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Determining the moving signals from the brain motor area for imaging applications
Author(s) -
Ramirez Jennifer Cristina,
Manian Vidya
Publication year - 2019
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2019.33.1_supplement.446.8
Subject(s) - brain–computer interface , neuroscience , motor imagery , physical medicine and rehabilitation , motor area , psychology , supplementary motor area , computer science , movement control , electroencephalography , medicine , functional magnetic resonance imaging
Brain‐computer interfaces (BCI) allows a noninvasive connection between the human brain and a computer system. This communication capability is useful for disabled people with impairments such as spinal cord injuries and neuromuscular disorder. In order for the BCI to acquire information, electrodes are used on certain localizations of the scalp to read the electrical brain activity. However, some challenges with BCI includes understanding key areas of the brain. Here, using Python and Psychtoolbox, we investigate the motor area of the brain to find how disabled people respond to moving targets compared to healthy subjects. The outcomes of this project will be an analysis of brain signals elicited in response to moving targets. The response of the motor area to moving signals for imagining limb movements will be investigated in healthy and disabled subjects. This may lead to better motor imagery signals for control of BCI. Support or Funding Information Financial support funded from the NIH RISE‐E‐BASE program grant number 1R25GM127191‐01 This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .