Interaction of BCI with the underlying neurological conditions in patients: pros and cons.

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Bibliographic Details
Author / Creator:Kristen Lamarca.
Imprint:Frontiers Media SA 2015.
Description:1 electronic resource (129 pages)
Language:English
Series:Frontiers Research Topics,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12328412
Hidden Bibliographic Details
Other uniform titles:Directory of open access books.
Other authors / contributors:Jaime Pined.
Aleksandra Vuckovic.
Disha Gupta.
Christoph Guger.
ISBN:9782889194896
2889194892
Notes:Includes bibliographical references.
English.
Summary:The primary purpose of Brain Computer Interface (BCI) systems is to help patients communicate with their environment or to aid in their recovery. A common denominator for all BCI patient groups is that they suffer from a neurological deficit. As a consequence, BCI systems in clinical and research settings operate with control signals (brain waves) that could be substantially altered compared to brain waves of able-bodied individuals. Most BCI systems are built and tested on able-bodied individuals, being insufficiently robust for clinical applications. The main reason for this is a lack of systematic analysis on how different neurological problems affect the BCI performance. Neurological problems interfering with BCI performance are either a direct cause of a disability (e.g. stroke, autism, epilepsy) or secondary consequences of a disability, often overlooked in design of BCI systems (chronic pain, spasticity and antispastic drugs, loss of cognitive functions, drowsiness, medications which are increasing/decreasing brain activity in certain frequency range) . While some of these deficits may decrease the performance of a BCI, others may potentially improve its performance compared to BCI tested on a healthy population (e.g. overactivation of motor cortex in patients with Central neuropathic pain (CNP), increased alpha activity in some patient groups). Depending on the neurological condition, a prolonged modulation of brain waves through BCI might produce both positive or detrimental effects. Thus some BCI protocols might be more suitable for a short term use (e.g. rehabilitation of movement) while the others would be more suitable for a long term use. Prolonged self-regulation of brain oscillation through BCI could potentially be used as a treatment for aberrant brain connections for conditions ranging from motor deficits to Autism Spectrum Disorders (ASD). Currently, ASD is an increasingly prevalent condition in the U.S. with core deficits in imitation learning, language, empathy, theory of mind, and self-awareness. Understanding its neuroetiology is not only critical and necessary but should provide relevant insights into the relationship between neuroanatomy, physiology and behaviour. In this Research Topic we welcome studies of the highest scientific quality highlighting how BCI systems based on different principles (SSVEP, P300, slow cortical potential, auditory potential, operant conditioning, etc) interact with the underlying neurological problems and how performance of these BCI system differ compared to similar systems tested on healthy individuals. We also welcome studies defining signatures of neurological disorders and proposing BCI based treatments. We expect to generate a body of knowledge valuable both to researchers working with clinical populations, but also to a vast majority of BCI researchers testing new algorithms on able-bodied people. This should lead towards more robust or tailor-made BCI protocols, facilitating translation of research from laboratories to the end users.
Other form:Print version: Interaction of BCI with the underlying neurological conditions in patients : pros and cons. [Lausanne, Switzerland] : Frontiers Media SA, 2015 9782889194896

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650 0 |a Neurosciences. Biological psychiatry. Neuropsychiatry. 
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653 |a Brain Computer Interface 
653 |a Patients 
653 |a Rehabilitation 
653 |a Stroke 
653 |a spinal cord injury 
653 |a autism 
653 |a amyothopic lateral sclerosis 
653 |a Cerebral Palsy 
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700 1 |a Aleksandra Vuckovic.  |4 aut 
700 1 |a Disha Gupta.  |4 aut 
700 1 |a Christoph Guger.  |4 aut 
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