Neural tracking of continuous speech in adverse acoustic conditions among healthy adults with normal hearing and hearing loss: A systematic review
Notice bibliographique
Résumé
The study of neural speech tracking (NST) has gained increasing attention in the field of auditory neuroscience in recent years. However, its contribution to speech perception in noise (SPiN), especially regarding aging and hearing loss, has yet to be fully explored. This systematic review examined NST in adults with and without hearing loss, focusing on its modulation by age, hearing impairment, and adverse acoustic conditions, as well as its relationship with behavioral SPiN performance. A systematic literature search identified studies using electroencephalography (EEG) or magnetoencephalography (MEG) to investigate NST in continuous speech processing under adverse acoustic conditions. Studies included participants with and without hearing loss, excluding those with neurological disorders. Various NST methods, including forward and backward modeling, coherence, and cross-correlation, were examined. Fifty-four studies met the inclusion criteria. Most studies focused on young adults, with fewer studies including older adults or individuals with hearing loss. Findings suggest that older adults exhibit increased NST compared to younger adults, potentially reflecting compensatory mechanisms for auditory processing declines. Similarly, hearing impairment was generally associated with enhanced NST, likely due to altered neural encoding and increased reliance on cognitive resources. The impact of adverse acoustic conditions, as reflected by the signal-to-noise ratio (SNR), on NST was predominantly negative, with NST decreasing as noise levels increased. However, some studies suggested a non-linear relationship, with NST peaking at intermediate SNRs. Furthermore, most studies reported a positive correlation between NST and SPiN performance, typically observed across individuals or conditions within homogeneous groups or pooled samples. While stronger tracking was generally associated with better behavioral outcomes, this relationship does not imply that higher NST always corresponds to better performance across different populations. Age and hearing loss appear to modulate NST, likely through both neural compensation and auditory processing adaptations. The complex effects of SNR on NST highlight the need for additional research to better understand its underlying mechanisms. Future studies should delve deeper into the interplay between aging, cognition, and auditory deficits in shaping NST, offering a more comprehensive understanding of speech processing in challenging acoustic environments.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».