Visual imagination can influence visual perception - towards an experimental paradigm to measure imagination.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
18 Oct 2024
18 Oct 2024
Historique:
received:
23
05
2024
accepted:
27
09
2024
medline:
19
10
2024
pubmed:
19
10
2024
entrez:
18
10
2024
Statut:
epublish
Résumé
During visual imagination, a perceptual representation is activated in the absence of sensory input. This is sometimes described as seeing with the mind's eye. A number of physiological studies indicate that the brain uses more or less the same neural resources for visual perception of sensory information and visual imagination. The intensity of visual imagination is typically assessed with questionnaires, while more objective measures are missing. Aim of the present study was, to test a new experimental paradigm that may allow to objectively quantify imagination. For this, we used priming and adaptation effects during observation of ambiguous figures. Our perception of an ambiguous stimulus is unstable and alternates spontaneously between two possible interpretations. If we first observe an unambiguous stimulus variant (the conditioning stimulus), the subsequently presented ambiguous stimulus can either be perceived in the same way as the test stimulus (priming effect) or in the opposite way (adaptation effect) as a function of the conditioning time. We tested for these conditioning effects (priming and adaptation) using an ambiguous Necker Cube and an ambiguous Letter /Number stimulus as test stimuli and unambiguous variants thereof as conditioning stimuli. In a second experimental condition, we tested whether the previous imagination of an unambiguous conditioning stimulus variant - instead of its observation - can have similar conditioning effects on the subsequent test stimulus. We found no systematic conditioning effect on the group level, neither for the two stimulus types (Necker Cube stimuli and Letter /Number stimuli) nor for the two conditions (Real and Imaginary). However, significant correlations between effects of Real and Imaginary Condition were observed for both stimulus types. The absence of conditioning effects at the group level may be explained by using only one conditioning time, which may fit with individual priming and adaptation constants of some of our participants but not of others. Our strong correlation results indicate that observers with clear conditioning effects have about the same type (priming or adaptation) and intensity of imaginary conditioning effects. As a consequence, not only past perceptual experiences but also past imaginations can influence our current percepts. This is further confirmation that the mechanisms underlying perception and imagination are similar. Our post-hoc qualitative observations from three self-defined aphantasic observers indicate that our paradigm may be a promising objective measure to identify aphantasia.
Identifiants
pubmed: 39424908
doi: 10.1038/s41598-024-74693-x
pii: 10.1038/s41598-024-74693-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
24486Informations de copyright
© 2024. The Author(s).
Références
Ishai, A. & Sagi, D. Common mechanisms of visual imagery and perception. Science. 268, 1772–1774 (1995).
pubmed: 7792605
doi: 10.1126/science.7792605
Chen, R. et al. Intracortical Inhibition and Facilitation in different representations of the Human Motor Cortex. J. Neurophysiol. 80, 2870–2881 (1998).
pubmed: 9862891
doi: 10.1152/jn.1998.80.6.2870
Kreiman, G., Koch, C. & Fried, I. Imagery neurons in the human brain. Nature. 408, 357–361 (2000).
pubmed: 11099042
doi: 10.1038/35042575
O’Craven, K. M. & Kanwisher, N. Mental Imagery of faces and places activates corresponding stimulus-specific brain regions. J. Cogn. Neurosci. 12, 1013–1023 (2000).
pubmed: 11177421
doi: 10.1162/08989290051137549
Zatorre, R. J. & Halpern, A. R. Mental concerts: musical imagery and auditory cortex. Neuron. 47, 9–12 (2005).
pubmed: 15996544
doi: 10.1016/j.neuron.2005.06.013
Kosslyn, S. M., Thompson, W. L., Klm, I. J. & Alpert, N. M. Topographical representations of mental images in primary visual cortex. Nature. 378, 496–498 (1995).
pubmed: 7477406
doi: 10.1038/378496a0
Slotnick, S. D., Thompson, W. L. & Kosslyn, S. M. Visual Mental Imagery induces Retinotopically Organized activation of early visual areas. Cereb. Cortex. 15, 1570–1583 (2005).
pubmed: 15689519
doi: 10.1093/cercor/bhi035
Harrison, S. A. & Tong, F. Decoding reveals the contents of visual working memory in early visual areas. Nature. 458, 632–635 (2009).
pubmed: 19225460
pmcid: 2709809
doi: 10.1038/nature07832
Serences, J. T., Ester, E. F., Vogel, E. K. & Awh, E. Stimulus-specific Delay activity in human primary visual cortex. Psychol. Sci. 20, 207–214 (2009).
pubmed: 19170936
doi: 10.1111/j.1467-9280.2009.02276.x
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).
pubmed: 19193903
pmcid: 6666065
doi: 10.1523/JNEUROSCI.4657-08.2009
Dijkstra, N., Bosch, S. E. & Van Gerven, M. A. J. Shared neural mechanisms of visual perception and imagery. Trends Cogn. Sci. 23, 423–434 (2019).
pubmed: 30876729
doi: 10.1016/j.tics.2019.02.004
Pearson, J. The human imagination: the cognitive neuroscience of visual mental imagery. Nat. Rev. Neurosci. 20, 624–634 (2019).
pubmed: 31384033
doi: 10.1038/s41583-019-0202-9
Wilson, M. et al. Spontaneous necker-cube reversals may not be that spontaneous. Front. Hum. Neurosci. 17, 1179081 (2023).
pubmed: 37323933
pmcid: 10268006
doi: 10.3389/fnhum.2023.1179081
Kornmeier, J., Hein, C. M. & Bach, M. Multistable perception: when bottom-up and top-down coincide. Brain Cognition. 69, 138–147 (2009).
pubmed: 18682314
doi: 10.1016/j.bandc.2008.06.005
Zeman, A., Dewar, M. & Della Sala, S. Lives without imagery – congenital aphantasia. Cortex. 73, 378–380 (2015).
pubmed: 26115582
doi: 10.1016/j.cortex.2015.05.019
Zeman, A. Aphantasia and hyperphantasia: exploring imagery vividness extremes. Trends Cogn. Sci. 28, 467–480 (2024).
pubmed: 38548492
doi: 10.1016/j.tics.2024.02.007
Milton, F. et al. Behavioral and neural signatures of visual imagery vividness extremes: Aphantasia versus Hyperphantasia. Cereb. Cortex Commun. 2, tgab035 (2021).
pubmed: 34296179
pmcid: 8186241
doi: 10.1093/texcom/tgab035
Zeman, A. et al. Phantasia–the psychological significance of lifelong visual imagery vividness extremes. Cortex. 130, 426–440 (2020).
pubmed: 32446532
doi: 10.1016/j.cortex.2020.04.003
Haber, R. N. Twenty years of haunting eidetic imagery: where’s the ghost? Behav. Brain Sci. 2, 583–594 (1979).
doi: 10.1017/S0140525X00064542
Marks, D. Eidetic imagery: Haber’s ghost and Hatakeyama’s ghoul. Behav. Brain Sci. 2, 610–612 (1979).
doi: 10.1017/S0140525X00064736
Marks, D. F. Visual imagery differences in the recall of pictures. Br. J. Psychol. 64, 17–24 (1973).
pubmed: 4742442
doi: 10.1111/j.2044-8295.1973.tb01322.x
Kornmeier, J. & Mayer, G. The alien in the forest OR when temporal context dominates perception. Perception. 43, 1270–1274 (2014).
pubmed: 25638942
doi: 10.1068/p7844
von Helmholtz, H. L. F Handbuch Der Physiologischen Optik doi: https://doi.org/10.3931/e-rara-21259 . (1867).
doi: 10.3931/e-rara-21259
Gregory, R. L. The Intelligent Eye (McGraw-Hill, 1970).
Necker, L. A. Observations on some remarkable optical phaenomena seen in Switzerland; and on an optical phaenomenon which occurs on viewing a figure of a crystal or geometrical solid. Philos. Magazine J. Sci. 1, 329–337 (1832).
Blake, R. & Logothetis, N. K. Visual competition. Nat. Rev. Neurosci. 3, 13–21 (2002).
pubmed: 11823801
doi: 10.1038/nrn701
Long, G. M. & Toppino, T. C. Enduring interest in perceptual ambiguity: alternating views of reversible figures. Psychol. Bull. 130, 748–768 (2004).
pubmed: 15367079
doi: 10.1037/0033-2909.130.5.748
Kornmeier, J. & Bach, M. Ambiguous figures – what happens in the brain when perception changes but not the stimulus. Front. Hum. Neurosci. 6, 1–23 (2012).
doi: 10.3389/fnhum.2012.00051
Brascamp, J., Sterzer, P., Blake, R. & Knapen, T. Multistable Perception and the role of the Frontoparietal Cortex in Perceptual Inference. Annu. Rev. Psychol. 69, 77–103 (2018).
pubmed: 28854000
doi: 10.1146/annurev-psych-010417-085944
Devia, C., Concha-Miranda, M. & Rodríguez, E. Bi-stable perception: self-coordinating brain regions to Make-Up the mind. Front. Neurosci. 15, 805690 (2022).
pubmed: 35153663
pmcid: 8829010
doi: 10.3389/fnins.2021.805690
Toppino, T. C. & Long, G. M. Time for a change: what dominance durations reveal about adaptation effects in the perception of a bi-stable reversible figure. Atten. Percept. Psychophys. 77, 867–882 (2015).
pubmed: 25522830
doi: 10.3758/s13414-014-0809-x
Long, G. M., Toppino, T. C. & Mondin, G. W. Prime time: fatigue and set effects in the perception of reversible figures. Percept. Psychophys. 52, 609–616 (1992).
pubmed: 1287566
doi: 10.3758/BF03211697
Toppino, T. C. & Long, G. M. Selective adaptation with reversible figures: don’t change that channel. Percept. Psychophys. 42, 37–48 (1987).
pubmed: 3658636
doi: 10.3758/BF03211512
Bruner, J. S. & Minturn, A. L. Perceptual identification and Perceptual Organization. J. Gen. Psychol. 53, 21–28 (1955).
doi: 10.1080/00221309.1955.9710133
Biderman, D., Shir, Y. & Mudrik, L. B or 13? Unconscious top-down Contextual effects at the categorical but not the Lexical Level. Psychol. Sci. 31, 663–677 (2020).
pubmed: 32384011
doi: 10.1177/0956797620915887
Pastukhov, A. & Braun, J. Structure-from-motion: dissociating perception, neural persistence, and sensory memory of illusory depth and illusory rotation. Atten. Percept. Psychophys. 75, 322–340 (2013).
pubmed: 23150214
doi: 10.3758/s13414-012-0390-0
Pastukhov, A. & Klanke, J. N. Exogenously triggered perceptual switches in multistable structure-from-motion occur in the absence of visual awareness. J. Vis. 16, 14 (2016).
pubmed: 26873778
doi: 10.1167/16.3.14
Liaci, E. et al. Positive and negative Hysteresis effects for the perception of geometric and emotional ambiguities. PLoS ONE 13, (2018).
van Rooij, M., Atmanspacher, H. & Kornmeier, J. Hysteresis in Processing of Perceptual Ambiguity on Three Different Time Scales. in Proceedings of the 38th Annual Conference of the Cognitive Science Society (eds. Papafragou, A., Grodner, D., Mirman, D. & Trueswell, J.) 568–573Boston, USA, (2016).
Heinrich, S. P. & Bach, M. Adaptation characteristics of steady-state motion visual evoked potentials. Clin. Neurophysiol. 114, 1359–1366 (2003).
pubmed: 12842735
doi: 10.1016/S1388-2457(03)00088-9
Bach, M., Greenlee, M. W. & Bühler, B. Contrast adaptation can increase visually evoked potential amplitude. Clin. Vis. Sci. 3, 185–194 (1988).
Fischer, J. & Whitney, D. Serial dependence in visual perception. Nat. Neurosci. 17, 738–743 (2014).
pubmed: 24686785
pmcid: 4012025
doi: 10.1038/nn.3689
Cicchini, G. M., Mikellidou, K. & Burr, D. Serial dependencies act directly on perception. J. Vis. 17, 6–6 (2017).
pubmed: 29209696
doi: 10.1167/17.14.6
Chambers, C. et al. Prior context in audition informs binding and shapes simple features. Nat. Commun. 8, 1–11 (2017).
doi: 10.1038/ncomms15027
Horlitz, K. L. & O’Leary, A. Satiation or availability? Effects of attention, memory, and imagery on the perception of ambiguous figures. Percept. Psychophys. 53, 668–681 (1993).
pubmed: 8332433
doi: 10.3758/BF03211743
Keogh, R. & Pearson, J. The blind mind: no sensory visual imagery in aphantasia. Cortex. 105, 53–60 (2018).
pubmed: 29175093
doi: 10.1016/j.cortex.2017.10.012
Poom, L. & Matin, M. Priming and reversals of the perceived ambiguous orientation of a structure-from-motion shape and relation to personality traits. PLoS ONE. 17, e0273772 (2022).
pubmed: 36018885
pmcid: 9417019
doi: 10.1371/journal.pone.0273772
Poom, L. Divergent mechanisms of perceptual reversals in spinning and wobbling structure-from-motion stimuli. PLoS ONE. 19, e0297963 (2024).
pubmed: 38381707
pmcid: 10880970
doi: 10.1371/journal.pone.0297963
Bhatia, K. Ambiguity vs. Visibility: How the Perceptual System Responds to Uncertainty (University Freiburg, 2020).
Association, W. M. Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA (2000).
Hassberg, T. Aufmerksamkeits- und Adaptationseffekte bei instabiler Wahrnehmung. (2010). http://www.freidok.uni-freiburg.de/volltexte/7875/
Holm, S. A simple sequentially rejective multiple test procedure. Scand. J. Stat. 6, 65–70 (1979).
Carlson, V. R. Satiation in a reversible perspective figure. Jounal Experimental Psychol. 45, 442–448 (1953).
doi: 10.1037/h0054794
Virsu, V. Determination of perspective reversals. Nature. 257, 786–787 (1975).
pubmed: 1186857
doi: 10.1038/257786a0
Harris, J. P. How does adaptation to disparity affect the perception of reversible figures? Am. J. Psychol. 93, 445–457 (1980).
pubmed: 7212126
doi: 10.2307/1422723
Hochberg, J. E. Figure-ground reversal as a function of visual satiation. J. Exp. Psychol. 40, 682–686 (1950).
doi: 10.1037/h0060078
Cohen, L. Rate of apparent change of a Necker cube as a function of prior stimulation. Am. J. Psychol.72, 327–344 (1959).
doi: 10.2307/1420037
von Grünau, M. W., Wiggin, S. & Reed, M. The local character of perspective organization. Percept. Psychophys. 35, 319–324 (1984).
doi: 10.3758/BF03206335
Shulman, G. L. Attentional effects on Necker cube adaptation. Can. J. Experimental Psychol. / Revue canadienne de psychologie expérimentale. 47, 540–547 (1993).
doi: 10.1037/h0078852
Kanai, R. & Verstraten, F. A. J. Perceptual manifestations of fast neural plasticity: motion priming, rapid motion aftereffect and perceptual sensitization. Vision. Res. 45, 3109–3116 (2005).
pubmed: 16023173
doi: 10.1016/j.visres.2005.05.014
Chen, B. et al. Genomic analyses of visual cognition: Perceptual Rivalry and Top-Down Control. J. Neurosci. 38, 9668–9678 (2018).
pubmed: 30242048
pmcid: 6595983
doi: 10.1523/JNEUROSCI.1970-17.2018
Shannon, R. W., Patrick, C. J., Jiang, Y., Bernat, E. & He, S. Genes contribute to the switching dynamics of bistable perception. J. Vis. 11, 8–8 (2011).
pubmed: 21389101
doi: 10.1167/11.3.8
Wang, Y., Wang, L., Xu, Q., Liu, D. & Jiang, Y. Domain-specific genetic influence on visual-ambiguity resolution. Psychol. Sci. 25, 1600–1607 (2014).
pubmed: 24914030
doi: 10.1177/0956797614535811
Heinrich, T. S. & Bach, M. Contrast adaptation in human retina and cortex. Invest. Ophthalmol. Vis. Sci. 42, 2721–2727 (2001).
pubmed: 11581221
Hoffmann, M. B., Unsöld, A. S. & Bach, M. Directional tuning of human motion adaptation as reflected by the motion VEP. Vision. Res. 41, 2187–2194 (2001).
pubmed: 11448711
doi: 10.1016/S0042-6989(01)00112-2
Heinrich, S. P., Schilling, A. M. & Bach, M. Motion adaptation: net duration matters, not continuousness. Experimental Brain Res. Experimentelle Hirnforschung. 169, 461–466 (2006).
doi: 10.1007/s00221-005-0165-0
Staadt, R., Philipp, S. T., Cremers, J. L., Kornmeier, J. & Jancke, D. Perception of the difference between past and present stimulus: a rare orientation illusion may indicate incidental access to prediction error-like signals. PLoS ONE. 15, e0232349 (2020).
pubmed: 32365070
pmcid: 7197803
doi: 10.1371/journal.pone.0232349
Strobach, T. & Carbon, C. C. Face Adaptation effects: reviewing the impact of adapting information, Time, and transfer. Front. Psychol. 4, (2013).
Nieder, A. The adaptive value of Numerical competence. Trends Ecol. Evol. 35, 605–617 (2020).
pubmed: 32521244
doi: 10.1016/j.tree.2020.02.009
Kosslyn, S. M., Ganis, G. & Thompson, W. L. Neural foundations of imagery. Nat. Rev. Neurosci. 2, 635–642 (2001).
pubmed: 11533731
doi: 10.1038/35090055
Perky, C. W. An experimental study of imagination. Am. J. Psychol. 21, 422 (1910).
doi: 10.2307/1413350
McDermott, K. B. & Roediger, H. L. Effects of imagery on perceptual implicit memory tests. J. Experimental Psychology: Learn. Memory Cognition. 20, 1379–1390 (1994).
Pearson, J. & Brascamp, J. Sensory memory for ambiguous vision. Trends Cogn. Sci. 12, 334–341 (2008).
pubmed: 18684661
doi: 10.1016/j.tics.2008.05.006
Craver-Lemley, C. & Reeves, A. How visual imagery interferes with vision. Psychol. Rev. 99, 633–649 (1992).
pubmed: 1454902
doi: 10.1037/0033-295X.99.4.633
Tartaglia, E. M., Aberg, K. C. & Herzog, M. H. Perceptual learning and roving: stimulus types and overlapping neural populations. Vision. Res. 49, 1420–1427 (2009).
pubmed: 19258021
doi: 10.1016/j.visres.2009.02.013
Driskell, J. E., Copper, C. & Moran, A. Does mental practice enhance performance? J. Appl. Psychol. 79, 481–492 (1994).
doi: 10.1037/0021-9010.79.4.481
Weiss, D. S. & Keller, A. Specific patterns of intrinsic connections between representation zones in the Rat Motor Cortex. Cereb. Cortex. 4, 205–214 (1994).
pubmed: 8038569
doi: 10.1093/cercor/4.2.205
Gilden, D., Blake, R. & Hurst, G. Neural adaptation of imaginary visual motion. Cogn. Psychol. 28, 1–16 (1995).
pubmed: 7895467
doi: 10.1006/cogp.1995.1001
Brascamp, J. W., Knapen, T. H., Kanai, R., van Ee, R. & van den Berg A. V. Flash suppression and flash facilitation in binocular rivalry. J. Vis. 7, 12 1–12 (2007).
doi: 10.1167/7.12.12
O’Shea, R. P., Kornmeier, J. & Roeber, U. Predicting visual consciousness electrophysiologically from intermittent binocular rivalry. PLoS ONE. 8, e76134 (2013).
pubmed: 24124536
pmcid: 3790688
doi: 10.1371/journal.pone.0076134
Bachmann, T. & Aru, J. Conscious interpretation: a distinct aspect for the neural markers of the contents of consciousness. Conscious. Cogn. 108, 103471 (2023).
pubmed: 36736210
doi: 10.1016/j.concog.2023.103471
Meng, M. & Tong, F. Can attention selectively bias bistable perception? Differences between binocular rivalry and ambiguous figures. J. Vis. 4, 539–551 (2004).
pubmed: 15330700
doi: 10.1167/4.7.2
Kornmeier, J., Bhatia, K. & Joos, E. Top-down resolution of visual ambiguity – knowledge from the future or footprints from the past? PLoS ONE . 16, e0258667 (2021).
pubmed: 34673791
pmcid: 8530352
doi: 10.1371/journal.pone.0258667
Landolt, K. et al. Help-seeking in people with exceptional experiences: results from a General Population Sample. Front. Public. Health 2, (2014).
Atmanspacher, H. & Fach, W. Exceptional experiences of stable and unstable Mental States, Understood from a dual-aspect point of View. Philosophies. 4, 7 (2019).
doi: 10.3390/philosophies4010007