Keyword search (4,164 papers available)

"noise" Keyword-tagged Publications:

Title Authors PubMed ID
1 Sound degradation type differentially affects neural indicators of cognitive workload and speech tracking Gagné N; Greenlaw KM; Coffey EBJ; 40412301
PSYCHOLOGY
2 Auditory working memory mechanisms mediating the relationship between musicianship and auditory stream segregation Liu M; Arseneau-Bruneau I; Farrés Franch M; Latorre ME; Samuels J; Issa E; Payumo A; Rahman N; Loureiro N; Leung TCM; Nave KM; von Handorf KM; Hoddinott JD; Coffey EBJ; Grahn J; Zatorre RJ; 40226491
PSYCHOLOGY
3 Investigating the relationship between physical, cognitive, and environmental factors of ergonomics with the prevalence of musculoskeletal disorders: A case study in a car-parts manufacturing industry Mokhtarinia H; Alimohammadi B; Sadeghi-Yarandi M; Torabi-Gudarzi S; Soltanzadeh A; Nikbakht N; 38489202
ENCS
4 Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN Valevicius D; Beck N; Kasper L; Boroday S; Bayer J; Rioux P; Caron B; Adalat R; Evans AC; Khalili-Mahani N; 37841811
ENCS
5 Decoding of Envelope vs. Fundamental Frequency During Complex Auditory Stream Segregation Greenlaw KM; Puschmann S; Coffey EBJ; 37215227
PSYCHOLOGY
6 Age of Acquisition Modulates Alpha Power During Bilingual Speech Comprehension in Noise Grant AM; Kousaie S; Coulter K; Gilbert AC; Baum SR; Gracco V; Titone D; Klein D; Phillips NA; 35548507
CRDH
7 Zoo soundscape: Daily variation of low-to-high-frequency sounds. Pelletier C, Weladji RB, Lazure L, Paré P 32735724
BIOLOGY
8 Speech perception in tinnitus is related to individual distress level - A neurophysiological study. Jagoda L, Giroud N, Neff P, Kegel A, Kleinjung T, Meyer M 30031353
PSYCHOLOGY
9 Language learning experience and mastering the challenges of perceiving speech in noise Kousaie S; Baum S; Phillips NA; Gracco V; Titone D; Chen JK; Chai XJ; Klein D; 31284145
PSYCHOLOGY
10 Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis. Lee K, Khoo HM, Fourcade C, Gotman J, Grova C 30695721
PERFORM

 

Title:Sound degradation type differentially affects neural indicators of cognitive workload and speech tracking
Authors:Gagné NGreenlaw KMCoffey EBJ
Link:https://pubmed.ncbi.nlm.nih.gov/40412301/
DOI:10.1016/j.heares.2025.109303
Publication:Hearing research
Keywords:Alpha bandCognitive workloadElectroencephalographyHearing-in-noiseNeural speech trackingSpeech perceptionTheta band
PMID:40412301 Category: Date Added:2025-05-25
Dept Affiliation: PSYCHOLOGY
1 Department of Psychology, Concordia University, Montréal, Canada; International Laboratory for Brain, Music and Sound Research (BRAMS); The Centre for Research on Brain, Language and Music (CRBLM). Electronic address: nathan.gagne@mail.concordia.ca.
2 Department of Psychology, Concordia University, Montréal, Canada; International Laboratory for Brain, Music and Sound Research (BRAMS); The Centre for Research on Brain, Language and Music (CRBLM).

Description:

Hearing-in-noise (HIN) is a challenging task that is essential to human functioning in social, vocational, and educational contexts. Successful speech perception in noisy settings is thought to rely in part on the brain's ability to enhance neural representations of attended speech. In everyday HIN situations, important features of speech (i.e., pitch, rhythm) may be degraded in addition to being embedded in noise. The impact of these differences in sound quality on experiences of workload and neural representations of speech will be important for informing our knowledge on the cognitive demands imposed by every-day difficult listening situations. We investigated HIN perception in 20 healthy adults using continuous speech that was either clean, spectrally degraded, or temporally degraded. Each sound condition was presented both with and without pink noise. Participants engaged in a selective listening task, in which a short-story was presented with varying sound quality, while EEG data were recorded. Neural correlates of cognitive workload were obtained using power levels of two frequency bands sensitive to task difficulty manipulations: alpha (8 - 12 Hz) and theta (4 - 8 Hz). Acoustic and linguistic features (speech envelope, word onsets, word surprisal) were decoded to reveal the degree to which speech was successfully encoded. Overall, alpha-theta power increased significantly when noise was added across sound conditions, while prediction accuracy of speech tracking decreased, suggesting that more effort was required to listen, and that the speech was not as successfully encoded. The temporal degradation also resulted in greater EEG power, possibly as a function of a compensatory mechanism to restore the important temporal information required for speech comprehension. Our findings suggest that measures related to cognitive workload and successful speech encoding are differentially affected by noise and sound degradations, which may help to inform future interventions that aim to mitigate these every-day challenges.





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