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Psychology
Cognitive Psychology

Creative cognition and systems biology on the edge of chaos

Profile image of Robert BilderRobert Bilder

2014, Frontiers in psychology

https://doi.org/10.3389/FPSYG.2014.01104
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Abstract
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This paper explores the intersection of creativity and systems biology through the lens of the 'edge of chaos' theory, as posited by Stuart Kauffman. It frames creativity as the product of a balance between novelty and utility within self-organizing systems, highlighting the role of neural dynamics in creative cognition. By examining the neuropsychopharmacological underpinnings of cognitive stability and flexibility, the paper suggests implications for mental health and the enhancement of creative processes.

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References (55)

  1. Abraham, A., and Windmann, S. (2008). Selective information processing advantages in creative cog- nition as a function of schizotypy. Creat. Res. J. 20, 1-6. doi: 10.1080/10400410701839819
  2. Abraham, A., Windmann, S., McKenna, P., and Gunturkun, O. (2007). Creative thinking in schizophrenia: the role of executive dysfunction and symptom severity. Cogn. Neuropsychiatry 12, 235-258. doi: 10.1080/13546800601046714
  3. Batey, M., and Furnham, A. (2008). The rela- tionship between measures of creativity and schizotypy. Pers. Individ. Dif. 45, 816-821. doi: 10.1016/j.paid.2008.08.014
  4. Bilder, M., Volavka, J., Lachman, H. M., and Grace, A. A. (2004). The catechol-O-methyltransferase polymorphism: relations to the tonic-phasic dopamine hypothesis and neuropsychiatric phenotypes. Neuropsychopharmacology 29, 1943-1961. doi: 10.1038/sj.npp.1300542
  5. Bilder, R. M. (2012). Executive control: balancing sta- bility and flexibility via the duality of evolutionary neuroanatomical trends. Dialogues Clin. Neurosci. 14, 39-47.
  6. Bilder, R. M., Lieberman, J. A., Kim, Y., Alvir, J. M., and Reiter, G. (1992). Methylphenidate and neuroleptic effects on oral word production in schizophrenia. Cogn. Behav. Neurol. 5, 262-271.
  7. Campbell, D. T. (1960). Blind variation and selective retention in creative thought as in other knowledge processes. Psychol. Rev. 67, 380-400.
  8. Chi, R. P., and Snyder, A. W. (2011). Facilitate insight by non-invasive brain stimulation. PLoS ONE 6:e16655. doi: 10.1371/journal.pone.0016655
  9. Christensen, B. K., and Bilder, R. M. (2000). Dual cytoarchitectonic trends: an evolutionary model of frontal lobe functioning and its applica- tion to psychopathology. Can. J. Psychiatry 45, 247-256.
  10. Chrysikou, E. G., Hamilton, R. H., Coslett, H. B., Datta, A., Bikson, M., and Thompson- Schill, S. L. (2013). Noninvasive transcranial direct current stimulation over the left pre- frontal cortex facilitates cognitive flexibility in tool use. Cogn. Neurosci. 4, 81-89. doi: 10.1080/17588928.2013.768221
  11. Colzato, L. S., Ozturk, A., and Hommel, B. (2012). Meditate to create: the impact of focused-attention and open-monitoring training on convergent and divergent thinking. Front. Psychol. 3:116. doi: 10.3389/fpsyg.2012.00116
  12. DeYoung, C. G. (2006). Higher-order factors of the Big Five in a multi-informant sample. J. Pers. Soc. Psychol. 91, 1138-1151. doi: 10.1037/0022- 3514.91.6.1138
  13. Dickstein, D. P., Nelson, E. E., McClure, E. B., Grimley, M. E., Knopf, L., Brotman, M. A., et al. (2007). Cognitive flexibility in pheno- types of pediatric bipolar disorder. J. Am. Acad. Child Adolesc. Psychiatry 46, 341-355. doi: 10.1097/chi.0b013e31802d0b3d
  14. Durstewitz, D., and Seamans, J. K. (2002). The computational role of dopamine D1 receptors in working memory. Neural Netw. 15, 561-572. doi: 10.1016/S0893-6080(02)00049-7
  15. Eisenman, R. (1990). Creativity, preference for com- plexity, and physical and mental illness. Creat. Res. J. 3, 231-236. doi: 10.1080/10400419009534355
  16. Enock, P. M., Hofmann, S. G., and McNally, R. J. (2014). Attention bias modification training via smartphone to reduce social anxiety: a random- ized, controlled multi-session experiment. Cogn. Ther. Res. 38, 200-216. doi: 10.1007/s10608-014- 9606-z
  17. Faust, M., and Kenett, Y. N. (2014). Rigidity, chaos and integration: hemispheric interaction and individual differences in metaphor com- prehension. Front. Hum. Neurosci. 8:511. doi: 10.3389/fnhum.2014.00511
  18. Flaherty, A. W. (2011). Brain illness and creativity: mechanisms and treatment risks. Can. J. Psychiatry 56, 132-143.
  19. Furnham, A., Batey, M., Anand, K., and Manfield, J. (2008). Personality, hypomania, intelligence and creativity. Pers. Individ. Dif. 44, 1060-1069. doi: 10.1016/j.paid.2007.10.035
  20. Ghacibeh, G. A., Shenker, J. I., Shenal, B., Uthman, B. M., and Heilman, K. M. (2006). Effect of vagus nerve stimulation on creativity and cog- nitive flexibility. Epilepsy Behav. 8, 720-725. doi: 10.1016/j.yebeh.2006.03.008
  21. Gorrindo, T., Blair, R. J. R., Budhani, S., Dickstein, D. P., Pine, D. S., and Leibenluft, E. (2005). Deficits on a probabilistic response-reversal task in patients with pediatric bipolar disorder. Am. J. Psychiatry 162, 1975-1977. doi: 10.1176/appi.ajp.162.10.1975
  22. Grossberg, S. (1999). Neural models of normal and abnormal behavior: what do schizophre- nia, parkinsonism, attention deficit disorder, and depression have in common? Prog. Brain Res. 121, 375-406. doi: 10.1016/S0079-6123(08)63084-8
  23. Grossberg, S. (2000). How hallucinations may arise from brain mechanisms of learning, attention, and volition. J. Int. Neuropsychol. Soc. 6, 583-592. doi: 10.1017/S135561770065508X
  24. Gruzelier, J. H. (2014). EEG-neurofeedback for opti- mising performance. II: creativity, the performing arts and ecological validity. Neurosci. Biobehav. Rev. 44, 142-158. doi: 10.1016/j.neubiorev.2013. 11.004
  25. Gruzelier, J. H., Foks, M., Steffert, T., Chen, M. J., and Ros, T. (2014a). Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children. Biol. Psychol. 95, 86-95. doi: 10.1016/j.biopsycho.2013.04.005
  26. Gruzelier, J. H., Holmes, P., Hirst, L., Bulpin, K., Rahman, S., van Run, C., et al. (2014b). Replication of elite music performance enhance- ment following alpha/theta neurofeedback and application to novice performance and improvisa- tion with SMR benefits. Biol. Psychol. 95, 96-107. doi: 10.1016/j.biopsycho.2013.11.001
  27. Hoffman, R. E., and Dobscha, S. K. (1989). Cortical pruning and the development of schizophrenia: a computer model. Schizophr. Bull. 15, 477-490.
  28. Horan, R. (2009). The neuropsychological connection between creativity and meditation. Creat. Res. J. 21, 199-222. doi: 10.1080/10400410902858691
  29. Jaracz, J., Patrzala, A., and Rybakowski, J. K. (2012). Creative thinking deficits in patients with schizophrenia: neurocognitive corre- lates. J. Nerv. Ment. Dis. 200, 588-593. doi: 10.1097/NMD.0b013e31825bfc49
  30. Karimi, Z., Windmann, S., Gunturkun, O., and Abraham, A. (2007). Insight problem solving in individuals with high versus low schizotypy. J. Res. Pers. 41, 473-480. doi: 10.1016/j.jrp.2006.03.008
  31. Kauffman, S. (1995). At Home in the Universe: the Search for Laws of Self-Organization and Complexity. New York, NY: Oxford.
  32. Kauffman, S. A. (1993). The Origins of Order: Self Organization and Selection in Evolution. New York, NY: Oxford University Press.
  33. Kaufman, S. B. (2014). The Controlled Chaos of Creativity in Beautiful Minds. New York, NY: Scientific American.
  34. Kinney, D. K., Richards, R., Lowing, P. A., LeBlanc, D., Zimbalist, M. E., and Harlan, P. (2001). Creativity in offspring of schizophrenic and control parents: an adoption study. Creat. Res. J. 13, 17-25. doi: 10.1207/S15326934CRJ1301_3
  35. Lutz, A., Brefczynski-Lewis, J., Johnstone, T., and Davidson, R. J. (2008a). Regulation of the neural circuitry of emotion by compassion meditation: effects of meditative expertise. PLoS ONE 3:e1897. doi: 10.1371/journal.pone.0001897
  36. Lutz, A., Slagter, H. A., Dunne, J. D., and Davidson, R. J. (2008b). Attention regulation and monitoring in meditation. Trends Cogn. Sci. 12, 163-169. doi: 10.1016/j.tics.2008.01.005
  37. McClure, S., Gilzenrat, M. S., and Cohen, J. D., (2006). An exploration-exploitation model based on norepinepherine and dopamine activ- ity. Adv. Neural Inf. Process. Syst. 18, 867. doi: 10.1080/026999399379069
  38. McGlashan, T. H., and Hoffman, R. E. (2000). Schizophrenia as a disorder of developmen- tally reduced synaptic connectivity. Arch. Gen. Psychiatry 57, 637-648. doi: 10.1001/archpsyc. 57.7.637
  39. Metuki, N., Sela, T., and Lavidor, M. (2012). Enhancing cognitive control components of insight problems solving by anodal tDCS of the left dorsolateral prefrontal cortex. Brain Stimul. 5, 110-115. doi: 10.1016/j.brs.2012.03.002
  40. Monastra, V. (2008). Quantitative electroencephalog- raphy and attention-deficit/hyperactivity disorder: implications for clinical practice. Curr. Psychiatry Rep. 10, 432-438. doi: 10.1007/s11920-008-0069-3
  41. Nelson, B., and Rawlings, D. (2010). Relating schizo- typy and personality to the phenomenology of creativity. Schizophr. Bull. 36, 388-399. doi: 10.1093/schbul/sbn098
  42. Nitsche, M. A., Kuo, M.-F., Grosch, J., Bergner, C., Monte-Silva, K., and Paulus, W. (2009). D1-receptor impact on neuroplasticity in humans. J. Neurosci. 29, 2648-2653. doi: 10.1523/JNEUROSCI.5366-08.2009
  43. Paulus, M. P., Bilder, R. M., Lieberman, J. A., Prahdan, N., Rapp, P. E., and Sreenivasan, R. (1999). "Complex dysregulation in sequential organiza- tion and dysregulation in dopaminergic mod- ulation in first episode schizophrenia patients," in Nonlinear Dynamics and Brain Functioning, eds N. Pradhan, P. E. Rapp, and R. Sreenivasan (Huntington, NY: Nova), 309-326. doi: 10.1080/ 026999399379069
  44. Richards, R., Kinney, D. K., Lunde, I., Benet, M., and Merzel, A. P. (1988). Creativity in manic- depressives, cyclothymes, their normal relatives, and control subjects. J. Abnorm. Psychol. 97, 281-288. doi: 10.1037/0021-843X.97.3.281
  45. Rothenberg, A. (1983). Psychopathology and cre- ative cognition. A comparison of hospitalized patients, Nobel laureates, and controls. Arch. Gen. Psychiatry 40, 937-942.
  46. Runco, M. A., and Jaeger, G. J. (2012). The standard definition of creativity. Creat. Res. J. 24, 92-96. doi: 10.1080/10400419.2012.650092
  47. Rybakowski, J. K., and Klonowska, P. (2011). Bipolar mood disorder, creativity and schizotypy: an experimental study. Psychopathology 44, 296-302. doi: 10.1159/000322814
  48. Schaller, G., Lenz, B., Friedrich, K., Dygon, D., Richter-Schmidinger, T., Sperling, W., et al. (2013). No evidence for effects of a high- frequency repetitive transcranial magnetic stim- ulation series on verbal and figural fluency and TAP task performance in healthy male volunteers. Neuropsychobiology 67, 69-73. doi: 10.1159/000343502
  49. Schuldberg, D. (2000). Six subclinical spectrum traits in normal creativity. Creat. Res. J. 13, 5-16. doi: 10.1207/S15326934CRJ1301_2
  50. Shapiro, P. J., and Weisberg, R. W., (1999). Creativity and bipolar diathesis: common behavioural and cognitive components. Cogn. Emot. 13, 741-762. doi: 10.1080/026999399379069
  51. Siegel, D. J. (2010). Mindsight: The New Science of Personal Transformation. New York, NY: Random House LLC.
  52. Simonton, D. K. (2011a). Creativity and discov- ery as blind variation and selective retention: multiple-variant definition and blind-sighted inte- gration. Psychol. Aesthetics Creat. Arts 5, 222. doi: 10.1037/a0023144
  53. Simonton, D. K. (2011b). Creativity and discovery as blind variation: Campbell's (1960). BVSR model after the half-century mark. Rev. Gen. Psychol. 15, 158. doi: 10.1037/a0022912
  54. Slagter, H. A., Davidson, R. J., and Lutz, A. (2011). Mental training as a tool in the neuroscientific study of brain and cognitive plasticity. Front. Hum. Neurosci. 5:17. doi: 10.3389/fnhum.2011. 00017
  55. Studer, P., Kratz, O., Gevensleben, H., Rothenberger, A., Moll, G. H., Hautzinger, M., et al. (2014). Slow cortical potential and theta/beta neuro- feedback training in adults: effects on attentional processes and motor system excitability. Front. Hum. Neurosci. 8:555. doi: 10.3389/fnhum.2014. 00555

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