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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Selective visual attention to drive cognitive brain–machine interfaces: from concepts to neurofeedback and rehabilitation applications
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, August 2014
|
| DOI | 10.3389/fnsys.2014.00144 |
| Pubmed ID | |
| Authors |
Elaine Astrand, Claire Wardak, Suliann Ben Hamed |
| Abstract |
Brain-machine interfaces (BMIs) using motor cortical activity to drive an external effector like a screen cursor or a robotic arm have seen enormous success and proven their great rehabilitation potential. An emerging parallel effort is now directed to BMIs controlled by endogenous cognitive activity, also called cognitive BMIs. While more challenging, this approach opens new dimensions to the rehabilitation of cognitive disorders. In the present work, we focus on BMIs driven by visuospatial attention signals and we provide a critical review of these studies in the light of the accumulated knowledge about the psychophysics, anatomy, and neurophysiology of visual spatial attention. Importantly, we provide a unique comparative overview of the several studies, ranging from non-invasive to invasive human and non-human primates studies, that decode attention-related information from ongoing neuronal activity. We discuss these studies in the light of the challenges attention-driven cognitive BMIs have to face. In a second part of the review, we discuss past and current attention-based neurofeedback studies, describing both the covert effects of neurofeedback onto neuronal activity and its overt behavioral effects. Importantly, we compare neurofeedback studies based on the amplitude of cortical activity to studies based on the enhancement of cortical information content. Last, we discuss several lines of future research and applications for attention-driven cognitive brain-computer interfaces (BCIs), including the rehabilitation of cognitive deficits, restored communication in locked-in patients, and open-field applications for enhanced cognition in normal subjects. The core motivation of this work is the key idea that the improvement of current cognitive BMIs for therapeutic and open field applications needs to be grounded in a proper interdisciplinary understanding of the physiology of the cognitive function of interest, be it spatial attention, working memory or any other cognitive signal. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Slovakia | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 158 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 18% |
| Student > Master | 25 | 15% |
| Researcher | 19 | 12% |
| Student > Bachelor | 17 | 10% |
| Professor > Associate Professor | 11 | 7% |
| Other | 35 | 21% |
| Unknown | 29 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 34 | 21% |
| Neuroscience | 30 | 18% |
| Psychology | 17 | 10% |
| Agricultural and Biological Sciences | 12 | 7% |
| Medicine and Dentistry | 12 | 7% |
| Other | 23 | 14% |
| Unknown | 37 | 22% |
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 02 September 2014.
All research outputs
#13,895,468
of 23,566,295 outputs
Outputs from Frontiers in Systems Neuroscience
#757
of 1,364 outputs
Outputs of similar age
#112,283
of 232,810 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#31
of 52 outputs
Altmetric has tracked 23,566,295 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 41st percentile – i.e., 41% 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 232,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.