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Long Timescale fMRI Neuronal Adaptation Effects in Human Amblyopic Cortex

Overview of attention for article published in PLOS ONE, October 2011
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Title
Long Timescale fMRI Neuronal Adaptation Effects in Human Amblyopic Cortex
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0026562
Pubmed ID
Authors

Xingfeng Li, Damien Coyle, Liam Maguire, Thomas M. McGinnity, Robert F. Hess

Abstract

An investigation of long timescale (5 minutes) fMRI neuronal adaptation effects, based on retinotopic mapping and spatial frequency stimuli, is presented in this paper. A hierarchical linear model was developed to quantify the adaptation effects in the visual cortex. The analysis of data involved studying the retinotopic mapping and spatial frequency adaptation effects in the amblyopic cortex. Our results suggest that, firstly, there are many cortical regions, including V1, where neuronal adaptation effects are reduced in the cortex in response to amblyopic eye stimulation. Secondly, our results show the regional contribution is different, and it seems to start from V1 and spread to the extracortex regions. Thirdly, our results show that there is greater adaptation to broadband retinotopic mapping as opposed to narrowband spatial frequency stimulation of the amblyopic eye, and we find significant correlation between fMRI response and the magnitude of the adaptation effect, suggesting that the reduced adaptation may be a consequence of the reduced response to different stimuli reported for amblyopic eyes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
China 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 36%
Student > Ph. D. Student 5 20%
Student > Master 3 12%
Student > Bachelor 2 8%
Lecturer 1 4%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Neuroscience 5 20%
Agricultural and Biological Sciences 4 16%
Psychology 4 16%
Computer Science 2 8%
Engineering 2 8%
Other 4 16%
Unknown 4 16%