Depression
Transkrypt
Depression
Depressive realism in neurobiological context Paweł Mazurkiewicz*, Małgorzata Zarzycka, Sylwia Purchla, Michał Denkiewicz, Dominika Nowicka Katarzyna Czajkowska, Anna Karcz, Michał Chiliński, Aleksandra Klemba, Halszka Kwiatkowska Student’s Society of Neurobiology, Warsaw University, Faculty of Biology, Warsaw http://www.biol.uw.edu.pl/sknn; *e-mail : [email protected] Depression – what is it? The term ”depression” dates from 1854. Jules Gabriel Francis Baillarger, a French psychiatrist, was the first to employ this term to designate a psychiatric affective disorder. The most common depression symptoms are: low mood, frequent anxiety attacks, negative self-image, lack of motivation and circadian rhythm disorders lasting more than two weeks. Hypotheses about neurochemical basis of depression emphasize the role of dopamine and serotonin. Decrease in the level of these two biogenic amines may result in loss of motivation. According to the World Health Organization, depression is the fourth major health problem in the world. About 17% of adults aged 35-50 suffer from this disease. Some theories consider depression to have an adaptative sense. Those theories stress the fact that depressives think in a more analytical manner. Aim of work * Does depressive realism phenomenon exist? *Is depressive realism, mainly associated with mild-depression, also connected with severe depression? *Is unrealistic optimism correlated with depression level? *Are positive and negative situations assessed similarly? Materials Chosen subjects underwent a Beck Depression Inventory test, Bem Sex Role Inventory test (IPP, polish version), NEO-Five Factor Inventory test (NEO-FFI) and an authorial realism-assessment tests based on Weinstein (1980) and Cypryańska and Krejtz (2005). Task 1 (based on Weinsteun) Proszę ocenić, z jakim prawdopodobieństwem, w stosunku do innych studentów tej samej płci w podobnym wieku, dana sytuacja może się Tobie przydarzyć, w skali od -7 do 7. Sample collection -108 subjects, 62% women and 38% men -students, from 19 to 26 years old Fig 1 Task 2 (based on Cypryańska and Krejtz) Masz przed sobą dwanaście hipotetycznych sytuacji losowych. Oceń prawdopodobieństwa w jakim te sytuacje mogą spotkać Ciebie / Twojego kolegę (w skali -3:+3) Fig 2 Fig.1. BDI test results. Goups chosen to further tests: nondepressives (a) 0-5 and depressives (b) 10-45 . Fig.2. BDI test results. Goups chosen to further tests: nondepressives: nondepressives (a) 0-5 [47,2%], mild depression (b) 10-16 [22,2%] and severe depression (c) 18-45 [15,7%]. Statistic work A Kruskal-Wallis one-way ANOVA was used to compare study groups and find statistically significant differences. In cases where KW ANOVA revealed the presence of between-groups differences, Mann-Whitney U-test was used to break down this general effect. Results Depressive realism Unrealistic optimism 3.1 p<0,001 Fig.3.1. Mean absolute evaluation of the possibility of positive situation occurence. 7. 6. p<0,05 Fig.3.2. Mean absolute evaluation of the possibility of negative situation occurence. B A 3.2 purple – depressives (realists/nonrealists) yellow – nondepressives (realists/nonrealists) arrows – mean results for realists/nonrealists. p<0,05 4. Fig. 6. Mean relative evaluation of the possibility of positive (A) and negative (B) situation occurence. Nondepressives overestimate the possibility of positive situation occurence and underestimate the possibility of negative situation occurence. 5. p<0,05 Fig.7. Mean relative evaluation of the possibility of positive (A) and negative (B) situation occurence for three groups. Nondepressives overestimate the possibility of positive situation occurence and underestimate the possibility of negative situation occurence. p<0,05 Neurobiology of depression A Fig.4. Mean absolute evaluation of the possibility of positive (A) and negative (B) situation occurence. Depressives are more accurate in predicting the possibility of positive and negative situation occurence. B Fig.5. Mean absolute evaluation of the possibility of positive (A) and negative (B) situation occurence for three groups. Subdepressives are the most accurate in predicting the possibility of positive situation occurence. After dividing the subjects into three groups there is no significant difference between nondepressives and subjects with severe depression. There is significant difference between nondepressives and mild-depressive group. Conclusions: 1. The results confirm the existence of depressive realism phenomenon. 2. The results suggest that depressive realism is related to mild depression. 3. Unrealistic optimism negatively correlates with the level of depression. * Functional asymmetry in parietal and frontal lobes in electroencephalography: increased activation in right hemisphere * sgACC (subgenual anterior cingulated cortex) : decreased volume of brain tissue, decreased activity of sgACC , reduced level of neroglia, altered density of neurons, reduced size of neural soma * rACC (rostral anterior cingulated cortex): increased volume of brain tissue * cACC (caudal anterior cingulated cortex ) References 1. Boes AD, McCormick LM, Coryell WH, Nopoulus N (2008) Rostral anterior cingulate cortex volume correlates with depressed mood in normal healthy children. Biol Psychiatry 63: 391-397. 2. Cypryańska M, Krejzt I (2005) Nierealistyczny optymizm - optymizm przewidywań czy zniekształcenia poznawcze przypadkiem optymistyczne? Studia Psychologiczne, tom 43: 37-48. 3. Hamann S (2005) Blue genes wiring the brain for depression. Nat Neurosci 8: 701-703. 4. Mayberg HS, Brannan SK, Tekell JL, Silva JA, Mahurin RK, McGinnis S, Jerabek PA (2000) Regional metabolic effects of fluoxetine in major depression: serial changes and relationship to clinical response. Biol Psychiatry 48: 830-43. 5. Schacter D, Addis DR (2006) The optimistic brain. Nat Neurosci 10: 1345-1347. 6. Sharot T, Riccardi AM, Raio C, Phelps EA (2007) Neural mechanisms mediating optimism bias. Nature 450: 102-105. 7. Weinstein ND (1980) Unrealistic optimism about future life events. J Personal Soc Psychol 39: 806-820. Acknowledgements This study was supported by the Faculty of Biology of the University of Warsaw and Rada Konsultacyjna ds. Finansowania Kół Naukowych UW. The realization of the project wouldn’t be possible without the support of Aneta Brzezicka, PhD, from the Warsaw School of Social Sciences and Humanities.