Polygenic risk score for bipolar disorder associates with divergent thinking and brain structures in the prefrontal cortex.


Journal

Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065

Informations de publication

Date de publication:
15 12 2021
Historique:
revised: 26 08 2021
received: 08 04 2021
accepted: 13 09 2021
pubmed: 30 9 2021
medline: 29 3 2022
entrez: 29 9 2021
Statut: ppublish

Résumé

It has been hypothesized that a higher genetic risk of bipolar disorder (BD) is associated with greater creativity. Given the clinical importance of bipolar disorder and the importance of creativity to human society and cultural development, it is essential to reveal their associations and the neural basis of the genetic risk of bipolar disorder to gain insight into its etiology. However, despite the previous demonstration of the associations of polygenic risk score (PRS) of BD and creative jobs, the associations of BD-PRS and creativity measured by the divergent thinking (CMDT) and regional gray matter volume (rGMV) as well as regional white matter volume (rWMV) have not been investigated. Using psychological analyses and whole-brain voxel-by-voxel analyses, we examined these potential associations in 1558 young, typically developing adult students. After adjusting for confounding variables and multiple comparisons, a greater BD-PRS was associated with a greater total CMDT fluency score, and a significant relationship was found in fluency subscores. A greater BD-PRS was also associated with lower total mood disturbance. Neuroimaging analyses revealed that the BD-PRS was associated with greater rGMV in the right inferior frontal gyrus, which is a consistently affected area in BD, as well as a greater rWMV in the left middle frontal gyrus, which has been suggested to play a central role in the increased creativity associated with the risk of BD with creativity. These findings suggest a relationship between the genetic risk of BD and CMDT and prefrontal cortical structures among young educated individuals.

Identifiants

pubmed: 34587347
doi: 10.1002/hbm.25667
pmc: PMC8596941
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

6028-6037

Informations de copyright

© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

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Auteurs

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryosuke Kimura (R)

Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.

Hiroaki Tomita (H)

Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.

Yasuyuki Taki (Y)

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.

Yoshie Kikuchi (Y)

Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.

Chiaki Ono (C)

Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.

Zhiqian Yu (Z)

Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.

Izumi Matsudaira (I)

Smart-Aging Research Center, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

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

Ryoichi Yokoyama (R)

School of Medicine, Kobe University, Kobe, Japan.

Yuka Kotozaki (Y)

Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan.

Seishu Nakagawa (S)

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

Sugiko Hanawa (S)

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

Kunio Iizuka (K)

Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.

Atsushi Sekiguchi (A)

Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd., Tokyo, Japan.

Carlos Makoto Miyauchi (CM)

Department of Advanced Brain Science, 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.

Kohei Sakaki (K)

Department of Advanced Brain Science, 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.

Takayuki Nozawa (T)

Research Center Institute 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.

Daniele Magistro (D)

Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK.

Tadashi Imanishi (T)

Biomedical Informatics Laboratory, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Kanagawa, Japan.

Ryuta Kawashima (R)

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

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