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15 - Free Association, Divergent Thinking, and Creativity: Cognitive and Neural Perspectives

from Part IV - Memory and Language

Published online by Cambridge University Press:  19 January 2018

By
Tali R. Marron  and
Miriam Faust
Edited by
Rex E. Jung  and
Oshin Vartanian
Rex E. Jung
Affiliation:
University of New Mexico
Oshin Vartanian
Affiliation:
University of Toronto
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The Cambridge Handbook of the Neuroscience of Creativity , pp. 261 - 280
Publisher: Cambridge University Press
Print publication year: 2018

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References

Abdullaev, Y. G., & Posner, M. I. (1998). Event-related brain potential imaging of semantic encoding during processing single words. NeuroImage, 7, 1–13.CrossRefGoogle ScholarPubMed
Adams, J. L. (2001). Conceptual blockbusting: A guide to better ideas. New York, NY: Basic Books.Google Scholar
Anderson, M. C., Ochsner, K. N., Kuhl, B., Cooper, J., Robertson, E., Gabrieli, S. W., … Gabrieli, J. D. E. (2004). Neural systems underlying the suppression of unwanted memories. Science, 203, 232–235.CrossRefGoogle Scholar
Arzouan, Y., Goldstein, A., & Faust, M. (2007). Brainwaves are stethoscopes: ERP correlates of novel metaphor comprehension. Brain Research, 1160, 69–81.CrossRefGoogle ScholarPubMed
Baas, M., De Dreu, C. K., & Nijstad, B. A. (2008). A meta-analysis of 25 years of mood-creativity research: Hedonic tone, activation, or regulatory focus?. Psychological Bulletin, 134(6), 779–806.CrossRefGoogle ScholarPubMed
Baird, B., Smallwood, J., Mrazek, M. D., Kam, J. W., Franklin, M. S., & Schooler, J. W. (2012). Inspired by distraction: Mind wandering facilitates creative incubation. Psychological Science, 23(10), 1117–1122.CrossRefGoogle ScholarPubMed
Beaty, R. E., Benedek, M., Kaufman, S. B., & Silvia, P. J. (2015). Default and executive network coupling supports creative idea production. Scientific Reports, 5.CrossRefGoogle Scholar
Beaty, R. E., Benedek, M., Wilkins, R. W., Jauk, E., Fink, A., Silvia, P. J., … Neubauer, A. C. (2014). Creativity and the default network: A functional connectivity analysis of the creative brain at rest. Neuropsychologia, 64, 92–98.CrossRefGoogle ScholarPubMed
Beaty, R. E., Silvia, P. J., Nusbaum, E. C., Jauk, E., & Benedek, M. (2014). The roles of associative and executive processes in creative cognition. Memory & Cognition, 42, 1186–1197.CrossRefGoogle ScholarPubMed
Bechtereva, N. P., Korotkov, A. D., Pakhomov, S., Roudas, M. S., Starchenko, M. G., & Medvedev, S. V. (2004). PET study of brain maintenance of verbal creative activity. International Journal of Psychophysiology, 53, 11–20.CrossRefGoogle ScholarPubMed
Beeman, M. (1998). Coarse semantic coding and discourse comprehension. In Beeman, M., & Chiarello, C. (Eds.), Right hemisphere language comprehension (pp. 255–284). Mahwah, NJ: Erlbaum.Google Scholar
Benedek, M., Fink, A., & Neubauer, A. C. (2006). Enhancement of ideational fluency by means of computer-based training. Creativity Research Journal, 18, 317–328.CrossRefGoogle Scholar
Benedek, M., Jauk, E., Fink, A., Koschutnig, K., Reishofer, G., Ebner, F., & Neubauer, A. C. (2014). To create or to recall? Neural mechanisms underlying the generation of creative new ideas. NeuroImage, 88, 125–133.CrossRefGoogle ScholarPubMed
Benedek, M., Könen, T., & Neubauer, A. C. (2012). Associative abilities underlying creativity. Psychology of Aesthetics, Creativity, and the Arts, 6, 273–281.CrossRefGoogle Scholar
Benedek, M., Mühlmann, C., Jauk, , , E., & Neubauer, A. C. (2013). Assessment of divergent thinking by means of the subjective top-scoring method: Effects of the number of top-ideas and time-on-task on reliability and validity. Psychology of Aesthetics, Creativity, and the Arts, 7, 341–349.CrossRefGoogle ScholarPubMed
Benedek, M., & Neubauer, A. C. (2013). Revisiting Mednick’s model on creativity-related differences in associative hierarchies. Evidence for a common path to uncommon thought. The Journal of Creative Behavior, 47, 273–289.CrossRefGoogle Scholar
Berant, E. (2009). Attachment styles, the Rorschach and the Thematic Apperception Test: Using the traditional projective measures to assess aspects of attachment. In Obegi, J. H., & Berant, E. (Eds.), Attachment theory and research in clinical work with adults (pp. 181–208). New York, NY: Guilford Press.Google Scholar
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009). Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral Cortex, 19, 2767–2796.CrossRefGoogle ScholarPubMed
Bollas, C. (2013). The infinite question. London: Routledge.Google Scholar
Bordin, E. S. (1966). Free association: An experimental analogue of the psychoanalytic situation. In Gottschalk, L. A., & Auerbach, A. H. (Eds.), Methods of research in psychotherapy (pp. 189–208). New York, NY: Springer.CrossRefGoogle Scholar
Brunyé, T. T., Moran, , Cantelon, J. M., Holmes, J., Eddy, A., Mahoney, M. D., , C. R., & Taylor, H. A. (2015). Increasing breadth of semantic associations with left frontopolar direct current brain stimulation: A role for individual differences. NeuroReport, 26, 296–301.CrossRefGoogle ScholarPubMed
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38.CrossRefGoogle ScholarPubMed
Busch, F. (1998). Rethinking clinical technique. Lanham, MD: Jason Aronson.Google Scholar
Caron, A. J., Unger, S. M., & Parloff, M. B. (1963). A test of Maltzman’s theory of originality training. Journal of Verbal Learning and Verbal Behavior, 1, 436–442.CrossRefGoogle Scholar
Carson, S. H., Peterson, J. B., & Higgins, D. M. (2003). Decreased latent inhibition is associated with increased creative achievement in high-functioning individuals. Journal of Personality and Social Psychology, 85, 499–506.CrossRefGoogle ScholarPubMed
Cattell, J. M., Bryant, S., Stout, G. F., Edgeworth, F. Y., Hughes, E. P., & Collet, C. E. (1889). Mental association investigated by experiment. Mind, 14, 230–250.CrossRefGoogle Scholar
Chand, I., & Runco, M. A. (1993). Problem finding skills as components in the creative process. Personality and Individual Differences, 14, 155–162.CrossRefGoogle Scholar
Chávez-Eakle, R. A., Graff-Guerrero, A., García-Reyna, J. C., Vaugier, , , V., & Cruz-Fuentes, C. (2007). Cerebral blood flow associated with creative performance: A comparative study. NeuroImage, 38, 519–528.CrossRefGoogle ScholarPubMed
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009). Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences, 106, 8719–8724.CrossRefGoogle ScholarPubMed
Christoff, K., Gordon, A. M., & Smith, R. (2011). The role of spontaneous thought in human cognition. In Vartanian, O., & Mandel, D. R. (Eds.), Neuroscience of decision making (pp. 259–284). New York, NY: Psychology Press.Google Scholar
Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, 82, 407–428.CrossRefGoogle Scholar
De Deyne, S., Navarro, D. J., & Storms, G. (2013). Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations. Behavior Research Methods, 45, 480–498.CrossRefGoogle ScholarPubMed
De Deyne, S., & Storms, G. (2008). Word associations: Network and semantic properties. Behavior Research Methods, 40, 213–231.CrossRefGoogle ScholarPubMed
Depue, B. E., Curran, T., & Banich, M. T. (2007). Prefrontal regions orchestrate suppression of emotional memories via a two-phase process. Science, 317, 215–219.CrossRefGoogle Scholar
Dijksterhuis, A., & Meurs, T. (2006). Where creativity resides: The generative power of unconscious thought. Consciousness and Cognition, 15, 135–146.CrossRefGoogle ScholarPubMed
Dorfman, L., Martindale, C., Gassimova, V., & Vartanian, O. (2008). Creativity and speed of information processing: A double dissociation involving elementary versus inhibitory cognitive tasks. Personality and Individual Differences, 44, 1382–1390.CrossRefGoogle Scholar
Ellamil, M., Dobson, C., Beeman, M., & Christoff, K. (2012). Evaluative and generative modes of thought during the creative process. NeuroImage, 59, 1783–1794.CrossRefGoogle ScholarPubMed
Eysenck, H. J. (1993). Creativity and personality: Suggestions for a theory. Psychological Inquiry, 4, 147–178.CrossRefGoogle Scholar
Eysenck, H. J. (1995). Genius: The natural history of creativity (Vol. 12). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Faust, M. (2012). Thinking outside the left box: The role of the right hemispheres in novel metaphor comprehension. In Faust, M. (Ed.), The handbook of the neuropsychology of language (pp. 425–448). Malden, MA: Wiley-Blackwell.CrossRefGoogle Scholar
Faust, M., & Mashal, N. (2007). The role of the right cerebral hemisphere in processing novel metaphoric expressions taken from poetry: A divided visual field study. Neuropsychologia, 45, 860–870.CrossRefGoogle ScholarPubMed
Fink, A., Grabner, R. H., Benedek, M., Reishofer, G., Hauswirth, V., Fally, M., … Neubauer, A. C. (2009). The creative brain: Investigation of brain activity during creative problem solving by means of EEG and fMRI. Human Brain Mapping, 30, 734–748.CrossRefGoogle ScholarPubMed
Fink, A., Grabner, R. H., Gebauer, D., Reishofer, G., Koschutnig, K., & Ebner, F. (2010). Enhancing creativity by means of cognitive stimulation: Evidence from an fMRI study. NeuroImage, 52, 1687–1695.CrossRefGoogle ScholarPubMed
Fink, A., & Neubauer, A. C. (2006). EEG alpha oscillations during the performance of verbal creativity tasks: Differential effects of sex and verbal intelligence. International Journal of Psychophysiology, 62, 46–53.CrossRefGoogle ScholarPubMed
Fink, A., Weber, B., Koschutnig, K., Benedek, M., Reishofer, G., Ebner, F., … Weiss, E. M. (2014). Creativity and schizotypy from the neuroscience perspective. Cognitive, Affective, & Behavioral Neuroscience, 14, 378–387.CrossRefGoogle ScholarPubMed
Freedman, J. L. (1965). Increasing creativity by free-association training. Journal of Experimental Psychology, 69, 89–91.CrossRefGoogle ScholarPubMed
Freud, S. (1958). Recommendations to physicians practicing psycho-analysis. In Strachey, J. (Ed. & Trans.), The standard edition of the complete psychological works of Sigmund Freud (Vol. 7, pp. 109–120). London: Hogarth Press. (Original work published in 1912.)Google Scholar
Frick, J. W., Guilford, J. P., Christensen, P. R., & Merrifield, P. R. (1959). A factor-analytic study of flexibility in thinking. Educational and Psychological Measurement, 19, 469–496.CrossRefGoogle Scholar
Galton, F. (1879). Psychometric experiments. Brain, 2, 149–162.CrossRefGoogle Scholar
Gedo, J. E. (1990). More on creativity and its vicissitudes. In Runco, M., & Albert, R. S. (Eds.), Theories of creativity (pp. 35–45). London: SAGE Publications.Google Scholar
Georgsdottir, A. S., Lubart, T. I., & Getz, I. (2003). The role of flexibility in innovation. In Shavinina, L. V. (Ed.), The international handbook on innovation (pp. 180–190). Oxford: Elsevier.CrossRefGoogle Scholar
Gilhooly, K. J., Fioratou, E., Anthony, S. H., & Wynn, V. (2007). Divergent thinking: Strategies and executive involvement in generating novel uses for familiar objects. British Journal of Psychology, 98, 611–625.CrossRefGoogle ScholarPubMed
Goel, V., & Vartanian, O. (2005). Dissociating the roles of right ventral lateral and dorsal lateral prefrontal cortex in generation and maintenance of hypotheses in set-shift problems. Cerebral Cortex, 15, 1170–1177.CrossRefGoogle ScholarPubMed
Gough, H. G. (1976). Studying creativity by means of word association tests. Journal of Applied Psychology, 61, 348–353.CrossRefGoogle Scholar
Gruberger, M., Simon, E. B., Levkovitz, Y., Zangen, A., & Hendler, T. (2011). Towards a neuroscience of mind-wandering. Frontiers in Human Neuroscience, 5, 1–11.CrossRefGoogle ScholarPubMed
Guilford, J. P. (1950). Creativity. American Psychologist, 5, 444–454.CrossRefGoogle ScholarPubMed
Guilford, J. P. (1951). Guilford test for creativity. Beverly Hills, CA: Sheridan Supply Company.Google Scholar
Guilford, J. P. (1968). Intelligence, creativity, and their educational implications. San Diego, CA: RR Knapp.Google Scholar
Isen, A. M., & Daubman, K. A. (1984). The influence of affect on categorization. Journal of Personality and Social Psychology, 47, 1206–1217.CrossRefGoogle Scholar
Jung, C. G. (1910). The association method. American Journal of Psychology, 21, 219–269.CrossRefGoogle Scholar
Jung, R. E., Mead, B. S., Carrasco, J., & Flores, R. A. (2013). The structure of creative cognition in the human brain. Frontiers in Human Neuroscience, 7, Article 330.CrossRefGoogle ScholarPubMed
Jung, R. E., Segall, J. M., Jeremy Bockholt, H., Flores, R. A., Smith, S. M., Chavez, R. S., & Haier, R. J. (2010). Neuroanatomy of creativity. Human Brain Mapping, 31, 398–409.CrossRefGoogle ScholarPubMed
Jung-Beeman, M. (2005). Bilateral brain processes for comprehending natural language. Trends in Cognitive Neuroscience, 9, 512–518.CrossRefGoogle ScholarPubMed
Jung-Beeman, M., Bowden, E. M., Haberman, J., Frymiare, J. L., Arambel-Liu, S., Greenblatt, R., … Kounios, J. (2004). Neural activity when people solve verbal problems with insight. PLoS Biology, 2, 500–510.CrossRefGoogle ScholarPubMed
Kaufman, J. C., Plucker, J. A., & Baer, J. (2008). Essentials of creativity assessment (Vol. 53). New York, NY: John Wiley & Sons.Google Scholar
Kehyayan, A., Best, K., Schmeing, J. B., Axmacher, N., & Kessler, H. (2013). Neural activity during free association to conflict–related sentences. Frontiers in Human Neuroscience, 7, Article 705.CrossRefGoogle ScholarPubMed
Kenett, Y. N. (2016). Going the extra creative mile: The role of semantic distance in creativity – Theory, research, and measurement. In Vartanian, O., & Jung, R. E. (Eds.), The Cambridge handbook of the neuroscience of creativity. Cambridge: Cambridge University Press.Google Scholar
Kenett, Y. N., Anaki, D., & Faust, M. (2014). Investigating the structure of semantic networks in low and high creative persons. Frontiers in Human Neuroscience, 8, Article 407.CrossRefGoogle ScholarPubMed
Kent, G. H., & Rosanoff, A. J. (1910). A study of association in insanity. American Journal of Psychiatry, 67, 37–96.CrossRefGoogle Scholar
Kris, A. O. (1996). Free association: Method and process (revised edition). London: Karnac.Google Scholar
Kühn, S., Ritter, S. M., Müller, B. C., Baaren, , Brass, R. B., , M., & Dijksterhuis, A. (2014). The importance of the default mode network in creativity – A structural MRI study. The Journal of Creative Behavior, 48, 152–163.CrossRefGoogle Scholar
Kwiatkowski, J., Vartanian, O., & Martindale, C. (1999). Creativity and speed of mental processing. Empirical Studies of the Arts, 17, 187–196.CrossRefGoogle Scholar
Laird, A. R., Eickhoff, S. B., Li, K., Robin, D. A., Glahn, D. C., & Fox, P. T. (2009). Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling. The Journal of Neuroscience, 29, 14496–14505.CrossRefGoogle ScholarPubMed
Lee, C. S., & Therriault, D. J. (2013). The cognitive underpinnings of creative thought: A latent variable analysis exploring the roles of intelligence and working memory in three creative thinking processes. Intelligence, 41, 306–320.CrossRefGoogle Scholar
Levin, I. (1978). Creativity and two modes of associative fluency: Chains and stars. Journal of Personality, 46, 426–437.CrossRefGoogle Scholar
Maltzman, I. (1960). On the training of originality. Psychological Review, 67(4), 229–242.CrossRefGoogle ScholarPubMed
Maltzman, I., Bogartz, W., & Breger, L. (1958). A procedure for increasing word association originality and its transfer effects. Journal of Experimental Psychology, 56, 392–398.CrossRefGoogle ScholarPubMed
Maltzman, I., Simon, S., Raskin, D., & Licht, L. (1960). Experimental studies in the training of originality. Psychological Monographs: General and Applied, 74, 1–23.Google Scholar
Marron, T. R., Lerner, Y., Berant, E., Kinreich, S., Shapira-Lichter, I., Hendler, T., & Faust, M. (in preparation). Chain free association, creativity, and the default mode network.Google Scholar
Marupaka, N., Iyer, L. R., & Minai, A. A. (2012). Connectivity and thought: The influence of semantic network structure in a neurodynamical model of thinking. Neural Networks, 32, 147–158.CrossRefGoogle Scholar
Mashal, N., Faust, M., & Hendler, T. (2005). The role of the right hemisphere in processing nonsalient metaphorical meanings: Application of principal components analysis to fMRI data. Neuropsychologia, 43, 2084–2100.CrossRefGoogle ScholarPubMed
Mashal, N., Faust, M., Hendler, T., & Jung-Beeman, M. (2007). An fMRI investigation of the neural correlates underlying the processing of novel metaphoric expressions. Brain and Language, 100, 111–122.CrossRefGoogle ScholarPubMed
Mason, M. F., & Bar, M. (2012). The effect of mental progression on mood. Journal of Experimental Psychology: General, 141, 217–221.CrossRefGoogle ScholarPubMed
May, F., & Metcalf, A. (1965). A factor-analytic study of spontaneous flexibility measures. Educational and Psychological Measurement, 25, 1039–1050.CrossRefGoogle Scholar
McEvoy, C. L., & Nelson, D. L. (1982). Category name and instance norms for 106 categories of various sizes. The American Journal of Psychology, 95, 581–634.CrossRefGoogle Scholar
Mednick, M. T., Mednick, S. A., & Jung, C. C. (1964). Continual association as a function of level of creativity and type of verbal stimulus. The Journal of Abnormal and Social Psychology, 69, 511.CrossRefGoogle ScholarPubMed
Mednick, S. A. (1962). The associative basis of the creative process. Psychological Review, 69, 220–232.CrossRefGoogle ScholarPubMed
Mednick, S. A. (1968). The Remote Associates Test. The Journal of Creative Behavior, 2, 213–214.CrossRefGoogle Scholar
Mendelsohn, G. A. (1976). Associative and attentional processes in creative performance. Journal of Personality, 44, 341–369.CrossRefGoogle Scholar
Merten, T., & Fischer, I. (1999). Creativity, personality and word association responses: Associative behaviour in forty supposedly creative persons. Personality and Individual Differences, 27, 933–942.CrossRefGoogle Scholar
Miller, B. J., Russ, D., Gibson, C., & Hall, A. E. (1970). Effects of free association training, retraining, and information on creativity. Journal of Experimental Psychology, 84, 226–229.CrossRefGoogle ScholarPubMed
Morais, A. S., Olsson, H., & Schooler, L. J. (2013). Mapping the structure of semantic memory. Cognitive Science, 37, 125–145.CrossRefGoogle ScholarPubMed
Nelson, D. L., McEvoy, C. L., & Dennis, S. (2000). What is free association and what does it measure? Memory & Cognition, 28, 887–899CrossRefGoogle ScholarPubMed
Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (2004). The University of South Florida free association, rhyme, and word fragment norms. Behavior Research Methods, Instruments, & Computers, 36, 402–407.CrossRefGoogle ScholarPubMed
Nelson, E. E., Vinton, D. T., Berghorst, L., Towbin, K. E., Hommer, R. E., Dickstein, D. P., … Leibenluft, E. (2007). Brain systems underlying response flexibility in healthy and bipolar adolescents: An event-related fMRI study. Bipolar Disorders, 9, 810–819.CrossRefGoogle ScholarPubMed
Nijstad, B. A., & Stroebe, W. (2006). How the group affects the mind: A cognitive model of idea generation in groups. Personality and Social Psychology Review, 10, 186–213.CrossRefGoogle Scholar
Nusbaum, E. C., & Silvia, P. J. (2011). Are intelligence and creativity really so different? Fluid intelligence, executive processes, and strategy use in divergent thinking. Intelligence, 39, 36–45.CrossRefGoogle Scholar
Osborn, A. F. (1963). Applied imagination: Principles and procedures of creative problem-solving. New York, NY: Scribner.Google Scholar
Palermo, D. S., & Jenkins, J. J. (1964). Word association norms: Grade school through college. Minneapolis, MN: University of Minnesota Press.Google Scholar
Piers, E. V., & Kirchner, E. P. (1971). Productivity and uniqueness in continued word association as a function of subject creativity and stimulus properties. Journal of Personality, 39, 264–276.CrossRefGoogle ScholarPubMed
Plucker, J. A., & Renzulli, J. S. (1999). Psychometric approaches to the study of human creativity. In Sternberg, R. J. (Ed.), Handbook of creativity (pp. 35–61). Cambridge: Cambridge University Press.Google Scholar
Pobric, G., Mashal, N., Faust, M., & Lavidor, M. (2008). The role of the right cerebral hemisphere in processing novel metaphoric expressions: A TMS study. Journal of Cognitive Neuroscience, 20, 170–181.CrossRefGoogle Scholar
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences, 98, 676–682.CrossRefGoogle ScholarPubMed
Riegel, K. F., Riegel, R. M., & Levine, R. S. (1966). An analysis of associative behavior and creativity. Journal of Personality and Social Psychology, 4, 50–56.CrossRefGoogle ScholarPubMed
Ritter, S. M., & Dijksterhuis, A. (2014). Creativity – The unconscious foundations of the incubation period. Frontiers in Human Neuroscience, 8, 1–10.CrossRefGoogle ScholarPubMed
Ritter, S. M., Damian, R. I., Simonton, D. K., van Baaren, R. B., Strick, M., Derks, J., & Dijksterhuis, A. (2012). Diversifying experiences enhance cognitive flexibility. Journal of Experimental Social Psychology, 48, 961–964.CrossRefGoogle Scholar
Rossmann, E., & Fink, A. (2010). Do creative people use shorter associative pathways? Personality and Individual Differences, 49, 891–895.CrossRefGoogle Scholar
Rothenberg, A. (1973). Word association and creativity. Psychological Reports, 33, 3–12.CrossRefGoogle ScholarPubMed
Runco, M. A. (1986). Flexibility and originality in children’s divergent thinking. The Journal of Psychology, 120, 345–352.CrossRefGoogle Scholar
Runco, M. A., & Acar, S. (2012). Divergent thinking as an indicator of creative potential. Creativity Research Journal, 24, 66–75.CrossRefGoogle Scholar
Runco, M. A., & Charles, R. E. (1993). Judgments of originality and appropriateness as predictors of creativity. Personality and Individual Differences, 15, 537–546.CrossRefGoogle Scholar
Runco, M. A., & Okuda, S. M. (1991). The instructional enhancement of the flexibility and originality scores of divergent thinking tests. Applied Cognitive Psychology, 5, 435–441.CrossRefGoogle Scholar
Russ, S. W. (1993). Affect and creativity: The role of affect and play in the creative process. Hillsdale, NJ: Lawrence Erlbaum and Associates.Google Scholar
Russ, S. W. (2001). Primary-process thinking and creativity: Affect and cognition. Creativity Research Journal, 13, 27–35.CrossRefGoogle Scholar
Schilling, M. A. (2005). A “small-world” network model of cognitive insight. Creativity Research Journal, 17, 131–154.CrossRefGoogle Scholar
Seger, C. A., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (2000). FMRI evidence for right hemisphere involvement in processing unusual semantic relationships. Neuropsychology, 14, 361–369.CrossRefGoogle ScholarPubMed
Shamay-Tsoory, S. G., Adler, N., Aharon-Peretz, J., Perry, D., & Mayseless, N. (2011). The origins of originality: The neural bases of creative thinking and originality. Neuropsychologia, 49, 178–185.CrossRefGoogle ScholarPubMed
Shapira-Lichter, I., Oren, N., Jacob, Y., Gruberger, M., & Hendler, T. (2013). Portraying the unique contribution of the default mode network to internally driven mnemonic processes. Proceedings of the National Academy of Sciences, 110, 4950–4955.CrossRefGoogle ScholarPubMed
Silvia, P. J., Beaty, R. E., & Nusbaum, E. C. (2013). Verbal fluency and creativity: General and specific contributions of broad retrieval ability (Gr) factors to divergent thinking. Intelligence, 41, 328–340.CrossRefGoogle Scholar
Simonton, D. K. (2010). Creative thought as blind-variation and selective-retention: Combinatorial models of exceptional creativity. Physics of Life Reviews, 7, 156–179.CrossRefGoogle ScholarPubMed
Skelton, R. (Ed.). (2006). Edinburgh international encyclopaedia of psychoanalysis. Edinburgh: Edinburgh University Press.CrossRefGoogle Scholar
Smallwood, J., & Schooler, J. W. (2006).The restless mind. Psychological Bulletin, 132, 946–958.CrossRefGoogle ScholarPubMed
Smith, S. M. (2003). The constraining effects of initial ideas. In Paulus, P., & Nijstad, B.(Eds.), Group creativity: Innovation through collaboration (pp. 31–46). New York, NY: Oxford University Press.Google Scholar
Solms, M., & Turnbull, O. H. (2011). What is neuropsychoanalysis? Neuropsychoanalysis: An Interdisciplinary Journal for Psychoanalysis and the Neurosciences, 13, 133–146.CrossRefGoogle Scholar
Spence, S. A., Kaylor-Hughes, C. J., Cooley, L., Green, R. D., Wilkinson, I. D., Parks, R. W., & Hunter, M. D. (2009). Toward a cognitive neurobiological account of free association. Neuropsychoanalysis, 11, 151–163.CrossRefGoogle Scholar
Svoboda, E., McKinnon, M. C., & Levine, B. (2006). The functional neuroanatomy of autobiographical memory: A meta-analysis. Neuropsychologia, 44, 2189–2208.CrossRefGoogle ScholarPubMed
Takeuchi, H., Taki, Y., Hashizume, H., Sassa, Y., Nagase, T., Nouchi, R., & Kawashima, R. (2012). The association between resting functional connectivity and creativity. Cerebral Cortex, 22, 2921–2929.CrossRefGoogle ScholarPubMed
Thurston, B. J., & Runco, M. A. (1999). Flexibility. In Runco, M. A. & Pritzker, S. R. (Eds.), Encyclopedia of creativity (Vol. 1, pp. 729–732). San Diego, CA: Academic Press.Google Scholar
Torrance, E. P. (1974). The Torrance tests of creative thinking – TTCT Manual and Scoring Guide: Verbal test A, figural test. Lexington, KY: Ginn.Google Scholar
Torrance, E. P., & Safter, H. T. (1999). Making the creative leap beyond. Scituate, MA: Creative Education Foundation Press.Google Scholar
Vartanian, O., Jobidon, M. E., Bouak, F., Nakashima, A., Smith, I., Lam, Q., & Cheung, B. (2013). Working memory training is associated with lower prefrontal cortex activation in a divergent thinking task. Neuroscience, 236, 186–194.CrossRefGoogle Scholar
Vartanian, O., Martindale, C., & Matthews, J. (2009). Divergent thinking ability is related to faster relatedness judgments. Psychology of Aesthetics, Creativity, and the Arts, 3, 99–103.CrossRefGoogle Scholar
Wei, D., Yang, J., Li, W., Wang, K., Zhang, Q., & Qiu, J. (2014). Increased resting functional connectivity of the medial prefrontal cortex in creativity by means of cognitive stimulation. Cortex, 51, 92–102.CrossRefGoogle ScholarPubMed
Wende, K. C., Straube, B., Stratmann, M., Sommer, J., Kircher, T., & Nagels, A. (2012). Neural correlates of continuous causal word generation. NeuroImage, 62, 1399–1407.CrossRefGoogle ScholarPubMed
Winnicott, D. (1971). Playing and reality. London: Tavistock.Google Scholar
Wirth, M., Jann, K., Dierks, T., Federspiel, A., Wiest, R., & Horn, H. (2011). Semantic memory involvement in the default mode network: A functional neuroimaging study using independent component analysis. NeuroImage, 54, 3057–3066.CrossRefGoogle ScholarPubMed
Zabelina, D. L., & Robinson, M. D. (2010). Creativity as flexible cognitive control. Psychology of Aesthetics, Creativity, and the Arts, 4, 136–143.CrossRefGoogle Scholar
Zeev-Wolf, M., Goldstein, A., & Faust, M. (2010). Novel metaphor comprehension: Evidence from MEG recordings. Poster presented at the Annual Psychology Scientific Conference, Bar-Ilan University, Israel.Google Scholar
Zemla, J., Kenett, Y. N., Jun, K.-S., & Austerweil, J. L. (2016). U-INVITE: Estimating individual semantic networks from fluency data. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society.Google Scholar
Zhou, Z., Xu, H., Zhao, Q., Zhao, L., & Liao, M. (2011). The processing of novel semantic association in Chinese: Converging evidence from behavior and fMRI studies. 4th International Congress on Image and Signal Processing (CISP), 2011 (Vol. 3, pp. 1588–1592). Shanghai: IEEE.CrossRefGoogle Scholar

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