Brain-computer interface technology (BCI) emerged five decades ago as a new communication technology to permit subjects with severe neuromuscular disorders to communicate and interact with the rest of the world. The rapid development of wireless technology has opened the door for out-of-the-lab applications, such as in the field of entertainment, neurosciences, neurogaming, industry, education, and neuromarketing. More and more new applications of brain-computer interfaces technology are emerging, including implementations in motor imagery.
This Special Issue on “Brain-computer Interfaces in Neuroscience: Progress and Challenges” will explore the implementations and prospects of both non-invasive and invasive brain-computer interface technology. The scope of the release includes:
- BCI technology,
- machine learning in BCI technology,
- motor imagery with BCI,
- analysis of biomedical signals for BCI,
- neurosciences, modeling, and neuroinformatics,
- biomedical engineering, control and robotics, and computer engineering in BCI technology.
Asst. Prof. Dr. Szczepan Paszkiel
Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 1900 USD. Submitted manuscripts should be well formatted in good English.
A Causal-Comparative Study of the Neurological Foundation for Intelligence
Dr. Chuck Easttom
There are a number of published studies regarding the neurological substrate of intelligence. Studies have focused on brain volume, genetic markers, and other physiological metrics that can be correlated with intelligence. The current study is a meta-analysis of published literature regarding the relationship of white matter/glial cells and cognitive function. By performing a meta-analysis of multiple studies, more definitive conclusions can be posited, than could be done with a single study. The current study, drawing on multiple sources, clearly demonstrates a correlation between the development of glial cells and cognitive function. Furthermore, the current study shows a correlation between various pathological declines in cognitive function and a decrease in the health and function of glial cells.