Harmonic Amplitude Summation for Frequency-tagging Analysis

Retter, Talia L.; Rossion, Bruno; Schiltz, Christine

doi:10.1162/jocn_a_01763

Cited by 44 publications

(53 citation statements)

References 173 publications

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“…Additionally, we analysed the sum across all significant harmonics (Retter et al, 2021) to test whether possible group differences were specific to the first harmonic (i.e., the stimulation frequency) or also present at integer multiples of the stimulation frequency (i.e., higher harmonics). The full details and results of this analysis can be found in the Supporting Information.…”

Section: Methodsmentioning

confidence: 99%

Developmental experiences alter the temporal processing characteristics of the visual cortex: Evidence from deaf and hearing native signers

Stroh

Grin

Rösler

et al. 2022

Eur J of Neuroscience

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To date, the extent to which early experience shapes the functional characteristics of neural circuits is still a matter of debate. In the present study, we tested whether congenital deafness and/or the acquisition of a sign language alter the temporal processing characteristics of the visual system. Moreover, we investigated whether, assuming cross‐modal plasticity in deaf individuals, the temporal processing characteristics of possibly reorganised auditory areas resemble those of the visual cortex. Steady‐state visual evoked potentials (SSVEPs) were recorded in congenitally deaf native signers, hearing native signers, and hearing nonsigners. The luminance of the visual stimuli was periodically modulated at 12, 21, and 40 Hz. For hearing nonsigners, the optimal driving rate was 12 Hz. By contrast, for the group of hearing signers, the optimal driving rate was 12 and 21 Hz, whereas for the group of deaf signers, the optimal driving rate was 21 Hz. We did not observe evidence for cross‐modal recruitment of auditory cortex in the group of deaf signers. These results suggest a higher preferred neural processing rate as a consequence of the acquisition of a sign language.

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Section: Methodsmentioning

confidence: 99%

Developmental experiences alter the temporal processing characteristics of the visual cortex: Evidence from deaf and hearing native signers

Stroh

Grin

Rösler

et al. 2022

Eur J of Neuroscience

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“…This procedure identified 3 relevant harmonics: 2.4 Hz (F), 4.8 Hz (2F), and 7.2 Hz (3F). For each of these 3 harmonics, we then calculated the baseline-subtracted amplitudes for each participant, condition, and electrode using the same baseline as for the z-scores and these amplitudes were summed to quantify the brain response (Retter et al, 2021; Retter & Rossion, 2016).…”

Section: Methodsmentioning

confidence: 99%

“…In the non-scrambled condition, this means that it is the frequency at which the walker took a step with the same foot. Although we had no a-priori predictions regarding this response, we nevertheless analyzed it in a preregistered secondary analysis, using the same procedure as above, but excluding those harmonics that overlapped with the 2.4 Hz response, as recommended by Retter et al (2021). The analysis of the 1.2 Hz response revealed 2 harmonics with z > 2.32, at 3.6 Hz (2F) and 6 Hz (3F).…”

Section: Methodsmentioning

confidence: 99%

EEG Movement Tagging Objectively Measures Biological Motion Perception

Cracco

Oomen

Papeo

et al. 2022

Preprint

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Various neuroimaging techniques have been developed to study the brain processes underlying biological motion perception. However, brain activity during movement perception captures a multitude of components. As a result, it is often unclear which components reflect the processing of the movement and which components reflect other, secondary processes that build on movement processing (e.g., inferring the agent’s mood or identity). To address this issue, we developed and validated a new approach that objectively defines the brain response associated with biological motion perception. Specifically, we showed 30 male and female adults a point-light walker moving at a pace of 2.4 Hz and used EEG frequency tagging to measure the brain response coupled to that pace. The results revealed a reliable response at the walking frequency that was reduced by two manipulations known to disrupt biological motion perception, namely phase scrambling and inversion. Interestingly, we also identified a brain response at half the walking frequency (i.e., 1.2 Hz), corresponding to the rate at which the individual dots repeated their trajectory. In contrast to the 2.4 Hz response, the response at 1.2 Hz was increased for scrambled walkers. These results indicate that frequency tagging can be used to measure the visual processing of biological movements and can dissociate between the global (2.4 Hz) and local (1.2 Hz) processes involved in biological motion perception, at different frequencies of the brain signal.

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“…Frequency tagged brain responses are often not only evident at the frequency of stimulation ( F ) but also across its higher harmonics (2 F , 3 F , etc.). Therefore, to accurately capture the evoked brain response, the relevant harmonics should be summed (Retter et al, 2021; Retter & Rossion, 2016). Based on the previous study (Oomen et al, 2022), which was in turn based on visual inspection of pilot data, we included the first 8 harmonics (1.66 Hz, 3.33 Hz, 5.00 Hz, 6.66 Hz, 8.33 Hz, 10.00 Hz, 11.66 Hz, 13.33 Hz).…”

Section: Methodsmentioning

confidence: 99%

EEG frequency tagging evidence of intact social interaction recognition in adults with autism

Oomen

Cracco

Braß

et al. 2022

Preprint

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To explain the social difficulties in autism, a large amount of research has been conducted on the neural correlates of social perception. However, this research has mostly used basic social stimuli (e.g. eyes, faces, hands, single agent), not resembling the complexity of what we encounter in our daily social lives, and as such, the situations people with autism experience difficulties in. A more complex stimulus that we do come across often and is also highly relevant for social functioning is that of third-party social interactions. Here, we investigated if individuals with and without autism process third-party social interactions differently. More specifically, we measured neural responses to social scenes depicting either social interaction or not with an electroencephalogram (EEG) frequency tagging task and compared these responses between adults with and without autism (N = 61). The results revealed an enhanced response to social scenes with interaction, replicating previous findings in a neurotypical sample (Oomen et al., 2022). Crucially, this effect was found in both groups with no difference between them. This suggest that social interaction recognition is not anomalous in adults with autism and cannot explain the social difficulties adults with autism experience.

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Harmonic Amplitude Summation for Frequency-tagging Analysis

Cited by 44 publications

References 173 publications

Developmental experiences alter the temporal processing characteristics of the visual cortex: Evidence from deaf and hearing native signers

Developmental experiences alter the temporal processing characteristics of the visual cortex: Evidence from deaf and hearing native signers

EEG Movement Tagging Objectively Measures Biological Motion Perception

EEG frequency tagging evidence of intact social interaction recognition in adults with autism

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