Neural Activity during Story Listening Is Synchronized across Individuals Despite Acoustic Masking

Journal of Cognitive Neuroscience, Journal Year: 2022, Volume and Issue: 34(6), P. 933 - 950

Published: Jan. 1, 2022

Abstract Older people with hearing problems often experience difficulties understanding speech in the presence of background sound. As a result, they may disengage social situations, which has been associated negative psychosocial health outcomes. Measuring listening (dis)engagement during challenging situations received little attention thus far. We recruit young, normal-hearing human adults (both sexes) and investigate how intelligibility engagement naturalistic story is affected by level acoustic masking (12-talker babble) at different signal-to-noise ratios (SNRs). In , we observed that word-report scores were above 80% for all but lowest SNR (−3 dB SNR) tested, performance dropped to 54%. calculated intersubject correlation (ISC) using EEG data identify dynamic spatial patterns shared neural activity evoked stories. ISC used as measure participants' materials. Our results show was stable across SNRs, despite reduced intelligibility. Comparing demonstrated declined more strongly decreasing compared ISC. suggests individuals remain engaged missing words because noise. work provides potentially fruitful approach listener naturalistic, spoken stories be older impairment.

Language: Английский

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Invariant neural subspaces maintained by feedback modulation

eLife, Journal Year: 2022, Volume and Issue: 11

Published: April 20, 2022

Sensory systems reliably process incoming stimuli in spite of changes context. Most recent models accredit this context invariance to an extraction increasingly complex sensory features hierarchical feedforward networks. Here, we study how context-invariant representations can be established by feedback rather than processing. We show that neural networks modulated dynamically generate invariant representations. The required implemented as a slow and spatially diffuse gain modulation. is not present on the level individual neurons, but emerges only population level. Mechanistically, modulation reorients manifold activity thereby maintains subspace contextual variations. Our results highlight importance population-level analyses for understanding role flexible

Language: Английский

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Distracting linguistic information impairs neural tracking of attended speech

Current Research in Neurobiology, Journal Year: 2022, Volume and Issue: 3, P. 100043 - 100043

Published: Jan. 1, 2022

Listening to speech is difficult in noisy environments, and even harder when the interfering noise consists of intelligible as compared unintelligible sounds. This suggests that competing linguistic information interferes with neural processing target speech. Interference could either arise from a degradation representation speech, or increased distracting enters competition We tested these alternative hypotheses using magnetoencephalography (MEG) while participants listened clear presence noise-vocoded Crucially, distractors were initially but became more after short training session. Results showed comprehension was poorer than before training. The tracking delta range (1-4 Hz) reduced strength distractor. In contrast, signals not significantly modulated by intelligibility. These results suggest degrades carried oscillations.

Language: Английский

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Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech

IEEE Transactions on Biomedical Engineering, Journal Year: 2022, Volume and Issue: 70(1), P. 88 - 96

Published: June 21, 2022

The Temporal Response Function (TRF) is a linear model of neural activity time-locked to continuous stimuli, including speech. TRFs based on speech envelopes typically have distinct components that provided remarkable insights into the cortical processing However, current methods may lead less than reliable estimates single-subject TRF components. Here, we compare two established methods, in component estimation, and also propose novel algorithms utilize prior knowledge these components, bypassing full estimation.

Language: Английский

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A listening advantage for native speech is reflected by attention-related activity in auditory cortex

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 5, 2025

Language: Английский

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