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Changes in Early Cortical Visual Processing Predict Enhanced Reactivity in Deaf Individuals

Overview of attention for article published in PLOS ONE, September 2011
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Title
Changes in Early Cortical Visual Processing Predict Enhanced Reactivity in Deaf Individuals
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025607
Pubmed ID
Authors

Davide Bottari, Anne Caclin, Marie-Hélène Giard, Francesco Pavani

Abstract

Individuals with profound deafness rely critically on vision to interact with their environment. Improvement of visual performance as a consequence of auditory deprivation is assumed to result from cross-modal changes occurring in late stages of visual processing. Here we measured reaction times and event-related potentials (ERPs) in profoundly deaf adults and hearing controls during a speeded visual detection task, to assess to what extent the enhanced reactivity of deaf individuals could reflect plastic changes in the early cortical processing of the stimulus. We found that deaf subjects were faster than hearing controls at detecting the visual targets, regardless of their location in the visual field (peripheral or peri-foveal). This behavioural facilitation was associated with ERP changes starting from the first detectable response in the striate cortex (C1 component) at about 80 ms after stimulus onset, and in the P1 complex (100-150 ms). In addition, we found that P1 peak amplitudes predicted the response times in deaf subjects, whereas in hearing individuals visual reactivity and ERP amplitudes correlated only at later stages of processing. These findings show that long-term auditory deprivation can profoundly alter visual processing from the earliest cortical stages. Furthermore, our results provide the first evidence of a co-variation between modified brain activity (cortical plasticity) and behavioural enhancement in this sensory-deprived population.

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Geographical breakdown

Country Count As %
Switzerland 1 1%
India 1 1%
United Kingdom 1 1%
Canada 1 1%
Spain 1 1%
Japan 1 1%
Unknown 84 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 27%
Student > Master 15 17%
Student > Bachelor 9 10%
Researcher 8 9%
Other 4 4%
Other 15 17%
Unknown 15 17%
Readers by discipline Count As %
Psychology 28 31%
Neuroscience 14 16%
Medicine and Dentistry 10 11%
Agricultural and Biological Sciences 5 6%
Linguistics 4 4%
Other 10 11%
Unknown 19 21%