Genetic Analyses of Perceptual Rivlary

 

  

What do you see in this picture? A vase or two faces?

After a period of time, you will find that sometimes you see a white vase in the middle and sometimes you see two black faces on the sides. The image you see will switch spontaneously between the vase and the faces, but at any given moment, you can only see one of them.

This switching is neither due to changes of the image, nor due to changes in your eyes because the physical stimuli received by the retina is constant.

How does this switching happen? The simple answer is that it is your brain: it is the perception by the brain that switches.

This interesting visual cognition phenomenon is called bistable visual perception. In addition to the face-vase switch, other well-known examples of bistable perception include the Necker cube (the middle image below): the cube can be seen as facing towards the upper-left (the left image below) or towards the lower-right (the right image below) due to lack of depth information.

  

  

  
When each of our eyes was presented with a different visual stimulus, our brain's perception will stay at one eye's image for a few seconds and then be replaced by the image of the other eye, and keep switching back and forth thereafter. Both eyes strive to make the image stimulus it receives dominate the perception in the brain. This phenomenon is vividly called " binocular rivalry".

  

 

  

Bistable visual perception was scientifically and systematically described by the researcher Necker in 1832, taking the Necker cube as an example(1). In 1838, Charles Wheatstone, another researcher, made the first systematic study of binocular rivalry, another branch of visual perception rivalry, using a self-made stereoscope(2).

Perceptual rivalry can be voluntarily modulated by the brain's top-down control(3,4). There are huge individual differences in human perceptual switching rate and voluntary modulation strength. Some patients with psychiatric disorders (such as bipolar disorder and autism) show different rivalry patterns(5-9) from normal people, in terms of perceptual switching rate and duration in each perceptual state. Therefore, investigating the biological basis of perceptual rivalry may help us to find biomarkers for certain psychological disorders(10). Cognitive science research on human visual perceptual rivalry and its voluntary modulation has long been relying on psychological behavioral experiments and brain imaging including electroencephalography, magnetoencephalography, and brain magnetic resonance imaging (MRI)(11-13), whereas genetic studies have been rare.

 

Recently, Biqing Chen, Zijian Zhu, Ren Na and others from the laboratories of Drs. Yi Rao and Fang Fang at Peking University, have performed a systematic study on perceptual switching behavior and voluntary control in nearly 3400 Chinese Han college students. They chose two experimental paradigms of visual perception rivalry: the classic Necker cube rivalry and the binocular rivalry based on red-blue stereoscope, and they explored the top-down influence by the brain on the perceptual switching rate of Necker cube rivalry. By analyzing the behavioral and genomic data of these subjects, they found that human spontaneous perceptual switching rate has a heritability of about 25%, providing a genetic basis for using perceptual switching rate as a potential biomarker of mental disorders. They then carried out a genome-wide association study (GWAS) at multiple levels in a large sample of 2441 and replicated the results in another cohort of 943 subjects. They discovered that PRMT1, OR11A1, OR1L6 and other genes were associated with spontaneous perceptual switching rate, while single nucleotide polymorphisms including rs184765639, rs7559941, and genes such as MIR1178 were related to voluntary modulation strength(14). Further brain structural MRI experiments revealed genotypic difference of rs184765639 in the surface area of the left caudal-middle frontal cortex. Interestingly, although there are a small number of associated genes and pathways shared by binocular rivalry and Necker cube rivalry, the correlation between the two different perception rivalry paradigms was not high (the correlation coefficient is less than 0.3), indicating different perceptual rivalry paradigms might have distinct biological mechanisms.

Their paper titled “Genomic analyses of visual cognition: perceptual rivalry and top-down control” was published online in the Journal of Neuroscience on September 21th, 2018. The Rao and Fang laboratories cooperated in exploring the biological basis of human visual cognitive behaviors using genomic research methods. This is their first collaborative paper, combining expertise in genetic analyses expertise of Rao lab with that in the visual cognitive research expertise of Fang lab. Chongqing Medical University participated in this collaborative project.

The Rao lab has recently studied molecular basis of human cognition. The latest genome-wide association study of visual perceptual rivalry is their fourth published study on human cognition and their third paper on genetic analysis of human cognition. Their first article was published in the journal Cognition in 2016 by Zijian Zhu and others on human memory interference and reconsolidation mechanism(15), with Dr.s Yi Rao and Yanhong Wu from the Department of Psychology as co-corresponding authors. The second paper is a GWAS on human social conformity published in 2018 in the Journal of Human Genetics by Biqing Chen et al(16), with Yi Rao as the corresponding author; the third paper was published in the European Journal of Human Genetics by Zijian Zhu, Biqing Chen and others in 2018, studying the genetics of human memory using GWAS approach(17), and doctoral graduates Zijian Zhu and Biqing Chen of the Rao lab were the corresponding authors. The corresponding authors of the latest Journal of Neuroscience paper were Professors Yi Rao and Fang Fang from the PKU-IDG/McGovern Brain Research Institute, with Drs. Biqing Chen and Zijian Zhu from the Rao lab, and Dr. Ren Na from the Fang lab as the co-first authors.

  

  

References:

1. Necker LA (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. LXI. The London and Edinburgh Philosophical Magazine and Journal of Science.
2. Wheatstone C (1838) On some remarkable, and hitherto unobserved, phenomena of binocular vision. Philos Trans 128: 371–394.
3. Kornmeier J, Hein CM, Bach M (2009) Multistable perception: when bottom-up and top-down coincide. Brain Cogn 69:138-147.
4. Scocchia L, Valsecchi M, Triesch J (2014) Top-down influences on ambiguous perception: The role of stable and transient states of the observer. Front Hum Neurosci 8:979.
5. Nagamine M, Yoshino A, Miyazaki M, Takahashi Y, Nomura S (2009) Difference in binocular rivalry rate between patients with bipolar I and bipolar II disorders. Bipolar Disorders 11:539-546.
6. Wimmer MC, Doherty MJ (2010) Children with autism’s perception and understanding of ambiguous figures: Evidence for pictorial metarepresentation, a research note. Br J DevPsychol 28:627-641.
7. Allen ML, Chambers A (2011) Implicit and explicit understanding of ambiguous figures by adolescents with autism spectrum disorder. Autism 15:457-472.
8. Vierck E, Porter RJ, Luty SE, Moor S, Crowe MT, Carter JD, Inder ML, Joyce PR (2013) Further evidence for slow binocular rivalry rate as a trait marker for bipolar disorder. Aust N Z J Psychiatry 47:371-379.
9. Robertson CE, Kravitz DJ, Freyberg J, Baron-cohen S, Baker CI (2013) Slower rate of binocular rivalry in autism. J Neurosci 33:16983-16991.
10. Ngo TT, Mitchell PB, Martin NG, Miller SM (2011) Psychiatric and genetic studies of binocular rivalry: an endophenotype for bipolar disorder? ActaNeuropsychiatr 23:37-42.
11. Pitts MA, Gavin WJ, Nerger JL (2008) Early top-down influences on bistable perception revealed by event-related potentials. Brain Cogn 67:11-24.
12. Parkkonen L, Andersson J, Hamalainen MS, Hari R (2008) Early visual brain areas reflect the percept of an ambiguous scene. ProcNatlAcadSci USA 105:20500-20504.
13. Watanabe T, Masuda N, Megumi F, Kanai R, Rees G (2014) Energy landscape and dynamics of brain activity during human bistable perception. Nat Commun 5:4765.
14. Zhu ZJ, Wang YY, Cao ZJ, Chen BQ, Cai HQ, Wu YH, Rao Y (2016). Cue-independent memory impairment by reactivation-coupled interference in human declarative memory. Cognition 155:125-134.
15. Chen BQ, Zhu ZJ, WangYY, DingXH, GuoXB, He MG, FangW, ZhouSB, ZhouQ, HuangAL, ChenTM, NiDS, GuYP, LiuJN, Lei H, RaoY (2018). Nature vs. nurture in human sociality: multi-level genomic analyses of social conformity. J Hum Genet 63:605-619.
16. Zhu ZJ, Chen BQ, Yan HM, Fang W, Zhou Q, Zhou SB, Lei H, Huang AL, Chen TM, Gao TM, Chen L, Chen JY, Ni DS, Gu YP, Liu JN, Zhang WX, Rao Y (2018). Multi-level genomic analyses suggest new genetic variants involved in human memory. Eur J Hum Genet published online July 3rd, 2018.
17. Chen BQ, Zhu ZJ, NaR, Fang W,Zhang WX, Zhou Q, Zhou SB, Lei H, Huang AL, Chen TM,Ni DS, Gu YP, Liu JN, Fang F, Rao Y (2018). Genomic analyses of visual cognition: perceptual rivalry and top-down control. J Neurosci published online, September 21, 2018 (http://www.jneurosci.org/content/early/2018/09/21/JNEUROSCI.1970-17.2018)