| Title |
Brain Machine Interfaces for Vision Restoration: The Current State of Cortical Visual Prosthetics
|
|---|---|
| Published in |
Neurotherapeutics, January 2019
|
| DOI | 10.1007/s13311-018-0660-1 |
| Pubmed ID | |
| Authors |
Soroush Niketeghad, Nader Pouratian |
| Abstract |
Loss of vision alters the day to day life of blind individuals and may impose a significant burden on their family and the economy. Cortical visual prosthetics have been shown to have the potential of restoring a useful degree of vision via stimulation of primary visual cortex. Due to current advances in electrode design and wireless power and data transmission, development of these prosthetics has gained momentum in the past few years and multiple sites around the world are currently developing and testing their designs. In this review, we briefly outline the visual prosthetic approaches and describe the history of cortical visual prosthetics. Next, we focus on the state of the art of cortical visual prosthesis by briefly explaining the design of current devices that are either under development or in the clinical testing phase. Lastly, we shed light on the challenges of each design and provide some potential solutions. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Iran, Islamic Republic of | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 21% |
| Student > Bachelor | 28 | 19% |
| Researcher | 16 | 11% |
| Student > Master | 16 | 11% |
| Student > Doctoral Student | 9 | 6% |
| Other | 4 | 3% |
| Unknown | 44 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 21% |
| Neuroscience | 23 | 16% |
| Computer Science | 8 | 5% |
| Psychology | 8 | 5% |
| Medicine and Dentistry | 7 | 5% |
| Other | 17 | 11% |
| Unknown | 54 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1357. 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 August 2023.
All research outputs
#9,593
of 25,791,495 outputs
Outputs from Neurotherapeutics
#2
of 1,320 outputs
Outputs of similar age
#148
of 449,496 outputs
Outputs of similar age from Neurotherapeutics
#1
of 20 outputs
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.