Evidence map›Paper›PMID 34587347›Full record

ArticleHuman brain mapping2021

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

Hikaru Takeuchi, Ryosuke Kimura, Hiroaki Tomita, Yasuyuki Taki, Yoshie Kikuchi, Chiaki Ono, Zhiqian Yu, Izumi Matsudaira, Rui Nouchi, Ryoichi Yokoyama and 15 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 9 institutions in 3 countries.

Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.ORCID 0000-0002-8022-9694
Ryosuke KimuraDepartment of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Hiroaki TomitaDepartment of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.ORCID 0000-0003-2628-880X
Yasuyuki TakiDivision of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Yoshie KikuchiDepartment of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Chiaki OnoDepartment of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Zhiqian YuDepartment of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Izumi MatsudairaSmart-Aging Research Center, Tohoku University, Sendai, Japan.ORCID 0000-0001-6842-9522
Rui NouchiDepartment of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Ryoichi YokoyamaSchool of Medicine, Kobe University, Kobe, Japan.
Yuka KotozakiDivision of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan.
Seishu NakagawaDepartment of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Sugiko HanawaDepartment of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Kunio IizukaDepartment of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Atsushi SekiguchiDivision of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Tsuyoshi ArakiADVANTAGE Risk Management Co., Ltd., Tokyo, Japan.
Carlos Makoto MiyauchiDepartment of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Shigeyuki IkedaDepartment of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.ORCID 0000-0001-8175-6966
Kohei SakakiDepartment of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Kelssy H Dos S KawataCenter for Evolutionary Cognitive Sciences, The University of Tokyo, Tokyo, Japan.
Takayuki NozawaResearch Center Institute for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan.
Susumu YokotaFaculty of Arts and Science, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-4698-3615
Daniele MagistroDepartment of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK.
Tadashi ImanishiBiomedical Informatics Laboratory, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Ryuta KawashimaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Tohoku University · JPFukushima Medical University · JPKobe University · JPKyushu University · JPNottingham Trent University · GBResearch Institutue of Evolutionary Biology · JPTokai University · JPTokyo Institute of Technology · JPUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CreativityAdolescentAdultBipolar DisorderFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleMultifactorial InheritancePrefrontal CortexRiskYoung Adultbipolar disordercreativitypolygenic risk scoreprefrontal cortexvoxel-based morphometry

Identifiers

PMID34587347
PMCPMC8596941
OpenAlexW3204582639

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.