Permutation-Based Significance Tests for Multiharmonic Steady-State Evoked Potentials

Author

Heinrich, Sven P.

Author_Institution

Dept. of Ophthalmology, Univ. of Freiburg, Freiburg

Volume

56

Issue

2

fYear

2009

Firstpage

534

Lastpage

537

Abstract

Sensitivity and specificity of permutation tests for the detection of multiharmonic responses in steady-state evoked potentials were assessed using simulated responses embedded in real and artificial EEG noise. Different statistics may serve as input for the permutation algorithm. Among those tested, the sum of magnitudes of harmonics performed best.

Keywords

Gaussian noise; bioelectric potentials; electroencephalography; harmonic analysis; statistical analysis; EEG noise; multiharmonic steady-state evoked potentials; permutation; significance tests; Brain modeling; Distributed computing; Electroencephalography; Frequency domain analysis; Harmonic analysis; Power harmonic filters; Statistical analysis; Statistical distributions; Steady-state; Testing; Time domain analysis; Evoked potential; harmonic analysis; objective response detection; permutation test; significance; steady-state response; Acoustics; Computer Simulation; Electroencephalography; Evoked Potentials; Humans; Models, Neurological; Monte Carlo Method; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2008.2006021

Filename

4637873