» Articles » PMID: 23606900

Continuous- and Discrete-time Stimulus Sequences for High Stimulus Rate Paradigm in Evoked Potential Studies

Overview
Publisher Hindawi
Date 2013 Apr 23
PMID 23606900
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

To obtain reliable transient auditory evoked potentials (AEPs) from EEGs recorded using high stimulus rate (HSR) paradigm, it is critical to design the stimulus sequences of appropriate frequency properties. Traditionally, the individual stimulus events in a stimulus sequence occur only at discrete time points dependent on the sampling frequency of the recording system and the duration of stimulus sequence. This dependency likely causes the implementation of suboptimal stimulus sequences, sacrificing the reliability of resulting AEPs. In this paper, we explicate the use of continuous-time stimulus sequence for HSR paradigm, which is independent of the discrete electroencephalogram (EEG) recording system. We employ simulation studies to examine the applicability of the continuous-time stimulus sequences and the impacts of sampling frequency on AEPs in traditional studies using discrete-time design. Results from these studies show that the continuous-time sequences can offer better frequency properties and improve the reliability of recovered AEPs. Furthermore, we find that the errors in the recovered AEPs depend critically on the sampling frequencies of experimental systems, and their relationship can be fitted using a reciprocal function. As such, our study contributes to the literature by demonstrating the applicability and advantages of continuous-time stimulus sequences for HSR paradigm and by revealing the relationship between the reliability of AEPs and sampling frequencies of the experimental systems when discrete-time stimulus sequences are used in traditional manner for the HSR paradigm.

Citing Articles

[Progress of generation mechanisms of auditory steady-state response].

Tan X, Fu Q, Wang T Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018; 34(3):461-464.

PMID: 29745515 PMC: 9935437. DOI: 10.7507/1001-5515.201607015.


Improved Transient Response Estimations in Predicting 40 Hz Auditory Steady-State Response Using Deconvolution Methods.

Tan X, Fu Q, Yuan H, Ding L, Wang T Front Neurosci. 2018; 11:697.

PMID: 29311778 PMC: 5732975. DOI: 10.3389/fnins.2017.00697.

References
1.
Ozdamar O, Bohorquez J . Signal-to-noise ratio and frequency analysis of continuous loop averaging deconvolution (CLAD) of overlapping evoked potentials. J Acoust Soc Am. 2006; 119(1):429-38. DOI: 10.1121/1.2133682. View

2.
Jewett D, Hart T, Larson-Prior L, Baird B, Olson M, Trumpis M . Human sensory-evoked responses differ coincident with either "fusion-memory" or "flash-memory", as shown by stimulus repetition-rate effects. BMC Neurosci. 2006; 7:18. PMC: 1483834. DOI: 10.1186/1471-2202-7-18. View

3.
Wang T, Ozdamar O, Bohorquez J, Shen Q, Cheour M . Wiener filter deconvolution of overlapping evoked potentials. J Neurosci Methods. 2006; 158(2):260-70. DOI: 10.1016/j.jneumeth.2006.05.023. View

4.
Pritchard W . The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram. Int J Neurosci. 1992; 66(1-2):119-29. DOI: 10.3109/00207459208999796. View

5.
McNeer R, Bohorquez J, Ozdamar O . Influence of auditory stimulation rates on evoked potentials during general anesthesia: relation between the transient auditory middle-latency response and the 40-Hz auditory steady state response. Anesthesiology. 2009; 110(5):1026-35. DOI: 10.1097/ALN.0b013e31819dad6f. View