Monthly
8 1/2 x 11, illustrated
Founded: 1989
ISSN 0898-929X
E-ISSN 1530-8898
2010 Impact Factor: 5.357
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September 2009, Vol. 21, No. 9, Pages 1790-1804
Posted Online July 15, 2009.
(doi:10.1162/jocn.2009.21118)
© 2008 Massachusetts Institute of Technology
A Multisensory Cortical Network for Understanding Speech in NoiseChristopher W. Bishop and Lee M. MillerUniversity of California, Davis
In noisy environments, listeners tend to hear a speaker's voice yet struggle to understand what is said. The most effective way to improve intelligibility in such conditions is to watch the speaker's mouth movements. Here we identify the neural networks that distinguish understanding from merely hearing speech, and determine how the brain applies visual information to improve intelligibility. Using functional magnetic resonance imaging, we show that understanding speech-in-noise is supported by a network of brain areas including the left superior parietal lobule, the motor/premotor cortex, and the left anterior superior temporal sulcus (STS), a likely apex of the acoustic processing hierarchy. Multisensory integration likely improves comprehension through improved communication between the left temporal–occipital boundary, the left medial-temporal lobe, and the left STS. This demonstrates how the brain uses information from multiple modalities to improve speech comprehension in naturalistic, acoustically adverse conditions. Cited byCarolyn McGettigan, Andrew Faulkner, Irene Altarelli, Jonas Obleser, Harriet Baverstock, Sophie K. Scott. (2012) Speech comprehension aided by multiple modalities: Behavioural and neural interactions. NeuropsychologiaOnline publication date: 1-Jan-2012. CrossRef Jai A. Shetake, Jordan T. Wolf, Ryan J. Cheung, Crystal T. Engineer, Satyananda K. Ram, Michael P. Kilgard. (2011) Cortical activity patterns predict robust speech discrimination ability in noise. European Journal of Neuroscienceno-no Online publication date: 1-Nov-2011. CrossRef Judy H. Song, Erika Skoe, Karen Banai, Nina Kraus. (2011) Perception of Speech in Noise: Neural Correlates. Journal of Cognitive Neuroscience 23:9, 2268-2279 Online publication date: 1-Sep-2011. Abstract | Full Text | PDF (488 KB) | PDF Plus (437 KB) J. C. Hailstone, G. R. Ridgway, J. W. Bartlett, J. C. Goll, A. H. Buckley, S. J. Crutch, J. D. Warren. (2011) Voice processing in dementia: a neuropsychological and neuroanatomical analysis. Brain 134:9, 2535-2547 Online publication date: 1-Sep-2011. CrossRef Gregg H. Recanzone. (2011) Perception of auditory signals. Annals of the New York Academy of Sciences 1224:1, 96-108 Online publication date: 1-Apr-2011. CrossRef Ryan A. Stevenson, Ross M. VanDerKlok, David B. Pisoni, Thomas W. James. (2011) Discrete neural substrates underlie complementary audiovisual speech integration processes. NeuroImage 55:3, 1339-1345 Online publication date: 1-Apr-2011. CrossRef Deniz Başkent, Danny Bazo. (2011) Audiovisual Asynchrony Detection and Speech Intelligibility in Noise With Moderate to Severe Sensorineural Hearing Impairment. Ear and Hearing1 Online publication date: 1-Mar-2011. CrossRef Javier Gonzalez-Castillo, Thomas M. Talavage. (2011) Reproducibility of fMRI activations associated with auditory sentence comprehension. NeuroImage 54:3, 2138-2155 Online publication date: 1-Feb-2011. CrossRef Christopher I. Petkov, Mitchell L. Sutter. (2011) Evolutionary conservation and neuronal mechanisms of auditory perceptual restoration. Hearing Research 271:1-2, 54-65 Online publication date: 1-Jan-2011. CrossRef K. T. Hill, L. M. Miller. (2010) Auditory Attentional Control and Selection during Cocktail Party Listening. Cerebral Cortex 20:3, 583-590 Online publication date: 1-Mar-2010. CrossRef
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