The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A positron emission tomography study of the neural basis of informational and energetic masking effects in speech perception
Abstract
Positron emission tomography (PET) was used to investigate the neural basis of the comprehension of speech in unmodulated noise (“energetic” masking, dominated by effects at the auditory periphery), and when presented with another speaker (“informational” masking, dominated by more central effects). Each type of signal was presented at four different signal-to-noise ratios (SNRs) (+3, 0, −3, −6 dB for the speech-in-speech, +6, +3, 0, −3 dB for the speech-in-noise), with listeners instructed to listen for meaning to the target speaker. Consistent with behavioral studies, there was SNR-dependent activation associated with the comprehension of speech in noise, with no SNR-dependent activity for the comprehension of speech-in-speech (at low or negative SNRs). There was, in addition, activation in bilateral superior temporal gyri which was associated with the informational masking condition. The extent to which this activation of classical “speech” areas of the temporal lobes might delineate the neural basis of the informational masking is considered, as is the relationship of these findings to the interfering effects of unattended speech and sound on more explicit working memory tasks. This study is a novel demonstration of candidate neural systems involved in the perception of speech in noisy environments, and of the processing of multiple speakers in the dorso-lateral temporal lobes.
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Cites
Processing of low-probability sounds by cortical neurons
Ulanovsky, N., Las, L., & Nelken, I. (2003) · Nature Neuroscience · doi:10.1038/nn1032 · Cited by 1,049
The cocktail party phenomenon revisited: The importance of working memory capacity
Conway, A. R. A., Cowan, N., & Bunting, M. F. (2001) · Psychonomic Bulletin & Review · doi:10.3758/bf03196169 · Cited by 875
Separate neural subsystems within ‘Wernicke's area’
Wise, R. J. S., Scott, S. K., Blank, S. C., Mummery, C. J., Murphy, K., & Warburton, E. A. (2001) · Brain · doi:10.1093/brain/124.1.83 · Cited by 572
Self-citationCoull, J. T., Frith, C. D., Frackowiak, R. S. J., & Grasby, P. M. (1996) · Neuropsychologia · doi:10.1016/0028-3932(96)00029-2 · Cited by 566
Paus, T., Zatorre, R. J., Hofle, N., Caramanos, Z., Gotman, J., Petrides, M., & Evans, A. C. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.3.392 · Cited by 514
The role of segmentation in phonological processing: an fMRI investigation
Burton, M. W., Small, S. L., & Blumstein, S. E. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900562309 · Cited by 378
Cited by
Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159
Emergence of neural encoding of auditory objects while listening to competing speakers
Ding, N., & Simon, J. Z. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1205381109 · Cited by 835
Speech recognition in adverse conditions: A review.
Mattys, S. L., Davis, M. H., Bradlow, A. R., & Scott, S. K. (2012) · Language and Cognitive Processes · doi:10.1080/01690965.2012.705006 · Cited by 809
Self-citationHow Can Hearing Loss Cause Dementia?
Griffiths, T. D., Lad, M., Kumar, S., Holmes, E., McMurray, B., Maguire, E. A., Billig, A. J., & Sedley, W. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.003 · Cited by 369
Obleser, J., Wise, R. J. S., Alex Dresner, M., & Scott, S. K. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4663-06.2007 · Cited by 354
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Metadata
- Authors
- Scott, S. K., Rosen, S., Wickham, L., & Wise, R. J. S.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2004-01-30
- Volume
- 115
- Issue
- 2
- Pages
- 813-821
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2069256376
- Cited by
- 163
- References
- 6
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- closed
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