2022
DOI: 10.1017/s1366728922000451
|View full text |Cite|
|
Sign up to set email alerts
|

Riding the (brain) waves! Using neural oscillations to inform bilingualism research

Abstract: The study of the brains’ oscillatory activity has been a standard technique to gain insights into human neurocognition for a relatively long time. However, as a complementary analysis to ERPs, only very recently has it been utilized to study bilingualism and its neural underpinnings. Here, we provide a theoretical and methodological starter for scientists in the (psycho)linguistics and neurocognition of bilingualism field(s) to understand the bases and applications of this analytical tool. Towards this goal, w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
4
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 12 publications
(4 citation statements)
references
References 212 publications
0
4
0
Order By: Relevance
“…Future studies may also want to consider alternative methods of speech artifact correction to increase generalizability (Abbasi et al, 2021). Finally, researchers investigating production of emotional language in bilinguals may want to use more naturalistic stimuli for both emotional cues (e.g., faces, sounds) and targets (e.g., sentences, narratives) as well as look into different EEG metrics (see Janssen et al, 2020 for temporal dynamics of independent components; Rossi et al, 2022 for brain oscillations).…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…Future studies may also want to consider alternative methods of speech artifact correction to increase generalizability (Abbasi et al, 2021). Finally, researchers investigating production of emotional language in bilinguals may want to use more naturalistic stimuli for both emotional cues (e.g., faces, sounds) and targets (e.g., sentences, narratives) as well as look into different EEG metrics (see Janssen et al, 2020 for temporal dynamics of independent components; Rossi et al, 2022 for brain oscillations).…”
Section: Limitations and Future Directionsmentioning
confidence: 99%
“…Time frequency representations index the ongoing oscillatory dynamics of the EEG signal and reflect the (de)synchrony of functional neural networks. In these analyses, power, or activity, in different frequency bands (delta, theta, alpha, beta, and gamma) in response to stimuli is of interest; power changes in each frequency band are associated with specific cognitive processes (for more details and application to L2 research, see Rossi et al., 2023). For example, testing English late L2 learners of Spanish and Spanish native speakers, Rossi and Prystauka (2020) investigated neural oscillatory activity associated with the processing of Spanish gender and number (expressed via agreement on clitic pronouns), which is a structure unique to the learners’ L2 Spanish and does not occur in English.…”
Section: Electrophysiological Studies: Current Status and Future Dire...mentioning
confidence: 99%
“…This makes it an excellent tool for understanding the neuronal basis of higher-order cognitive processes, such as, but not limited to, language processing. Although there are several types of analyses one can do with EEG to study bilingual language processing and related neurocognition (see Rossi et al, 2022), the most common in psycholinguistic research is to analyze the EEG signal in the time domain as Event-Related Potentials (ERPs) in order to extract neural responses to a specific event (stimuli) by averaging the time-locked signal over multiple experimental trials (Luck and Kappenman, 2011). ERPs are thus represented as waveform components of the signal at a precise time in response to a given stimulus.…”
mentioning
confidence: 99%