Neurophysiological investigation of phonological input: Aging effects and development of normative data

Aerts, Annelies; Mierlo, Pieter van; Hartsuiker, Robert J.; Hallez, Hans; Santens, Patrick; Letter, Miet De

doi:10.1016/j.bandl.2013.02.010

Cited by 30 publications

(70 citation statements)

References 57 publications

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“…Both men and women elicited larger neurophysiological responses to pseudowords in the N400 time window, demonstrating a pseudoword effect in accordance with earlier studies (Friedrich et al, 2006;Sinai&Pratt,2002;Soaresetal.,1991)and ourpreviousaging study (Aerts et al, 2013). However, the pseudoword effect was already established earlier within the N100 time window, continued within the P200 potential and eventually ended within the longer-lasting N400 time window.…”

Section: Auditory Word Recognitionmentioning

confidence: 77%

“…Forty-four healthy participants (20 men, 24 women) were randomly selected from the original sample of 71 participants of our previous study (Aerts et al, 2013), to obtain a more equal distribution of men and women and, considering the previously established aging influences, an equivalent age distribution in men (M: 45.60 ± 13.67) and women (M: 44.46 ± 13.76), t(42)\ 1. All participants investigated were right-handed, as verified with the Dutch Handedness Inventory (Van Strien, 1992), and had Dutch as native language.…”

Section: Methods Participantsmentioning

confidence: 99%

“…The N400 amplitude is generally linked to expectation, becoming smaller when information is more expected and thus easier to process (Kutas & Federmeier, 2011). With respect to the pseudoword effect, it is potentially related to an enhanced search for lexical representations and the amount of attentional load (Aerts et al, 2013;Friedrich, Eulitz, & Lahiri, 2006;Garagnani, Wennekers, & Pulvermüller, 2008;Giaquinto et al, 2007). The N400 has been investigated with respect to sex effects in both lexical and semantic contexts and has yielded mixed results.…”

Section: Introductionmentioning

confidence: 96%

“…We questioned whether men and/or women demonstrate a specific difference between three phonemic contrasts (PoA, voicing, and MoA) and attentional load during PD and responses to real words and pseudowords during WR. Based on these results, it could be determined whether sex should be considered as an influential factor for normative ERP data, as was the case for age (Aerts et al, 2013). If so, previously developed normative data (Aerts et al, 2013) might have to be refined to account for differences between men and women.…”

Section: Introductionmentioning

confidence: 99%

“…Based on these results, it could be determined whether sex should be considered as an influential factor for normative ERP data, as was the case for age (Aerts et al, 2013). If so, previously developed normative data (Aerts et al, 2013) might have to be refined to account for differences between men and women.…”

Section: Introductionmentioning

confidence: 99%

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Sex Differences in Neurophysiological Activation Patterns During Phonological Input Processing: An Influencing Factor for Normative Data

et al. 2015

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In the context of neurophysiological normative data, it has been established that aging has a significant impact on neurophysiological correlates of auditory phonological input processes, such as phoneme discrimination (PD) and word recognition (WR). Besides age, sex is another demographic factor that influences several language processes. We aimed to disentangle whether sex has a similar effect on PD and WR. Event-related potentials (ERPs) were recorded in 20 men and 24 women. During PD, three phonemic contrasts (place and manner of articulation and voicing) were compared using the attentive P300 and pre-attentive Mismatch Negativity. To investigate WR, real words were contrasted with pseudowords in a pre-attentive oddball task. Women demonstrated a larger sensitivity to spectrotemporal differences, as evidenced by larger P300 responses to the place of articulation (PoA) contrast and larger P300 and MMN responses than men in PoA-based PD. Men did not display such sensitivity. Attention played an important role, considering that women needed more attentional resources to differentiate between PoA and the other phonemic contrasts. During WR, pseudowords evoked larger amplitudes already 100 ms post-stimulus independent of sex. However, women had decreased P200 latencies, but longer N400 latencies in response to pseudowords, whereas men showed increased N400 latencies compared to women in response to real words. The current results demonstrate significant sex-related influences on phonological input processes. Therefore, existing neurophysiological normative data for age should be complemented for the factor sex.

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Section: Auditory Word Recognitionmentioning

confidence: 77%

Section: Methods Participantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sex Differences in Neurophysiological Activation Patterns During Phonological Input Processing: An Influencing Factor for Normative Data

et al. 2015

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Electrophysiological Changes in Patients with Post-stroke Aphasia: A Systematic Review

et al. 2023

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Single-trial ERP Quantification Using Neural Networks

et al. 2023

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Traditional approaches to quantify components in event-related potentials (ERPs) are based on averaging EEG responses. However, this method ignores the trial-to-trial variability in the component’s latency, resulting in a smeared version of the component and underestimates of its amplitude. Different techniques to quantify ERP components in single trials have therefore been described in literature. In this study, two approaches based on neural networks are proposed and their performance was compared with other techniques using simulated data and two experimental datasets. On the simulated dataset, the neural networks outperformed other techniques for most signal-to-noise ratios and resulted in better estimates of the topography and shape of the ERP component. In the first experimental dataset, the highest correlation values between the estimated latencies of the P300 component and the reaction times were obtained using the neural networks. In the second dataset, the single-trial latency estimation techniques showed an amplitude reduction of the N400 effect with age and ascertained this effect could not be attributed to differences in latency variability. These results illustrate the applicability and the added value of neural networks for the quantification of ERP components in individual trials. A limitation, however, is that simulated data is needed to train the neural networks, which can be difficult when the ERP components to be found are not known a priori. Nevertheless, the neural networks-based approaches offer more information on the variability of the timing of the component and result in better estimates of the shape and topography of ERP components.

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Neurophysiological investigation of phonological input: Aging effects and development of normative data

Cited by 30 publications

References 57 publications

Sex Differences in Neurophysiological Activation Patterns During Phonological Input Processing: An Influencing Factor for Normative Data

Sex Differences in Neurophysiological Activation Patterns During Phonological Input Processing: An Influencing Factor for Normative Data

Electrophysiological Changes in Patients with Post-stroke Aphasia: A Systematic Review

Single-trial ERP Quantification Using Neural Networks

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