Introduction
Bipolar disorder (BD), especially in its softer expressions1 , 2, is associated with professional success and increased creativity3. Although Jamison3 contends that the relationship between creativity and BD may be at the trait or temperament level4 and it is influenced by cognitive function and symptoms5. Little is known about the biological underpinnings of creativity in BD, although psychological, neuropsychological and functional imaging studies in healthy subjects have indicated the potential role of the dopaminergic system6 - 9.
Dopaminergic pathways project into numerous brain areas implicated in the pathophysiology of BD10. Historically, dopaminergic models of BD have been dichotomous and support both dopamine (DA) excess in mania and deficiency in depression11. However, most of these models were conceptualized based on indirect evidence drawn from pharmacological and animal studies10. DA has been strongly implicated in motivation and reward systems12. Moreover, high DA has been reported to decrease inhibition of incoming stimuli from the surrounding environment13 , 14, a trait characteristic of creative individuals of higher intelligence15. Also, the ability to generate many different ideas about a topic in a short period (divergent thinking), a key aspect of creativity16, is present in mania and influenced by dopaminergic function. Furthermore, a recent study has reported an association between divergent thinking and DA receptor polymorphisms17.
Catechol-O-methyltransferase (COMT) is one of the main enzymes involved in the catabolism of DA18 and thus constitutes an important regulator of prefrontal cortical (PFC) dopaminergic levels19. The COMT gene single nucleotide polymorphism (SNP) rs4680 (also known as Val158Met) leads to a 35% to 50% reduction in the COMT enzyme in Met allele carriers (Met+)18. COMT SNP rs4680 Met+ has been linked to better performance on cognitive tests20 - 23 probably to an increment in PFC DA due to lower COMT activity. To our knowledge, only one study has investigated the association of COMT and creativity in healthy controls, and reported negative results17.
The objective of this research was to investigate the role of COMT functional polymorphism Val158Met in creativity scores of healthy controls, and BD patients in euthymia and during mood episodes. We hypothesized that carriers of the Met allele would have higher creativity scores than Met non-carriers due to lower COMT activity in the PFC.
Material and methods
Subjects
The patients sample comprised one-hundred-nineteen individuals with BD I, aged between 18 and 40 years old in euthymia (N = 42), manic (N = 44) or depressive (N = 33) episode according to DSM-IV TR criteria24. In the euthymic group 78.6% were using lithium, 52.4% were using anticonvulsants, 23.8% were using second generation antypsychotics, 16.7% were using antidepressants and 4.8% were using benzodiazepines ate the time of neuropsychological evaluation. Patients experiencing mood episodes were medication free. They were participants in the LICAVAL clinical trial25 and were evaluated immediately after a wash-out period of four weeks for antidepressants, mood stabilizers and antipsychotics, or of eight weeks for depot medications. Diagnosis were determined by trained psychiatrists using the Structured Clinical Interview (SCID-I)26 for DSM-IV TR24. The Young Mania Rating Scale (YMRS)27, and the Montgomery-Asberg Depression Rating Scale (MADRS)28 were used to evaluate the intensity of symptoms. Subjects with neurological disorders, previous head trauma, any illness requiring medical intervention, currently substance abuse, or who had undergone electroconvulsive therapy in the preceding six months, were excluded.
Ninety-seven healthy subjects, age 18-35 years, were recruited at the University of São Paulo (mostly medical students) to our controls group. Inclusion criteria were no psychiatric diagnosis (present or past) according to the evaluation by trained psychiatrists using The Mini International Neuropsychiatric Interview (M.I.N.I.)29, negative family history of mood or psychotic disorders (first degree), no use of any psychopharmacological agent, and no substance abuse over the last three months.
Creativity and intelligence assessment
Creativity test was out under standard conditions and scored by two trained neuropsychologists. Since it is known that intelligence and creativity are reported to be correlated (up to r = 0.50)30, it was necessary to rule out the possibility that significant associations between creativity and polymorphisms might merely reflected a relationship to intelligence. Intelligence Quotient (IQ) was assessed using the Wechsler Abbreviated Scale of Intelligence (WASI)31. Creativity was assessed using the Barrow Welsh Art Scale (BWAS). The BWAS32 is an empirically derived metric consisting of 86 black and white images that individuals rate as “like” or “dislike”, with higher scores reflecting preference for more asymmetrical and complex figures over more symmetrical and simple figures. Preference for more asymmetrical and complex figures is higher among artists than non-artists according to BWAS scores33. The BWAS scale could also reflect cognitive/affective contributions to creativity, as it involves not only visual processing, but also affective processing (“like” or “dislike”). Indeed, BWAS scores have been linked not only to creativity measured by other means but also to emotionality34.
Genotyping
DNA was extracted from peripheral blood according to the salting-out protocol35 and genotyped for COMT rs4680 using real-time PCR allelic discrimination. PCR amplification for rs4680 was performed in 5 μl reactions with 5 ng of template DNA, 1× TaqMan Universal Master Mix (Applied Biosystems, Foster City, CA), 1× each primer and probe assay, and H2O. Thermal cycling consisted of first denaturation for 10 min at 95 °C, followed by 40 cycles of denaturation at 95 °C for 15 s and annealing at 60 °C for 1 min. The allele-detection process and allelic discrimination were performed for 1 min at 60 °C on a 7500 Real-Time System (Applied Biosystems, Foster City, CA). Quality control of Real time PCR results was done by direct sequencing on a ABI PRISM® 3100 Genetic Analyzer (Applied Biosystems, Foster City, CA).
Statistical analysis
Groups of subjects were classified into four groups (euthymia, mania, depression and controls). Chi-square test was used for comparison of categorical data, and the ANOVA for continuous data. Turkey test was used for multivariable bias correction. BWAS total score was entered as a dependent variable in a MANOVA model using age, gender, education, rs4680 allele Met and WASI-IQ as covariates. The MANOVA model was separately tested in each of the four groups to test the effect of covariates in BWAS. The PASW statistics version 19.0 software (SPSS Inc., Chicago, Illinois) was used for all analyses.
Results
The COMT genotype distribution in the experimental was in accordance with the Hardy-Weinberg equilibrium (χ 2 = 0.79 p = 0.56) indicating that the samples were representative. Allelic distribution in the sample was 49.1% for allele Val and 50.8% for allele Met. Sociodemographic data of all four groups is presented in table 1.
Table 1 Comparison of sociodemographic characteristics, WASI-IQ, BWAS scores and allele Met prevalence in controls, euthymia, mania and depression groups
Gender (female/male) | Age | Education | WASI-IQ | BWAS | allele Met (Met+/Met-) | |
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Controls (N = 97) | 52/45 | 74/23 | ||||
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Mean | 24.3 | 13.9 | 110.5 | 24.1 | ||
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Std. Deviation | 4.7 | 2.4 | 16.0 | 13.1 | ||
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Euthymia (N = 42) | 27/15 | 33/19 | ||||
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Mean | 32.9 | 12.6 | 99.3 | 27.3 | ||
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Std. Deviation | 10.9 | 3.1 | 12.9 | 12.0 | ||
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Mania (N = 44) | 35/9 | 29/15 | ||||
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Mean | 29.3 | 12.2 | 95.2 | 25.3 | ||
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Std. Deviation | 5.3 | 3.5 | 14.1 | 11.4 | ||
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Depression (N = 33) | 18/15 | 20/13 | ||||
Mean | 26.9 | 12.6 | 97.3 | 17.3 | ||
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Std. Deviation | 5.2 | 2.4 | 12.3 | 10.4 | ||
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ANOVA | ||||||
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F | 18.5 | 4.3 | 15 | 3.8 | ||
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Sig | < 0.001 | 0.006 | < 0.001 | 0.01 | ||
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Turkey | M>D<E>C | M=D=E<C | M=D=E<C | M>D<E>C | ||
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Chi-Squared | 0.02 | 0.14 |
Univariate analysis of variance (MANOVA) in which the total score BWAS was entered as a dependent variable and age, gender, education, rs4680 allele Met and WASI-IQ as covariates revealed an influence of age (B = -0.84 p = 0.05) and allele Met (B = 7.05 p = 0.03) in BWAS score in healthy controls (Table 2). No influence of gender, education or IQ in BWAS was observed in controls. The same MANOVA model in mania group revealed that gender influenced BWAS score (B = 9.8 p = 0.02). Females in the manic group presented higher creativity scores. In the same manic group a trend was observed for the influence of allele Met on BWAS scores (B = -6.4 p = 0.08). No influence of age, education or IQ on BWAS total score was observed on the manic group.
Table 2 MANOVA model: BWAS total score was entered as a dependent variable and age, gender, education, rs4680 allele Met and WASI-IQ were entered as covariates
Dependent Variable: BWAS | |||||||
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Parameter | B | Std. Error | t | Sig. | Partial Eta Squared | Observed Power | |
Controls | |||||||
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(N = 97) | Age | -0.84 | 0.42 | -2.01 | 0.05 | 5% | 51% |
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Gender | -4.01 | 2.74 | -1.46 | 0.15 | 3% | 30% | |
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Education | 0.60 | 0.60 | 1.00 | 0.32 | 1% | 17% | |
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rs4680 allele Met | 7.05 | 3.12 | 2.26 | 0.03 | 6% | 61% | |
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WASI-IQ | -0.05 | 0.11 | -0.50 | 0.62 | 0% | 8% | |
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Mania | |||||||
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(N = 44) | Age | 0.07 | 0.31 | 0.22 | 0.83 | 0% | 6% |
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Gender | 9.86 | 4.10 | 2.40 | 0.02 | 14% | 65% | |
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Education | -0.49 | 0.54 | -0.90 | 0.37 | 2% | 14% | |
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rs4680 allele Met | -6.40 | 3.58 | -1.79 | 0.08 | 8% | 41% | |
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WASI-IQ | 0.02 | 0.14 | 0.13 | 0.89 | 0% | 5% | |
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Depression | |||||||
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(N = 33) | Age | -0.06 | 0.41 | -0.15 | 0.88 | 0% | 5% |
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Gender | -1.99 | 4.30 | -0.46 | 0.65 | 1% | 7% | |
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Education | -1.29 | 0.95 | -1.35 | 0.19 | 8% | 25% | |
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rs4680 allele Met | 6.74 | 4.48 | 1.51 | 0.15 | 10% | 30% | |
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WASI-IQ | 0.08 | 0.19 | 0.43 | 0.67 | 1% | 7% | |
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Euthymia | Age | 0.08 | 0.21 | 0.39 | 0.70 | 1% | 7% |
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(N = 42) | Gender | 1.74 | 4.93 | 0.35 | 0.73 | 0% | 6% |
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Education | -0.25 | 0.84 | -0.30 | 0.77 | 0% | 6% | |
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rs4680 allele Met | -0.22 | 7.17 | -0.03 | 0.98 | 0% | 5% | |
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WASI-IQ | 0.19 | 0.20 | 0.93 | 0.36 | 3% | 15% |
In the depression and euthymic groups the same MANOVA model revealed that none of the covariates influenced BWAS total score (Table 2).
Discussion
This is the first study investigating the role of COMT Val158Met in creativity output in bipolar I disorder. Moreover, this is also the first study to report a positive association between COMT rs4680, specifically allele Met, and higher scores on the BWAS in the healthy population. Carriers of allele Met present lower COMT enzyme activity in PFC18 , 19, and in the present study this same group was shown to have higher BWAS scores in the healthy control group. This finding confirms the recent hypothesis that COMT numbers among the candidate genes for creativity17. In the other hand, in BD the Met allele did not influence creativity in mood episodes or euthymia.
These findings reinforce the putative role of DA in creative abilities hypothesized based on pharmacological studies. In Parkinson’s disease (PD), the emergence of poetic talent36 and “compulsive” augmentation of artistic productivity37 have been reported in dopaminergic replacement therapy36. Furthermore, DA antagonists, such as typical antipsychotics, are reported to suppress creativity38. Functional imaging studies have shown that the creative thinking process is associated with increased PFC activity8 , 39. These reports are consistent with findings of reviews of creativity studies suggesting that the dopaminergic system, including the PFC, is associated with creativity8 , 40. Also, results of studies on COMT functional SNPs and the differential effects of D1 and D2 receptor binding, have clarified this association. The allele Met, associated with low-activity COMT, has been theoretically linked to decreases in phasic and increases in tonic DA transmission subcortically, and in increases DA concentrations cortically. This is associated with increased D1 and decreased D2 transmission in the PFC41, which have in turn been associated with higher creative achievement or psychosis15. Moreover this same SNP have been reported to modulate cognitive function in BD during mood episodes42.
Dopaminergic and other transmitter relationships to creativity have also been suggested in studies involving non-bipolar patients. A recent study reported an association between divergent thinking and dopamine receptor polymorphism. Higher creativity scores were observed in carriers of the A1 allele 17. The A1 allele of DRD2 (rs1800497) has a 30%-40% reduction in DA-D2 receptor density43. In the same study, these authors reported that carriers of the A allele of the serotonin polymorphism TPH1 A779C also had higher creativity scores17. In another study involving a sample of healthy subjects, Kéri studied a polymorphism in the promoter region of neuregulin 1 and found that the T allele was associated with higher creative scores44. Thus, further examination of the possible neurobiological underpinnings of the link between bipolar disorder and creativity are warranted, especially in those with lesser degrees of bipolarity at the trait level. Dopaminergic function should be investigated in cyclothymic and related temperaments, which the work of Akiskal et al. well as supportive evidence from Stanford45, and supportive evidence from Italian work46, suggest might be an underlying ingredient in creative work4. Andreasen and Canter’s early work had also implicated cyclothymic tendencies or disorder47.
Andreasen and Powers’ work also raised the possibility that over-inclusive thinking is characteristic for both mania and schizophrenia48. In bipolar disorder the thought processes are less extreme than in schizophrenia and might even be somewhat different qualitatively, and it may be that the overall thought impairment characteristic of schizophrenia restricts the execution of creativity.
There are many difficulties inherent to systematic studies of creativity, particularly methodological problems concerning the reliability and validity of creativity measures, and disagreements over the definition of creativity. The BWAS is not the only measure of creativity and other measures should be explored before drawing more definitive conclusions. In the present study, it was decided to examine the correlation between scores on a widely used scale for measuring creativity and the presence of functional polymorphism of COMT (rs4680), which likely influences PFC cognition, in a homogeneous sample of university students. Our results are also consistent with those reported in the literature investigating the role of DA and COMT in PFC function and cognition. However, no influence of COMT on IQ was evident, and BWAS and IQ scores were unrelated, further suggesting some degree of specificity in the association of COMT with creativity.
This study is the first to report findings that suggest the effects of COMT gene polymorphism may not be limited to isolated basal cognitive abilities, but could partially account for greater cognitive abilities related to creativity in healthy controls. In the other hand, we found evidence that creativity during BD episodes and euthymia is not associated with COMT DA catabolism activity in the PFC. Further studies involving larger samples should be conducted in an effort to replicate our findings. In addition, given the strong and consistent body of evidence indicating an association of bipolar spectrum disorders with creativity1 , 4 , 46, examining the association of COMT polymorphism with creativity in this population is now warranted.