Stability of Auditory Steady State Responses Over Time

Eeckhoutte, Maaike Van; Luke, Robert H.; Wouters, Jan; Francart, Tom

doi:10.1097/aud.0000000000000483

Cited by 14 publications

(25 citation statements)

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“…Present a subtitled movie with the sound off when auditory entrainment is the topic of the experiment. NOTE: Presentation of a silent movie allows deflection of attention from the acoustic stimulation while maintaining arousal level 25 .…”

Section: Eeg Acquisition and Pre-processingmentioning

confidence: 99%

“…3. Present stimuli longer than 90 s, as have been done to investigate the time evolution of SSVEPs and ASSR in both humans and animal models 21,22,25,26 . NOTE: Present stimuli shorter in duration if a pilot study has been performed.…”

Section: Eeg Acquisition and Pre-processingmentioning

confidence: 99%

“…Analyzing the time evolution of the 40 Hz ASSR in humans, Van Eeckhoutte et al 25 observed a significant but small decrease in the response amplitude over time (around -0.0002 µV/s based on the group analysis, when assuming a linear decrease over time). Consequently, these authors concluded that the 40 Hz ASSR in humans does not adapt to the stimulation.…”

Section: Introductionmentioning

confidence: 99%

“…The dynamics of the neural entrainment can be analyzed using other approaches, such as narrowband filtering single-trial measurements around the frequency of interest and computing the envelope of the power signal using low-pass filtering 25 and the Hilbert transformation 27 . Compared to these methodologies, the column-wise averaging of epochs allows computing steady-state parameters based on signals with the higher signalto-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, stationary responses are not needed to be assumed when a Kalman filtering approach is used to estimate the ASSR amplitude 30 . Nevertheless, only one study has analyzed the time evolution of ASSRs using Kalman filtering 25 . The conclusion of the study is that the 40-Hz ASSR amplitude is stable over the stimulation interval.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Prado

Otero

Martı́nez-Montes

et al. 2019

JoVE

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Neural entrainment refers to the synchronization of neural activity to the periodicity of sensory stimuli. This synchronization defines the generation of steady-state evoked responses (i.e., oscillations in the electroencephalogram phase-locked to the driving stimuli). The classic interpretation of the amplitude of the steady-state evoked responses assumes a stereotypical time-invariant neural response plus random background fluctuations, such that averaging over repeated presentations of the stimulus recovers the stereotypical response. This approach ignores the dynamics of the steady-state, as in the case of the adaptation elicited by prolonged exposures to the stimulus. To analyze the dynamics of steady-state responses, it can be assumed that the time evolution of the response amplitude is the same in different stimulation runs separated by sufficiently long breaks. Based on this assumption, a method to characterize the time evolution of steady-state responses is presented. A sufficiently large number of recordings are acquired in response to the same experimental condition. Experimental runs (recordings) are column-wise averaged (i.e., runs are averaged but epoch within recordings are not averaged with the preceding segments). The columnwise averaging allows analysis of steady-state responses in recordings with remarkably high signal-to-noise ratios. Therefore, the averaged signal provides an accurate representation of the time evolution of the steady-state response, which can be analyzed in both the time and frequency domains. In this study, a detailed description of the method is provided, using steady-state visually evoked potentials as an example of a response. Advantages and caveats are evaluated based on a comparison with single-trial methods designed to analyze neural entrainment.

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Section: Eeg Acquisition and Pre-processingmentioning

confidence: 99%