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Frontiers of Architectural Research

ISSN 2095-2635

ISSN 2095-2643(Online)

CN 10-1024/TU

Postal Subscription Code 80-966

Front. Archit. Res.    2022, Vol. 11 Issue (5) : 877-890    https://doi.org/10.1016/j.foar.2022.02.007
RESEARCH ARTICLE
Neuroscience and architecture: What does the brain tell to an emotional experience of architecture via a functional MR study?
Navid Khaleghimoghaddam1(), Havva Alkan Bala2, Güzin Özmen3, Şerefnur Öztürk4
1. Faculty of Engineering and Architecture, Department of Interior Architecture, Konya Food and Agriculture University, Konya, Turkey
2. Faculty of Architecture and Design, Department of Architecture, Cukurova University, Adana, Turkey
3. Faculty of Technology, Department of Biomedical Engineering, Selçuk University, Konya, Turkey
4. Faculty of Medicine, Department of Neurology, Selçuk University, Konya, Turkey
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Abstract

Environment psychologically affects individuals. According to the base of cognitive psychology, there is a direct relationship between human behavior, environment, and emotional process. Assuming that pleasantness and unpleasantness are associated with peripheral nervous system activation, the current study aims to explore if the pleasant or unpleasant architectural places can stimulate the brain regions engaged in emotions or not. As the main contribution, we used functional magnetic resonance imaging (fMRI) measuring blood oxygenation level-dependent (BOLD) changes to effectively detect the brain’s region that mainly responds to the emotional-perceptual processes. Based on the results of examining the emotional assessment model of „Pleasure-Arousal” applied to 140 students, 30 most-rated images representing 15 pleasant and 15 unpleasant places were shown to 32 participants in a 1.5-T MRI scanner. After applying standard preprocessing steps (re-alignment, slice-timing, coregistration, segmentation, normalization, and smoothing) to functional MR images, first-level analysis was applied to each subject. The results were evaluated using statistical corrections at different levels for female and male participants with the second-level analysis. In conclusion, it has been shown that there is a significant linkage between environmental experience and brain activation so that the architectural qualities can change blood flow in specific brain regions.

Keywords Emotional experience      Architectural stimulus      Pleasant and unpleasant place      fMRI     
Corresponding Author(s): Navid Khaleghimoghaddam   
Issue Date: 31 October 2022
 Cite this article:   
Navid Khaleghimoghaddam,Havva Alkan Bala,Güzin Özmen, et al. Neuroscience and architecture: What does the brain tell to an emotional experience of architecture via a functional MR study?[J]. Front. Archit. Res., 2022, 11(5): 877-890.
 URL:  
https://academic.hep.com.cn/foar/EN/10.1016/j.foar.2022.02.007
https://academic.hep.com.cn/foar/EN/Y2022/V11/I5/877
1 L.F. Barrett,, E. Bliss-Moreau,, S.L. Duncan,, S.L. Rauch,, C.I. Wright,, 2007. The amygdala and the experience of affect. Soc. Cognit. Affect Neurosci. 2, 73–83.
https://doi.org/10.1093/scan/nsl042
2 L. Bonnet,, A. Comte,, L., Tatu1,, J.L. Millot,, T. Moulin,, E.M. de Bustos,, 2015. The role of the amygdala in the perception of positive emotions: an „intensity detector”. Front. Behav. Neurosci. 9, 1–12.
https://doi.org/10.3389/fnbeh.2015.00178
3 M.M. Bradley,, P.J. Lang,, 2002. Measuring emotion: behavior, feeling, and physiology. In: Lane, R.D., Nadel, L. (Eds.), Cognitive Neuroscience of Emotion. Oxford University Press, New York, pp. 242–276.
4 T. Brosch,, K.R. Scherer,, D. Grandjean,, D. Sander,, 2013. The impact of emotion on perception, attention, memory, and decision-making. Swiss Med. Wkly. 143, 1–10 w13786.
https://doi.org/10.4414/smw.2013.13786
5 J.T. Cacioppo,, G.G. Berntson,, J.T. Larsen,, K.M. Poehlmann,, T.A. Ito,, 2001. The psychophysiology of emotion. In: Lewis, M., Haviland-Jones, J.M. (Eds.), Handbook of Emotions (2nd). The Guilford Press, New York, pp. 173–191.
6 J.B. Cohen,, C.S. Areni,, 1991. Affect and consumer behavior. In: Robertson, T.S., Kassarjian, H.H. (Eds.), Handbook of Consumer Theory and Research. Prentice-Hall, Englewood Cliffs, NJ, pp. 188–240.
7 V.D. Costa,, P.J. Lang,, D. Sabatinelli,, F. Versace,, M.M. Bradley,, 2010. Emotional imagery: assessing pleasure and arousal in the brain’s reward circuitry. Hum. Brain Mapp. 31, 1446–1457.
https://doi.org/10.1002/hbm.20948
8 E.A. DeYoe,, P. Bandettini,, J. Neitz,, D. Miller,, P. Winans,, 1994. Functional magnetic resonance imaging (FMRI) of the human brain. J. Neurosci. Methods 54, 171–187.
https://doi.org/10.1016/0165-0270(94)90191-0
9 C. Dormann,, 2003. Affective Experiences in the Home: Measuring Emotion, Home Oriented Infornatics and Telematics. HOIT, Irvine, California.
10 A. Etkin,, K.C. Klemenhagen,, J.T. Dudman,, M.T. Rogan,, R. Hen,, E.R. Kandel,, J. Hirsch,, 2004. Individual differences in trait anxiety predict the response of the basolateral amygdala to unconsciously processed fearful faces. Neuron 44, 1043–1055.
https://doi.org/10.1016/j.neuron.2004.12.006
11 M. Eun Cho,, M.J. Kim,, 2017. Measurement of user emotion and experience in interaction with space. J. Asian Architect. Build Eng. 16, 99–106.
https://doi.org/10.3130/jaabe.16.99
12 R. Gifford,, 2007. Environmental Psychology: Principles and Practice, fourth ed. Optimal Books, WA (Colville).
13 M. Gongora,, S. Teixeira,, L. Martins,, V. Marinho,, B. Velasques,, L. Moraes,, E. Nicoliche,, V.H. Bastos,, M.K. Nunes,, C. Cartier,, V. Nascimento,, R. Vicente,, L.W. Di Giorgio Silva,, M.R. de Carvalho,, J. Di Giacomo,, J. Junqueira,, F. Santos,, M. Cagy,, T. de Oliveira,, D.S. Gupta,, P. Ribeiro,, 2019. Neurobiological evidences, functional and emotional aspects associated with the amygdala: from „what is it?” To „what’s to be done?”. Neuropsychiatry 9, 2379–2396.
14 J.M. Houtkamp,, 2012. Affective Appraisal of Virtual Environments. Utrecht University. Ph.D. Thesis.
15 U. Kirk,, M. Skov,, M.S. Christensen,, N. Nygaard,, 2009. Brain correlates of aesthetic expertise: a parametric fMRI study. Brain Cognit. 69, 306–315.
https://doi.org/10.1016/j.bandc.2008.08.004
16 J. Lang,, 1988. Symbolic aesthetics in architecture: toward a research agenda. Environ aesthetics: Theory, Res Applications. Cambridge University Press, Cambridge, UK.
https://doi.org/10.1017/CBO9780511571213.004
17 P.J. Lang,, M.M. Bradley,, 2010. Emotion and the motivational brain. Biol. Psychol. 84, 437–450.
https://doi.org/10.1016/j.biopsycho.2009.10.007
18 K.A. Lindquist,, T.D. Wager,, H. Kober,, E. Bliss-Moreau,, L.F. Barrett,, 2012. The brain basis of emotion: a meta-analytic review. Behav. Brain Sci. 35, 121–202.
https://doi.org/10.1017/S0140525X11000446
19 H.F. Mallgrave,, 2011. The Architect’s Brain: Neuroscience, Creativity, and Architecture. Wiley-Blackwell.
20 J.L. McGaugh,, 2015. Consolidating memories. Annu. Rev. Psychol. 66, 1–24.
https://doi.org/10.1146/annurev-psych-010814-014954
21 A. Mehrabian,, A. Russell,, 1974. An Approach to Environmental Psychology, Mass. MIT Press, Cambridge.
22 F.C. Murphy,, I. Nimmo-Smith,, A.D. Lawrence,, 2003. Functional neuroanatomy of emotion: a meta-analysis. Cognit. Affect Behav. Neurosci. 3, 207–233.
https://doi.org/10.3758/CABN.3.3.207
23 J. Nasar,, 1997. New developments in aesthetics for urban design. In: Toward the Integration of Theory, Methods, Research, and Utilization, Advances in environment, behavior, and design, 4. Plenum, New York, pp. 149–193.
https://doi.org/10.1007/978-1-4757-4425-5_5
24 J. Pakzad,, H. Bozorg,, 2012. An Introduction to Environmental Psychology for Designers. Armanshahr, Tehran ([Persian]).
25 K.L. Phan,, T.D. Wager,, S.F. Taylor,, I. Liberzon,, 2002. Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage 16, 331–348.
https://doi.org/10.1006/nimg.2002.1087
26 J.B. Poline,, M. Brett,, 2012. The general linear model and fMRI: does love last forever? Neuroimage 62 (2), 871–880.
https://doi.org/10.1016/j.neuroimage.2012.01.133
27 J. Radberg,, L. Steffner,, 2003. Affective appraisals as indicators of aesthetic qualities in urban places. In: 1st Nordic Symposium on Local Planning in Change New Possibilities and Roles, Lillehammer, pp. 14–16, 14th-16th August 2003.
28 G. Richter-Levin,, 2004. The amygdala, the Hippocampus, and emotional modulation of memory. Neuroscientist J. 10 (1), 31–39.
https://doi.org/10.1177/1073858403259955
29 S. Robinson,, E. Moser,, M. Peper,, 2016. fMRI of Emotion. In: Filippi, M. (Ed.), fMRI Techniques and Protocols. Neuromethods 119. Humana Press, New York, NY.
https://doi.org/10.1007/978-1-4939-5611-1_15
30 J.A. Russell,, F. Barrett,, 1999. Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. J. Pers. Soc. Psychol. 5, 805–819.
https://doi.org/10.1037/0022-3514.76.5.805
31 J.A. Russell,, U.F. Lanius,, 1984. Adaptation level and the affective appraisal of environments. J. Environ. Psychol. 4, 119–135.
https://doi.org/10.1016/S0272-4944(84)80029-8
32 J.A. Russell,, J. Snodgrass,, 1987. Emotion and the environment. In: Altaian, I., Stokols, D. (Eds.), Handbook of Environmental Psychology. Wiley, New York, pp. 245–280.
33 D. Sabatinelli,, E.E. Fortune,, Q. Li,, A. Siddiqui,, C. Krafft,, W.T. Oliver,, S. Beck,, J. Jeffries,, 2011. Emotional perception: meta-analyses of face and natural scene processing. Neuroimage 54, 2524–2533.
https://doi.org/10.1016/j.neuroimage.2010.10.011
34 H. Sanoff,, 1991. Visual Research Methods in Design. Van Nostrand Reinhold, New York.
35 K.R. Scherer,, 2001. Appraisal considered as a process of multilevel sequential checking. In: Scherer, K.R., Schorr, A., Johnstone, T. (Eds.), Series in Affective Science, Appraisal Processes in Emotion: Theory, Methods, Research. Oxford University Press, pp. 92–120.
36 L. Schwabe,, C.J. Merz,, B. Walter,, D. Vaitl,, R. Wolf, Stark,, 2011. Emotional modulation of the attentional blink: the neural structures involved in capturing and holding attention. Neuropsychologia 49, 416–425.
https://doi.org/10.1016/j.neuropsychologia.2010.12.037
37 B. Seymour,, R. Dolan,, 2008. Emotion, decision making, and the amygdala. Neuron 58, 662–671.
https://doi.org/10.1016/j.neuron.2008.05.020
38 S.J. Shabel,, P.H. Janak,, 2009. Substantial similarity in amygdala neuronal activity during conditioned appetitive and aversive emotional arousal. Proc. Natl. Acad. Sci. U.S.A 106, 15031–15036.
https://doi.org/10.1073/pnas.0905580106
39 Y.L. Sheline,, D.M. Barch,, J.M. Donnelly,, J.M. Ollinger,, A.Z. Snyder,, M.A. Mintun,, 2001. Increased amygdala response to masked emotional faces in depressed subject resolves with antidepressant treatment: an fMRI study. Biol. Psychiatr. 50, 651–658.
https://doi.org/10.1016/S0006-3223(01)01263-X
40 L.M. Shin,, C.I. Wright,, P.A. Cannistraro,, M.M. Wedig,, K. McMullin,, B. Martis,, M.L. Macklin,, N.B. Lasko,, S.R. Cavanagh,, T.S. Krangel,, S.P. Orr,, R.K. Pitman,, P.J. Whalen,, S.L. Rauch,, 2005. A functional magnetic resonance imaging study of amygdala and medial prefrontal cortex responses to overtly presented fearful faces in posttraumatic stress disorder. Arch. Gen. Psychiatr. 62, 273–281.
https://doi.org/10.1001/archpsyc.62.3.273
41 G.J. Siegle,, S.R. Steinhauer,, M.E. Thase,, V.A. Stenger,, C.S. Carter,, 2002. Can’t shake that feeling: event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals. Biol. Psychiatr. 51, 693–707.
https://doi.org/10.1016/S0006-3223(02)01314-8
42 E.M. Sternberg,, M.A. Wilson,, 2006. Neuroscience and architecture: Seeking Common Ground. Cell. 127 (2), 239–242.
https://doi.org/10.1016/j.cell.2006.10.012
43 D. Stokolos,, I. Altman,, 1987. Handbook of Environmental Psychology. Wiley, New York.
44 Y. Tong,, B. Frederick,, 2014. Tracking cerebral blood flow in BOLD fMRI using recursively generated regressors. Hum. Brain Mapp. 35 (11), 5471–5485.
https://doi.org/10.1002/hbm.22564
45 O. Vartanian,, G. Navarrete,, A. Chatterjee,, L.B. Fich,, H. Leder,, C. Modrono,, M. Nadal,, N. Rostrup,, M. Skov,, 2013. Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture. Proc. Natl. Acad. Sci. Unit. States Am. 110, 10446–10453.
https://doi.org/10.1073/pnas.1301227110
46 O. Vartanian,, G. Navarrete,, A. Chatterjee,, L.B. Fich,, J.L. Gonzalez-Mora,, H. Leder,, C. Modrono,, M. Nadal,, N. Rostrup,, M. Skov,, 2015. Architectural design and the brain: effects of ceiling height and perceived enclosure on beauty judgments and approach-avoidance decisions. J. Environ. Psychol. 41, 10–18.
https://doi.org/10.1016/j.jenvp.2014.11.006
47 I.M. Vogels,, 2008. Atmosphere metrics. In: Westerink, J.H., Ouwerkerk, M., Overbeek, T.J., Pasveer, W.F., de Ruyter, B.F. (Eds.), Probing Experience: from Assessment of User Emotions and Behaviour to Development of Products. Springer, Dordrecht, pp. 25–41.
48 P. Vuilleumier,, 2005. How brains beware: neural mechanisms of emotional attention, Trends. Cognit. Sci. 12, 585–594.
https://doi.org/10.1016/j.tics.2005.10.011
49 T.D. Wager,, K.L. Phan,, I. Liberzon,, S.F. Taylor,, 2003. Valence, gender, and lateralization of functional brain anatomy in emotion: a meta-analysis of findings from neuroimaging. Neuroimage 19, 513–531.
https://doi.org/10.1016/S1053-8119(03)00078-8
50 M. Weymar,, L. Schwabe,, 2016. Amygdala and emotion: the bright side of it. Front. Neurosci. 10, 1–3.
https://doi.org/10.3389/fnins.2016.00224
51 M. Wiesmann,, A. Ishai,, 2011. Expertise reduces neural cost but does not modulate repetition suppression. Cognit. Neurosci. 2, 57–65.
https://doi.org/10.1080/17588928.2010.525628
52 C.W. Woo,, A. Krishnan,, T.D. Wager,, 2014. Cluster extent based thresholding in Fmri analyses: pitfalls and recommendations. Neuroimage 1, 412–419.
https://doi.org/10.1016/j.neuroimage.2013.12.058
53 W. Zheng,, S. Ren,, H. Zhang,, M. Liu,, Q. Zhang,, Z. Chen,, Z. Wang,, 2019. Spatial patterns of decreased cerebral blood flow and functional connectivity in multiple system Atrophy (Cerebellar-Type): a combined arterial spin labeling perfusion and resting state functional magnetic resonance imaging study. Front. Neurosci. 13, 1–9.
https://doi.org/10.3389/fnins.2019.00777
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