• All Articles
  • Cyborg Journeys
  • Energy Management
  • Mental Health
  • Metabolic Health
  • Pro Athlete
  • Wearable Tech
  • Women’s Health
  • All Podcasts
  • Athlete Stories
  • Health Tech & Biohacking
  • Mindfulness
  • Performance

Search for articles, podcasts and more

Please wait...

Try searching for: Metabolic health , Nutrition , Sports science etc.

mental imagery in problem solving

I feel the best on a daily basis, I think this balance is my definition of fitness.

mental imagery in problem solving

What didn't work for most people, worked for me.

mental imagery in problem solving

I was able to add 15 years to my lifespan.

10% off on your first purchase

Subscribe to our WhatsApp for the latest updates and offers, and enjoy 10% off on your first purchase.

Your details are submitted. Check WhatsApp for offers.

Mental Imagery: Learning, Problem-Solving And Performance

Mental imagery represents sensory states such as visual, auditory, olfactory, taste, and proprioceptive states (state of being connected to movement and posture of the body and its physiology).

mental imagery in problem solving

Written by Team Ultrahuman

Learning Problem Solving

Actionables

It is a mental training technique used by productive people to prepare for action by repeating and training their thoughts, feelings, and behaviours to improve their performance and well-being.

Mental Imagery Performance

  • Mental imagery is the mental representation of sensory states such as visual, auditory, olfactory, taste, and proprioceptive states (state of being connected to movement and posture of the body and its physiology) ,
  • It is used effectively in a variety of settings, including psychology, sports psychology, psychotherapy, and remedial education. Mental imagery is used in cognitive-behavioural therapies in psychiatry, particularly for post-traumatic stress disorder (PTSD) and social phobia ,
  • You can learn to use mental imagery by practising it every day. Begin by visualising yourself in a specific situation. For example, imagine you’re participating in a sport like football. Visualising yourself playing before each game can help you improve your performance, confidence, control, and mental awareness while injured.

It is used effectively in a variety of settings, including psychology, sports psychology, psychotherapy, and remedial education. Mental imagery is a scientifically proven technique that uses images to maximize the brain’s potential. Imaging has an impact on more than just the muscles, causing cardiovascular and respiratory responses. 

There are numerous reasons to employ mental imagery. It allows you to:

  • Mentally prepare for a future situation
  • Accomplish a specific goal
  • Anticipate potential future stress
  • Adapt to or master difficult circumstances
  • Accelerate the healing process
  • Reduce and control stress.
  • Modify or improve a behaviour
  • Improve or develop specific skills

Mental Imagery benefits

The brain changes when we physically learn to do an action or a task. Mental imagery is a cognitive process that activates neuronal and behavioural responses similar to actual experience by stimulating the same brain areas involved in the unconscious planning and execution of movements. Neural connections are strengthened, new connections are formed, and old cells are removed.

Mental imagery is a scientifically proven technique that uses images to maximize the brain’s potential. It has been demonstrated using brain imaging techniques such as PET-Scans with radiotracers and functional MRIs (fMRI) that the same regions of the brain are activated when we experience a real-life situation as during a mental imagery exercise and that the regions related to retinotopy (peripheral and/or central vision) are stimulated.

Imaging has an impact on more than just the muscles, causing cardiovascular and respiratory responses. For e.g. your heart rate increases, and your breathing becomes short and shallow as you vividly imagine tomorrow’s stressful meeting. The neural activity that occurs when you see, hear and smell things in visual, auditory, and olfactory imagery is functionally equivalent to an experience that can be registered in the memory. 

Vividly imagining something activates the same neural process that kicks in when you actually see/experience it with your senses in reality. In short, the brain cannot distinguish between what it actually experiences and what it imagines. This is a grey area that we can take advantage of.

Mental .Imagery Science

When information is imagined or perceived, the brain processes it in the same areas. Mental imagery is critical for problem-solving and performing better in situations that require physical or mental exercise.

Mental images are a simplified representation of the cognitive task’s content. The anticipatory role of reasoning is critical in problem-solving, where the goal is to arrive at a solution from a given starting point. As a result, using visual images to solve problems can lead to significant success. 

Three different experimental procedures are used in this chapter to generate a visual representation of the problem elements: 

(1) problem presentation with illustrative pictures, 

(2) problem presentation with instructions to mentally visualize the scene described

(3) previous instructions to mentally visualise and freely elaborate on the problem situation and subsequent problem presentation.

Visualisation can be used to solve problems both after and before they are presented. After the problem has been posed, representations of visual form can be used to simulate the situation and mental transformations described in the problem. In this way, familiar but misleading reasoning strategies can be replaced with new and productive thinking directions that avoid the ‘traps’ created by the verbal formulation.

You can master the use of mental imagery by practising it every day. Start by dealing with the problems that arise throughout the week. Visualising yourself in a specific situation. For example, imagine your next game of football. Visualising yourself playing before each game can help you improve your performance, confidence, control, and mental awareness while injured. You can also see how an object or people appear from various perspectives [8]. A quiet space or room may be used to calm down and allow yourself to become accessible to what you want to visualise or accomplish for a longer, more intense visualisation.

Disclaimer: The contents of this article are for general information and educational purposes only. It neither provides any medical advice nor intends to substitute professional medical opinion on the treatment, diagnosis, prevention or alleviation of any disease, disorder or disability. Always consult with your doctor or qualified healthcare professional about your health condition and/or concerns and before undertaking a new healthcare regimen including making any dietary or lifestyle changes.

  • The uses of mental imagery in athletics: An overview – ScienceDirect  
  • Mental imagery in emotion and emotional disorders – ScienceDirect  
  • Mental Imagery in the Science and Practice of Cognitive Behaviour Therapy: Past, Present, and Future Perspectives | SpringerLink  
  • Brain areas underlying visual mental imagery and visual perception: an fMRI study – ScienceDirect  
  • Neural foundations of imagery | Nature Reviews Neuroscience  

Team Ultrahuman

We, at Ultrahuman, are a team of biohackers, and health and fitness enthusiasts who believe in taking data-driven decisions for our health and well-being. We aim to provide information that would help our readers understand the importance of better health and lifestyle.

Most trending articles

H.S Prannoy: Story of the Thomas Cup Champion

H.S Prannoy: Story of the Thomas Cup Champion

Impact of Keto Diet On Pro Athletes

Impact of Keto Diet On Pro Athletes

A keto diet is generally defined as a high-fat, moderate-protein and very-low-carbohydrate diet, consisting of 75 per cent fat, 25 per…

Adapting To Stressors

Adapting To Stressors

The effects of stress and anxiety on athletes are of paramount concern to coaches and instructors as most sportspersons grapple with…

mental imagery in problem solving

Subscribe to Metablog

Get the best, most science backed, and latest in metabolic health delivered to your inbox each week.

Thank you for subscribing!

Please check your email for confirmation message.

You can unsubscribe at any time, no hard feelings. Privacy Policy

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • View all journals
  • Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • Review Article
  • Published: 22 August 2023

Insights into embodied cognition and mental imagery from aphantasia

  • Emiko J. Muraki   ORCID: orcid.org/0000-0001-9534-6538 1 , 2 ,
  • Laura J. Speed   ORCID: orcid.org/0000-0002-3147-3615 3 &
  • Penny M. Pexman   ORCID: orcid.org/0000-0001-7130-0973 1 , 2  

Nature Reviews Psychology volume  2 ,  pages 591–605 ( 2023 ) Cite this article

1065 Accesses

1 Citations

31 Altmetric

Metrics details

  • Behavioural methods
  • Language and linguistics

Mental representations allow humans to think about, remember and communicate about an infinite number of concepts. A key question within cognitive psychology is how the mind stores and accesses the meaning of concepts. Embodied theories propose that concept knowledge includes or requires simulations of the sensory and physical interactions of one’s body with the world, even when a concept is subsequently processed in a context unrelated to those interactions. However, the nature of these simulations is highly debated and their mechanisms underspecified. Insight into whether and how simulations support concept knowledge can be derived from studying related mental representations, such as mental imagery. In particular, research into the inability to form mental imagery, known as aphantasia, can advance understanding of mental imagery and mental simulations. In this Review, we provide an overview of embodied theories of cognition, review research in mental imagery and consider how simulation and mental imagery might overlap. We then synthesize the growing aphantasia literature and discuss how aphantasia can be used to test predictions derived from theories of embodied cognition.

This is a preview of subscription content, access via your institution

Access options

Subscribe to this journal

Receive 12 digital issues and online access to articles

55,14 € per year

only 4,60 € per issue

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF

Prices may be subject to local taxes which are calculated during checkout

mental imagery in problem solving

Similar content being viewed by others

mental imagery in problem solving

A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia

Alexei J. Dawes, Rebecca Keogh, … Joel Pearson

mental imagery in problem solving

The human imagination: the cognitive neuroscience of visual mental imagery

Joel Pearson

mental imagery in problem solving

Reverse-engineering the cortical architecture for controlled semantic cognition

Rebecca L. Jackson, Timothy T. Rogers & Matthew A. Lambon Ralph

Pearson, J., Naselaris, T., Holmes, E. A. & Kosslyn, S. M. Mental imagery: functional mechanisms and clinical applications. Trends Cogn. Sci. 19 , 590–602 (2015).

Article   PubMed   PubMed Central   Google Scholar  

Zeman, A. Z. J. et al. Loss of imagery phenomenology with intact visuo-spatial task performance: a case of ‘blind imagination’. Neuropsychologia 48 , 145–155 (2010).

Article   PubMed   Google Scholar  

Zeman, A., Dewar, M. & Della Sala, S. Lives without imagery — congenital aphantasia. Cortex 73 , 378–380 (2015). This article is among the first to describe and characterize congenital aphantasia, the lifelong absence of mental imagery.

Wilson, M. Six views of embodied cognition. Psychon. Bull. Rev. 9 , 625–636 (2002).

Barsalou, L. W. Grounded cognition. Annu. Rev. Psychol. 59 , 617–645 (2008). This article describes the theoretical foundation of embodied cognition as it relates to several cognitive processes and reviews the empirical literature testing embodied theories of cognition.

Mahon, B. Z. & Caramazza, A. A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. J. Physiol.-Paris 102 , 59–70 (2008).

Ostarek, M. & Bottini, R. Towards strong inference in research on embodiment — possibilities and limitations of causal paradigms. J. Cogn. 4 , 1–21 (2020). This article critiques empirical evidence for embodied conceptual processing and proposes methodological approaches to better understand the causal relationship between sensory experience and conceptual processing.

Google Scholar  

Dawes, A. J., Keogh, R., Robuck, S. & Pearson, J. Memories with a blind mind: remembering the past and imagining the future with aphantasia. Cognition 227 , 105192 (2022).

Fodor, J. A. The Language of Thought Vol. 5 (Harvard Univ. Press, 1975).

Pylyshyn, Z. Computation and cognition: issues in the foundations of cognitive science. Behav. Brain Sci. 3 , 111–169 (1980).

Article   Google Scholar  

Anderson, J. R. Arguments concerning representations for mental imagery. Psychol. Rev. 85 , 249–277 (1978).

Pylyshyn, Z. W. What the mind’s eye tells the mind’s brain: a critique of mental imagery. Psychol. Bull. 80 , 1–24 (1973).

Zwaan, R. A. The immersed experiencer: toward an embodied theory of language comprehension. Psychol. Learn. Motiv. 44 , 35–62 (2004).

Meteyard, L., Cuadrado, S. R., Bahrami, B. & Vigliocco, G. Coming of age: a review of embodiment and the neuroscience of semantics. Cortex 48 , 788–804 (2012). This article describes the spectrum of theories related to embodied and non-embodied semantic representation, linking behavioural and neural evidence with the theories.

Collins, A. M. & Loftus, E. F. A spreading-activation theory of semantic processing. Psychol. Rev. 82 , 407 (1975).

Quillian, M. R. Word concepts: a theory and simulation of some basic semantic capabilities. Behav. Sci. 12 , 410–430 (1967).

Quillian, R. A revised design for an understanding machine. Mech. Transl. 7 , 17–29 (1962).

Patterson, K. & Lambon Ralph, M. A. in Neurobiology of Language Ch. 61 (eds Hickok, G. & Small, S. L.) 765–775 (Academic, 2016).

Barsalou, L. W., Santos, A., Simmons, W. K. & Wilson, C. D. in Symbols, Embodiment, and Meaning (eds De Vega, M., Glenberg, A. M. & Graesser, A. C.) 245–283 (Oxford Univ. Press, 2008).

Connell, L. What have labels ever done for us? The linguistic shortcut in conceptual processing. Lang. Cogn. Neurosci. 34 , 1308–1318 (2019).

Paivio, A. Imagery and Verbal Processes (Holt, Rinehart and Winston, 1971).

Paivio, A. Mental imagery in associative learning and memory. Psychol. Rev. 76 , 241–263 (1969).

Balota, D. A., Cortese, M. J., Sergent-Marshall, S. D., Spieler, D. H. & Yap, M. J. Visual word recognition of single-syllable words. J. Exp. Psychol.-Gen. 133 , 283–316 (2004).

Barsalou, L. W. Perceptual symbol systems. Behav. Brain Sci. 22 , 577–660 (1999).

Glenberg, A. M. & Gallese, V. Action-based language: a theory of language acquisition, comprehension, and production. Cortex 48 , 905–922 (2012).

Brysbaert, M., Warriner, A. B. & Kuperman, V. Concreteness ratings for 40 thousand generally known English word lemmas. Behav. Res. Methods 46 , 904–911 (2014).

Lynott, D., Connell, L., Brysbaert, M., Brand, J. & Carney, J. The lancaster sensorimotor norms: multidimensional measures of perceptual and action strength for 40,000 English words. Behav. Res. Methods 52 , 1271–1291 (2020).

Pexman, P. M., Muraki, E., Sidhu, D. M., Siakaluk, P. D. & Yap, M. J. Quantifying sensorimotor experience: body-object interaction ratings for more than 9,000 English words. Behav. Res. Methods 51 , 453–466 (2019).

Balota, D. A. et al. The English Lexicon Project. Behav. Res. Methods 39 , 445–459 (2007).

Siakaluk, P. D., Pexman, P. M., Aguilera, L., Owen, W. J. & Sears, C. R. Evidence for the activation of sensorimotor information during visual word recognition: the body–object interaction effect. Cognition 106 , 433–443 (2008).

Sidhu, D. M., Kwan, R., Pexman, P. M. & Siakaluk, P. D. Effects of relative embodiment in lexical and semantic processing of verbs. Acta Psychol. 149 , 32–39 (2014).

Pecher, D., Zeelenberg, R. & Barsalou, L. W. Verifying different-modality properties for concepts produces switching costs. Psychol. Sci. 14 , 119–124 (2003).

Pecher, D., Zeelenberg, R. & Barsalou, L. W. Sensorimotor simulations underlie conceptual representations: modality-specific effects of prior activation. Psychon. Bull. Rev. 11 , 164–167 (2004).

Dove, G. Three symbol ungrounding problems: abstract concepts and the future of embodied cognition. Psychon. Bull. Rev. 23 , 1109–1121 (2016).

Louwerse, M. M. Symbol interdependency in symbolic and embodied cognition. Top. Cogn. Sci. 3 , 273–302 (2011).

Glenberg, A. M. & Kaschak, M. P. Grounding language in action. Psychon. Bull. Rev. 9 , 558–565 (2002).

Stanfield, R. A. & Zwaan, R. The effect of implied orientation derived from verbal context on picture recognition. Psychol. Sci. 12 , 153–156 (2001).

Morey, R. D. et al. A pre-registered, multi-lab non-replication of the action-sentence compatibility effect (ACE). Psychon. Bull. Rev. 29 , 613–626 (2021).

Winter, A. The action–sentence compatibility effect (ACE): meta-analysis of a benchmark finding for embodiment. Acta Psychol. 230 , 103712 (2022).

Muraki, E. J. & Pexman, P. M. Simulating semantics: are individual differences in motor imagery related to sensorimotor effects in language processing? J. Exp. Psychol. Learn. Mem. Cogn. 47 , 1939–1957 (2021).

Zwaan, R. A. & Pecher, D. Revisiting mental simulation in language comprehension: six replication attempts. PLoS ONE 7 , e51382 (2012).

Beveridge, M. E. L. & Pickering, M. J. Perspective taking in language: integrating the spatial and action domains. Front. Hum. Neurosci. 7 , 577 (2013).

Hargreaves, I. S., White, M., Pexman, P. M., Pittman, D. & Goodyear, B. G. The question shapes the answer: the neural correlates of task differences reveal dynamic semantic processing. Brain Lang. 120 , 73–78 (2012).

Tousignant, C. & Pexman, P. Flexible recruitment of semantic richness: context modulates body–object interaction effects in lexical-semantic processing. Front. Hum. Neurosci. 6 , 7 (2012).

van Dam, W. O., van Dijk, M., Bekkering, H. & Rueschemeyer, S.-A. Flexibility in embodied lexical-semantic representations. Hum. Brain Mapp. 33 , 2322–2333 (2012).

Reifegerste, J., Meyer, A. S., Zwitserlood, P. & Ullman, M. T. Aging affects steaks more than knives: evidence that the processing of words related to motor skills is relatively spared in aging. Brain Lang. 218 , 104941 (2021).

Simonsen, H. G., Lind, M., Hansen, P., Holm, E. & Mevik, B. H. Imageability of Norwegian nouns, verbs and adjectives in a cross-linguistic perspective. Clin. Linguist. Phon. 27 , 435–446 (2013).

Ibáñez, A. et al. Ecological meanings: a consensus paper on individual differences and contextual influences in embodied language. Preprint at OSF https://osf.io/ej5y3/ (2022).

Andrews, M., Vigliocco, G. & Vinson, D. Integrating experiential and distributional data to learn semantic representations. Psychol. Rev. 116 , 463–498 (2009).

Banks, B., Wingfield, C. & Connell, L. Linguistic distributional knowledge and sensorimotor grounding both contribute to semantic category production. Cogn. Sci. 45 , e13055 (2021).

Henningsen-Schomers, M. R., Garagnani, M. & Pulvermüller, F. Influence of language on perception and concept formation in a brain-constrained deep neural network model. Philos. Trans. R. Soc. B Biol. Sci. 378 , 20210373 (2023).

Barsalou, L. W. Challenges and opportunities for grounding cognition. J. Cogn. 3 , 31 (2020).

Ostarek, M. & Huettig, F. A task-dependent causal role for low-level visual processes in spoken word comprehension. J. Exp. Psychol. Learn. Mem. Cogn. 43 , 1215–1224 (2017).

Kuhnke, P., Beaupain, M. C., Arola, J., Kiefer, M. & Hartwigsen, G. Meta-analytic evidence for a novel hierarchical model of conceptual processing. Neurosci. Biobehav. Rev . 144 , 104994 (2022). This article reports a meta-analysis examining the role of modal regions in conceptual processing.

Gallese, V. Mirror neurons and the social nature of language: the neural exploitation hypothesis. Soc. Neurosci. 3 , 317–333 (2008).

Pulvermüller, F. Semantic embodiment, disembodiment or misembodiment? In search of meaning in modules and neuron circuits. Brain Lang. 127 , 86–103 (2013).

Barsalou, L. W. On staying grounded and avoiding quixotic dead ends. Psychon. Bull. Rev. 23 , 1122–1142 (2016).

Barsalou, L. W. Establishing generalizable mechanisms. Psychol. Inq. 30 , 220–230 (2019).

Bottini, R., Morucci, P., D’Urso, A., Collignon, O. & Crepaldi, D. The concreteness advantage in lexical decision does not depend on perceptual simulations. J. Exp. Psychol. Gen. 151 , 731–738 (2022).

Boulenger, V. et al. Word processing in Parkinson’s disease is impaired for action verbs but not for concrete nouns. Neuropsychologia 46 , 743–756 (2008).

Buccino, G. et al. Processing graspable object images and their nouns is impaired in Parkinson’s disease patients. Cortex 100 , 32–39 (2018).

García, A. M. et al. Parkinson’s disease compromises the appraisal of action meanings evoked by naturalistic texts. Cortex 100 , 111–126 (2018).

García, A. M. et al. How language flows when movements don’t: an automated analysis of spontaneous discourse in Parkinson’s disease. Brain Lang. 162 , 19–28 (2016).

Nistico, R. et al. The embodiment of language in tremor-dominant Parkinson’s disease patients. Brain Cogn. 135 , 103586 (2019).

Trumpp, N. M., Kliese, D., Hoenig, K., Haarmeier, T. & Kiefer, M. Losing the sound of concepts: damage to auditory association cortex impairs the processing of sound-related concepts. Cortex 49 , 474–486 (2013).

Kim, J. S., Elli, G. V. & Bedny, M. Knowledge of animal appearance among sighted and blind adults. Proc. Natl Acad. Sci. USA 116 , 11213–11222 (2019).

Lewis, M., Zettersten, M. & Lupyan, G. Distributional semantics as a source of visual knowledge. Proc. Natl Acad. Sci. USA 116 , 19237–19238 (2019).

Nanay, B. Multimodal mental imagery. Cortex 105 , 125–134 (2018).

Pearson, J. The human imagination: the cognitive neuroscience of visual mental imagery. Nat. Rev. Neurosci. 20 , 624–634 (2019). This article provides an overview of the neural bases of visual imagery.

Pearson, J. & Westbrook, F. Phantom perception: voluntary and involuntary nonretinal vision. Trends Cogn. Sci. 19 , 278–284 (2015).

Kwok, E. L., Leys, G., Koenig-Robert, R. & Pearson, J. Measuring thought-control failure: sensory mechanisms and individual differences. Psychol. Sci. 30 , 811–821 (2019).

Jeannerod, M. Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage 14 , S103–S109 (2001).

Willems, R. M., Toni, I., Hagoort, P. & Casasanto, D. Neural dissociations between action verb understanding and motor imagery. J. Cogn. Neurosci. 22 , 2387–2400 (2009).

Connell, L. & Lynott, D. Do we know what we’re simulating? Information loss on transferring unconscious perceptual simulation to conscious imagery. J. Exp. Psychol. Learn. Mem. Cogn. 42 , 1218–1232 (2016).

Pearson, J. & Kosslyn, S. M. The heterogeneity of mental representation: ending the imagery debate. Proc. Natl Acad. Sci. USA   112 , 10089–10092 (2015).

Kosslyn, S. M., Ganis, G. & Thompson, W. L. Neural foundations of imagery. Nat. Rev. Neurosci. 2 , 635–642 (2001).

Keogh, R. & Pearson, J. The perceptual and phenomenal capacity of mental imagery. Cognition 162 , 124–132 (2017).

Pearson, J., Clifford, C. W. G. & Tong, F. The functional impact of mental imagery on conscious perception. Curr. Biol. 18 , 982–986 (2008).

Brascamp, J. W., Knapen, T. H. J., Kanai, R., Van Ee, R. & Van Den Berg, A. V. Flash suppression and flash facilitation in binocular rivalry. J. Vis. 7 , 12 (2007).

Chang, S., Lewis, D. E. & Pearson, J. The functional effects of color perception and color imagery. J. Vis. 13 , 4–4 (2013).

Kosslyn, S. M. Scanning visual images: some structural implications. Percept. Psychophys. 14 , 90–94 (1973).

Kosslyn, S. M. Information representation in visual images. Cognit. Psychol. 7 , 341–370 (1975).

Kosslyn, S. M. Can imagery be distinguished from other forms of internal representation? Evidence from studies of information retrieval times. Mem. Cognit. 4 , 291–297 (1976).

Parsons, L. M. Imagined spatial transformations of one’s hands and feet. Cognit. Psychol. 19 , 178–241 (1987).

Shepard, R. N. & Metzler, J. Mental rotation of three-dimensional objects. Science 171 , 701–703 (1971).

Shepard, S. & Metzler, D. Mental rotation: effects of dimensionality of objects and type of task. J. Exp. Psychol. Hum. Percept. Perform. 14 , 3–11 (1988).

Kosslyn, S. M. & Pomerantz, J. R. Imagery, propositions, and the form of internal representations. Cognit. Psychol. 9 , 52–76 (1977).

Albers, A. M., Kok, P., Toni, I., Dijkerman, H. C. & de Lange, F. P. Shared representations for working memory and mental imagery in early visual cortex. Curr. Biol. 23 , 1427–1431 (2013).

Stokes, M., Thompson, R., Cusack, R. & Duncan, J. Top-down activation of shape-specific population codes in visual cortex during mental imagery. J. Neurosci. 29 , 1565–1572 (2009).

Harrison, S. A. & Tong, F. Decoding reveals the contents of visual working memory in early visual areas. Nature 458 , 632–635 (2009).

Kosslyn, S. M. et al. The role of area 17 in visual imagery: convergent evidence from PET and rTMS. Science 284 , 167–170 (1999).

Cui, X., Jeter, C. B., Yang, D., Montague, P. R. & Eagleman, D. M. Vividness of mental imagery: individual variability can be measured objectively. Vis. Res. 47 , 474–478 (2007).

Dijkstra, N., Zeidman, P., Ondobaka, S., van Gerven, M. A. J. & Friston, K. Distinct top-down and bottom-up brain connectivity during visual perception and imagery. Sci. Rep. 7 , 5677 (2017).

Bensafi, M., Rinck, F., Schaal, B. & Rouby, C. Verbal cues modulate hedonic perception of odors in 5-year-old children as well as in adults. Chem. Senses 32 , 855–862 (2007).

Djordjevic, J., Zatorre, R. J., Petrides, M., Boyle, J. A. & Jones-Gotman, M. Functional neuroimaging of odor imagery. NeuroImage 24 , 791–801 (2005).

Bunzeck, N., Wuestenberg, T., Lutz, K., Heinze, H. J. & Jancke, L. Scanning silence: mental imagery of complex sounds. NeuroImage 26 , 1119–1127 (2005).

Hubbard, T. L. Auditory imagery: empirical findings. Psychol. Bull. 136 , 302–329 (2010).

Schmidt, T. T., Ostwald, D. & Blankenburg, F. Imaging tactile imagery: changes in brain connectivity support perceptual grounding of mental images in primary sensory cortices. NeuroImage 98 , 216–224 (2014).

Schmidt, T. T. & Blankenburg, F. The somatotopy of mental tactile imagery. Front. Hum. Neurosci. 13 , 10 (2019).

Yoo, S.-S., Freeman, D. K., McCarthy, J. J. & Jolesz, F. A. Neural substrates of tactile imagery: a functional MRI study. NeuroReport 14 , 581–585 (2003).

Gerardin, E. Partially overlapping neural networks for real and imagined hand movements. Cereb. Cortex 10 , 1093–1104 (2000).

Hardwick, R. M., Caspers, S., Eickhoff, S. B. & Swinnen, S. P. Neural correlates of action: comparing meta-analyses of imagery, observation, and execution. Neurosci. Biobehav. Rev. 94 , 31–44 (2018).

Linke, A. C. & Cusack, R. Flexible information coding in human auditory cortex during perception, imagery, and STM of complex sounds. J. Cogn. Neurosci. 27 , 1322–1333 (2015).

Plailly, J., Delon-Martin, C. & Royet, J. P. Experience induces functional reorganization in brain regions involved in odor imagery in perfumers. Hum. Brain Mapp. 33 , 224–234 (2012).

Alemanno, F. et al. Action-related semantic content and negation polarity modulate motor areas during sentence reading: an event-related desynchronization study. Brain Res. 1484 , 39–49 (2012).

Bechtold, L., Ghio, M., Lange, J. & Bellebaum, C. Event-related desynchronization of mu and beta oscillations during the processing of novel tool names. Brain Lang. 177–178 , 44–55 (2018).

Moreno, I., de Vega, M. & León, I. Understanding action language modulates oscillatory mu and beta rhythms in the same way as observing actions. Brain Cogn. 82 , 236–242 (2013).

Moreno, I. et al. Brain dynamics in the comprehension of action-related language. a time-frequency analysis of mu rhythms. NeuroImage 109 , 50–62 (2015).

Niccolai, V. et al. Grasping hand verbs: oscillatory beta and alpha correlates of action-word processing. PLoS ONE 9 , e108059 (2014).

van Elk, M., van Schie, H. T., Zwaan, R. A. & Bekkering, H. The functional role of motor activation in language processing: motor cortical oscillations support lexical-semantic retrieval. NeuroImage 50 , 665–677 (2010).

Cayol, Z., Rotival, C., Paulignan, Y. & Nazir, T. A. “Embodied” language processing: mental motor imagery aptitude predicts word-definition skill for high but not for low imageable words in adolescents. Brain Cogn. 145 , 105628 (2020).

McKelvie, S. J. & Demers, E. G. Individual differences in reported visual imagery and memory performance. Br. J. Psychol. 70 , 51–57 (1979).

Bonnet, C. et al. Kinesthetic motor-imagery training improves performance on lexical-semantic access. PLoS ONE 17 , e0270352 (2022).

Pecher, D., van Dantzig, S. & Schifferstein, H. N. J. Concepts are not represented by conscious imagery. Psychon. Bull. Rev. 16 , 914–919 (2009).

Speed, L. J. & Majid, A. An exception to mental simulation: no evidence for embodied odor language. Cogn. Sci. 42 , 1146–1178 (2018).

Keogh, R., Pearson, J. & Zeman, A. in Handbook of Clinical Neurology vol. 178 (eds. Barton, J. J. S. & Leff, A.) 277–296 (Elsevier, 2021). This chapter provides a review of the extremes of visual imagery and current research on aphantasia and hyperphantasia.

Dance, C. J., Ipser, A. & Simner, J. The prevalence of aphantasia (imagery weakness) in the general population. Conscious. Cogn. 10 , 103243 (2022).

Zeman, A. et al. Phantasia — the psychological significance of lifelong visual imagery vividness extremes. Cortex 130 , 426–440 (2020).

Milton, F. et al. Behavioral and neural signatures of visual imagery vividness extremes: aphantasia versus hyperphantasia. Cereb. Cortex Commun. 2 , tgab035 (2021).

Farah, M. J., Hammond, K. M., Levine, D. N. & Calvanio, R. Visual and spatial mental imagery: dissociable systems of representation. Cognit. Psychol. 20 , 439–462 (1988).

Marks, D. F. Visual imagery differences in the recall of pictures. Br. J. Psychol. 64 , 17–24 (1973).

Dance, C. J., Ward, J. & Simner, J. What is the link between mental imagery and sensory sensitivity? Insights from aphantasia. Perception 50 , 757–782 (2021).

Dawes, A. J., Keogh, R., Andrillon, T. & Pearson, J. A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia. Sci. Rep. 10 , 10022 (2020).

Keogh, R. Visual working memory in aphantasia: retained accuracy and capacity with a different strategy. Cortex 143 , 237–253 (2021).

Wicken, M., Keogh, R. & Pearson, J. The critical role of mental imagery in human emotion: insights from fear-based imagery and aphantasia. Proc. R. Soc. B Biol. Sci. 288 , 20210267 (2021).

Bainbridge, W. A., Pounder, Z., Eardley, A. F. & Baker, C. I. Quantifying aphantasia through drawing: those without visual imagery show deficits in object but not spatial memory. Cortex 135 , 159–172 (2021).

Monzel, M., Keidel, K. & Reuter, M. Imagine, and you will find — lack of attentional guidance through visual imagery in aphantasics. Atten. Percept. Psychophys. 83 , 2486–2497 (2021).

Keogh, R. & Pearson, J. The blind mind: no sensory visual imagery in aphantasia. Cortex 105 , 53–60 (2018).

Kay, L., Keogh, R., Andrillon, T. & Pearson, J. The pupillary light response as a physiological index of aphantasia, sensory and phenomenological imagery strength. eLife 11 , e72484 (2022).

Visser, I. et al. Improving the generalizability of infant psychological research: the ManyBabies model. Behav. Brain Sci. 45 , e35 (2022).

Takahashi, J. et al. Diversity of aphantasia revealed by multiple assessments of visual imagery, multisensory imagery, and cognitive style. Front. Psychol. 14 , 1174873 (2023).

Blajenkova, O., Kozhevnikov, M. & Motes, M. A. Object-spatial imagery: a new self-report imagery questionnaire. Appl. Cogn. Psychol. 20 , 239–263 (2006).

Palermo, L., Boccia, M., Piccardi, L. & Nori, R. Congenital lack and extraordinary ability in object and spatial imagery: an investigation on sub-types of aphantasia and hyperphantasia. Conscious. Cogn. 103 , 103360 (2022).

Jacobs, C., Schwarzkopf, D. S. & Silvanto, J. Visual working memory performance in aphantasia. Cortex 105 , 61–73 (2018).

Monzel, M., Vetterlein, A. & Reuter, M. Memory deficits in aphantasics are not restricted to autobiographical memory — perspectives from the dual coding approach. J. Neuropsychol. 16 , 444–461 (2022).

Fulford, J. et al. The neural correlates of visual imagery vividness — an fMRI study and literature review. Cortex 105 , 26–40 (2018).

Speed, L. J. & Majid, A. Grounding language in the neglected senses of touch, taste, and smell. Cogn. Neuropsychol. 37 , 363–392 (2020).

Hald, L. A., van den Hurk, M. & Bekkering, H. Learning verbs more effectively through meaning congruent action animations. Learn. Instr. 39 , 107–122 (2015).

James, K. H. & Swain, S. N. Only self-generated actions create sensori-motor systems in the developing brain. Dev. Sci. 14 , 673–678 (2011).

Muraki, E. J., Siddiqui, I. A. & Pexman, P. M. Quantifying children’s sensorimotor experience: child body–object interaction ratings for 3359 English words. Behav. Res. Methods 54 , 2864–2877 (2022).

Thill, S. & Twomey, K. E. What’s on the inside counts: a grounded account of concept acquisition and development. Front. Psychol. 7 , 402 (2016).

Pexman, P. M. The role of embodiment in conceptual development. Lang. Cogn. Neurosci. 34 , 1274–1283 (2019).

Cortese, M. J. & Fugett, A. Imageability ratings for 3,000 monosyllabic words. Behav. Res. Methods Instrum. Comput. 36 , 384–387 (2004).

Schock, J., Cortese, M. J. & Khanna, M. M. Imageability estimates for 3,000 disyllabic words. Behav. Res. Methods 44 , 374–379 (2012).

Juhasz, B. J. & Yap, M. J. Sensory experience ratings for over 5,000 mono- and disyllabic words. Behav. Res. Methods 45 , 160–168 (2013).

Brysbaert, M. & New, B. Moving beyond Kucera and Francis: a critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behav. Res. Methods 41 , 977–990 (2009).

Hoffman, P., Lambon Ralph, M. A. & Rogers, T. T. Semantic diversity: a measure of semantic ambiguity based on variability in the contextual usage of words. Behav. Res. Methods 45 , 718–730 (2013).

Shaoul, C. & Westbury, C. Exploring lexical co-occurrence space using HiDEx. Behav. Res. Methods 42 , 393–413 (2010).

Pounder, Z. et al. Only minimal differences between individuals with congenital aphantasia and those with typical imagery on neuropsychological tasks that involve imagery. Cortex 148 , 180–192 (2022).

Dance, C. J. et al. What is the relationship between aphantasia, synaesthesia and autism? Conscious. Cogn. 89 , 103087 (2021).

Ganczarek, J., Żurawska-Żyła, R. & Rolek, A. “I remember things, but I can’t picture them.” What can a case of aphantasia tell us about imagery and memory? Psychiatr. Psychol. Klin. 20 , 134–141 (2020).

Keogh, R. & Pearson, J. Attention driven phantom vision: measuring the sensory strength of attentional templates and their relation to visual mental imagery and aphantasia. Philos. Trans. R. Soc. B Biol. Sci. 376 , 20190688 (2021).

Königsmark, V. T., Bergmann, J. & Reeder, R. R. The Ganzflicker experience: high probability of seeing vivid and complex pseudo-hallucinations with imagery but not aphantasia. Cortex 141 , 522–534 (2021).

Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J. & Clubley, E. The Autism-spectrum Quotient (AQ): evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. J. Autism Dev. Disord. 31 , 5–17 (2001).

Blomkvist, A. Aphantasia: in search of a theory. Mind Lang . https://doi.org/10.1111/mila.12432 (2022).

Blazhenkova, O. & Pechenkova, E. The two eyes of the blind mind: object vs. spatial aphantasia? Russ. J. Cogn. Sci. 6 , 51–62 (2019).

Download references

Author information

Authors and affiliations.

Department of Psychology, University of Calgary, Calgary, Alberta, Canada

Emiko J. Muraki & Penny M. Pexman

Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada

Centre for Language Studies, Radboud University, Nijmegen, The Netherlands

Laura J. Speed

You can also search for this author in PubMed   Google Scholar

Contributions

E.J.M. and P.M.P. conceptualized the paper. All authors contributed substantially to discussion of the content. E.J.M. wrote the article. All authors reviewed and/or edited the manuscript before submission.

Corresponding authors

Correspondence to Emiko J. Muraki or Penny M. Pexman .

Ethics declarations

Competing interests.

The authors declare no competing interests.

Peer review

Peer review information.

Nature Reviews Psychology thanks Laura Bechtold, Leo Dutriaux and Jamie Ward for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Cite this article.

Muraki, E.J., Speed, L.J. & Pexman, P.M. Insights into embodied cognition and mental imagery from aphantasia. Nat Rev Psychol 2 , 591–605 (2023). https://doi.org/10.1038/s44159-023-00221-9

Download citation

Accepted : 17 July 2023

Published : 22 August 2023

Issue Date : October 2023

DOI : https://doi.org/10.1038/s44159-023-00221-9

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Quick links

  • Explore articles by subject
  • Guide to authors
  • Editorial policies

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

mental imagery in problem solving

Psych 256: Cognitive Psychology, 002, SP24

Making connections between theory and reality., a mental gymnasium for problem-solving excellence.

The checkered chess battlefield offers more than just a thrilling contest of wits. It is a realm where strategy, calculation, and foresight intersect. While the objective – the elegant capture of your opponent’s king – seems simple, achieving it demands a sophisticated approach to problem-solving. Let us dive into the fascinating world of cognitive psychology to understand how the ancient chess game sharpens our minds and prepares us for challenges on and off the board.

At the heart of chess lies visual imagery. Picture yourself studying the board, each piece a symbol of potential. Arranging and rearranging these elements in your mind is a mental exercise in spatial reasoning, crucial for pinpointing vulnerabilities and plotting cunning maneuvers. (Goldstein, 2018, chapter 10)

However, mere visualization is not enough; planning is the key to victory. In chess, we plan from the very first move. From short-term tactical strikes to long-term strategic domination, a chess player must envision possibilities several steps ahead. As Charness (1981) demonstrated, expert players are masters at “thinking ahead,” simulating scenarios in their minds to predict outcomes and outwit their opponents.

While chess is a game of infinite possibilities, calculated choice is its backbone. Each potential move requires meticulous evaluation. Is exchanging pieces strategically wise, even if it means sacrificing a powerful piece for long-term positional advantage? Should your focus bolster an impenetrable defense, or is a surprise attack the path to victory? Beginners might rely on simple heuristics, such as “never leave your king exposed,” while more seasoned players adopt complex strategic principles, continuously weighing risks and rewards with every decision.

The chessboard is dynamic, as the tide can change in a battle. An opponent’s unanticipated move might dismantle your best-laid plans, forcing you to adapt, rework your strategies, and visualize new possibilities on the fly. This echoes the unpredictable and ever-changing nature of real-world problem-solving, where mental agility is paramount.

The cognitive benefits of chess extend far beyond its 64 squares. Research like that of Gobet and Simon (1996) reveals that chess expertise enhances pattern recognition. Players develop the ability to quickly process board configurations and identify familiar tactical motifs, allowing them to access past knowledge and respond rapidly in new contexts.

Chess is more than a pastime; it is a workout for your mind. Through visual imagery, planning, evaluation, and adaptability, chess strengthens our problem-solving abilities and prepares us to tackle the unexpected. So, next time you sit before the board, remember that each move is not just about winning the game but training your brain to think creatively, analyze critically, and become a strategy master. These skills will undoubtedly serve you well in all of life’s challenges.

Goldstein, E.B. (2018). Cognitive Psychology: Connecting Mind, Research and Everyday Experience (Chapter 10: Visual Imagery). Cengage

Goldstein, E.B. (2018). Cognitive Psychology: Connecting Mind, Research and Everyday Experience (Chapter 12: Problem Solving and Creativity). Cengage

Charness, N. (1981). Searching for chess expertise.  Memory & Cognition , 9(4), 387–397.

Gobet, F., & Simon, H. A. (1996). Templates in chess memory: A mechanism for recalling several boards.  Cognitive Psychology, 31, 1-40.

Leave a Reply Cancel reply

You must be logged in to post a comment.

Mental Imagery and Learning

  • Reference work entry
  • pp 2191–2194
  • Cite this reference work entry

Book cover

  • Barbara Colombo 2  

543 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
  • Available as EPUB and PDF
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Cornoldi, C., Logie, R., Bradimonte, M., Kufmann, G., & Reisberg, D. (1996). Stretching the imagination: Representation and transformation in mental imagery . New York: Oxford University Press.

Google Scholar  

Denis, M. (1991). Image and cognition . New York: Harvester Wheat sheaf.

McDaniel, M. A., & Pressely, M. (Eds.). (1987). Imagery and related Mnemonic processes . NewYork: Springer.

Katz, A. N. (1987). Individual differences in the control of imagery processing: Knowing how, knowing when, and knowing self. In M. A. McDaniel & M. Pressely (Eds.), Imagery and related mnemonic processes (pp. 177–203). New York: Springer.

Kosslyn, S. M. (1983). Ghost in the mind’s machine: Creating and using images in the brain . New York: Norton.

Parrott, C. A. (1986). Visual imagery training: stimulating utilization of imaginal processes. Journal of Mental Imagery, 10 (1), 47–63.

Pope, K. S., & Singer, J. L. (1978). The stream of consciousness . New York: Wiley.

Singer, J. L. (1975). Daydreaming and fantasy . London: Allen and Unwin.

Singer, J. L., & Antrobus, J. S. (1972). Daydreaming, imaginal processes, and personality: A normative study. In P. W. Sheehan (Ed.), The function and nature of imagery . San Diego: Academic.

Yates, L. G. (1986). Effect of visualization training on spatial ability test scores. Journal of Mental Imagery, 10 (1), 81–92.

Yuille, J. C. (1986). The futility of a pure experimental psychology of cognition: Imagery as a case study. In D. F. Marks (Ed.), Theories of image formation (pp. 197–223). New York: Brandon House.

Download references

Author information

Authors and affiliations.

Department of Psychology, Cognitive Psychology Laboratory Catholic University of the Sacred Heart, Largo Gemelli 1, 20123, Milan, Italy

Barbara Colombo

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Barbara Colombo .

Editor information

Editors and affiliations.

Faculty of Economics and Behavioral Sciences, Department of Education, University of Freiburg, 79085, Freiburg, Germany

Norbert M. Seel

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this entry

Cite this entry.

Colombo, B. (2012). Mental Imagery and Learning. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_68

Download citation

DOI : https://doi.org/10.1007/978-1-4419-1428-6_68

Publisher Name : Springer, Boston, MA

Print ISBN : 978-1-4419-1427-9

Online ISBN : 978-1-4419-1428-6

eBook Packages : Humanities, Social Sciences and Law

Share this entry

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Publish with us

Policies and ethics

  • Find a journal
  • Track your research

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Front Psychol

Editorial: Creativity and Mental Imagery

Massimiliano palmiero.

1 Neuropsychology Unit, Fondazione Santa Lucia, I.R.C.C.S, Rome, Italy

2 Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy

Laura Piccardi

Raffaella nori.

3 Department of Psychology, University of Bologna, Bologna, Italy

Liana Palermo

4 Department of Medical and Surgical Sciences, Magna Græcia University of Catanzaro, Catanzaro, Italy

Carola Salvi

5 Department of Psychology, Northwestern University, Evaston, IL, USA

6 Rehabilitation Institute of Chicago, Chicago, IL, USA

Cecilia Guariglia

7 Department of Psychology, Sapienza University of Rome, Rome, Italy

Considering the pivotal role that creative ideas play in human societies, and creativity's contribution to multiple aspects of human life, understanding the cognitive components underlying creativity has become increasingly fundamental. Since the Five-Stages Model of the creative process proposed by Wallas ( 1926 ), creativity has become associated with topics as wide-ranging as from problem-solving (Plucker et al., 2004 ) to art (van Leeuwen et al., 1999 ; Batt et al., 2010 ). Furthermore, creativity has been identified as a predictor for educational success and wellbeing (Plucker et al., 2004 ), and has been proposed as a way to improve the quality of life in healthy and pathological aging (Cohen, 2006 ; Palmiero et al., 2012 , 2014 , 2016a , b ; Palmiero, 2015 ).

In the present Frontiers in Cognition Research Topic 11 novel publications were collected: 8 Original Research Articles, 1 Review, and 2 Perspective Articles. From the beginning, the Research Topic was planned as a collection of studies exploring the relationships between creativity and mental imagery. Mental imagery is a representational medium for providing researchers access to thoughts, symbolization, and combination of elements, possibly facilitating the emergence of new ideas and creativity. In this direction, different aspects of mental imagery were considered which could increase or explain the emergence of creativity: daydreaming styles (common forms of imagination that involve spontaneous thoughts unrelated to the context, Zedelius and Schooler ); imagination of activities over a long period of time, relevant especially for actual creative achievements in science and writing ( Jung et al. ); as well as ‘looking at nothing’ and blinking behaviors, that do not necessarily involve visual imagery ( Salvi and Bowden ). In addition, we explored the relationships between different creative objects' production and artistic drawings with different mental imaging processes (i.e., generation, inspection and transformation, Palmiero et al. ).

We also collected studies that investigated distinct and peculiar aspects of creativity and its cognitive components, such as: the equal-odds rule of divergent thinking, also known as the relationships between fluency (the number of responses) and creativity as assessed by independent judges ( Jung et al. ); or the relationships between flexibility of divergent thinking (the number of categories encompassing the relevant responses) and attentive processing ( Zmigrod et al. ). Interestingly, the relationships between convergent thinking involving insight and intelligence ( Zmigrod et al. ), and working memory updating (that is maintenance of items in working memory and binding of the incoming information, Necka et al. ). In addition, neural correlates of creativity were investigated. Chavez highlighted the key role of brain areas involved in motor imagery on highly creative individuals, whereas Boccia et al. showed that general creativity relies on multi-componential neural networks supporting executive functions, whereas domain-specific creativity (verbal, musical and visuo-spatial) roughly depends on different functional specialized brain regions.

Finally, two different tests recently developed have been reported: the Test of Creative Imagery Abilities ( Jankowska and Karwowski ), aimed at assessing three components of creative imagination: vividness of imagery, originality of responses, and transformative imagery ability; and the Artistic Creativity Domains Compendium ( Lunke and Meier ), aimed at measuring artistic creativity in visual arts, performing arts, literature and music.

Taken together, the articles included in this Research Topic bring up novel perspectives for better understanding creativity as a cognitive process and its relation with mental imagery. Despite, the role of mental imagery in creativity has been robustly supported, several issues remains to be addressed to clarify the extent to which different forms, abilities and strategies of imagery affect creative idea generation, for example, the subcomponents of the relationships between imagery and creativity in specific domains of knowledge. Apart from imagery, the Research Topic also highlights the key role of attention in creativity, opening up the question of how attention might increase creativity in different ways. Finally, the neural bases of creativity need to be further investigated since there is no agreement about the brain areas specialized for creativity.

In conclusion, the variety of approaches and methods to measure creativity and its components makes difficult to draw clear conclusion about this topic. In future studies, comparing special groups of subjects in normal and pathological conditions (e.g., artists, designers, mathematicians, patients with dementia, brain-damaged patients and so forth) might help to better understand the cognitive and neural correlates of creativity and the relationships among creativity and other cognitive domains, such as mental imagery, attention, and problem solving. We hope that the papers included in this Research Topic can help to stimulate more studies on these topics and in increasing research in the field of creativity.

Author contributions

MP: Planned the topic and edited the most of papers included in the topic. LaP: Edited some papers included in the topic. RN: Edited some papers included in the topic. LiP: Edited some papers included in the topic. CS: Edited some papers included in the topic. CG: Edited some papers included in the topic.

This work was supported by NIH [grant number T32 NS047987] to CS.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

  • Batt R., Palmiero M., Nakatani C., van Leeuwen C. (2010). Style and spectral power: processing of abstract and representational art in artists and non-artists . Perception 39 , 1659–1671. 10.1068/p674 [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Cohen G. (2006). Research on creativity and aging: The positive impaict of the arts on health and illness . Generations 30 , 7–15. [ Google Scholar ]
  • Palmiero M. (2015). The effects of age on divergent thinking and creative objects production: a cross-sectional study . High Abil. Stud. 26 , 93–104. 10.1080/13598139.2015.1029117 [ CrossRef ] [ Google Scholar ]
  • Palmiero M., Di Giacomo D., Passafiume D. (2012). Creativity and dementia: a review . Cogn. Process. 13 , 193–209. 10.1007/s10339-012-0439-y [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Palmiero M., Di Giacomo D., Passafiume D. (2014). Divergent thinking and age-related changes . Creat. Res. J. 26 , 456–460. 10.1080/10400419.2014.961786 [ CrossRef ] [ Google Scholar ]
  • Palmiero M., Di Giacomo D., Passafiume D. (2016a). Can creativity predict cognitive reserve? J. Creat. Behav. 50 , 7–23. 10.1002/jocb.62 [ CrossRef ] [ Google Scholar ]
  • Palmiero M., Nori R., Piccardi L. (2016b). The relationship between visual creativity and visual mental imagery in aging , in Psychology of Creativity: Cognitive, Emotional and Social Processes , eds Moneta G. B., Rogaten J. (New York, NY: Nova Science Publishers, Inc.), 69–81. [ Google Scholar ]
  • Plucker J. A., Beghetto R. A., Dow G. T. (2004). Why isn't creativity more important to educational psychologists? Potentials, pitfalls, and future directions in creativity research . Educ. Psychol. 39 , 83–96. 10.1207/s15326985ep3902_1 [ CrossRef ] [ Google Scholar ]
  • van Leeuwen C., Verstijnen I. M., Hekkert P. (1999). Common unconscious dynamics underlie uncommon conscious effect: a case study in the iterative nature of perception and creation , in Modeling Consciousness Across the Disciplines , ed Jordan J. S.(Lanham, MD: University Press of America; ), 179–218. [ Google Scholar ]
  • Wallas G. (1926). The Art of Thought . London: G.J. Cape. [ Google Scholar ]

April 16, 2024

Walks in Green Parks Mean Stronger Immune Systems and Better Mental Health

Contact with nature improves physical and mental health, but greenery is not easily reached by all

By Lydia Denworth

Illustration of a young boy laying on a blanket outside in a park

Like so many people, I took refuge in the outdoors during the worst of the COVID pandemic, going on socially distanced walks and sitting on the deck in all kinds of weather. Being outside reduced the chance of infection, but it also helped in other ways. “I think everybody got that nature seemed to be the solution for a lot of the stress issues that people were dealing with,” says Jay Maddock, an experimental psychologist and director of the Center for Health & Nature at Texas A&M University. Scientists got it, too. Research into the health benefits of nature has “exploded” since then, Maddock says.

More time in the green is associated with lower blood pressure, strengthened immune systems, lower risk of cardiovascular disease and improved sleep. A recent study found it might slow the shortening of the telomeres that cap our chromosomes, a sign of biological aging. And there is convincing evidence that time in nature reduces depressive symptoms, alleviates stress and improves cognitive function.

A 2019 study of more than 19,000 people in the U.K. found that those who reported spending at least 120 minutes in nature (such as parks, woodlands or beaches) every week had better health or higher well-being than those who spent less time. It didn’t matter whether people reached the total time in many small increments or one long block. Researchers are also investigating beneficial health effects of “blue space” (water) and “brown space” (deserts).

On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing . By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.

The research is also highlighting health inequality created by disparities in access to green space—something else the pandemic shone a spotlight on. Jennifer D. Roberts, a health equity scholar at the University of Maryland, says the lowest-income communities are “less likely to have trees; they’re less likely to have parks of ample acreage and high quality.” According to one recent study, neighborhoods that were once redlined (a now outlawed practice that deemed certain areas “hazardous” for investment) have less green space today than areas with similar demographics that were not redlined.

Access to parks and other greenery is linked to health disparities that can’t be explained by factors such as race, ethnicity and socioeconomic status alone, says epidemiologist Marcia P. Jimenez of the Boston University School of Public Health. “There are higher-level determinants of health, which are our access to food, our exposure to air pollution, noise, green space and the socioeconomic status of our neighborhood.” More access to green space tends to give a bigger relative health boost to disadvantaged groups than to more privileged ones, research is starting to show. “If we were to increase greenness among these vulnerable populations, we could essentially tackle health inequalities. This is where to begin,” Jimenez says.

To get a more precise measure of local greenery for some studies, scientists use Google Street View data and something called the normalized difference vegetation index, which uses satellite imagery to quantify plant density and health in an area of land. A company called Nature-Quant based in Bend, Ore., recently used machine learning to develop NatureScore, which combines multiple datasets on parks, tree canopies, and air, noise and light pollution to develop a score between 0 and 100 as a proxy for greenness for every address in the U.S. (a heavily urban environment would generally score below 30 and a forest above 70).

In a 2024 study, Maddock and his colleagues were the first to use NatureScore to analyze health outcomes, specifically for mental health. They looked at outpatient mental health service utilization, mostly for depression, anxiety or stress, across 1,169 zip codes in Texas. After adjusting for demographic and socioeconomic factors, they found that rates of mental health service use were about 50 percent lower in neighborhoods with NatureScores higher than 60. In 2022 Jimenez and her colleagues published a paper in JAMA Open Network using data from the long-running Nurses’ Health Study II to show that living in areas with more green space was associated with higher scores for overall cognition and for psychomotor speed and attention. This difference could be partly explained by fewer depressive symptoms.

There are several possible explanations for these findings. One theory holds that nature provides a respite from the mental fatigue of modern life and the built environment, thereby restoring attentional resources. A 2024 experiment that had nearly 100 participants offers support for the idea: the researchers found that a 40-minute walk in nature enhanced people’s ability to coordinate higher-level cognitive functions—such as problem-solving and multitasking—more than a 40-minute walk in an urban environment did.

A second theory suggests that time spent in nature activates the parasympathetic nervous system, which reduces the body’s stress responses. Studies show reductions in cortisol levels—part of those responses—after exposure to greenery. In addition, green space affects health indirectly because time outdoors encourages physical activity and offers chances for social connection, both of which improve mental and physical well-being.

Studies such as Jimenez’s and Maddock’s are aimed at policymakers more than individuals, but they remind us all of the importance of seeking out greenery wherever we live. I recently downloaded the NatureDose app, another Nature-Quant product, which allows me to track time outside the way I count steps. And we should all try to heed the advice that Jimenez gives to her students: “I see how stressed they are, especially during exams,” she says. “I tell them, ‘Go out for a walk.’”

This is an opinion and analysis article, and the views expressed by the author or authors are not necessarily those of Scientific American .

IMAGES

  1. Problem-Solving Steps

    mental imagery in problem solving

  2. 8 Steps For Effective Problem Solving

    mental imagery in problem solving

  3. Problem solving infographic 10 steps concept Vector Image

    mental imagery in problem solving

  4. Mechanical Problem Solving

    mental imagery in problem solving

  5. Basic 8D Problem Solving Tools & Methods

    mental imagery in problem solving

  6. Problem-Solving Process in 6 Steps

    mental imagery in problem solving

VIDEO

  1. Mental imagery to visualize #josesilva #visualization

  2. The power of visualization for mental health

  3. Problem Solving

  4. Visualize Your Success

  5. TNTET EXAM-PSYCHOLOGY-Unit-3- COGNITIVE DEVELOPMENT- explanation in Tamil @AcademyforGovtexams

  6. cognitive thinking? #thinking # problem solving # decision making #psychology # ugcnet #notes #2023

COMMENTS

  1. Mental Imagery and Problem Solving

    The question of the functional role of imagery in problem solving is examined. A theory is presented which rests on the premise that translating a problem from a prepositional to an analog format gives access to a set of simpler cognitive processes of a perceptual kind. Within this theoretical framework an inverse relation between the utility ...

  2. The human imagination: the cognitive neuroscience of visual mental imagery

    Mental imagery can be advantageous, unnecessary and even clinically disruptive. ... Gilmore, A. W. & Schacter, D. L. Solving future problems: default network and executive activity associated with ...

  3. Mental Imagery: Learning, Problem-Solving And Performance

    Mental imagery is critical for problem-solving and performing better in situations that require physical or mental exercise. Mental images are a simplified representation of the cognitive task's content. The anticipatory role of reasoning is critical in problem-solving, where the goal is to arrive at a solution from a given starting point.

  4. PDF Mental Imagery in Problem Solving: An Eye Tracking Study

    problem solving. 4 Mental Imagery and Animation Mental imagery is the phenomenon in which someone imagines an object or a visual scene in his or her "mind's eye" in order to retrieve information from that mental image or to transform it so as to generate needed information [Shepard and Cooper 1986].

  5. Assessing mental imagery in clinical psychology: A review of imagery

    The active manipulation and transformation of mental images occurs during many different aspects of everyday problem-solving and creative thinking (Pearson, 2007; Pearson et al., 2001). One of the most extensively researched types of image transformation is that of mental rotation, a paradigm first established by Shepard and Metzler (1971).

  6. Mental Imagery: Functional Mechanisms and Clinical Applications

    Mental imagery has played a central role in discussions of mental function for thousands of years. Many have argued that it is one of the primary human mental events that allow us to remember, plan for the future, navigate, and make decisions. In addition, mental imagery plays a core role in many mental health disorders and plays an ...

  7. Mental imagery in problem solving: an eye tracking study

    We eye-tracked 90 subjects solving two causal reasoning problems, one in which a diagram of the problem appeared on the stimulus display, and a second related problem that was posed on a blank display. Results indicated that 42% of the subjects employed mental imagery and visually scanned the display in a correspondingly systematic fashion.

  8. PDF The human imagination: the cognitive neuroscience of visual mental imagery

    The use of imagery as a tool has been linked to many compound cognitive processes and imagery plays both symptomatic and mechanistic roles in neurological and mental disorders and treatments ...

  9. Mental Imagery: Functional Mechanisms and Clinical Applications

    Mental imagery research has weathered both disbelief of the phenomenon and inherent methodological limitations. Here we review recent behavioral, brain imaging, and clinical research that has reshaped our understanding of mental imagery. Research supports the claim that visual mental imagery is a depictive internal representation that functions like a weak form of perception. Brain imaging ...

  10. Chapter 15 Why does mental visualization facilitate problem-solving

    The pictorial theory of mental imagery was a central concern of cognitive science during the latter years of the last century. ... (cf. Kosslyn 1980, Shepard & Cooper 1982), and studies on the relationship between imagery and creative problem-solving, suggesting that visualization facilitates innovative solutions (Suler & Riziello 1987 ...

  11. Mental Imagery and Problem Solving

    The question of the functional role of imagery in problem solving and the theory presented which rests on the premise that translating a problem from a prepositional to an analog format gives access to a set of simpler cognitive processes of a perceptual kind are examined. The question of the functional role of imagery in problem solving is examined.

  12. Insights into embodied cognition and mental imagery from ...

    Mental imagery is thought to be involved in many psychological processes including future thinking, predictive processing and autobiographical memory 1. Although mental imagery is a commonplace ...

  13. Mental imagery in problem solving: an eye tracking study

    Research related to problem solving that involves mental imagery is reviewed, an experiment that looked for evidence and effects of an imagery strategy in problem solving suggests that information displays that respond to a user's visual attention trajectory, a kind of Attentive User Interface, are more likely to benefit this class of users. Cognitive models and empirical studies of problem ...

  14. Mental Imagery

    Mental imagery (henceforth "imagery") is implicated across psychological disorders from intrusive memories of past trauma for example in posttraumatic stress disorder, PTSD ... problem-solving, thinking, as well as self-instruction and self-evaluation (Packard, 1977). In CBAT the therapist is active and directive.

  15. The how, what, and why of mental imagery

    The how, what, and why of mental imagery. Published online by Cambridge University Press: 19 May 2011. Stephen M. Kossyln , Steven Pinker , George E. Smith and. Steven P. Shwartz. Stephen M. Kossyln. Affiliation: Department of Psychology and Social Relations, Harvard University, Cambridge MA 02138.

  16. Mental-Imagery-Based Mnemonic Training: A New Kind of Cognitive

    Gf is highly predictive of academic and professional outcomes, including attention control, memory, problem solving, and reading (Jaeggi et al., 2008). ... Mental-imagery-based mnemonic training is a generalized program designed to enhance WM and long-term memory (LTM) performance and improve yield transfer and Gf, using verbal and non-verbal ...

  17. The Use of Mental Imagery in the Problem Solving Process

    Conventional experimental research in mental imagery and visualization presents conflicting findings. Naturalistic inquiry offers an alternative approach for the study of mental imagery and problem solving. Paulo Freire, for example, used a naturalistic approach that emphasized active involvement in learning. Imagery can play an important role in learning and can be applied directly in the ...

  18. A Mental Gymnasium for Problem-Solving Excellence

    At the heart of chess lies visual imagery. Picture yourself studying the board, each piece a symbol of potential. ... This echoes the unpredictable and ever-changing nature of real-world problem-solving, where mental agility is paramount. The cognitive benefits of chess extend far beyond its 64 squares. Research like that of Gobet and Simon ...

  19. Mental Imagery in Creative Problem Solving., 1996

    In order to investigate the relationship between mental imagery and creative problem solving, a study of 44 separate accounts reporting mental imagery experiences associated with creative discoveries were examined. The data included 29 different scientists, among them Albert Einstein and Stephen Hawking, and 9 artists, musicians, and writers, including Leonardo da Vinci and Richard Wagner.

  20. Mental Imagery and Learning

    Moreover, the mental visualization plays specific roles in the processes of thought such as direct memory, problem solving, decision-making task, and motor control (Denis 1991). All these specific features of visual thinking make it a particularly suitable candidate to support learning (both cognitive and motor), and have thus led to the ...

  21. Editorial: Creativity and Mental Imagery

    Mental imagery is a representational medium for providing researchers access to thoughts, symbolization, and combination of elements, possibly facilitating the emergence of new ideas and creativity. In this direction, different aspects of mental imagery were considered which could increase or explain the emergence of creativity: daydreaming ...

  22. Walks in Green Parks Mean Stronger Immune Systems and Better Mental

    A 2024 experiment that had nearly 100 participants offers support for the idea: the researchers found that a 40-minute walk in nature enhanced people's ability to coordinate higher-level ...