis period. The EM for the P100 component was missing, and the EM topography for P200 was closer to normal than in men. The EM of components N170 and P380 in patients differed depending on their sex and differed from EM of healthy controls of the same sex.
Conclusions. The EM of the brain activity in patients with bipolar depression differs from the EM of healthy people. The differences depend on the gender of the patient and affect several components of the evoked brain activity. This suggests that it is important to take into account the gender of the subjects when studying affective disorders in patients.
Keywords
About the Authors
E. V. MnatsakanianRussian Federation
5a Butlerov Str., Moscow, 117485
V. V. Kryukov
Russian Federation
3 Poteshnaya Str., build. 10, Moscow, 107076
A. S. Zharkova
Russian Federation
3 Poteshnaya Str., build. 10, Moscow, 107076
V. N. Krasnov
Russian Federation
3 Poteshnaya Str., build. 10, Moscow, 107076
References
1. Salk R.H., Hyde J.S., Abramson L.Y. Gender differences in depression in representative national sample: meta-analysis of diagnoses and symptoms. Psychol. Bull. 2017; 143(8): 783–822. DOI: 1037/bul0000102
2. Zierau R., Billie A., Rutz W., Bech P. The Gotland Male Depression Scale: a validity study in patients with alcohol use disorders. Nord. J. Psychiatry. 2002; 56(4): 265–71. DOI: 10.1080/08039480260242750
3. Coriell W., Young E.A. Clinical predictors of suicide in primary major depressive disorder. J. Clin. Psychiatry. 2005; 66(4): 412–17. DOI: 10.4088/jcp.v66n0401
4. Möller-Leimkühler A.M. Gender differences in cardiovascular disease and comorbid depression. Dialogues Clin. Neurosci. 2007; 9(1): 71–83. DOI: 10.31887/DCNS.2007.9.1/ammoeller
5. Labaka A., Goñi-Balentziaga O., Lebeña A., Pérez-Tejada J. Biological sex differences in depression: a systematic review. Biol. Res. Nurs. 2018; 20(4): 383–92. DOI: 10.1177/1099800418776082
6. Eid R.S., Gobinath A.R., Galea L.A.M. Sex differences in depression: Insights from clinical and preclinical studies. Prog. Neurobiol. 2019; 176: 86–102. DOI: 10.1016/j.pneurobio.2019.01.006
7. Rubinow D., Schmidt P.J. Sex differences and the neurobiology of affective disorders. Neuropsycopharmacology. 2019; 44(11): 111–28. DOI: 10.1038/s41386-018-0148z
8. Kato T. Current understanding of bipolar disorder: toward integration of biological basis and treatment strategies. Psychiatry Clin. Neurosci. 2019; 73(9): 526–40. DOI: 10.1111/pcn.12852
9. Rantala M.J., Luoto S., Borráz-León J.I., Krams I. Bipolar disorder: an evolutionary psychoneuroimmunological approach. Neurosci. Biobehav. Rev. 2021; 122: 28–37. DOI: 10.1016/j.neubiorev.2020.12.031
10. Teixeira A.L., Colpo G.D., Fries G.R., Bauer I.E. et al. Biomarkers for bipolar disorder: current status and challenges ahead. Expert. Rev. Neurother. 2019; 19(1): 67–81. DOI: 10.1080/14737175.2019.1550361
11. Ziani P.R., Feiten J.G., Goularte J.F., Colombo R. et al. Potential candidates for biomarkers in bipolar disorder: a proteomic approach through systems biology. Clin. Psychopharmacol. Neurosci. 2022; 20(2): 211–27. DOI: 10.9758/cpn.2022.20.2.211
12. Bi B., Che D., Bai Y. Neural network of bipolar disorder: toward integration of neuroimaging and neurocircuit-based treatment strategies. Transl. Psychiatry. 2022; 12(1): 143. DOI: 10.1038/s41398-022-01917-x
13. Bedwell J.S., Spencer C.C., Chan C.C., Butler P.D. et al. The P1 visual-evoked potential, red light, and transdiagnostic psychiatric symptoms. Brain Res. 2018; 1687: 144–54. DOI: 10.1016/j.brainres.2018.03.002
14. Feuerriegel D., Churches O., Hofmann J., Keage H.A.D. The N170 and face perception in psychiatric and neurological disorders: a systematic review. Clin. Neurophysiol. 2015; 126(6): 1141–58. DOI: 10.1016/j.clinph.2014.09.015
15. Tso I.F., Grove T.B., Mueller S.A., O'Donnell L. et al. Altered N170 and mood symptoms in bipolar disorder: an electrophysiological study of configural face processing. Bipolar Disord. 2017: DOI: 10.1111/bdi.12587
16. Wada M., Kurose S., Miyazaki T., Nakajima S. et al. The P300 eventrelated potential in bipolar disorder: a systematic review and metaanalysis. J. Affect. Disord. 2019; 256: 234–49. DOI: 10.1016/j.jad.2019.06.010
17. Sacher J., Neumann J., Okon-Singer H., Gotowiec S. et al. Sexual dimorphism in the human brain: evidence from neuroimaging. Magnetic Resonance Imag. 2013; 1(3): 36675. DOI: 10.1016/j.mri.2012.06.007
18. Whittle S., Yücel M., Yap M.B.H., Allen N.B. Sex differences in the neural correlates of emotion: evidence from neuroimaging. Biol. Psychol. 2011; 87(3): 319–33. DOI: 10.1016/j.biopsycho.2011.05.003
19. McEwen B.S., Milner T.A. Understanding the broad influence of sex hormones and sex differences in the brain. J. Neurosci. Res. 2017; 95(1–2): 24–39. DOI: 10.1002/jnr.23809
20. Mnatsakanian E.V., Krjukov V.V., Krasnov V.N. Gender-related differences in emotional modulation of visual brain responses in patients with recurrent depression. Doctor.Ru. 2020; 19(9): 77–82. (in Russian). DOI: 10.31550/1727-2378-2020-19-9-77-82
21. McNally R.J. Attentional bias for threat: crisis or opportunity? Clin. Psychol. Rev. 2019; 69: 4–13. DOI: 10.1016/j.cpr.2018.05.005
22. Hamilton M. Development of a rating scale for primery depressive illness. Br. J. Soc. Clin. Psychol. 1967; 6(4): 278–96. DOI: 10.1111/j.2044-8260.1967.tb00530.x
23. Hamilton M. Standardized assessment and recording of depressive symptoms. Psychiatr. Neural Neurochi. 1969; 72(2): 201–5.
24. Hamilton M. The assessment of anxiety states by rating. Br. J. Med. Psychol. 1959; 32(1): 50–2. DOI: 10.1111/j.2044-8341.1959.tb00467.x
25. Zigmond A.S., Snaith R.P. The hospital anxiety and depression scale. Acta Psychiatr. Scand. 1983; 67(6): 361–70. DOI: 10.1111/j.1600-0447.1983.tb09716.x
26. Gupta R.S., Kujawa A., Vago D.R. The neural chronometry of threat-related attentional bias: event-related potential (ERP) evidence for early and late stages of selective attentional processing. Int. J. Psychophysiol. 2019; 146: 20–42. DOI: 10.1016/j.ijpsycho.2019.08.006
27. Almeida P.R., Ferreira-Santos F., Chaves P.L., Paiva T.O. et al. Perceived arousal of facial expressions of emotion modulates the N170, regardless of emotional category: time domain and time– frequency dynamics. Int. J. Psychophysiol. 2016; 99: 48–56. DOI: 10.1016/j.ijpsycho.2015.11.017
28. Hinojosa J.A., Mercado F., Carretié L. N170 sensitivity to facial expression: a meta¬analysis. Neurosci. Biobehav. Rev. 2015; 55: 498–509. DOI: 10.1016/j.neubiorev.2015.06.002
29. Yang Y.-F., Brunet-Gouet E., Burca M., Kalunga E.K. et al. Brain processes while struggling with evidence accumulation during facial emotion recognition: an ERP study. Front. Hum. Neurosci. 2020; 14: 340. DOI: 10.3389/fnhum.2020.00340
30. Barry R.J., Steiner G.Z., De Blasio F.M., Fogarty J.S. et al. Components in the P300: don't forget the novelty P3! Psychophysiology. 2020; 57(7): e13371. DOI: 10.1111/psyp.13371
31. Hajcak G., Foti D. Significance?& Significance! Empirical, methodological, and theoretical connections between the late positive potential and P300 as neural responses to stimulus significance: an integrative review. Psychophysiology. 2020; 57(5): e13570. DOI: 10.1111/psyp.13570
32. Myruski S., Bonanno G.A., Cho H., Fan B. et al. The late positive potential as a neurocognitive index of regulatory flexibility. Biol. Psychol. 2019; 148: 107768. DOI: 10.1016/j.biopsycho.2019.107768
33. Savage H.S., Davey C.G., Fullana M.A., Harrison B.J. Clarifying the neural substrates of threat and safety reversal learning in humans. Neuroimage. 2020; 207: 116427. DOI: 10.1016/j.neuroimage.2019.116427
34. Liu Y., Huang H., McGinnis-Deweese M., Keil A. et al. Neural substrate of the late positive potential in emotional processing. J. Neurosci. 2012; 32(42): 14563–72. DOI: 10.1523/JNEUROSCI.3109-12.2012
35.
Review
For citations:
Mnatsakanian E.V., Kryukov V.V., Zharkova A.S., Krasnov V.N. Differences in Modulation of Brain Responses to Emotional Stimuli in Men and Women with Bipolar Depression. Title. 2022;21(8):72-77. (In Russ.) https://doi.org/10.31550/1727-2378-2022-21-8-72-77