Convergent creative thinking performance is associated with white matter structures: Evidence from a large sample study.


Journal

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

Informations de publication

Date de publication:
15 04 2020
Historique:
received: 04 06 2019
revised: 29 12 2019
accepted: 19 01 2020
pubmed: 25 1 2020
medline: 20 2 2021
entrez: 25 1 2020
Statut: ppublish

Résumé

In laboratory settings, creativity is measured using tasks of divergent as well as convergent thinking. It has been suggested that brain connectivity is important for creativity. In the present study, we investigated the associations of convergent thinking performance of compound Remote Associates Test (CRAT) with fractional anisotropy (FA) in diffusion tensor imaging and regional white matter (WM) volume (rWMV) in voxel-based morphometry in a large sample of healthy young adults (360 males and 280 females; mean age: 20.9 years, SD ​= ​1.6). We showed that CRAT performance was positively correlated with WM pathway property (i.e., FA) in the left fronto-occipital fasciculus and the left inferior longitudinal fasciculus, which play important roles in processing of language and concept. Further, CRAT performance was negatively correlated with rWMV in the widespread frontal temporal subcortical and cerebellar WM areas, suggesting the unique association of convergent thinking with WM connectivity.

Identifiants

pubmed: 31978544
pii: S1053-8119(20)30064-1
doi: 10.1016/j.neuroimage.2020.116577
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

116577

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. Electronic address: takehi@idac.tohoku.ac.jp.

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Izumi Matsudaira (I)

Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Shigeyuki Ikeda (S)

Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Kelssy H Dos S Kawata (KH)

Center for Evolutionary Cognitive Sciences, The University of Tokyo, Tokyo, Japan; Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan; Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan; Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Kohei Sakaki (K)

Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Seishu Nakagawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Psychiatry, Tohoku Pharmaceutical University, Sendai, Japan.

Takayuki Nozawa (T)

Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan.

Susumu Yokota (S)

Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.

Tsuyoshi Araki (T)

Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Sugiko Hanawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryo Ishibashi (R)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Smart-Aging Research Center, Tohoku University, Japan.

Shohei Yamazaki (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

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