August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
Development of Electrophysiological Correlates of Face/non-face Distinction in Children with Late Sight Onset
Author Affiliations & Notes
  • Chetan Ralekar
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
  • Shefali Gupta
    Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India
  • Tapan Kumar Gandhi
    Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India
  • Sharon Gilad-Gutnick
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
  • Dhun Verma
    Project Prakash, Dr. Shroff's Charity Eye Hospital, Delhi, India
  • Priti Gupta
    Amarnath and Shashi Khosla School of Information Technology, Indian Institute of Technology, Delhi, India
  • Suma Ganesh
    Department of Ophthalmology, Dr. Shroff's Charity Eye Hospital, Delhi, India
  • Umang Mathur
    Department of Ophthalmology, Dr. Shroff's Charity Eye Hospital, Delhi, India
  • Pawan Sinha
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
  • Footnotes
    Acknowledgements  NEI (NIH) grant R01 EY020517.
Journal of Vision August 2023, Vol.23, 5655. doi:https://doi.org/10.1167/jov.23.9.5655
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Chetan Ralekar, Shefali Gupta, Tapan Kumar Gandhi, Sharon Gilad-Gutnick, Dhun Verma, Priti Gupta, Suma Ganesh, Umang Mathur, Pawan Sinha; Development of Electrophysiological Correlates of Face/non-face Distinction in Children with Late Sight Onset. Journal of Vision 2023;23(9):5655. https://doi.org/10.1167/jov.23.9.5655.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

We have had an opportunity to examine the development of face processing in children who underwent surgeries to treat congenital cataracts several years after birth. We have documented the progressive manifestation of the face/non-face classification ability in such children in our earlier behavioral work. Here, we report our studies on the development of EEG-based neural markers associated with the face/non-face distinction. As part of Project Prakash, a humanitarian and scientific effort focused on treatment and study of early blind children, we had an opportunity to work with 7 children who had dense bilateral congenital cataracts and underwent surgeries around adolescence. Our EEG study presented 100 images each of faces and non-faces, in random order. The stimulus display time was set to 300 ms and the inter-stimulus interval ranged between 1-1.5s. We used a gel based 64 channel EEG system. Recordings were collected longitudinally at 4 time points, viz. before treatment, immediately after treatment, 1 month and 3 months after the treatment. We calculated event related potentials and tracked the well-known N170 ERP component, known to be associated with structural encoding of faces. Our results reveal that the EEG signals evoked by faces and non-faces immediately after the treatment are statistically indistinguishable. Interestingly, however, face-specific N170 responses emerges within a few months of treatment, qualitatively mirroring the behavioral results we have observed previously. Furthermore, the location of the N170 in the Prakash children is consistent with its location in the typically sighted. We conclude that face-specific neural processing can be instantiated even after several years of early onset visual deprivation, and such processing in the late-sighted shows spatio-temporal characteristics similar to those in normally sighted individuals.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×