August 2014
Volume 14, Issue 10
Free
Vision Sciences Society Annual Meeting Abstract  |   August 2014
TMS to object-selective LO enhances fMR adaptation to scenes in the PPA
Author Affiliations
  • Sara Rafique
    Department of Psychology and Centre for Vision Research, York University, Toronto, ON, Canada
  • Lily Solomon-Harris
    Department of Psychology and Centre for Vision Research, York University, Toronto, ON, Canada
  • Jennifer Steeves
    Department of Psychology and Centre for Vision Research, York University, Toronto, ON, Canada
Journal of Vision August 2014, Vol.14, 1083. doi:10.1167/14.10.1083
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      Sara Rafique, Lily Solomon-Harris, Jennifer Steeves; TMS to object-selective LO enhances fMR adaptation to scenes in the PPA . Journal of Vision 2014;14(10):1083. doi: 10.1167/14.10.1083.

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

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Abstract

Damage to object-selective lateral occipital cortex (LO) results in impaired object recognition as evidenced in patients with object agnosia. We recently showed that transcranial magnetic stimulation (TMS) to LO disrupts object processing but enhances scene processing (Mullin & Steeves, 2011). This behavioural dissociation is mirrored in reduced BOLD signal at area LO subsequent to TMS to LO and increased BOLD signal in the scene-selective parahippocampal place area (PPA) (Mullin & Steeves, 2013). We performed consecutive repetitive TMS - fMRI using an fMR adaptation paradigm to determine response properties of object and scene processing regions following TMS to left LO compared to baseline. Participants viewed blocks of variant and invariant objects and scenes. At the TMS target site release from adaptation still occurred when viewing objects, and in the PPA release from adaptation was increased when viewing scenes. These findings suggest that despite disruption to area LO from TMS, it continues to differentiate objects. Remote areas in the network, specifically the PPA, benefit from disruption to LO with enhanced response properties.

Meeting abstract presented at VSS 2014

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