Employing an active mental task to enhance the performance of auditory attention-based brain–computer interfaces

► The active mental task (AMT) generated a stronger late positive ERP response other than the P300 evoked by a traditional oddball counting paradigm. ► The AMT paradigm was explored from its basic neurophysiological characteristics to BCI classification accuracies. ► The results indicate that the AM...

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Vydáno v:	Clinical neurophysiology Ročník 124; číslo 1; s. 83 - 90
Hlavní autoři:	Xu, Honglai, Zhang, Dan, Ouyang, Minhui, Hong, Bo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ireland Ltd 01.01.2013 Elsevier
Témata:	Acoustic Stimulation Active mental task Adult Attention - physiology Auditory evoked potentials Auditory Perception - physiology Behavioral psychophysiology Biological and medical sciences Brain-Computer Interfaces - classification Brain–computer interfaces Data Interpretation, Statistical Electrodiagnosis. Electric activity recording Electroencephalography Electrophysiology Evoked Potentials, Auditory - physiology Female Fundamental and applied biological sciences. Psychology Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Mental Processes - physiology Nervous system Neurology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychomotor Performance - physiology Reaction Time - physiology Young Adult Active mental task Brain–computer interfaces Auditory evoked potentials Human Central nervous system Auditory attention Sex Electrophysiology Brain-computer interfaces Encephalon Brain-computer interface Accuracy Discrimination Modulation Auditory evoked potential Classification Reaction time Performance Event evoked potential Communication
ISSN:	1388-2457, 1872-8952, 1872-8952
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Shrnutí:	► The active mental task (AMT) generated a stronger late positive ERP response other than the P300 evoked by a traditional oddball counting paradigm. ► The AMT paradigm was explored from its basic neurophysiological characteristics to BCI classification accuracies. ► The results indicate that the AMT paradigm is a candidate for improving the performance of auditory BCIs. A majority of auditory brain–computer interfaces (BCIs) use the attentional modulation of auditory event-related potentials (ERPs) for communication and control. This study investigated whether the performance of an ERP-based auditory BCI can be further improved by increasing the mental efforts associated with the execution of the attention-related task. Subjects mentally selected a target among a random sequence of spoken digits. Upon the detection of the target digit, the subjects were required to perform an active mental task (AMT) – mentally discriminating the gender property of the target voice. The total number of presented digits was manipulated to investigate possible influences of the number of choices. The subjects also participated in two control experiments, in which they were asked to (1) press a button to report their discrimination results or (2) simply count the appearance of the target digit without performing the AMT. Two ERP components, that is, a negative shift around 200ms (Nd) over the fronto-central area and a positive deflection during 500–600ms (late positive component, LPC) over the central–parietal area, were modulated by execution of the AMT. Compared to a counting task, the AMT resulted in paradigm-specific enhanced LPC responses. The latency of the LPC was significantly correlated with the behavioural reaction time, indicating that the LPC could originate from a response-related brain network similar to P3b. The AMT paradigm resulted in an increase of 4–6% in BCI classification accuracies, compared to a counting paradigm that was considered to represent the traditional auditory attention BCI paradigms (p<0.05). In addition, the BCI classification accuracies were not significantly affected by the number of BCI choices in the AMT paradigm. (1) LPC was identified as the AMT-specific ERP component and (2) the performance of auditory BCIs can be improved from the human response side by introducing additional mental efforts when executing attention-related tasks. The neurophysiological characteristics of the recently proposed auditory BCI paradigm using an AMT were explored. The results suggest the proposed paradigm as a candidate for improving the performance of auditory BCIs.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1388-2457 1872-8952 1872-8952
DOI:	10.1016/j.clinph.2012.06.004