Literature DB >> 29508698

Consciousness reflected in the eyes.

Woon Ju Park1,2,3, Kimberly B Schauder1,3, Duje Tadin1,2,4.   

Abstract

People with higher autistic traits display stronger fluctuations in pupil size when presented with an optical illusion.
© 2018, Park et al.

Entities:  

Keywords:  autism; consciousness; human; neuroscience; optical illusions; pupil size; pupillometry; visual processing

Mesh:

Year:  2018        PMID: 29508698      PMCID: PMC5839693          DOI: 10.7554/eLife.35374

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


Related research article Turi M, Burr DC, Binda P. 2018. Pupillometry reveals perceptual differences that are tightly linked to autistic traits in typical adults. eLife 7:e32399. doi: 10.7554/eLife.32399 Most of the tasks that our brain orchestrates in our body are performed outside of our conscious awareness. In addition to breathing, maintaining our balance and keeping our heart beating, these tasks include increasing or decreasing the size of our pupils as our environment becomes darker or lighter. This allows us to see in both darkened rooms and on bright sunny days. Although the area of a pupil can change by as much as a factor of ten (Winn et al., 1994), we are not aware of the small movements in the ocular muscles that open and close our pupils. Recent studies have painted a complex and fascinating picture of what drives these changes in pupil size. Despite representing the lowest level of visual function, these pupil dynamics can reflect sophisticated processes that are closely linked to our everyday experience (including attention, decision making, and even aesthetic experiences; Binda and Murray, 2015; Hartmann and Fischer, 2014). Therefore, measurements of the pupils, also known as pupillometry, may be used as an indicator for cognitive and perceptual states. This method is also objective and non-invasive, and can, therefore be applied in a wide range of clinical contexts. For example, it enables us to communicate with patients suffering from ‘locked-in’ syndrome – a condition characterized by the paralysis of every muscle except the eye (Stoll et al., 2013). Now, in eLife, Marco Turi, David Burr and Paola Binda – who are based at research institutes in Pisa, Florence and Sydney – report that fluctuations in pupil size may provide insight into clinical disorders (Turi et al., 2018). The researchers used a well-known optical cylinder illusion that consists of two overlapping sets of black and white dots moving in opposite directions on a 2D plane (Figure 1A). Due to the different speeds of the dots, anyone looking at the dots usually sees a rotating 3D cylinder (Andersen and Bradley, 1998; Video 1 in Turi et al., 2018). However, since the resulting illusion makes it difficult to detect which color is at the front (and, thus, the direction of rotation), our visual system selects one interpretation at any given time. As a result, the perceived rotation switches direction every few seconds (Figure 1B). Such approaches, where the physical stimulus remains constant but our subjective perception changes, have been widely used to study the mechanisms underlying visual awareness (Kim and Blake, 2005).
Figure 1.

Changes in pupil size depend on subjective visual perception.

(A) Turi et al. used a visual stimulus in which two sets of dots (white and black) moved in opposite directions (thin arrows). (B) To an observer this stimulus appears as a 3D cylinder that rotates in a clockwise direction with the black dots at the front (top), or in a counter-clockwise direction with the white dots at the front (bottom). This perceived direction of rotation switches every few seconds. (C) Turi et al. found that pupil size increased when the black dots appeared to be at the front, and decreased when the white dots appeared to be at the front. The size of this change was correlated with Autism-Spectrum Quotient score.

Changes in pupil size depend on subjective visual perception.

(A) Turi et al. used a visual stimulus in which two sets of dots (white and black) moved in opposite directions (thin arrows). (B) To an observer this stimulus appears as a 3D cylinder that rotates in a clockwise direction with the black dots at the front (top), or in a counter-clockwise direction with the white dots at the front (bottom). This perceived direction of rotation switches every few seconds. (C) Turi et al. found that pupil size increased when the black dots appeared to be at the front, and decreased when the white dots appeared to be at the front. The size of this change was correlated with Autism-Spectrum Quotient score. To track any subjective change in perception, the participants reported how they experienced the rotation of the cylinder, while the researchers measured the pupil size. Although the overall intensity of light (the primary factor influencing pupil size) remained constant, the size of the pupils changed: the pupils became larger when the black dots seemed to be in the front, but became smaller, when the white dots appeared to be in front (Figure 1C). In some participants, the size of the pupils changed substantially between the black and white phases, while in others the changes were only minimal. Turi et al. revealed that these differences strongly correlated with the Autism-Spectrum Quotient (AQ) scores of the participants (Baron-Cohen et al., 2001). The higher the number of autistic traits reported by an individual in the AQ questionnaire, the stronger the changes in pupil size became. This effect accounted for about half of the variance in AQ scores, which is considerably higher than the sizes of the effects reported for other sensory measures (e.g., Ujiie et al., 2015). Turi et al. argue that the changes in pupil size reflect how individuals process visual information differently. Some people tend to focus on small, defined areas such as the surface at the front, while others concentrate on the entire cylinder. Consequently, people with a more detailed focus should have more fluctuations in pupil size, because their focus alternates between black and white dots. This observation is tightly linked with the long-standing hypothesis that individuals with autism spectrum disorders tend to focus more on the detail rather than the bigger picture (Happé and Frith, 2006). The findings of Turi et al. provide compelling evidence that the size of a pupil reflects subjective differences in a way that is highly correlated to the reported autistic traits of the participants. The study provides numerous possibilities to investigate higher-level cognitive processes. This can be particularly valuable when studying individuals who may find it difficult to engage in complex behavioral tasks, such as individuals with minimal language skills or deficits in other cognitive abilities. Pupillometry is clearly a powerful tool for characterizing the individual differences in processing visual information and, potentially, for advancing our understanding of autism spectrum disorders.
  9 in total

Review 1.  Psychophysical magic: rendering the visible 'invisible'.

Authors:  Chai-Youn Kim; Randolph Blake
Journal:  Trends Cogn Sci       Date:  2005-08       Impact factor: 20.229

2.  Perception of three-dimensional structure from motion.

Authors:  R A Andersen; D C Bradley
Journal:  Trends Cogn Sci       Date:  1998-06-01       Impact factor: 20.229

3.  Keeping a large-pupilled eye on high-level visual processing.

Authors:  Paola Binda; Scott O Murray
Journal:  Trends Cogn Sci       Date:  2014-11-24       Impact factor: 20.229

4.  Pupillometry: the eyes shed fresh light on the mind.

Authors:  Matthias Hartmann; Martin H Fischer
Journal:  Curr Biol       Date:  2014-03-31       Impact factor: 10.834

5.  Pupil responses allow communication in locked-in syndrome patients.

Authors:  Josef Stoll; Camille Chatelle; Olivia Carter; Christof Koch; Steven Laureys; Wolfgang Einhäuser
Journal:  Curr Biol       Date:  2013-08-05       Impact factor: 10.834

6.  Factors affecting light-adapted pupil size in normal human subjects.

Authors:  B Winn; D Whitaker; D B Elliott; N J Phillips
Journal:  Invest Ophthalmol Vis Sci       Date:  1994-03       Impact factor: 4.799

7.  The autism-spectrum quotient (AQ): evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians.

Authors:  S Baron-Cohen; S Wheelwright; R Skinner; J Martin; E Clubley
Journal:  J Autism Dev Disord       Date:  2001-02

Review 8.  The weak coherence account: detail-focused cognitive style in autism spectrum disorders.

Authors:  Francesca Happé; Uta Frith
Journal:  J Autism Dev Disord       Date:  2006-01

9.  The relationship between level of autistic traits and local bias in the context of the McGurk effect.

Authors:  Yuta Ujiie; Tomohisa Asai; Akio Wakabayashi
Journal:  Front Psychol       Date:  2015-06-30
  9 in total

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