Evidence map›Paper›PMID 30718676›Full record

ArticleScientific reports2019

Mean diffusivity related to collectivism among university students in Japan.

Seishu Nakagawa, Hikaru Takeuchi, Yasuyuki Taki, Rui Nouchi, Yuka Kotozaki, Takamitsu Shinada, Tsukasa Maruyama, Atsushi Sekiguchi, Kunio Iizuka, Ryoichi Yokoyama and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

19 authors.

Seishu NakagawaDivision of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan. seishu.nakagawa.e8@tohoku.ac.jp.
Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Yasuyuki TakiDivision of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Rui NouchiCreative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), Tohoku University, Sendai, Japan.
Yuka KotozakiSmart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Takamitsu ShinadaDepartment of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Tsukasa MaruyamaDepartment of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Atsushi SekiguchiDivision of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Kunio IizukaDepartment of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ryoichi YokoyamaSchool of Medicine, Kobe University, Kobe, Japan.
Yuki YamamotoDepartment of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Sugiko HanawaDepartment of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Tsuyoshi ArakiADVANTAGE Risk Management Co., Ltd, Tokyo, Japan.
Carlos Makoto MiyauchiDepartment of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Daniele MagistroDepartment of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK.ORCID 0000-0002-2554-3701
Kohei SakakiAdvanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Hyeonjeong JeongDepartment of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
Yukako SasakiAdvanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Ryuta KawashimaSmart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collectivism is an important factor for coping with stress in one's social life. To date, no imaging studies have revealed a direct association between collectivism and white matter structure. Collectivism is positively related to independence, harm avoidance, rejection sensitivity, cooperativeness, external locus of control, and self-monitoring and negatively related to need for uniqueness. Accordingly, we hypothesised that the neural structures underpinning collectivism are those that are also involved with its relationship using magnetic resonance imaging (MRI). This study aimed to identify the brain structures associated with collectivism in healthy young adults (n = 797), using regional grey and white matter volume, fractional anisotropy, and mean diffusivity (MD) analyses of MRI data. Scores on the collectivism scale were positively associated with MD values in the bilateral dorsolateral prefrontal cortex, left orbitofrontal cortex, inferior frontal gyrus, right superior temporal gyrus, ventral posterior cingulate cortex, globus pallidus, and calcarine cortex using the threshold-free cluster enhancement method with family-wise errors corrected to P < 0.05 at the whole-brain level. No significant associations between were found collectivism and other measures. Thus, the present findings supported our hypothesis that the neural correlates of collectivism are situated in regions involved in its related factors.

Indexed as

Cooperative BehaviorDiffusion Magnetic Resonance ImagingAnisotropyBrainCerebral CortexFemaleGlobus PallidusGyrus CinguliHumansImage Processing, Computer-AssistedJapanMalePrefrontal CortexStudentsTemporal LobeUniversities

Identifiers

PMID30718676
PMCPMC6362187

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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 OpenQuestion graph.