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Q&A: A/ Prof Holly Bridge
February 1, 2019 @ 13:00 - 15:00
Understanding the pathways underlying residual visual function after damage to primary visual cortex
Friday 1 February, 1pm at the Large Lecture Theatre, Sherrington Building, Oxford
The Cortex Club is delighted to present Associate Prof Holly Bridge from the Nuffield Department of Clinical Neuroscience, Oxford, who, as part of the DPAG Head of the Department seminar series, will be talking to us about her work on residual function after loss of vision. Please join us on February 1st at the Large Lecture Theatre, located in the Sherrington Building of the Department of Physiology, Anatomy and Genetics.
We are hosting a Q&A session after the talk from 2.00 to 3.00 in the Cardiac Seminar Room. We warmly invite in particular students and postdocs to join us. Sandwiches provided. Please sign up at: https://goo.gl/forms/9MsoDV44W0OBbmIa2
Damage to the primary visual cortex leads to loss of the visual field contralateral to the damaged cortex. However, in spite of this loss, some patients are still able to detect visual information about stimuli presented within their blind field. A growing area of research aims to exploit this residual visual function to try to improve visual performance through rehabilitation programmes stimulating the blind field. However, to optimise such programmes it is important to understand the pathways through which this information is conveyed. Here I will present a series of magnetic resonance imaging studies in which we attempted to elucidate these pathways in a group of hemianopic patients. Firstly I will explain how our functional MRI studies use the specific pattern of response to visual stimulation in different visual areas to uncover candidate pathways. I will use diffusion-weighted data to provide support for a pathway between the lateral geniculate nucleus and motion area MT that is consistently intact only in patients showing blindsight abilities. Finally, I will present our most recent data in which we find further support for this pathway using functional connectivity analysis.