Hemispheric asymmetries in speech perception: sense, nonsense and modulations
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BACKGROUND: The well-established left hemisphere specialisation for language processing has long been claimed to be based on a low-level auditory specialization for specific acoustic features in speech, particularly regarding 'rapid temporal processing'. METHODOLOGY: A novel analysis/synthesis technique was used to construct a variety of sounds based on simple sentences which could be manipulated in spectro-temporal complexity, and whether they were intelligible or not. All sounds consisted of two noise-excited spectral prominences (based on the lower two formants in the original speech) which could be static or varying in frequency and/or amplitude independently. Dynamically varying both acoustic features based on the same sentence led to intelligible speech but when either or both acoustic features were static, the stimuli were not intelligible. Using the frequency dynamics from one sentence with the amplitude dynamics of another led to unintelligible sounds of comparable spectro-temporal complexity to the intelligible ones. Positron emission tomography (PET) was used to compare which brain regions were active when participants listened to the different sounds. CONCLUSIONS: Neural activity to spectral and amplitude modulations sufficient to support speech intelligibility (without actually being intelligible) was seen bilaterally, with a right temporal lobe dominance. A left dominant response was seen only to intelligible sounds. It thus appears that the left hemisphere specialisation for speech is based on the linguistic properties of utterances, not on particular acoustic features.
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Sine-wave speech is typically unintelligible on first exposure and may not be noticed as being speech-like; once the listener knows that it is potentially intelligible, relatively high levels of comprehension can be achieved.
“SWS is typically unintelligible on first exposure and may not be noticed as being speech-like (often sounding like 'aliens' or birdsong).Once the listener knows that it is potentially intelligible, though, relatively high levels of comprehension can be achieved (Remez et al., 2011;Rosen et al., 2011).”
From Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations (2017) · cites this paper as Rosen et al., 2011
Effects of prior knowledge and training on the processing of sine-wave speech and similar stimuli are reflected in the greater involvement of inferior frontal cortex, pre-supplementary motor area, and dorsolateral prefrontal cortex.
“Effects of prior knowledge and training on the processing of SWS and similar stimuli are reflected in the greater involvement of inferior frontal cortex (Davis and Johnsrude, 2003), pre-SMA, and dorsolateral prefrontal cortex (Eisner et al., 2010;Rosen et al., 2011), while posterior temporal cortex appears to track changes in sensory detail (Sohoglu et al., 2012) and predictability (Gagnepain et”
From Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations (2017) · cites this paper as Rosen et al., 2011
The general response to intelligibility-and general effects of training with SWS-involved regions consistent with previous research on distorted speech.
“Notwithstanding the small sample size of the present study, it is also important to note that the general response to intelligibility-and general effects of training with SWS-involved regions consistent with previous research on distorted speech.”
From Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations (2017) · cites this paper as Rosen et al., 2011
The primarily left-lateralized network seen across both groups is consistent with intelligibility effects using very similar stimuli, as is the involvement of the SMA.
“The primarily left-lateralized network seen across both groups is consistent with intelligibility effects using very similar stimuli (McGettigan et al., 2012), as is the involvement of the SMA (Rosen et al., 2011).”
From Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations (2017) · cites this paper as Rosen et al., 2011
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Cites
Speech Recognition with Primarily Temporal Cues
Shannon, R., Zeng, F.-G., Kamath, V., Wygonski, J., & Ekelid, M. (1995) · Science · doi:10.1126/science.270.5234.303 · Cited by 3,302 · see citing works
A cochlear frequency-position function for several species—29 years later
Greenwood, D. D. (1990) · The Journal of the Acoustical Society of America · doi:10.1121/1.399052 · Cited by 1,900 · see citing works
Voice-selective areas in human auditory cortex
Belin, P., Zatorre, R. J., Lafaille, P., Ahad, P. A., & Pike, G. B. (2000) · Nature · doi:10.1038/35002078 · Cited by 1,789 · see citing works
Poeppel, D. (2003) · Speech Communication · doi:10.1016/s0167-6393(02)00107-3 · Cited by 1,315 · see citing works
Spectral and Temporal Processing in Human Auditory Cortex
Zatorre, R. J. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.10.946 · Cited by 1,279 · see citing works
Identification of a pathway for intelligible speech in the left temporal lobe
Scott, S. K. (2000) · Brain · doi:10.1093/brain/123.12.2400 · Cited by 1,143 · see citing works
Self-citationEffect of temporal envelope smearing on speech reception
Drullman, R., Festen, J. Μ., & Plomp, R. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.408467 · Cited by 805 · see citing works
Speech perception without traditional speech cues
Remez, R. E., Rubin, P. E., Pisoni, D. B., & Carrell, T. D. (1981) · Science · doi:10.1126/science.7233191 · Cited by 800 · see citing works
The Processing of Temporal Pitch and Melody Information in Auditory Cortex
Patterson, R. D., Uppenkamp, S., Johnsrude, I. S., & Griffiths, T. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)01060-7 · Cited by 721 · see citing works
Hierarchical and asymmetric temporal sensitivity in human auditory cortices
Boemio, A., Fromm, S. J., Braun, A. R., & Poeppel, D. (2005) · Nature Neuroscience · doi:10.1038/nn1409 · Cited by 574 · see citing works
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 · see citing works
Self-citationTEMPORAL PERCEPTION, APHASIA AND DÉJÀ VU
Efron, R. (1963) · Brain · doi:10.1093/brain/86.3.403 · Cited by 496 · see citing works
Neural Lateralization of Species-Specific Vocalizations by Japanese Macaques ( Macaca fuscata )
Petersen, M. R., Beecher, M. D., Zoloth, S. R., Moody, D. B., & Stebbins, W. C. (1978) · Science · doi:10.1126/science.99817 · Cited by 406 · see citing works
A voice region in the monkey brain
Petkov, C. I., Kayser, C., Steudel, T., Whittingstall, K., Augath, M. A., & Logothetis, N. K. (2008) · Nature Neuroscience · doi:10.1038/nn2043 · Cited by 401 · see citing works
The role of the supplementary motor area (SMA) in word production
Alario, F.-X., Chainay, H., Lehericy, S., & Cohen, L. (2006) · Brain Research · doi:10.1016/j.brainres.2005.11.104 · Cited by 377 · see citing works
Species-specific calls evoke asymmetric activity in the monkey's temporal poles
Poremba, A., Malloy, M., Saunders, R. C., Carson, R. E., Herscovitch, P., & Mishkin, M. (2004) · Nature · doi:10.1038/nature02268 · Cited by 355 · see citing works
Representation of the temporal envelope of sounds in the human brain
Giraud, A.-L., Lorenzi, C., Ashburner, J., Wable, J., Johnsrude, I., Frackowiak, R., & Kleinschmidt, A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1588 · Cited by 353 · see citing works
Spectral and Temporal Processing in Human Auditory Cortex
Hall, D. A., Johnsrude, I. S., Haggard, M. P., Palmer, A. R., Akeroyd, M. A., & Summerfield, A. Q. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.2.140 · Cited by 275 · see citing works
Speech-hearing tests and the spoken language of hearing-impaired children
Bamford, J., & Bench, J. (1979) · Medical Entomology and Zoology · Cited by 255 · see citing works
Schönwiesner, M., Rübsamen, R., & von Cramon, D. Y. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04315.x · Cited by 245 · see citing works
Bilateral Speech Comprehension Reflects Differential Sensitivity to Spectral and Temporal Features
Obleser, J., Eisner, F., & Kotz, S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1290-08.2008 · Cited by 217 · see citing works
Harms, M. P., & Melcher, J. R. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.3.1433 · Cited by 179 · see citing works
Scott, S. K., Rosen, S., Wickham, L., & Wise, R. J. S. (2004) · The Journal of the Acoustical Society of America · doi:10.1121/1.1639336 · Cited by 163 · see citing works
Self-citationAnalysis of the spectral envelope of sounds by the human brain
Warren, J. D., Jennings, A. R., & Griffiths, T. D. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.031 · Cited by 140 · see citing works
Encoding of Spectral Correlation over Time in Auditory Cortex
Overath, T., Kumar, S., von Kriegstein, K., & Griffiths, T. D. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4596-08.2008 · Cited by 98 · see citing works
Amplitude and Frequency-modulated Stimuli Activate Common Regions of Human Auditory Cortex
Hart, H. C. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.7.773 · Cited by 82 · see citing works
A cortical region sensitive to auditory spectral motion
Thivard, L., Belin, P., Zilbovicius, M., Poline, J., & Samson, Y. (2000) · Neuroreport · doi:10.1097/00001756-200009110-00028 · Cited by 77 · see citing works
Monitoring and the Controlled Processing of Meaning: Distinct Prefrontal Systems
Sharp, D. J. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg086 · Cited by 67 · see citing works
Spectrotemporal features of the auditory cortex: the activation in response to dynamic ripples
Langers, D. R. M., Backes, W. H., & van Dijk, P. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00258-1 · Cited by 66 · see citing works
Best, C. T., & Avery, R. A. (1999) · Psychological Science · doi:10.1111/1467-9280.00108 · Cited by 63 · see citing works
Acoustic cues for a fricative-affricate contrast in word-final position
Dorman, M. F., Raphael, L. J., & Isenberg, D. S. (1980) · Journal of Phonetics · doi:10.1016/s0095-4470(19)31496-2 · Cited by 57 · see citing works
Constructing adequate non‐speech analogues: what is special about speech anyway?
Rosen, S., & Iverson, P. (2007) · Developmental Science · doi:10.1111/j.1467-7687.2007.00550.x · Cited by 34 · see citing works
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- [32]Remez RE Rubin PE Pisoni DB Carrell TD 1981 Speech-Perception Without Traditional Speech Cues. Science 212 947 950 7233191
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Distinct processing of ambiguous speech in people with non-clinical auditory verbal hallucinations
Alderson-Day, B., Lima, C. F., Evans, S., Krishnan, S., Shanmugalingam, P., Fernyhough, C., & Scott, S. K. (2017) · Brain · doi:10.1093/brain/awx206 · Cited by 108 · see citing works
Self-citationMcGettigan, C., Evans, S., Rosen, S., Agnew, Z. K., Shah, P., & Scott, S. K. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00161 · Cited by 56 · see citing works
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- Authors
- Rosen, S., Wise, R. J. S., Chadha, S., Conway, E.-J., & Scott, S. K.
- Affiliations
- University College London (GB)
- Imperial College London (GB)
- Corresponding author
- Rosen, Stuart
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-09-30
- Volume
- 6
- Issue
- 9
- Pages
- e24672
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3184092
- OpenAlex
- W2031213508
- Cited by
- 49
- References
- 32
- Citations by year
- 2025: 3 · 2024: 3 · 2022: 4 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 9 · 2013: 7 · 2012: 5
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (090961, WT074414MA)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- hemispheric lateralization, speech perception, left hemisphere dominance, right temporal lobe, speech intelligibility, formant dynamics, amplitude modulation, frequency modulation, auditory cortex, language lateralization, acoustic features
- MeSH terms
- Acoustic Stimulation, Acoustics, Adult, Auditory Cortex, Auditory Perception, Brain Mapping, Evoked Potentials, Auditory, Female, Humans, Linguistics, Male, Middle Aged, Speech, Speech Intelligibility, Speech Perception, Temporal Lobe, Time Factors, Positron-Emission Tomography, Cerebrum
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