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PERSPECTIVE article

Front. Psychol., 05 April 2024
Sec. Perception Science

Deep Aphantasia: a visual brain with minimal influence from priors or inhibitory feedback?

Loren N. BouyerLoren N. BouyerDerek H. Arnold
Derek H. Arnold*
  • School of Psychology, The University of Queensland, Brisbane, QLD, Australia

The authors are both self-described congenital aphantasics, who feel they have never been able to have volitional imagined visual experiences during their waking lives. In addition, Loren has atypical experiences of a number of visual phenomena that involve an extrapolation or integration of visual information across space. In this perspective, we describe Loren’s atypical experiences of a number of visual phenomena, and we suggest these ensue because her visual experiences are not strongly shaped by inhibitory feedback or by prior expectations. We describe Loren as having Deep Aphantasia, and Derek as shallow, as for both a paucity of feedback might prevent the generation of imagined visual experiences, but for Loren this additionally seems to disrupt activity at a sufficiently early locus to cause atypical experiences of actual visual inputs. Our purpose in describing these subjective experiences is to alert others to the possibility of there being sub-classes of congenital aphantasia, one of which—Deep Aphantasia, would be characterized by atypical experiences of actual visual inputs.

Introduction

Most people can generate images that they experience in their mind’s eye. We authors cannot, and do not believe we have ever been able to. We can be described as Congenital Aphantasics (Zeman et al., 2015). We each obtain the minimum possible score on the VVIQ2 questionnaire (Marks, 1995), which measures the subjective intensity of imagined visual experiences. But there are large differences between our subjective imagined experiences. Derek can have detailed imagined audio experiences (hearing snippets of symphonies at will), and his dreamt audio and visual experiences seem fully realistic (like most Congenital Aphantasics, see Zeman et al., 2015; Dawes et al., 2020). Loren, however, reports that she cannot have imagined audio experiences, has no inner monolog, and she does not have audio or visual experiences while dreaming. Loren can experience imagined tastes and tactile sensations, Derek cannot.

From the outset, we want to be clear that this is a subjective perspective piece. Our descriptions should be regarded as anecdotal evidence. However, we think that personal reflective accounts, and case studies, continue to play an important role in psychological science—to inspire theory and to alert people to conceptual possibilities (for related examples and arguments, see Zeman et al., 2010; Cubelli and Della Sala, 2017; dos Santos et al., 2018). We hope to further that tradition here.

The diversity of Loren and Derek’s experiences adds to a growing body of evidence—that congenital aphantasia can manifest as diverse patterns of modality specific inability to have imagined experiences (e.g., Dawes et al., 2020; Takahashi et al., 2023). We believe these idiosyncratic patterns of modality specific inability will be an important target for investigations that seek to understand the neural pre-requisites for conscious awareness of imagined experiences. However, our primary concern here is to describe Loren’s atypical experiences of actual visual inputs.

Our immediate goal is to describe Loren’s experiences of some visual inputs, and to advance a hypothesis that we believe can account for these. Our broader goal is to alert others to the possibility of Deep Aphantasics, who in addition to being unable to have imagined sensory experiences will also have atypical experiences of actual sensory inputs. More specifically, we believe they will have atypical experiences of a number of visual phenomena that involve perception being shaped by expectations or by feedback.

Aphantasia and perception

We note that there is existing evidence that Aphantasics can have atypical experiences of sensory inputs. For instance, Dance et al. (2021a) showed that Aphantasics are less likely to report experiencing hyper (e.g., bright lights causing a headache) or hypo (e.g., taking pleasure from listening to paper rustling) sensitivity to actual sensory inputs, and they suggested this might be due to Aphantasics being overall less responsive to inputs. This aligns with evidence that Aphantasics are less likely to report having experienced a flicker induced pseudo-hallucination than are members of the general population (Reeder, 2022). Loren’s atypical experiences of visual phenomena, however, cannot be accounted for by a simple propensity to be under responsive to inputs (Dance et al., 2021a). Rather, we will suggest the overall pattern of Loren’s visual experiences suggests that they are minimally impacted by expectations or by feedback.

Loren’s perceptual experiences

Loren seems to have stereotypical experiences of visual phenomena that are likely to be driven by low-level processes. For instance, she experiences motion (Addams, 1834) and tilt (Gibson, 1937) aftereffects, which are both driven by visual adaptation (reduced neural responding after protracted exposure to an input, see Webster, 2015). Loren also experiences the tilt illusion (Gibson and Radner, 1937, see Figure 1A), which is driven by lateral inhibition between adjacent columns of orientation-tuned neurons (Blakemore et al., 1970). She also has stereotypical experiences of some simultaneous contrast illusions, such as the Poggendorff size/contrast illusion (Eagleman, 2001, see Figure 1B), and brightness contrast effects (e.g., Anderson and Winawer, 2005, see Figure 1C). Loren experiences variants of the peripheral drift illusion (e.g., Faubert and Herbert, 1999), which are driven by involuntary eye movements and brightness gradients combining to activate direction-selective cells (Bach and Atala-Gérard, 2020).

Figure 1
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Figure 1. Some visual phenomena that Loren experiences. She experiences (A) tilt aftereffects and their spatial analog, the tilt illusion, (B) she experiences simultaneous size contrast illusions, such as the Ponzo and Ebbinghaus illusions, and (C) she experiences brightness contrast effects. Here the two facial images are physically identical, but on the left the face looks relatively bright as it features the brightest regions of the image, and on the right it looks dark as it features the darkest regions of the image. While Loren’s experiences of all these effects are stereotypical, she also experiences visual snow (D). Loren is an accomplished artist, as demonstrated by her drawing (E), but she cannot draw from memory.

Loren does not, however, have typical subjective experiences of a number of visual phenomena that involve extrapolation or integration of visual information across space. Loren cannot discern 3D kaniza shapes (Van Tonder and Ohtani, 2008). To Loren, the 3D cone depicted in Figure 2A looks like a weirdly shaped triangle. Loren can experience the corridor size illusion (Gregory, 1966, see Figure 2B), but only after a delay during which the depicted figures seem matched in size (people typically instantly experience these as very different in size). Loren does not seem to experience neon color spreading—she cannot see an illusory floating blue square in Figure 2C. Loren does not experience variants of long-range apparent motion either. When offset disks are flashed on and off in counterphase (see Anstis et al., 1985), she tends to experience localized flashes—she does not experience a sense of movement in-between the flash positions—as is typical.

Figure 2
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Figure 2. Some visual phenomena that Loren does not experience stereotypically. She cannot discern 3D Kaniza shapes (A), she does not immediately experience the Corridor Size Illusion (B), she does not experience neon color spreading (C), she cannot see the vase in Rubin face/vase illusion (D), she cannot see a 3D cube in the line drawings of Neckers cube (E), she does not experience periods of dominance during binocular rivalry (F), and she does not experience face Pareidolia (G).

Loren does not have typical experiences of bi-stable visual phenomena. These typically promote intermittent switching between two mutually exclusive perceptual experiences. For instance, Rubin’s (1915) vase (see Figure 2D) is typically experienced as either a pair of faces, or as a vase. However, Loren typically only sees the faces (and not the vase). Nor can Loren discern Necker’s (1832) cube. To her this just resembles a jumble of 2D shapes (see Figure 2E), so she does not experience switching between seeing one of the cube’s faces as being positioned at the front or at the rear of a 3D object. As Loren does not experience long-range apparent motion, she does not experience bi-stable long-range apparent motion (with movement seeming to alternate between moving in orthogonal directions, see Knapen et al., 2011).

When looking at kinetic silhouette illusions (see Troje and McAdam, 2010), that cause most people to experience intermittent reversals in the perceived direction of rotation, Loren experiences an unchanging (clockwise) direction. Loren does not have typical experiences of binocular rivalry. Inputs that elicit binocular rivalry in most people, characterized by alternating periods where only one of two rivalrous monocular images can be seen at a time, are only ever experienced by Loren as a fusion of the two images (transparency) or as a patchwork of both images (piecemeal rivalry, see left side image within the head of Figure 2F; Blake and Logothetis, 2002). Loren does not experience periods of dominance (where only one of the two rivalrous images can be seen), even after protracted viewing.

Loren does not experience face pareidolia (Rekow et al., 2022). To her non-face objects look like non-face objects, even if they feature two horizontally separated dark regions and an underlying feature that most people could regard as a nose or mouth (see Figure 2G). Loren feels like she is probably boring to go cloud watching with, as to her clouds are… just clouds. She does not see whimsical impressions of form in them. Finally, Loren experiences broadband visual snow—constant dynamic black and white dots across her visual field (see Figure 1D), and she thinks these might be associated with slight headaches.

Loren is an accomplished artist. She can draw realistic portraits, but only if she can see the input (see Figure 1E). Like other Aphantasics (Bainbridge et al., 2021), Loren cannot draw from memory. Neither Loren nor Derek have a history of neurological trauma, or diagnosis of a cognitive disorder. Loren’s structural brain scan did not reveal any overt abnormalities.

Aphantasia and autism spectrum disorder

There are parallels between Loren’s visual experiences and those reported by people with Autism Spectrum Disorder (ASD, see Pellicano and Burr, 2012; Di Criscio and Troiani, 2017). However, even in that context some of Loren’s experiences stand out (we have not found any mention in that literature of an inability to see either the Necker cube or neon-color spreading) and others are more pronounced (e.g., her inability to experience bistable visual phenomena at all, as opposed to the slowed alternations that have been reported in ASD; see Di Criscio and Troiani, 2017).

We do not believe Loren meets criteria for a clinical diagnosis of ASD. Loren is socially communicative. She does not experience an impairment in reciprocal social communication and interaction that limits or impairs her everyday functioning—and these are essential features of ASD according to the Diagnostic and Statistical Manual of Mental Disorders (5th Edn., DSM-5-TR, American Psychiatric Association, 2013). With that said, we are mindful of criticisms regarding the identification of ASD in women and individuals with high IQs (Lai and Baron-Cohen, 2015; Rynkiewicz et al., 2016), and we are highly interested in evidence that Aphantasics express more autistic traits than do people in the general population (Dance et al., 2021b).

To some extent, links between Aphantasia and autistic traits are unsurprising, in that the most popular metric of Autistic traits in the general population, the AQ (Baron-Cohen et al., 2001), includes a subscale that measures the imagination (although one study that linked Aphantasia to AQ scores excluded a subscale question that is directly related to imagery, see Dance et al., 2021b). While Derek scores in the bottom 25% on the Autism Spectrum Quotient (AQ, Baron-Cohen et al., 2001), Loren’s score (37) is indicative of significant Autistic traits. However, we note that more recently developed metrics of Autistic traits (e.g., Ritvo et al., 2011; English et al., 2021) do not encompass an imagery subscale, and that more emphasis is now being placed on atypical sensory experiences. We believe further research on the interrelationship of ASD and Aphantasia is needed, and it should encompass multiple metrics of autistic traits. Indeed, we ourselves are engaged in that pursuit.

Our hypothesis—Deep Aphantasia

The pattern of Loren’s visual experiences suggests to us that her visual brain activity is weakly shaped by prior expectations or by inhibitory feedback from frontal or semantic brain regions. We suspect the former because Loren does not have typical experiences of a number of phenomena that would seem to involve visual perception being shaped by prior expectations and experience (e.g., long-range apparent motion, 3D kaniza shapes, neon color spreading, and face pareidolia). This hypothesis is related to the idea that abnormal visual experiences in ASD are minimally impacted by prior expectations (see Pellicano and Burr, 2012). We suspect that attention fails to entrain reiterative inhibitory feedback to and within Loren’s primary visual cortex, as visual snow has been linked to hyperexcitable primary visual cortices due to an absence of top-down noise canceling inhibition (Hepschke et al., 2022). Also, top-down attention hypothetically drives the inhibitory interactions that cause alternations during bistable visual perception (e.g., Zhang et al., 2011), and Loren does not seem to experience bi-stable visual phenomena.

It is thought that Aphantasia results when feedback originating from frontal brain regions fails to excite activity in earlier brain structures that generate imagined sensory experiences (Pearson, 2019; Bartolomeo et al., 2020). We tentatively describe Loren as having Deep Aphantasia, and Derek as shallow, because for Loren a paucity of feedback might disrupt activity at a sufficiently early locus to perturb her experiences of actual visual inputs. For Derek, only imagined sensory experiences seem to be impacted. He has typical experiences of all the visual phenomena depicted in Figure 2.

We suspect Loren’s lack of imagined sensory experiences, and her atypical experiences of actual visual inputs, are inter-related because they could both reflect on a paucity of feedback. A paucity of feedback has been linked to visual snow (Hepschke et al., 2022), to mitigated inhibitory interactions during bi-stable visual perception (Zhang et al., 2011), and it has been implicated as a cause of Aphantasia (Pearson, 2019; Bartolomeo et al., 2020). Of course, we could be wrong. Loren’s cluster of atypical imagined and actual perceptual experiences could be coincidental and unrelated to a common cause. In that case, we would not expect numbers of people to self-identify as having a similar clustering of experiences.

Advice for newly identified aphantasics

There has been some concern that identifying people as aphantasic could be stigmatizing (Blomkvist and Marks, 2023). Clearly, we authors are not personally concerned at this. While Loren is enthusiastic about the possibility of learning to have imagined visual experiences—to augment her artistic pursuits, Derek has existed with reasonable satisfaction for 50 years without visual imagery. He is consequently content with his existing cognitive profile. We encourage people who are newly identified as an Aphant to be similarly tranquil about their neurodiverse status.

There is evidence for cognitive differences between Aphants and neurotypical people. For instance, Aphants have less visually detailed long-term memories (e.g., Bainbridge et al., 2021; Dawes et al., 2022), and can be slower to make spatial judgments about imagined scenes (e.g., Liu and Bartolomeo, 2023). But while Aphants might be worse at some tasks, there is evidence we suffer less distress from reading fear evoking passages (Wicken et al., 2021)—which might relate to a greater resilience against adverse outcomes from intrusive thoughts (Brewin et al., 2010). So, you might be unable to conjure visual hallucinations at will, but that might not be such a bad thing.

Then why are we interested in Aphantasia?

In addition to Loren’s desire to discover if visual imagery can be learned, we are greatly interested in Aphantasia as it seems to present an exciting research opportunity. By comparing the morphology and activity of human brains that can, and cannot, conjure imagined sensory experiences at will, we hope to discover pre-requisites for conscious awareness of imagined sensory experiences. By developing better means of identifying aphantasics, we might also gain insight into people’s capacity to benefit from psychological interventions that involve imagery (e.g., Jones and Stuth, 1997; Odou and Vella-Brodrick, 2013). Finally, while we would argue that neither Loren nor Derek have an impairment of reciprocal social communication that limits or impairs our everyday functioning, we acknowledge that we might have genetic similarities with people who do—and we regard that as an additional motivation to study Aphantasia.

The VVIQ2

Given the prominence of the VVIQ2 (Marks, 1995) in contemporary research, we believe a brief comment on it is warranted. We join others (e.g., Blomkvist and Marks, 2023; Schwarzkopf, 2024) in arguing that the field needs a better means of identifying who is, and is not, aphantasic. The VVIQ2 is a subjective questionnaire, asking people to rate the vividness of their imagined visual experiences. Highlighting our concerns about the ambiguity of this instrument to aphantasics, when Loren first completed the VVIQ2 (Marks, 1995) her responses were stereotypical, as she was not then aware that other people could have imagined visual experiences. She misconstrued questions as relating to effort expended and success in remembering facts about visual experiences. Researchers have reported on other potentially diagnostic tasks (e.g., Chang and Pearson, 2017; Kay et al., 2022), but these have only ever been validated by correlation with the VVIQ2 (Marks, 1995). So, we have not really escaped reliance on identifying aphantasics via subjective report. We highlight this as a persistent issue that needs to be addressed.

Conclusion

We have sought to document Loren’s subjective experiences, as we are confident that if these are made known, other people will self-identify as having similar experiences. We are hopeful that this will create opportunities to develop objective tests to identify and separate Shallow from Deep Aphantasics.

Data availability statement

Information for existing publicly accessible datasets is contained within the article.

Ethics statement

Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

LB: Writing – review & editing. DA: Writing – original draft.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by an Australian Research Council Discovery Project Grant DP200102227 awarded to DA.

Acknowledgments

We would like to thank Liz Pellicano, Randolph Blake, Sam Schwarzkopf, Rebecca Keogh, Alan Johnston, and Paris Ranclaud for comments on draft versions of this manuscript.

Conflict of interest

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Addams, R. (1834). An account of a peculiar optical phenomenon seen after having looked at a moving body. London Edinburgh Philos. Magaz. J. Sci. 5, 373–374.

Google Scholar

American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Arlington VA: American Psychiatric Association

Google Scholar

Anderson, B., and Winawer, J. (2005). Image segmentation and lightness perception. Nature 434, 79–83. doi: 10.1038/nature03271

PubMed Abstract | Crossref Full Text | Google Scholar

Anstis, S., Giaschi, D., and Cogan, A. I. (1985). Adaptation to apparent motion. Vis. Res. 25, 1051–1062. doi: 10.1016/0042-6989(85)90093-8

PubMed Abstract | Crossref Full Text | Google Scholar

Bach, M., and Atala-Gérard, L. (2020). The rotating snakes illusion is a straightforward consequence of non-linearity in arrays of standard motion detectors. i-Perception 11, 204166952095802–204166952095809. doi: 10.1177/2041669520958025

Crossref Full Text | Google Scholar

Bainbridge, W. A., Pounder, Z., Eardley, A. F., and Baker, C. I. (2021). Quantifying aphantasia through drawing: those without visual imagery show deficits in object but not spatial memory. Cortex 135, 159–172. doi: 10.1016/j.cortex.2020.11.014

PubMed Abstract | Crossref Full Text | Google Scholar

Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., and Clubley, E. (2001). 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. doi: 10.1023/A:1005653411471

PubMed Abstract | Crossref Full Text | Google Scholar

Bartolomeo, P., Hajhajate, D., Liu, J., and Spagna, A. (2020). Assessing the causal role of early visual areas in visual mental imagery. Nat. Rev. Neurosci. 21:517. doi: 10.1038/s41583-020-0348-5

PubMed Abstract | Crossref Full Text | Google Scholar

Blake, R., and Logothetis, N. K. (2002). Visual competition. Nat. Rev. Neurosci. 3, 13–21. doi: 10.1038/nrn701

PubMed Abstract | Crossref Full Text | Google Scholar

Blakemore, C., Carpenter, R. H., and Georgeson, M. A. (1970). Lateral inhibition between orientation detectors in the human visual system. Nature 228, 37–39. doi: 10.1038/228037a0

PubMed Abstract | Crossref Full Text | Google Scholar

Blomkvist, A., and Marks, D. F. (2023). Defining and ‘diagnosing’ aphantasia: condition or individual difference? Cortex 169, 220–234. doi: 10.1016/j.cortex.2023.09.004

PubMed Abstract | Crossref Full Text | Google Scholar

Brewin, C. R., Gregory, J. D., Lipton, M., and Burgess, N. (2010). Intrusive images in psychological disorders: characteristics, neural mechanisms, and treatment implications. Psychol. Rev. 117, 210–232. doi: 10.1037/a0018113

PubMed Abstract | Crossref Full Text | Google Scholar

Chang, S., and Pearson, J. (2017). The functional effects of prior motion imagery and motion perception. Cortex 105, 83–96. doi: 10.1016/j.cortex.2017.08.036

Crossref Full Text | Google Scholar

Cubelli, R., and Della Sala, S. (2017). Looking back to go forward: promoting single case studies. Cortex 97, A1–A3. doi: 10.1016/j.cortex.2017.09.023

PubMed Abstract | Crossref Full Text | Google Scholar

Dance, C. J., Jaquiery, M., Eagleman, D. M., Porteous, D., Zeman, A., and Simner, J. (2021b). What is the relationship between aphantasia, synaesthesia and autism? Conscious. Cogn. 89:103087. doi: 10.1016/j.concog.2021.103087

PubMed Abstract | Crossref Full Text | Google Scholar

Dance, C. J., Ward, J., and Simner, J. (2021a). What is the link between mental imagery and sensory sensitivity? Insights from aphantasia. Perception 50, 757–782. doi: 10.1177/03010066211042186

PubMed Abstract | Crossref Full Text | Google Scholar

Dawes, A. J., Keogh, R., Andrillon, T., and Pearson, J. (2020). A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia. Sci. Rep. 10:10022. doi: 10.1038/s41598-020-65705-7

PubMed Abstract | Crossref Full Text | Google Scholar

Dawes, A. J., Keogh, R., Robuck, S., and Pearson, J. (2022). Memories with a blind mind: remembering the past and imagining the future with aphantasia. Cognition 227:105192. doi: 10.1016/j.cognition.2022.105192

PubMed Abstract | Crossref Full Text | Google Scholar

Di Criscio, S., and Troiani, J. (2017). Autism-like Traits are Associated With Enhanced Ability to Disembed Visual Forms. J Autism Dev Disord 47, 1568–1576. doi: 10.1007/s10803-017-3053-0

Crossref Full Text | Google Scholar

dos Santos, R. G., Enyart, S., Bouso, J. C., Pares, Ò., and Hallak, J. E. C. (2018). “Ayahuasca turned on my mind’s eye”: enhanced visual imagery after ayahuasca intake in a man with “blind imagination” (aphantasia). J. Psyched. Stud. 2, 74–77. doi: 10.1556/2054.2018.008

Crossref Full Text | Google Scholar

Eagleman, D. M. (2001). Visual illusions and neurobiology. Nat. Rev. Neurosci. 2, 920–926. doi: 10.1038/35104092

PubMed Abstract | Crossref Full Text | Google Scholar

English, M. C. W., Gignac, G. E., Visser, T. A. W., Whitehouse, A. J. O., Enns, J. T., and Maybery, M. T. (2021). The comprehensive autistic trait inventory (CATI): development and validation of a new measure of autistic traits in the general population. Mol. Autism. 12:37. doi: 10.1186/s13229-021-00445-7

PubMed Abstract | Crossref Full Text | Google Scholar

Faubert, J., and Herbert, A. M. (1999). The peripheral drift illusion: a motion illusion in the visual periphery. Perception 28, 617–622. doi: 10.1068/p2825

PubMed Abstract | Crossref Full Text | Google Scholar

Gibson, J. J. (1937). Adaptation, after-effect, and contrast in the perception of tilted lines. II. Simultaneous contrast and the areal restriction of the after-effect. J. Exp. Psychol. 20, 553–569. doi: 10.1037/h0057585

Crossref Full Text | Google Scholar

Gibson, J. J., and Radner, M. (1937). Adaptation, after-effect and contrast in the perception of tilted lines. I. Quantitative studies. J. Exp. Psychol. 20, 453–467. doi: 10.1037/h0059826

Crossref Full Text | Google Scholar

Gregory, R L (1966). Eye and Brain: The Psychology of Seeing. New York: McGraw·Hill

Google Scholar

Hepschke, J. L., Seymour, R. A., He, W., Etchell, A., Sowman, P. F., and Fraser, C. L. (2022). Cortical oscillatory dysrhythmias in visual snow syndrome: a magnetoencephalography study. Brain. Communication 4:fcab296. doi: 10.1093/braincomms/fcab296

PubMed Abstract | Crossref Full Text | Google Scholar

Jones, L., and Stuth, G. (1997). The uses of mental imagery in athletics: an overview. Appl. Prev. Psychol. 6, 101–115. doi: 10.1016/S0962-1849(05)80016-2

Crossref Full Text | Google Scholar

Kay, L., Keogh, R., Andrillon, T., and Pearson, J. (2022). The pupillary light response as a physiological index of aphantasia, sensory and phenomenological imagery strength. eLife 11:e72484. doi: 10.7554/eLife.72484

PubMed Abstract | Crossref Full Text | Google Scholar

Knapen, T., Brascamp, J., Pearson, J., van Ee, R., and Blake, R. (2011). The role of frontal and parietal brain areas in bistable perception. J. Neurosci. 31, 10293–10301. doi: 10.1523/JNEUROSCI.1727-11.2011

PubMed Abstract | Crossref Full Text | Google Scholar

Lai, M. C., and Baron-Cohen, S. (2015). Identifying the lost generation of adults with autism spectrum conditions. Lancet Psychiatry 2, 1013–1027. doi: 10.1016/S2215-0366(15)00277-1

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, J., and Bartolomeo, P. (2023). Probing the unimaginable: the impact of aphantasia on distinct domains of visual mental imagery and visual perception. Cortex 166, 338–347. doi: 10.1016/j.cortex.2023.06.003

PubMed Abstract | Crossref Full Text | Google Scholar

Marks, D. F. (1995). New directions for imagery research. J. Ment. Imag. 19, 153–167.

Google Scholar

Necker, L. A. (1832). 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. London Edinburgh Philos Magaz J Sci 1, 329–337. doi: 10.1080/14786443208647909

Crossref Full Text | Google Scholar

Odou, N., and Vella-Brodrick, D. A. (2013). The efficacy of positive psychology interventions to increase well-being and the role of mental imagery ability. Soc. Indic. Res. 110, 111–129. doi: 10.1007/s11205-011-9919-1

Crossref Full Text | Google Scholar

Pearson, J. (2019). The human imagination: the cognitive neuroscience of visual mental imagery. Nat. Rev. Neurosci. 20, 624–634. doi: 10.1038/s41583-019-0202-9

PubMed Abstract | Crossref Full Text | Google Scholar

Pellicano, E., and Burr, D. (2012). When the world becomes ‘too real’: a Bayesian explanation of autistic perception. Trends Cogn. Sci. 16, 504–510. doi: 10.1016/j.tics.2012.08.009

PubMed Abstract | Crossref Full Text | Google Scholar

Reeder, R. R. (2022). Ganzflicker reveals the complex relationship between visual mental imagery and pseudo-hallucinatory experiences: a replication and expansion. Collabra Psychol. 8:36318. doi: 10.1525/collabra.36318

Crossref Full Text | Google Scholar

Rekow, D., Baudouin, J.-Y., Brochard, R., Rossion, B., and Leleu, A. (2022). Rapid neural categorization of facelike objects predicts the perceptual awareness of a face (face pareidolia). Cognition 222:105016. doi: 10.1016/j.cognition.2022.105016

PubMed Abstract | Crossref Full Text | Google Scholar

Ritvo, R. A., Ritvo, E. R., Guthrie, D., Ritvo, M. J., Hufnagel, D. H., McMahon, W., et al. (2011). The Ritvo autism Asperger diagnostic scale-revised (RAADS-R): a scale to assist the diagnosis of autism spectrum disorder in adults: an international validation study. J. Autism Dev. Disord. 41, 1076–1089. doi: 10.1007/s10803-010-1133-5

PubMed Abstract | Crossref Full Text | Google Scholar

Rubin, E. (1915). Synsoplevede Figurer: Studier i Psykologisk Analyse. Nordisk forlag: Gyldendal

Google Scholar

Rynkiewicz, A., Schuller, B., Marchi, E., Piana, S., Camurri, A., Lassalle, A., et al. (2016). An investigation of the 'female camouflage effect' in autism using a computerized ADOS-2 and a test of sex/gender differences. Mol. Autism. 7:10. doi: 10.1186/s13229-016-0073-0

PubMed Abstract | Crossref Full Text | Google Scholar

Schwarzkopf, D. S. (2024). What is the true range of mental imagery? Cortex 170, 21–25. doi: 10.1016/j.cortex.2023.09.013

PubMed Abstract | Crossref Full Text | Google Scholar

Takahashi, J., Saito, G., Omura, K., Yasunaga, D., Sugimura, S., Sakamoto, S., et al. (2023). Diversity of aphantasia revealed by multiple assessments of visual imagery, multisensory imagery, and cognitive style. Front. Psychol. 14:1174873. doi: 10.3389/fpsyg.2023.1174873

PubMed Abstract | Crossref Full Text | Google Scholar

Troje, N. F., and McAdam, M. (2010). The viewing-from-above bias and the silhouette illusion. i-Perception 1, 143–148. doi: 10.1068/i0408

PubMed Abstract | Crossref Full Text | Google Scholar

Van Tonder, G. J., and Ohtani, Y. (2008). Measuring perceived surface facets and internal contours in ‘Kanizsa’cubes. Gestalt Theory 30, 53–60.

Google Scholar

Webster, M. A. (2015). Visual Adaptation. Annu. Rev. Vis. Sci. U.S.A. 1, 547–567. doi: 10.1146/annurev-vision-082114-035509

PubMed Abstract | Crossref Full Text | Google Scholar

Wicken, M., Keogh, R., and Pearson, J. (2021). The critical role of mental imagery in human emotion: insights from fear-based imagery and aphantasia. Proc. R. Soc. Lond. B 288:20210267. doi: 10.1098/rspb.2021.0267

Crossref Full Text | Google Scholar

Zeman, A. Z., Della Sala, S., Torrens, L. A., Gountouna, V. E., McGonigle, D. J., and Logie, R. H. (2010). Loss of imagery phenomenology with intact visuo-spatial task performance: a case of ‘blind imagination’. Neuropsychologia 48, 145–155. doi: 10.1016/j.neuropsychologia.2009.08.024

PubMed Abstract | Crossref Full Text | Google Scholar

Zeman, A., Dewar, M., and Della Sala, S. (2015). Lives without imagery—congenital aphantasia. Cortex 73, 378–380. doi: 10.1016/j.cortex.2015.05.019

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, P., Jamison, K., Engel, S., He, B., and He, S. (2011). Binocular rivalry requires visual attention. Neuron 71, 362–369. doi: 10.1016/j.neuron.2011.05.035

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: Aphantasia, congenital aphantasia, visual imagery, Bayesian priors, perception

Citation: Bouyer LN and Arnold DH (2024) Deep Aphantasia: a visual brain with minimal influence from priors or inhibitory feedback? Front. Psychol. 15:1374349. doi: 10.3389/fpsyg.2024.1374349

Received: 23 January 2024; Accepted: 20 February 2024;
Published: 05 April 2024.

Edited by:

Alain Morin, Mount Royal University, Canada

Reviewed by:

Kevin Rebecchi, Lumière University Lyon 2, France

Copyright © 2024 Bouyer and Arnold. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Derek H. Arnold, d.arnold@psy.uq.edu.au

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