Literature DB >> 27468318

Direction and viewing area-sensitive influence of EOG artifacts revealed in the EEG topographic pattern analysis.

Guangyi Ai1, Naoyuki Sato2, Balbir Singh1, Hiroaki Wagatsuma3.   

Abstract

The influence of eye movement-related artifacts on electroencephalography (EEG) signals of human subjects, who were requested to perform a direction or viewing area dependent saccade task, was investigated by using a simultaneous recording with ocular potentials as electro-oculography (EOG). In the past, EOG artifact removals have been studied in tasks with a single fixation point in the screen center, with less attention to the sensitivity of cornea-retinal dipole orientations to the EEG head map. In the present study, we hypothesized the existence of a systematic EOG influence that differs according to coupling conditions of eye-movement directions with viewing areas including different fixation points. The effect was validated in the linear regression analysis by using 12 task conditions combining horizontal/vertical eye-movement direction and three segregated zones of gaze in the screen. In the first place, event-related potential topographic patterns were analyzed to compare the 12 conditions and propagation coefficients of the linear regression analysis were successively calculated in each condition. As a result, the EOG influences were significantly different in a large number of EEG channels, especially in the case of horizontal eye-movements. In the cross validation, the linear regression analysis using the appropriate dataset of the target direction/viewing area combination demonstrated an improved performance compared with the traditional methods using a single fixation at the center. This result may open a potential way to improve artifact correction methods by considering the systematic EOG influence that can be predicted according to the view angle such as using eye-tracker systems.

Entities:  

Keywords:  Artifact correction; Electro-oculogram (EOG); Electroencephalogram (EEG); Event-related potential (ERP); Linear regression analysis

Year:  2016        PMID: 27468318      PMCID: PMC4947054          DOI: 10.1007/s11571-016-9382-4

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  35 in total

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5.  An asynchronous wheelchair control by hybrid EEG-EOG brain-computer interface.

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Journal:  Cogn Neurodyn       Date:  2014-05-24       Impact factor: 5.082

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Authors:  Kai Kaspar; Peter König
Journal:  PLoS One       Date:  2011-07-05       Impact factor: 3.240

10.  Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data.

Authors:  Michael Plöchl; José P Ossandón; Peter König
Journal:  Front Hum Neurosci       Date:  2012-10-09       Impact factor: 3.169

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  1 in total

1.  A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis.

Authors:  Balbir Singh; Hiroaki Wagatsuma
Journal:  Comput Math Methods Med       Date:  2017-01-17       Impact factor: 2.238

  1 in total

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