ArticleNeuroImage2021
Pre- and post-target cortical processes predict speech-in-noise performance.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- Individual Noise-Tolerance Profiles and Neural Signal-to-Noise Ratio: Insights into Predicting Speech-in-Noise Performance and Noise-Reduction Outcomes.Audiology research · 2025Article
- Effect of digital noise reduction processing on subcortical speech encoding and relationship to behavioral outcomes.Scientific reports · 2025Article
- The neural activity of auditory conscious perception.NeuroImage · 2025Article
- Effect of digital noise-reduction processing on subcortical speech encoding and relationship to behavioral outcomes.bioRxiv : the preprint server for biology · 2024Article
- The Effect of Simultaneous Contralateral White Noise Masking on Cortical Auditory Evoked Potentials Elicited by Speech Stimuli.International archives of otorhinolaryngology · 2024Article
- Article
- Neural Mechanisms Related to the Enhanced Auditory Selective Attention Following Neurofeedback Training: Focusing on Cortical Oscillations.Applied sciences (Basel, Switzerland) · 2023Article
- Differences in neural encoding of speech in noise between cochlear implant users with and without preserved acoustic hearing.Hearing research · 2023Article
- The impact of speech type on listening effort and intelligibility for native and non-native listeners.Frontiers in neuroscience · 2023Article
- One Size Does Not Fit All: Examining the Effects of Working Memory Capacity on Spoken Word Recognition in Older Adults Using Eye Tracking.Frontiers in psychology · 2022Article
- Validation of the Iowa Test of Consonant Perception.The Journal of the Acoustical Society of America · 2021Article
- Modulation masking and fine structure shape neural envelope coding to predict speech intelligibility across diverse listening conditions.The Journal of the Acoustical Society of America · 2021Article
- Gradient activation of speech categories facilitates listeners' recovery from lexical garden paths, but not perception of speech-in-noise.Journal of experimental psychology. Human perception and performance · 2021Article
- Neurofeedback Training of Auditory Selective Attention Enhances Speech-In-Noise Perception.Frontiers in human neuroscience · 2021Article
- Linking Attentional Modulation to Auditory Attention Decoding: Using Colocated Stimuli With a Fixed Temporal Structure.Trends in hearingArticle
- Strength of Attentional Modulation on Cortical Auditory Evoked Responses Correlates with Speech-in-Noise Performance in Bimodal Cochlear Implant Users.Trends in hearingArticle
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Understanding speech in noise (SiN) is a complex task that recruits multiple cortical subsystems. There is a variance in individuals' ability to understand SiN that cannot be explained by simple hearing profiles, which suggests that central factors may underlie the variance in SiN ability. Here, we elucidated a few cortical functions involved during a SiN task and their contributions to individual variance using both within- and across-subject approaches. Through our within-subject analysis of source-localized electroencephalography, we investigated how acoustic signal-to-noise ratio (SNR) alters cortical evoked responses to a target word across the speech recognition areas, finding stronger responses in left supramarginal gyrus (SMG, BA40 the dorsal lexicon area) with quieter noise. Through an individual differences approach, we found that listeners show different neural sensitivity to the background noise and target speech, reflected in the amplitude ratio of earlier auditory-cortical responses to speech and noise, named as an internal SNR. Listeners with better internal SNR showed better SiN performance. Further, we found that the post-speech time SMG activity explains a further amount of variance in SiN performance that is not accounted for by internal SNR. This result demonstrates that at least two cortical processes contribute to SiN performance independently: pre-target time processing to attenuate neural representation of background noise and post-target time processing to extract information from speech sounds.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.