Interhemispheric asymmetry of reactions to spatial modulations of local visual indications
PDF (Russian)

Keywords

evoked potential
d-wave
texture
spatial modulations
contrast
orientation
spatial frequency
interhemispheric asymmetry
local indications
grouping

Abstract

Visual perception starts with a parallel spatial-frequency filtering. A visual scene is presented by a number of local indications in outputs of first-order filters. Their spatial association is the next important operation. It is the grouping of local indicators that underlies the transition to spatial vision. Recent research indicates that second-order
visual filters perform this grouping. It is believed that the right hemisphere plays the leading role in spatial vision.
The present study puts forward a hypothesis that this dominance can be formed even at the stage of the transition from a local to a global description of visual scenes. For this purpose the authors investigated interhemispheric asymmetry of potentials caused by functioning of second-order visual filters. These elements integrate the outputs
of first-order filters and respond to spatial modulations of local visual indications. To solve this problem the authors recorded visual evoked potentials to a non-modulated texture and textures sinusoidally modulated in orientation, spatial frequency, and contrast. Next, they subtracted the response to the non-modulated texture from the
response to the modulated texture. In result, each derivation received three different waves (d-waves): to the modulation of contrast, orientation, or spatial frequency. The comparison of d-waves in symmetric derivations revealed that its amplitude for all the
used modulations is higher in the right hemisphere. Interhemispheric asymmetry to the modulation of orientation was most pronounced; it manifested itself better in occipital regions. The findings of the study showed the leading role of the right hemisphere in the processes of spatial association of local visual indications.

https://doi.org/10.21702/rpj.2016.4.11
PDF (Russian)

References

Ermakov P. N., Babenko V. V., Yavna D. V. Issledovanie analiza nezavisimykh komponentov dlya lokalizatsii istochnikov vyzvannoi aktivnosti pri razlichenii teksturnykh modulyatsii [The study of the analysis of independent components for localizing the evoked activity sources in distinguishing texture modulations]. Rossiiskii psikhologicheskii zhurnal – Russian Psychological Journal, 2012, V. 9, no. 3, pp. 56–64.
Polyanskii V. B., Alymkulov D. E., Sokolov E. N., Radzievskaya M. G., Ruderman G. L. Otrazhenie v vyzvannykh potentsialakh zritel'noi kory krolika izmenenii v orientatsii i intensivnosti linii [The reflection of changes of the orientation and intensity of lines in evoked potentials in the visual cortex of the rabbit]. Zhurnal vysshei nervnoi deyatel'nosti im. I. P. Pavlova – I. P. Pavlov Journal of Higher Nervous Activity, 2008, V. 58, no. 5, pp. 586–597.
Polyanskii V. B., Evtikhin D. V., Sokolov E. N. Yarkostnye komponenty zritel'nykh vyzvannykh potentsialov na tsvetovye stimuly u krolika [Brightness components of visual evoked potentials to color stimuli in the rabbit]. Zhurnal vysshei nervnoi deyatel'nosti im. I. P. Pavlova – I. P. Pavlov Journal of Higher Nervous Activity, 1999, V. 49, no. 6, pp. 1046–1051.
Ashida H., Lingnau A., Wall M. B., Smith A. T. FMRI adaptation reveals separate mechanisms for first-order and second-order motion.J. Neurophysiol.,2007, V. 97, no. 2, pp. 1319–1325.
Babenko V. V., Ermakov P. N. Specificity of brain reactions to second-order visual stimuli.Vis. Neurosci., 2015, V. 32, e011. Available at: https://doi.org/10.1017/S0952523815000085
Buffalo E. A., Fries P., Landman R., Liang H., Desimone R. A backward progression of attentional effects in the ventral stream.Proc. Natl. Acad. Sci. USA, 2010, V. 107, pp. 361–365.
Gable P. A., Poole B. D., Cook M. S. Asymmetrical hemisphere activation enhances global-local processing.Brain & Cogn., 2013, V. 83, pp. 337–341.
Graham N. V. Beyond multiple pattern analyzers modeled as linear filters (as classical V1 simple cells): Useful additions of the last 25 years.Vis. Res., 2011, V. 51, pp. 1397–1430.
Hallum L. E., Movshon J. A. Surround suppression supports second-order feature encoding by macaque V1 and V2 neurons.Vis. Res., 2014, V. 104, pp. 24–35.
Hillyard S. A., Anllo-Vento L. Event-related brain potentials in the study of visual selective attention.Proc. Natl. Acad. Sci. USA, 1998, V. 95, pp. 781–787.
Isreal J. B., Chesney G. L., Wickens C. D., Donchin E. P300 and tracking difficulty: evidence for multiple resources in dual-task performance. Psychophysiology, 1980, V. 17, no. 3, pp. 259–273.
Landy M. S., Oruc I. Properties of second-order spatial frequency.Vis. Res., 2002, V. 42, pp. 2311–2329.
Larsson J., Landy M. S., Heeger D. J. Orientation-selective adaptation to first- and second-order patterns in human visual cortex.J. Neurophysiol., 2006, V. 95, no 2, pp. 862–881.
Luck S. J. Sources of dual-task interference: Evidence from human electrophysiology.Psychological Science, 1998, V. 9, pp. 223–227.
Mehta A. D., Ulbert I., Schroeder C. E. Intermodal selective attention in monkeys. II: Physiological mechanisms of modulation.Cerebral Cortex, 2000,V. 10, pp. 359–370.
Schofield A. J., Rock P. B., Sun P., Jiang X., & Georgeson M. A. What is second-order vision for? Discriminating illumination versus material changes.J. Vision, 2010, V. 10, no. 9, pp. 1–18.
Straube S., Grimsen C., Fahle M. Electrophysiological correlates of figure-ground segregation directly reflect perceptual saliency.Vis. Res., 2010, V. 50, pp. 509–521.
Sutter A., Sperling G., Chubb C. Measuring the spatial frequency selectivity of second-order texture mechanisms.Vision Res., 1995, V. 35, no. 7, pp. 915–924.
Volberg G. Right-hemisphere specialization for contour grouping.Exp. Psychol., 2014, V. 61, pp. 331–339.
Wilson H. R. Non-Fourier cortical processes in texture, form, and motion perception.Cerebral Cortex, 1999, V. 13, pp. 445–477.