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Mapping Cultural Values onto the Brain: the Fragmented Landscape
1, Ulyanovsk, Russia. khanovey@protonmail.com.
Integrative Psychological & Behavioral Science
|June 5, 2020
Summary
Cultural neuroscience research reveals that most studies on brain differences link to individualism-collectivism. Other cultural value dimensions are underrepresented, highlighting a need for broader research perspectives.
Area of Science:
- Neuroscience
- Cultural Psychology
- Social Sciences
Background:
- Basic values are fundamental to cultural differences in social, economic, and political outcomes.
- The composition and nature of cultural value systems are subjects of ongoing debate.
- Cultural neuroscience offers insights into societal value system variations and their underlying neural mechanisms.
Purpose of the Study:
- To systematically review experimental studies on cultural values and brain research methods.
- To identify neural systems and processes associated with specific cultural values.
- To analyze the representation of different cultural value dimensions in existing literature.
Main Methods:
- Systematic review of 47 experimental studies.
- Analysis of studies using diverse brain research methods.
- Extraction and systematization of findings according to established cultural models (Hofstede, Trompenaars, Gelfand).
Main Results:
- The majority of evidence (37 studies) links cultural differences in brain function to the individualism-collectivism dimension.
- Affectivity-Neutrality (11 studies), Tightness-Looseness (6 studies), and Power Distance (3 studies) were also identified.
- Other dimensions like Indulgence, Long-Term Orientation, Universalism, and Uncertainty Avoidance were represented by fewer studies, with some dimensions entirely absent.
Conclusions:
- Current cultural neuroscience literature provides a fragmented and biased view of neural processing of values.
- The dominance of the independence-interdependence paradigm limits broader interpretations and research scope.
- Insufficient focus on direct value comparisons and biased sampling hinder comprehensive understanding.
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