ArticleBrain topography2021
Microstate ERP Analyses to Pinpoint the Articulatory Onset in Speech Production.
Article in Brain topography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Detecting electrophysiological alterations in psychiatric disorders through event-related microstates: a systematic review.Frontiers in psychiatry · 2025Pooled it
- Phase synchronization modes are associated with heterogeneous social orienting in children and adolescents with autism.Molecular autism · 2026Article
- A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy.Scientific data · 2026Article
- Mu rhythm motor-auditory delay in imagined speech mirrors overt speech timing.Scientific reports · 2026Article
- EEG Microstates in Social and Affective Neuroscience.Brain topography · 2024Review
- An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG.NPJ digital medicine · 2024Article
- The characteristics and reproducibility of motor speech functional neuroimaging in healthy controls.Frontiers in human neuroscience · 2024Article
- Article
- Test-retest reliability analysis of resting-state EEG measures and their association with long-term memory in children and adults.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of electroencephalography (EEG) to study overt speech production has increased substantially in the past 15 years and the alignment of evoked potential (ERPs) on the response onset has become an extremely useful method to target "latest" stages of speech production. Yet, response-locked ERPs raise a methodological issue: on which event should the point of alignment be placed? Response-locked ERPs are usually aligned to the vocal (acoustic) onset, although it is well known that articulatory movements may start up to a hundred milliseconds prior to the acoustic onset and that this "articulatory onset to acoustic onset interval" (AAI) depends on the phoneme properties. Given the previously reported difficulties to measure the AAI, the purpose of this study was to determine if the AAI could be reliably detected with EEG-microstates. High-density EEG was recorded during delayed speech production of monosyllabic pseudowords with four different onset consonants. Whereas the acoustic response onsets varied depending on the onset consonant, the response-locked spatiotemporal EEG analysis revealed a clear asynchrony of the same sequence of microstates across onset consonants. A specific microstate, the latest observed in the ERPs locked to the vocal onset, presented longer duration for phonemes with longer acoustic response onsets. Converging evidences seemed to confirm that this microstate may be related to the articulatory onset of motor execution: its scalp topography corresponded to those previously associated with muscle activity and source localization highlighted the involvement of motor areas. Finally, the analyses on the duration of such microstate in single trials further fit with the AAI intervals for specific phonemes reported in previous studies. These results thus suggest that a particular ERP-microstate is a reliable index of articulation onset and of the AAI.
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