Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients

被引:28
作者
Murphy, Maxwell D. [1 ,2 ]
Guggenmos, David J. [2 ]
Bundy, David T. [2 ]
Nudo, Randolph J. [2 ,3 ]
机构
[1] Univ Kansas, Bioengn Grad Program, Lawrence, KS 66045 USA
[2] Univ Kansas, Med Ctr, Dept Rehabil Med, Kansas City, KS 66103 USA
[3] Univ Kansas, Med Ctr, Landon Ctr Aging, Kansas City, KS 66103 USA
关键词
brain-computer interface (BCI); microelectrodes; electrocorticography (ECoG); electroencephalography (EEG); closed-loop neuroprosthetic devices; neural prostheses; ELECTROCORTICOGRAPHIC SIGNALS; ELECTRICAL-STIMULATION; MOTOR CORTEX; LONG-TERM; MOVEMENT TRAJECTORIES; MACHINE INTERFACE; CORTICAL CONTROL; CHRONIC STROKE; EEG; FIELD;
D O I
10.3389/fncel.2015.00497
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Current research in brain computer interface (BCI) technology is advancing beyond preclinical studies, with trials beginning in human patients. To date, these trials have been carried out with several different types of recording interfaces. The success of these devices has varied widely, but different factors such as the level of invasiveness, timescale of recorded information, and ability to maintain stable functionality of the device over a long period of time all must be considered in addition to accuracy in decoding intent when assessing the most practical type of device moving forward. Here, we discuss various approaches to BCIs, distinguishing between devices focusing on control of operations extrinsic to the subject (e.g., prosthetic limbs, computer cursors) and those focusing on control of operations intrinsic to the brain (e.g., using stimulation or external feedback), including closed loop or adaptive devices. In this discussion, we consider the current challenges facing the translation of various types of BCI technology to eventual human application.
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页数:14
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