8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Intact microstructure of the right corticostriatal pathway predicts creative ability in healthy adults

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Creativity is one of the most complex functions of the human brain. The corticostriatal pathways have been implicated in creative thinking, yet few studies have addressed the microstructural underpinnings of creative ability, especially those related to the corticostriatal dopaminergic circuitry. We hypothesized that performance in creativity tests can be predicted based on diffusion metrics of the corticostriatal pathways and basal ganglia.

          Methods

          A total of 37 healthy adults were included. Neuropsychological tests of creativity, including the alternative uses task (AUT), test of creative imagery abilities (TCIA), remote associates test (RAT), and creative achievement questionnaire (CAQ), as well as diffusion MRI data were acquired for each participant.

          Results

          We demonstrated an independent effect of TCIA originality and TCIA transformativeness subscores, and RAT score in predicting the mean diffusivity (MD), mean axial diffusivity (AD), mean fractional anisotropy (FA), and mean generalized FA of the right corticostriatal pathway. We also observed independent effects of AUT elaboration subscore in predicting the AD of the right substantia nigra, and radial diffusivity (RD) of the right globus pallidus.

          Conclusion

          Our results put a further spin on the “creative right brain” notion and question the presence of high‐creative and low‐creative networks in the brain.

          Abstract

          In this original paper, we hypothesized that performance in creativity tests can be predicted based on microstructural integrity of the corticostriatal pathways and basal ganglia based on diffusion MRI.

          Related collections

          Most cited references53

          • Record: found
          • Abstract: not found
          • Article: not found

          An inventory for measuring depression.

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Standard Definition of Creativity

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Population-averaged atlas of the macroscale human structural connectome and its network topology

              A comprehensive map of the structural connectome in the human brain has been a coveted resource for understanding macroscopic brain networks. Here we report an expert-vetted, population-averaged atlas of the structural connectome derived from diffusion MRI data (N=842). This was achieved by creating a high-resolution template of diffusion patterns averaged across individual subjects and using tractography to generate 550,000 trajectories of representative white matter fascicles annotated by 80 anatomical labels. The trajectories were subsequently clustered and labeled by a team of experienced neuroanatomists in order to conform to prior neuroanatomical knowledge. A multi-level network topology was then described using whole-brain connectograms, with subdivisions of the association pathways showing small-worldness in intra-hemisphere connections, projection pathways showing hub structures at thalamus, putamen, and brainstem, and commissural pathways showing bridges connecting cerebral hemispheres to provide global efficiency. This atlas of the structural connectome provides representative organization of human brain white matter, complementary to traditional histologically-derived and voxel-based white matter atlases, allowing for better modeling and simulation of brain connectivity for future connectome studies.
                Bookmark

                Author and article information

                Contributors
                mohammadhadiarabi@gmail.com
                Journal
                Brain Behav
                Brain Behav
                10.1002/(ISSN)2157-9032
                BRB3
                Brain and Behavior
                John Wiley and Sons Inc. (Hoboken )
                2162-3279
                15 October 2020
                December 2020
                : 10
                : 12 ( doiID: 10.1002/brb3.v10.12 )
                : e01895
                Affiliations
                [ 1 ] Department of Radiology Washington University in St. Louis St. Louis MO USA
                [ 2 ] NeuroImaging Network (NIN) Universal Scientific Education and Research Network (USERN) Tehran Iran
                [ 3 ] Faculty of Medicine Tehran University of Medical Sciences Tehran Iran
                Author notes
                [*] [* ] Correspondence

                Mohammad Hadi Aarabi, Tehran University of Medical Sciences, Dr. Qarib St., Keshavarz Blvd, Tehran 14194, Iran.

                Email: mohammadhadiarabi@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-0530-2054
                https://orcid.org/0000-0002-5550-9782
                Article
                BRB31895
                10.1002/brb3.1895
                7749564
                33063472
                aff73dcb-91db-43ca-a145-ed7b1090b607
                © 2020 The Authors. Brain and Behavior published by Wiley Periodicals LLC

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 March 2020
                : 19 September 2020
                : 26 September 2020
                Page count
                Figures: 2, Tables: 2, Pages: 10, Words: 7398
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                December 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.5 mode:remove_FC converted:19.12.2020

                Neurosciences
                corticostriatal pathway,creativity,diffusion mri,diffusion‐weighted imaging
                Neurosciences
                corticostriatal pathway, creativity, diffusion mri, diffusion‐weighted imaging

                Comments

                Comment on this article