Binaural Interaction Effects of 30–50 Hz Auditory Steady State Responses

Gransier, Robin; Wieringen, Astrid Van; Wouters, Jan

doi:10.1097/aud.0000000000000429

Cited by 25 publications

(39 citation statements)

References 49 publications

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“…Statistical comparisons showed significantly more cortical activity than subcortical activity for low modulation frequencies and more subcortical activity for high modulation frequencies (greater than 50 Hz). These results were in line with previous electrophysiological ASSR studies (Alaerts et al, 2009;Gransier et al, 2017;Herdman et al, 2002) and indicate the validity of the reconstructed subcortical activity.…”

Section: Assr Source Reconstruction Using the Mni Approachsupporting

confidence: 91%

“…It is expected that the relative activity of cortical and subcortical sources will change depending on the modulation frequency. Below 20 Hz the cortical sources show more activity than the sub-cortical ones, while for higher modulation frequencies the sub-cortical sources show higher activity (Giraud et al, 2000;Gransier et al, 2017;Liégeois-Chauvel et al, 2004;Wong and Gordon, 2009). In order to investigate this behavior for the MNI approach, we performed statistical comparisons between the activity of AC and MGB (as cortical and subcortical sources, respectively) in response to 4 and 80 Hz AM stimuli as a low and a high modulation frequency, respectively.…”

Section: Comparison Between Primary Sources: Cortical Versus Subcorticalmentioning

confidence: 99%

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Improving source modeling of auditory steady-state responses with frequency-specific brain maps

Farahani

Wouters

Wieringen

2019

Preprint

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Auditory steady-state responses (ASSRs) are evoked brain responses to modulated or repetitive acoustic stimuli. Due to a wide range of clinical and research applications, there is a great (clinical) interest to investigate the underlying neural generators of ASSRs. The cortical sources of ASSRs mostly are located in the auditory cortex (AC), although some studies avoiding prior assumptions regarding the number and location of the sources have also reported activity of sources outside of the AC. However, little is known about the number and location of these sources. In this study, we present a novel extension to minimum-norm imaging (MNI) which facilitates ASSR source reconstruction and provides a comprehensive and consistent picture of sources in response to low-as well as high modulation frequencies, monaurally presented to the left and right ears. Results demonstrate that the proposed MNI approach is successful in reconstructing sources located both within (primary) and outside (non-primary) of the AC. The locations of the non-primary sources are consistent with the literature. Primary sources are detected in every experimental condition, thereby corroborating the robustness of the approach. Moreover, we show that the MNI approach is capable of reconstructing the subcortical activities of ASSRs. In summary, the results indicate that the MNI approach outperforms the previously used method of group-ICA, in terms of detection of sources in the AC, reconstructing the subcortical activities and reducing computational load.

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Section: Assr Source Reconstruction Using the Mni Approachsupporting

confidence: 91%

Section: Comparison Between Primary Sources: Cortical Versus Subcorticalmentioning

confidence: 99%

Improving source modeling of auditory steady-state responses with frequency-specific brain maps

Farahani

Wouters

Wieringen

2019

Preprint

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“…where f m is the modulation frequency in Hz, f c is the carrier frequency in Hz, t is time in seconds, and m is the modulation depth, with a value from 0-1 (though hereafter expressed as a percentage, 100*m). The modulation frequencies were chosen as these produce robust steady state responses for auditory stimuli [19][20][21]25 . We chose not to compensate for overall stimulus power (as is often done for AM stimuli, e.g 38 .)…”

Section: Methodsmentioning

confidence: 99%

“…The remaining three conditions involved modulation at a second modulation frequency (35 Hz, F2), in order to isolate suppressive processes between the ears 25 . In the cross-monaural condition, F2 was presented to one ear as the signal, and the unmodulated carrier was presented to the other ear (F1 was not presented to either ear).…”

Section: Methodsmentioning

confidence: 99%

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Binaural summation of amplitude modulation involves weak interaural suppression

Baker

Vilidaitė

McClarnon

et al. 2020

Sci Rep

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The brain combines sounds from the two ears, but what is the algorithm used to achieve this summation of signals? Here we combine psychophysical amplitude modulation discrimination and steady-state electroencephalography (EEG) data to investigate the architecture of binaural combination for amplitude-modulated tones. Discrimination thresholds followed a 'dipper' shaped function of pedestal modulation depth, and were consistently lower for binaural than monaural presentation of modulated tones. The EEG responses were greater for binaural than monaural presentation of modulated tones, and when a masker was presented to one ear, it produced only weak suppression of the response to a signal presented to the other ear. Both data sets were well-fit by a computational model originally derived for visual signal combination, but with suppression between the two channels (ears) being much weaker than in binocular vision. We suggest that the distinct ecological constraints on vision and hearing can explain this difference, if it is assumed that the brain avoids over-representing sensory signals originating from a single object. These findings position our understanding of binaural summation in a broader context of work on sensory signal combination in the brain, and delineate the similarities and differences between vision and hearing.

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Brain mapping of auditory steady‐state responses: A broad view of cortical and subcortical sources

Farahani

Wouters

Wieringen

2020

Human Brain Mapping

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Auditory steady‐state responses (ASSRs) are evoked brain responses to modulated or repetitive acoustic stimuli. Investigating the underlying neural generators of ASSRs is important to gain in‐depth insight into the mechanisms of auditory temporal processing. The aim of this study is to reconstruct an extensive range of neural generators, that is, cortical and subcortical, as well as primary and non‐primary ones. This extensive overview of neural generators provides an appropriate basis for studying functional connectivity. To this end, a minimum‐norm imaging (MNI) technique is employed. We also present a novel extension to MNI which facilitates source analysis by quantifying the ASSR for each dipole. Results demonstrate that the proposed MNI approach is successful in reconstructing sources located both within (primary) and outside (non‐primary) of the auditory cortex (AC). Primary sources are detected in different stimulation conditions (four modulation frequencies and two sides of stimulation), thereby demonstrating the robustness of the approach. This study is one of the first investigations to identify non‐primary sources. Moreover, we show that the MNI approach is also capable of reconstructing the subcortical activities of ASSRs. Finally, the results obtained using the MNI approach outperform the group‐independent component analysis method on the same data, in terms of detection of sources in the AC, reconstructing the subcortical activities and reducing computational load.

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Binaural Interaction Effects of 30–50 Hz Auditory Steady State Responses

Cited by 25 publications

References 49 publications

Improving source modeling of auditory steady-state responses with frequency-specific brain maps

Improving source modeling of auditory steady-state responses with frequency-specific brain maps

Binaural summation of amplitude modulation involves weak interaural suppression

Brain mapping of auditory steady‐state responses: A broad view of cortical and subcortical sources

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