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Rehabilitation Approaches in Macular Degeneration Patients

Overview of attention for article published in Frontiers in Systems Neuroscience, December 2016
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Title
Rehabilitation Approaches in Macular Degeneration Patients
Published in
Frontiers in Systems Neuroscience, December 2016
DOI 10.3389/fnsys.2016.00107
Pubmed ID
Authors

Marcello Maniglia, Benoit R. Cottereau, Vincent Soler, Yves Trotter

Abstract

Age related macular degeneration (AMD) is a visual disease that affects elderly population. It entails a progressive loss of central vision whose consequences are dramatic for the patient's quality of life. Current rehabilitation programs are restricted to technical aids based on visual devices. They only temporarily improve specific visual functions such as reading skills. Considering the rapid increase of the aging population worldwide, it is crucial to intensify clinical research on AMD in order to develop simple and efficient methods that improve the patient's visual performances in many different contexts. One very promising approach to face this challenge is based on perceptual learning (PL). Through intensive practice, PL can induce neural plasticity in sensory cortices and result in long-lasting enhancements for various perceptual tasks in both normal and visually impaired populations. A growing number of studies showed how appropriate PL protocols improve visual functions in visual disorders, namely amblyopia, presbyopia or myopia. In order to successfully apply these approaches to more severe conditions such as AMD, numerous challenges have to be overcome. Indeed, the overall elderly age of patients and the reduced cortical surface that is devoted to peripheral vision potentially limit neural plasticity in this population. In addition, ocular fixation becomes much less stable because patients have to rely on peripheral fixation spots outside the scotoma whose size keeps on evolving. The aim of this review article is to discuss the recent literature on this topic and to offer a unified approach for developing new rehabilitation programs of AMD using PL. We argue that with an appropriate experimental and training protocol that is adapted to each patient needs, PL can offer fascinating opportunities for the development of simple, non-expensive rehabilitation approaches a large spectrum of visual functions in AMD patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Austria 1 1%
Unknown 95 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 22%
Student > Master 18 18%
Student > Ph. D. Student 11 11%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 16 16%
Unknown 18 18%
Readers by discipline Count As %
Neuroscience 17 17%
Psychology 16 16%
Medicine and Dentistry 13 13%
Nursing and Health Professions 4 4%
Sports and Recreations 4 4%
Other 15 15%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 January 2017.
All research outputs
#17,837,681
of 22,914,829 outputs
Outputs from Frontiers in Systems Neuroscience
#1,057
of 1,345 outputs
Outputs of similar age
#293,530
of 420,807 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#24
of 28 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.