The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Creative Innovation: Possible Brain Mechanisms
Abstract
This article reviews and develops some theories about the neurobiological basis of creative innovation (CI). CI is defined as the ability to understand and express novel orderly relationships. A high level of general intelligence, domain-specific knowledge and special skills are necessary components of creativity. Specialized knowledge is stored in specific portions of the temporal and parietal lobes. Some anatomic studies suggest that talented people might have alterations of specific regions of the posterior neocortical architecture, but further systematic studies are needed. Intelligence, knowledge and special skills, however, are not sufficient for CI. Developing alternative solutions or divergent thinking has been posited to be a critical element of CI, and clinical as well as functional imaging studies suggest that the frontal lobes are important for these activities. The frontal lobes have strong connections with the polymodal and supramodal regions of the temporal and parietal lobes where concepts and knowledge are stored. These connections might selectively inhibit and activate portions of posterior neocortex and thus be important for developing alternative solutions. Although extensive knowledge and divergent thinking together are critical for creativity they alone are insufficient for allowing a person to find the thread that unites. Finding this thread might require the binding of different forms of knowledge, stored in separate cortical modules that have not been previously associated. Thus, CI might require the co-activation and communication between regions of the brain that ordinarily are not strongly connected. The observations that CI often occurs during levels of low arousal and that many people with depression are creative suggests that alterations of neurotransmitters such as norepinephrine might be important in CI. High levels of norepinephrine, produced by high rates of locus coeruleus firing, restrict the breadth of concept representations and increase the signal to noise ratio, but low levels of norepinephrine shift the brain toward intrinsic neuronal activation with an increase in the size of distributed concept representations and co-activation across modular networks. In addition to being important in divergent thinking, the frontal lobes are also the primary cortical region that controls the locus coeruleus-norepinephrine system. Thus creative people may be endowed with brains that are capable of storing extensive specialized knowledge in their temporoparietal cortex, be capable of frontal mediated divergent thinking and have a special ability to modulate the frontal lobe-locus coeruleus (norepinephrine) system, such that during creative innovation cerebral levels of norepinephrine diminish, leading to the discovery of novel orderly relationships.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
James, W. (1913) · Henry Holt and Company eBooks · doi:10.1037/11059-000 · Cited by 25,226
"General Intelligence," Objectively Determined and Measured
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207
A psychobiological model of temperament and character
Cloninger, C. R. (1993) · Archives of General Psychiatry · doi:10.1001/archpsyc.1993.01820240059008 · Cited by 5,458
The associative basis of the creative process.
Mednick, S. (1962) · Psychological Review · doi:10.1037/h0048850 · Cited by 4,140
The effect of emotion on cue utilization and the organization of behavior
Easterbrook, J. A. (1959) · Psychological Review · doi:10.1037/h0047707 · Cited by 3,090
A simple objective technique for measuring flexibility in thinking
Berg, E. A. (1948) · The Journal of General Psychology · doi:10.1080/00221309.1948.9918159 · Cited by 2,255
Human Brain: Left-Right Asymmetries in Temporal Speech Region
Geschwind, N., & Levitsky, W. (1968) · Science · doi:10.1126/science.161.3837.186 · Cited by 2,225
(1998) · Handbook of Creativity · doi:10.1017/cbo9780511807916.002 · Cited by 2,212
Wallas, G. (1926) · Medical Entomology and Zoology · Cited by 1,973
Cited by
Evaluative and generative modes of thought during the creative process
Ellamil, M., Dobson, C., Beeman, M., & Christoff, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.008 · Cited by 611
Fink, A., Grabner, R. H., Benedek, M., Reishofer, G., Hauswirth, V., Fally, M., Neuper, C., Ebner, F., & Neubauer, A. C. (2009) · Human Brain Mapping · doi:10.1002/hbm.20538 · Cited by 505
Polygenic risk scores for schizophrenia and bipolar disorder predict creativity
Power, R. A., Steinberg, S., Bjornsdottir, G., Rietveld, C. A., Abdellaoui, A., Nivard, M. M., Johannesson, M., Galesloot, T. E., Hottenga, J. J., Willemsen, G., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4040 · Cited by 485
The structure of creative cognition in the human brain
Jung, R. E. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00330 · Cited by 391
Beta-adrenergic Modulation of Cognitive Flexibility during Stress
Alexander, J. K., Hillier, A., Smith, R. M., Tivarus, M. E., & Beversdorf, D. Q. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.3.468 · Cited by 306
Self-citation
Metadata
- Authors
- Heilman, K. M., Nadeau, S. E., & Beversdorf, D. O.
- Venue
- Neurocase
- Publisher
- Informa UK Limited
- Published
- 2003-10
- Volume
- 9
- Issue
- 5
- Pages
- 369-379
- ISSN
- 1355-4794 (ISSN-L)
- 1465-3656
- OpenAlex
- W2115223032
- Cited by
- 353
- References
- 86
- FWCI
- 3.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Creative Innovation: Possible Brain Mechanisms. https://app.cochat.ai/papers/10.1076/neur.9.5.369.16553
- The paper
- Heilman, K. M., Nadeau, S. E., & Beversdorf, D. O. (2003). Creative Innovation: Possible Brain Mechanisms. Neurocase. https://doi.org/10.1076/neur.9.5.369.16553
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.