AUTHOR=Real Ruben G. L. , Kotchoubey Boris , Kübler Andrea 

TITLE=Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data

JOURNAL=Frontiers in Neuroscience

VOLUME=8

YEAR=2014

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2014.00279

DOI=10.3389/fnins.2014.00279

ISSN=1662-453X

ABSTRACT=<p>This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (<italic>t</italic>-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the <italic>t</italic>-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the <italic>t</italic>-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the <italic>t</italic>-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The <italic>t</italic>-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings.</p>