Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks

The use of hierarchical linear modelling has been increasing in the last 5 years to analyze EEG data. Until now, no clear comparison on linear modelling in different modalities has been done. Therefore, specific differences observed in both visual and auditory paradigms were computed with linear modelling. The Coefficient of Determination through the explained variance (R2) in Linear Modelling was sought in visual and auditory modalities. ERP scalp series of time from 100 to 300 ms for the visual task and around 150 ms to 400 for the auditory task were also plotted. Although these paradigms use different regressors, both paradigms showed reliable R2 signatures across the participants and reliable ERP scalp maps. Results accounted for different magnitudes in greater R2 values for visual modality. Auditory R2 results appeared with a reliable linear modelling when compared with R2 studies in other subjects.

[1]  L. F. Haas.  Hans Berger (1873–1941), Richard Caton (1842–1926), and electroencephalography , 2003, Journal of neurology, neurosurgery, and psychiatry.

[2]  Daniel H. Mathalon,et al.  Neurophysiological Distinction between Schizophrenia and Schizoaffective Disorder , 2009, Front. Hum. Neurosci..

[3]  Lakhmi C. Jain,et al.  Innovation in Medicine and Healthcare 2015 , 2015 .

[4]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[5]  Robert Ritch,et al.  A validated risk calculator to assess risk and rate of visual field progression in treated glaucoma patients. , 2012, Investigative ophthalmology & visual science.

[6]  M. Vassallo,et al.  EEG and fMRI studies of the effects of stimulus properties on the control of attention , 2015 .

[7]  Guillaume A. Rousselet,et al.  Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game , 2011, Front. Psychology.

[8]  R. Walsa.  [Hans Berger (1873-1941)]. , 1991, Orvosi hetilap.

[9]  R. Makuch,et al.  Hierarchical linear modeling: an overview. , 2007, Child abuse & neglect.

[10]  G. Rousselet,et al.  Parametric study of EEG sensitivity to phase noise during face processing , 2008, BMC Neuroscience.

[11]  Kazimierz Karbowski,et al.  Hans Berger (1873–1941) , 2002, Journal of Neurology.

[12]  William D. Marslen-Wilson,et al.  The time course of visual word recognition as revealed by linear regression analysis of ERP data , 2006, NeuroImage.

[13]  Guillaume A. Rousselet,et al.  LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data , 2011, Comput. Intell. Neurosci..

[14]  Jeroen K. Vermunt,et al.  Incidence of Missing Item Scores in Personality Measurement, and Simple Item-Score Imputation , 2010 .

[15]  Haruhiko Nishimura,et al.  Approaches of Phase Lag Index to EEG Signals in Alzheimer’s Disease from Complex Network Analysis , 2016 .