NEURODESIGN · GUIDE · updated 2026-11-03

Neuroarchitecture

Neuroarchitecture is the study of how buildings and interiors affect the brain, the nervous system and behavior. It borrows tools from neuroscience and physiology (EEG, heart rate variability, eye tracking, occasionally fMRI) to test things architects have argued about for centuries: whether a room can calm you down, help you concentrate, or keep you awake at night.

This page summarizes what the research supports, using the 146 studies, reviews and standards in the NEURODESIGN research corpus. Every finding links to its record, where you can read the limitations and see how far the study sits from a real building.

Records
146
Rated high evidence
64
Tested in real or simulated buildings
84
Published since 2020
89

What neuroarchitecture is

The term came into use around 2000, but environmental psychologists were already measuring how people respond to offices, hospitals and streets from the 1960s onward, and evidence-based healthcare design was already showing that a view from a hospital bed could matter. What changed then was cheaper access to physiological and neural measurement, and an institution to rally around it: the Academy of Neuroscience for Architecture, founded in San Diego in 2003.

A 2021 scoping review traces the field back through those earlier approaches and argues it is best read as a continuation of them (Higuera-Trujillo et al. 2021). Neuroaesthetics supplies a second lineage. One influential model splits a person's response to a space into sensory-motor, emotion-valuation and meaning-knowledge systems (Chatterjee et al. 2021).

In practice the term covers anything from a controlled EEG study of ceiling height in virtual reality to a meta-analysis of office temperature and typing errors. That range is the main reason claims made under the neuroarchitecture label vary so much in quality.

How it is studied

A 2026 review of 140 studies found EEG dominates the field, and that emotional response is measured far more often than cognition or decision-making (Jaberi et al. 2026). A separate mapping of the empirical work found heavy use of questionnaires and behavior, with HRV, fMRI and fNIRS used much less (Yılmaz et al. 2026).

Virtual reality is now the default way to vary a room without building it. Every VR and EEG study in one 2024 review reported some effect of the environment, but the methods were too different from one another to produce design rules (Taherysayah et al. 2024). Reviews of experimental methods keep pointing at the same problems: small samples, short exposures, and lab settings that look little like a lived-in building (Karakas & Yildiz 2020, Naghibi Rad et al. 2023).

A 2022 scoping review put it plainly: promising, small, and concentrated on a few attributes of space (Lee et al. 2022).

What the evidence supports

Roughly in order of confidence. The first topics have systematic reviews or meta-analyses behind them. The last ones mostly rest on single experiments.

Indoor air and CO2

A 2023 meta-analysis found that short exposures to CO2 below 5,000 ppm were associated with lower cognitive scores, and that complex tasks were hit hardest (Fan et al. 2023). In the Harvard COGfx study, office workers scored higher on decision-making in rooms with more ventilation and fewer VOCs than in conventional office conditions (Allen et al. 2016). Ventilation is the clearest case in the field where a design decision has a measured effect on thinking.

Temperature

The temperature evidence is messier than people assume. A meta-analysis of 35 studies did not find a simple universal link between office temperature and performance (Porras-Salazar et al. 2021). A later one found that rooms above about 25 °C tended to worsen accuracy or response time, especially over long exposures and on skilled tasks, while mild cooling was less consistently harmful (Lin et al. 2025). The relationship is curved rather than straight (Zhang et al. 2019), which is an argument for giving people control over it.

Speech noise and acoustics

The problem in offices is intelligible speech more than loudness. Performance drops become more likely as background speech gets easier to understand, and verbal short-term memory suffers most (Haapakangas et al. 2020). In a lab version of an open-plan office, higher noise impaired word memory and left people more tired (Jahncke et al. 2011). In classrooms, noise and reverberation affect speech perception, attention and learning, and young children are the most vulnerable (Mealings 2022).

Open-plan offices

Two systematic reviews, sixteen years apart, reach similar conclusions: open-plan offices are more often linked with lower satisfaction and worse health and productivity measures, and noise and loss of privacy are the recurring reasons (de Croon et al. 2005, James et al. 2021). Survey data shows the promised gain in communication does not make up for it (Kim & de Dear 2013). Some of the contradictions in this literature come down to which outcomes a study chose to measure (Bennis et al. 2022).

Plants, wood and biophilic design

A meta-analysis of indoor plants favored their presence for several measured outcomes, though each pooled analysis drew on only a few studies (Han et al. 2022). In healthcare, biophilic interventions are linked with lower stress, anxiety and pain, with uneven evidence across outcomes (Al Khatib et al. 2024). Indoor wood tends toward more favorable physiological responses, but only 24 experiments met the criteria of one 2026 review, most of them short and visual-only (Lee & Eom 2026, Cavaliere et al. 2026).

The bedroom and sleep

Noise, temperature, light and air quality each have documented effects on sleep (Caddick et al. 2018). Moderate heat or cold reduces sleep quality (Lan et al. 2017), and a 2026 study found warmer nights cut sleep continuity, with responses differing between men and women (Bai et al. 2026). For hotels and housing this is among the most usable bodies of evidence in the field.

Hospital rooms

The 2008 review by Ulrich and colleagues found design-relevant evidence across infection control, noise, daylight, nature and room layout (Ulrich et al. 2008). Single-occupancy rooms show benefits for communication, infection control, sleep and patient preference, with real trade-offs for staffing (Taylor et al. 2018).

Form, ceilings and geometry

This is the part of neuroarchitecture that gets shared most and has the thinnest support. Curved interiors were rated more beautiful in an fMRI study, but curvature did not change whether people wanted to enter the room (Vartanian et al. 2013). Higher ceilings were linked to more abstract thinking in a 2007 set of priming experiments, and how far that result generalizes is still an open question (Meyers-Levy & Zhu 2007). A meta-analysis of prospect-refuge research found good support for prospect and weaker support for refuge (Dosen & Ostwald 2016). Room geometry does shape spatial memory: people asked to navigate deformed virtual spaces misjudged distances in predictable ways (Bellmund et al. 2020).

Where the claims outrun the data

A meta-analysis of mystery, complexity, legibility and coherence found the link between these qualities and preference was inconsistent and often failed to reproduce (Stamps 2004). Those four terms still appear in a lot of neuroarchitecture writing as though they were settled.

Common problems to watch for: a study that showed people photographs being used to make claims about rooms; an effect on one brain signal described as an effect on wellbeing; a result from twenty students generalized to hospital patients; and a mechanism found in animals presented as a reason to specify a material. The corpus keeps null and conflicting results next to the positive ones so these gaps stay visible. The open questions are listed on the gaps page.

How the studies on this page are graded

Every record in the corpus gets two separate ratings. Evidence strength says how much weight the finding carries within its own science. Translation distance says how many steps sit between that finding and a decision about a building: tested in a real or simulated building, shown in human physiology but not in a building, shown in animals, or theoretical. A strong animal study is still a long way from a floor plan, and the two ratings are never merged into one score. The full rubric is on the method page.

Browse by high evidence, by studies in real buildings, or see every index.

More neuroarchitecture guides

Questions people ask about neuroarchitecture

What is neuroarchitecture?
Neuroarchitecture is the study of how buildings and interiors affect the brain, the nervous system and behavior, using methods from neuroscience, physiology and psychology to test what designers have long assumed. It overlaps with environmental psychology, neuroaesthetics and evidence-based healthcare design.
Is neuroarchitecture backed by science?
Parts of it are. Indoor air quality, temperature, speech noise, open-plan layouts and single hospital rooms have systematic reviews behind them. Claims about curved forms, ceiling height or "mystery" in a space rest on a handful of lab studies, often with images rather than real rooms, and some have not replicated.
What is the difference between neuroarchitecture and neurodesign?
People use the words loosely. Neuroarchitecture usually means research on buildings and cities. Neurodesign is a wider term that also covers products, interfaces and graphics. NEURODESIGN, this site, works on the architectural side.
How is neuroarchitecture research done?
Most studies put people in a real or virtual room and record EEG, heart rate variability, skin conductance or eye movements alongside questionnaires and task scores. Reviews published in 2026 found EEG was the most common tool by a wide margin, while fMRI, which needs the participant lying still in a scanner, was used much less.
Where should an architect start?
Start with the topics that have the most evidence and the shortest path to a design decision: ventilation, thermal control, acoustic privacy, daylight and views to nature. Treat claims about specific shapes or colors as hypotheses to test on your own project.

Sources cited on this page

  1. Fan et al. (2023). Short-term exposure to indoor carbon dioxide and cognitive task performance: A systematic review and meta-analysis. Building and Environment · High · Direct built environment
  2. Satish et al. (2012). Is CO2 an Indoor Pollutant? Direct Effects of Low-to-Moderate CO2 Concentrations on Human Decision-Making Performance. Environmental Health Perspectives · Moderate-high · Direct built environment
  3. Allen et al. (2016). Associations of Cognitive Function Scores with Carbon Dioxide, Ventilation, and Volatile Organic Compound Exposures in Office Workers. Environmental Health Perspectives · Moderate-high · Direct built environment
  4. Porras-Salazar et al. (2021). Meta-analysis of 35 studies examining the effect of indoor temperature on office work performance. Building and Environment · High · Direct built environment
  5. Lin et al. (2025). The effects of temperature on work performance in the typical office environment: A meta-analysis of current evidence. Building and Environment · High · Direct built environment
  6. Zhang, de Dear & Hancock (2019). Effects of moderate thermal environments on cognitive performance: A multidisciplinary review. Applied Energy · High · Direct built environment
  7. Caddick et al. (2018). A review of the environmental parameters necessary for an optimal sleep environment. Building and Environment · High · Direct built environment
  8. Lan, Tsuzuki, Liu & Lian (2017). Thermal environment and sleep quality: A review. Energy and Buildings · High · Direct built environment
  9. Bai et al. (2026). Multimodal evidence of temperature and sex effects on sleep: sleep physiology, sleep quality, and next-day performance. Building and Environment · Moderate-high · Direct built environment
  10. Jahncke et al. (2011). Open-plan office noise: Cognitive performance and restoration. Journal of Environmental Psychology · Moderate-high · Direct built environment
  11. Haapakangas et al. (2020). The relation between intelligibility of irrelevant speech and cognitive performance: a revised model. Indoor Air · High · Direct built environment
  12. Mealings (2022). Classroom acoustics and cognition: review of the effects of noise and reverberation on primary school children. Building Acoustics · High · Direct built environment
  13. Han, Ruan & Liao (2022). Effects of Indoor Plants on Human Functions: A Systematic Review with Meta-Analyses. International Journal of Environmental Research and Public Health · High · Direct built environment
  14. Al Khatib, Samara & Ndiaye (2024). Biophilic design in healthcare: a systematic review of health and wellbeing outcomes. Frontiers in Built Environment · High · Direct built environment
  15. Lee, Shin & Park (2022). Implications of neuroarchitecture for the experience of the built environment: a scoping review. Archnet-IJAR: International Journal of Architectural Research · High · Direct built environment
  16. Jaberi et al. (2026). A comprehensive review of neuroarchitecture measurement tools and methods. Building and Environment · High · Direct built environment
  17. Yılmaz, Akkam & Sedes (2026). Toward Evidence-Based Neuroarchitecture: A Systematic Mapping and Framework for Immersive Spatial Cognition. Frontiers in Psychology · High · Direct built environment
  18. Higuera-Trujillo, Llinares & Macagno (2021). The Cognitive-Emotional Design and Study of Architectural Space: A Scoping Review of Neuroarchitecture and Its Precursor Approaches. Sensors · High · Direct built environment
  19. Karakas & Yildiz (2020). Exploring the influence of the built environment on human experience through a neuroscience approach: A systematic review. Frontiers of Architectural Research · High · Direct built environment
  20. Naghibi Rad et al. (2023). Exploring Methodological Approaches of Experimental Studies in the Field of Neuroarchitecture: A Systematic Review. HERD · High · Direct built environment
  21. Taherysayah, Malathouni, Liang & Westermann (2024). Virtual reality and electroencephalography in architectural design: A systematic review of empirical studies. Journal of Building Engineering · High · Direct built environment
  22. Vartanian et al. (2013). Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture. Proceedings of the National Academy of Sciences · Moderate-high · Direct built environment
  23. Joan Meyers-Levy & Rui Zhu (2007). The Influence of Ceiling Height: The Effect of Priming on the Type of Processing That People Use. Journal of Consumer Research · Moderate-high · Direct built environment
  24. Dosen & Ostwald (2016). Evidence for prospect-refuge theory: a meta-analysis of the findings of environmental preference research. City, Territory and Architecture · High · Direct built environment
  25. Stamps (2004). Mystery, complexity, legibility and coherence: A meta-analysis. Journal of Environmental Psychology · High · Direct built environment
  26. Bellmund et al. (2020). Deforming the metric of cognitive maps distorts memory. Nature Human Behaviour · Moderate-high · Direct built environment
  27. James, Delfabbro & King (2021). A Comparison of Psychological and Work Outcomes in Open-Plan and Cellular Office Designs: A Systematic Review. SAGE Open · High · Direct built environment
  28. de Croon et al. (2005). The effect of office concepts on worker health and performance: a systematic review of the literature. Ergonomics / Occupational literature · High · Direct built environment
  29. Kim & de Dear (2013). Workspace satisfaction: The privacy-communication trade-off in open-plan offices. Journal of Environmental Psychology · Moderate-high · Direct built environment
  30. Ulrich et al. (2008). A Review of the Research Literature on Evidence-Based Healthcare Design. HERD · High · Direct built environment
  31. Taylor, Card & Piatkowski (2018). Single-Occupancy Patient Rooms: A Systematic Review of the Literature Since 2006. HERD · High · Direct built environment
  32. Cavaliere et al. (2026). Psychophysiological responses to indoor wood use: A systematic literature review of indicators, methods, and research trends. Building and Environment · High · Direct built environment
  33. Lee & Eom (2026). Effect of Wood Indoor Environments on Human Psychophysiological Responses and Evaluation Indicators: A Review. Journal of the Korean Wood Science and Technology · High · Direct built environment
  34. Chatterjee, Coburn & Weinberger (2021). The neuroaesthetics of architectural spaces. Cognitive Processing · High · Direct built environment
  35. Bennis et al. (2022). Methodological considerations in the open-plan office paradox. Work · High · Direct built environment

Written by Kesi Shankar, founder of NEURODESIGN. Corpus last updated 2026-11-03. To suggest a study or flag an error, use the contact page.