Prediction of brain-computer interface aptitude from individual brain structure
نویسندگان
چکیده
منابع مشابه
Prediction of brain-computer interface aptitude from individual brain structure
OBJECTIVE Brain-computer interface (BCI) provide a non-muscular communication channel for patients with impairments of the motor system. A significant number of BCI users is unable to obtain voluntary control of a BCI-system in proper time. This makes methods that can be used to determine the aptitude of a user necessary. METHODS We hypothesized that integrity and connectivity of involved whi...
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OBJECTIVE Brain-computer interfaces (BCIs) provide a non-muscular communication channel for patients with late-stage motoneuron disease (e.g., amyotrophic lateral sclerosis (ALS)) or otherwise motor impaired people and are also used for motor rehabilitation in chronic stroke. Differences in the ability to use a BCI vary from person to person and from session to session. A reliable predictor of ...
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A brain-Computer interface (BCI), also known as brain-machine interface (BMI), utilizes neurophysiological correlates of voluntary cognitive tasks to facilitate direct communication between human brain and computing devices without the involvement of neuro-muscular pathways. This emerging research area has the potential to contribute significantly to enhancing the accessibility of ICT systems f...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2013
ISSN: 1662-5161
DOI: 10.3389/fnhum.2013.00105