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An Approach to Localizing Corneal Pain Representation in Human Primary Somatosensory Cortex

Overview of attention for article published in PLOS ONE, September 2012
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Title
An Approach to Localizing Corneal Pain Representation in Human Primary Somatosensory Cortex
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044643
Pubmed ID
Authors

Eric A. Moulton, Lino Becerra, Perry Rosenthal, David Borsook

Abstract

The cornea has been a focus of animal electrophysiological research for decades, but little is known regarding its cortical representation in the human brain. This study attempts to localize the somatotopic representation of the cornea to painful stimuli in human primary somatosensory cortex using functional magnetic resonance imaging (fMRI). In this case study, a subject was imaged at 3T while bright light was presented in a block-design, which either produced pain and blinking (during photophobia) or blinking alone (after recovery from photophobia). Pain and blinking produced precisely localized activations in primary somatosensory cortex and primary motor cortex. These results indicate that noxious stimulation of the cornea can produce somatotopic activation in primary somatosensory cortex. This finding opens future avenues of research to evaluate the relationship between corneal pain and central brain mechanisms relating to the development of chronic pain conditions, such as dry eye-like symptoms.

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 9 15%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Professor 4 7%
Other 9 15%
Unknown 11 18%
Readers by discipline Count As %
Medicine and Dentistry 17 28%
Neuroscience 13 22%
Agricultural and Biological Sciences 8 13%
Engineering 2 3%
Nursing and Health Professions 1 2%
Other 5 8%
Unknown 14 23%