Modulations in resting state networks of subcortical structures linked to creativity.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 07 2019
Historique:
received: 16 10 2018
revised: 21 02 2019
accepted: 07 03 2019
pubmed: 3 4 2019
medline: 21 12 2019
entrez: 3 4 2019
Statut: ppublish

Résumé

Creativity is a sine qua non ability for almost all aspects of everyday life. Although very profound behavioural models were provided by 21st century psychologists, the neural correlates of these personality features associated with creativity are largely unknown. Recent models suggest strong relationships between dopamine release and various creative skills. Herein, we employed functional connectivity analyses of resting-state functional magnetic imaging data in order to shed light on these neural underpinnings of creative aspects. For improved sensitivity, we performed the study at ultra-high magnetic field (7 T). Seed regions were defined based on subcortical (ventral tegmental area/substantia nigra, nucleus caudatus) activation foci of a remote associates task (RAT). In addition, bilateral PCC was used as seed region to examine the default-mode network. Network strength across subjects was regressed against a battery of psychological variables related to creativity. Dopaminergic network variations turned out to be indicative for individual differences in creative traits. In this regard, the caudate network showed stronger connectivity in individuals with higher extraversion measures, while connectivity with the midbrain network was found increased with higher ideational behaviour and emotional stability.

Identifiants

pubmed: 30935909
pii: S1053-8119(19)30190-9
doi: 10.1016/j.neuroimage.2019.03.017
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

311-319

Informations de copyright

Crown Copyright © 2019. Published by Elsevier Inc. All rights reserved.

Auteurs

Anna-Lisa Schuler (AL)

MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.

Martin Tik (M)

MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.

Ronald Sladky (R)

MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.

Caroline Di Bernardi Luft (CDB)

School of Biological and Chemical Sciences, Queen Mary University of London, United Kingdom; Department of Psychology, Goldsmiths University of London, United Kingdom.

André Hoffmann (A)

MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.

Michael Woletz (M)

MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.

Ioanna Zioga (I)

School of Biological and Chemical Sciences, Queen Mary University of London, United Kingdom; Department of Psychology, Goldsmiths University of London, United Kingdom.

Joydeep Bhattacharya (J)

Department of Psychology, Goldsmiths University of London, United Kingdom.

Christian Windischberger (C)

MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria. Electronic address: christian.windischberger@meduniwien.ac.at.

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