Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Feb 15;17(2):172-186.
doi: 10.1093/scan/nsab080.

Functional connectome fingerprint of holistic-analytic cultural style

Affiliations

Functional connectome fingerprint of holistic-analytic cultural style

Siyang Luo et al. Soc Cogn Affect Neurosci. .

Abstract

Although research in the field of cultural psychology and cultural neuroscience has revealed that culture is an important factor related to the human behaviors and neural activities in various tasks, it remains unclear how different brain regions organize together to construct a topological network for the representation of individual's cultural tendency. In this study, we examined the hypothesis that resting-state brain network properties can reflect individual's cultural background or tendency. By combining the methods of resting-state magnetic resonance imaging and graph theoretical analysis, significant cultural differences between participants from Eastern and Western cultures were found in the degree and global efficiency of regions mainly within the default mode network and subcortical network. Furthermore, the holistic-analytic thinking style, as a cultural value, provided a partial explanation for the cultural differences on various nodal metrics. Validation analyses further confirmed that these network properties effectively predicted the tendency of holistic-analytic cultural style within a group (r = 0.23) and accurately classified cultural groups (65%). The current study establishes a neural connectome representation of holistic-analytic cultural style including the topological brain network properties of regions in the default mode network, the basal ganglia and amygdala, which enable accurate cultural group membership classification.

Keywords: connectome; culture; holistic–analytic thinking.

PubMed Disclaimer

Figures

Fig. 1.
Fig. 1.
Results of the MANCOVA analyses of the AUC for the degree and global efficiency.
Fig. 2.
Fig. 2.
Results of ANCOVA analyses of the AUC for the degree and global efficiency. West > East represents a significantly higher value among Westerners; East > West represents a significantly higher value among East Asians (i.e. Chinese individuals).
Fig. 3.
Fig. 3.
Partial correlations between the AUC of degree and global efficiency and the AHS.
Fig. 4.
Fig. 4.
Partial correlations between functional connectivity and the AHS. Abbreviations: L. SFGdor, left dorsal superior frontal gyrus; R. AMYG, right amygdala; L. PCUN, left precuneus; R. PCUN, right precuneus. Please see Supplementary Table S11 for the abbreviations and the functional classification of all nodes.
Fig. 5.
Fig. 5.
Results of the intrasample and cross-sample K-fold cross-validation analyses. A) The correlation between the observed and predicted scores in intrasample cross-validation based on 10 metrics; B) the classification accuracies in cross-sample cross-validation based on 10 metrics; C) the correlation between the observed and predicted scores in intrasample cross-validation involving all nodal metrics; D) the classification accuracies in cross-sample cross-validation involving all nodal metrics. Blue ribbons in b and d represent the 95% CI generated by permutation tests.
Fig. 6.
Fig. 6.
Meta-decoding results of important nodes in the prediction model of holistic–analytic cultural style.

References

    1. Achard S., Bullmore E. (2007). Efficiency and cost of economical brain functional networks. PLoS Computational Biology, 3(2), e17. doi: 10.1371/journal.pcbi.0030017 - DOI - PMC - PubMed
    1. Anderson J.S., Druzgal T.J., Lopez‐Larson M., Jeong E.K., Desai K., Yurgelun‐Todd D. (2011). Network anticorrelations, global regression, and phase‐shifted soft tissue correction. Human Brain Mapping, 32(6), 919–34. doi: 10.1002/hbm.21079 - DOI - PMC - PubMed
    1. Andrews-Hanna J.R., Reidler J.S., Sepulcre J., Poulin R., Buckner R.L. (2010). Functional-anatomic fractionation of the brain’s default network. Neuron, 65(4), 550–62. doi: 10.1016/j.neuron.2010.02.005 - DOI - PMC - PubMed
    1. Banks S.J., Eddy K.T., Angstadt M., Nathan P.J., Phan K.L. (2007). Amygdala–frontal connectivity during emotion regulation. Social Cognitive and Affective Neuroscience, 2(4), 303–12. doi: 10.1093/scan/nsm029 - DOI - PMC - PubMed
    1. Baur V., Hänggi J., Langer N., Jäncke L. (2013). Resting-state functional and structural connectivity within an insula–amygdala route specifically index state and trait anxiety. Biological Psychiatry, 73(1), 85–92. doi: 10.1016/j.biopsych.2012.06.003 - DOI - PubMed

Publication types