Literature DB >> 20435514

Localisation of cognitive tasks used in EEG-based BCIs.

M Dyson1, F Sepulveda2, J Q Gan2.   

Abstract

OBJECTIVE: To provide candidate electrode sites and neurophysiological reference information for cognitive tasks used in brain-computer interfacing research.
METHODS: Six cognitive tasks were tested against the idle state. Data representing the idle state were collected with active cognitive task data during each recording session. Cross subject candidate electrode sites were obtained via a wrapper method based upon a sequential forward floating search algorithm. Source localisation results were obtained using sLORETA software.
RESULTS: Spatial feature distributions and localisation results are presented. Primary centres of activity for motor imagery tasks are localised to the pre- and postcentral gyrus. Auditory-based tasks show activity in the middle temporal gyrus. Calculation activity was localised to the left inferior frontal gyrus and right supramarginal gyrus. Navigation imagery produced activity in the precuneus and anterior cingulate cortex.
CONCLUSIONS: Spatial areas of activation suggest that arithmetic and auditory tasks show promise for pairwise discrimination based on single recording sites. sLORETA significance levels suggest that motor imagery tasks will show greatest discrimination from baseline EEG activity. SIGNIFICANCE: This is the first study to provide candidate electrode sites for multiple tasks used in brain-computer interfacing. 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20435514     DOI: 10.1016/j.clinph.2010.03.011

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

1.  Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method.

Authors:  Li Zhang; John Q Gan; Haixian Wang
Journal:  Cogn Neurodyn       Date:  2015-05-23       Impact factor: 5.082

2.  Single-trial classification of motor imagery differing in task complexity: a functional near-infrared spectroscopy study.

Authors:  Lisa Holper; Martin Wolf
Journal:  J Neuroeng Rehabil       Date:  2011-06-18       Impact factor: 4.262

3.  Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach.

Authors:  Peter Gerjets; Carina Walter; Wolfgang Rosenstiel; Martin Bogdan; Thorsten O Zander
Journal:  Front Neurosci       Date:  2014-12-09       Impact factor: 4.677

Review 4.  Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review.

Authors:  Keum-Shik Hong; Muhammad Jawad Khan
Journal:  Front Neurorobot       Date:  2017-07-24       Impact factor: 2.650

  4 in total

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