Investigating the Relationship Between Brain Cognitive Networks and Creativity in the Architectural Design Process Through Cognitive Neuroscience Approaches
Pages 7-18
https://doi.org/10.22034/ats.2026.2089835.1029
Jamal Esmaeilzadeh vafaei, Masuomeh Bayati, Saeid Khaghani
Abstract Aims: Architectural design is a highly complex cognitive process that emerges from the interaction of environmental stimuli, individual experiences, and the functional dynamics of the human nervous system. The generation of innovative architectural solutions requires continuous interaction between divergent thinking, convergent thinking, and spatial visualization abilities. While numerous theoretical models have attempted to explain the nature of design thinking, the underlying neural mechanisms responsible for creativity and decision-making in architectural design remain insufficiently understood. Recent advances in cognitive neuroscience have provided new opportunities to explore the neural foundations of creativity through neuroimaging techniques and brain-network analyses. This study aims to investigate the relationship between brain cognitive networks and creativity in the architectural design process and to identify the neural systems involved in idea generation, evaluation, and spatial simulation. By integrating findings from neuroscience and architectural design research, the study seeks to develop a comprehensive conceptual framework that explains how creativity emerges through interactions among large-scale brain networks.
Materials & Methods: This study employed a systematic review methodology combined with conceptual modeling. Relevant literature published between 2020 and 2025 in the fields of cognitive neuroscience, neuroarchitecture, creativity research, and design cognition was reviewed and analyzed. Particular attention was given to studies utilizing electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to investigate neural activity during creative thinking and design-related tasks. The selected studies were examined to identify recurring neural patterns associated with architectural creativity and design cognition. Findings from the reviewed literature were synthesized into an integrated conceptual model describing the interaction among major cognitive networks during different stages of the architectural design process. The analysis focused on the Default Mode Network (DMN), Executive Control Network (ECN), hippocampal spatial simulation systems, and other brain regions associated with memory retrieval, conceptual integration, and creative problem-solving.
Findings: The review revealed that architectural design creativity is not localized within a single brain region but rather emerges from the dynamic interaction of multiple large-scale neural networks. Three principal systems were consistently identified across the literature. The first is the Default Mode Network (DMN), which supports idea generation, imagination, memory retrieval, and divergent thinking. The second is the Executive Control Network (ECN), which is responsible for evaluating, refining, and selecting design alternatives through convergent thinking processes. The third is the spatial simulation system centered around the hippocampus, which enables designers to mentally construct, manipulate, and evaluate spatial configurations. Furthermore, the findings highlight the critical role of the Middle Temporal Gyrus (MTG) and hippocampal structures in generating innovative and contextually appropriate architectural concepts. Based on these findings, a five-stage architectural design model was developed, illustrating how creative outputs emerge through cyclical interactions among generation, evaluation, and simulation processes. The model suggests that successful architectural creativity depends on maintaining a balance between spontaneous idea production and analytical assessment while continuously engaging spatial cognitive mechanisms.
Conclusion: This study provides a neuroscience-based perspective on architectural creativity by demonstrating that design processes emerge from coordinated interactions among multiple cognitive networks rather than isolated mental functions. The proposed conceptual framework indicates that architectural design is fundamentally a cyclical system involving idea generation, evaluation, and spatial simulation, all supported by interconnected neural structures. The findings contribute to bridging the gap between traditional design theories and contemporary cognitive neuroscience by offering a biologically grounded explanation of creative architectural thinking. Moreover, the study highlights the importance of the Default Mode Network, Executive Control Network, hippocampus, and Middle Temporal Gyrus in facilitating creative performance during design activities. These insights may support the development of neuroscience-informed design methodologies, evidence-based architectural education, and future research exploring the neural foundations of creativity. Ultimately, the integration of cognitive neuroscience and architecture provides new opportunities for understanding, enhancing, and teaching design creativity through scientifically informed approaches.




