Evidence map›Paper›PMID 27418362›Full record

ArticleScientific reports2016

Differences in gray matter structure correlated to nationalism and patriotism.

Hikaru Takeuchi, Yasuyuki Taki, Atsushi Sekiguchi, Rui Nouchi, Yuka Kotozaki, Seishu Nakagawa, Carlos Makoto Miyauchi, Kunio Iizuka, Ryoichi Yokoyama, Takamitsu Shinada and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

17 authors.

Hikaru TakeuchiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Yasuyuki TakiDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging 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.
Rui NouchiHuman and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Yuka KotozakiSmart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Seishu NakagawaDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Carlos Makoto MiyauchiDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Kunio IizukaDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Ryoichi YokoyamaDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Takamitsu ShinadaDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Yuki YamamotoDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Sugiko HanawaDepartment of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Tsuyoshi ArakiSmart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Hiroshi HashizumeDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Keiko KunitokiFaculty of Medicine, Tohoku University, Sendai, Japan.
Yuko SassaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Ryuta KawashimaDivision of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nationalism and patriotism both entail positive evaluations of one's nation. However, the former inherently involves derogation of other nations, whereas the latter is independent of comparisons with other nations. We used voxel-based morphometry and psychological measures and determined nationalism and patriotism's association with gray matter density (rGMD) and their cognitive nature in healthy individuals (433 men and 344 women; age, 20.7 ± 1.9 years) using whole-brain multiple regression analyses and post hoc analyses. We found higher nationalism associated with greater rGMD in (a) areas of the posterior cingulate cortex and greater rGMD in (b) the orbitofrontal cortex, and smaller rGMD in (c) the right amygdala area. Furthermore, we found higher patriotism associated with smaller rGMD in the (d) rostrolateral prefrontal cortex. Post hoc analyses revealed the mean rGMD of the cluster (a) associated with compassion, that of (b) associated with feeling of superiority, that of (c) associated with suicide ideation, and that of (d) associated with quality of life. These results indicate that individual nationalism may be mediated by neurocognitive mechanisms in social-related areas and limbic neural mechanisms, whereas patriotism may be mediated by neurocognitive mechanisms in areas related to well-being.

Indexed as

EmotionsDemographyFemaleGray MatterHumansMaleRegression AnalysisYoung Adult

Identifiers

PMID27418362
PMCPMC4945903

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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.