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Neuroarchitecture Assessment: An Overview and Bibliometric Analysis
Hessam Ghamari1, Nasrin Golshany2, Parastou Naghibi Rad3
1Interior Design Program, Department of Family and Consumer Sciences, College of Health and Human Development, California State University Northridge, Northridge, CA 91330, USA.
European Journal of Investigation in Health, Psychology and Education
|November 29, 2021
Summary
This bibliometric analysis maps three decades of neuroarchitecture research, revealing a growing and diversifying field. Key themes evolved, with significant growth and a paradigm shift towards neuroimaging techniques like EEG, fMRI, and virtual reality.
Area of Science:
- Neuroscience
- Architecture
- Bibliometrics
- Science Mapping
Background:
- Research at the intersection of architecture and neuroscience has expanded significantly since the 1990s.
- A gap exists in comprehensive reviews analyzing the evolution and landscape of neuroarchitecture literature.
- The multidisciplinary nature of neuroarchitecture presents challenges in managing and understanding its research scope.
Purpose of the Study:
- To conduct a bibliometric analysis of neuroarchitecture research over three decades.
- To provide a comprehensive overview of the field's research landscape, key themes, and influential contributors.
- To map the intellectual base and evolution of neuroarchitecture research.
Main Methods:
- Bibliometric analysis of 295 publications on neuroarchitecture.
- Utilized VOSviewer for science mapping, including term co-citation, co-occurrence, and bibliographic coupling analyses.
- Employed SciMAT for analyzing the evolution of the intellectual base and identifying key contributing themes.
Main Results:
- The field has evolved from a narrow focus to a more diversified scope, reflecting the multifaceted nature of neuroarchitecture.
- A substantial growth in the intellectual base of neuroarchitecture research was observed, particularly from 2016 onwards.
- Significant advancements in theoretical and methodological approaches have occurred, with a notable shift towards keywords such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and virtual reality.
Conclusions:
- Neuroarchitecture is a rapidly evolving, diversifying field with a growing research base.
- The study highlights a paradigm shift towards advanced neuroimaging and immersive technologies in understanding the architecture-brain relationship.
- This bibliometric analysis provides a foundational understanding for future research directions in neuroarchitecture.

