Communicating using spoken language feels effortless and automatic to healthy listeners with no hearing deficits or language processing problems. But the subjective ease belies the number and complexity of the many operations that -in aggregate- constitute speech perception. Transforming the acoustic signals that arrive at the ear into the abstract representations that underpin language processing requires a large number of little steps. When one or several of these intermediate operations malfunction, pathologies of hearing, speech perception, or language processing can be the consequence. Developing a theoretically well motivated and mechanistic, neurobiologically grounded understanding of this system remains one of the foundational challenges of the cognitive neuroscience of hearing, speech, and language. The research program outlined in this grant proposal strives to further develop a brain-based model of speech perception that is motivated by the insights of linguistic and psychological research, on the one hand, and is sensitive to the physical (acoustic) and neurobiological constraints of speech processing, on the other. The proposed experiments use the noninvasive electrophysiological neuroimaging technique magnetoencephalopgraphy (MEG), paired with magnetic resonance imaging (MRI). MEG is particularly useful because it combines very high temporal resolution (necessary because speech processing is fast) with good spatial resolution (necessary to understand the anatomic organization of the system). We investigate the speech processing system in the context of three specific research aims. The focus of the first aim is to understand more precisely the functional architecture in the brain. In particular, we want to understand the computational contribution of the critical regions mediating the processing of speech, both in perception and production. Furthermore, we test whether the same architectural (dual stream) model helps us understand both the perception of speech (old news) and the covert (internal) and overt production of speech (new news). The studies in the second aim test whether intrinsic brain rhythms (neural oscillations) that one observes (in animal and human studies) have a causal role in speech processing, as has recently been hypothesized. For example, the alignment of slow brain rhythms with the input signal may be necessary to understand speech (by parsing the continuous spoken input into the right 'chunk size'for further analysis). In the third aim, we turn to the perennial puzzle of brain asymmetry and its role in speech processing. We evaluate, building on the studies of oscillations, whether left and right auditory regions execute the same or different analyses of the speech input. As a group, these studies serve to further specify the 'parts list'of auditory and speech processing, with a special emphasis on timing and its implications for health and disease.

Public Health Relevance

Communicating with spoken language is the most common human interaction. The many complex processes that underlie comprehension can malfunction at many levels, leading to potential hearing, speech, or language disorders. Current noninvasive brain recording techniques can help us understand how the speech processing system functions in health and malfunctions in acquired and developmental disorders.

Agency
National Institute of Health (NIH)
Type
Research Project (R01)
Project #
2R01DC005660-11A1
Application #
8697595
Study Section
Language and Communication Study Section (LCOM)
Program Officer
Shekim, Lana O
Project Start
Project End
Budget Start
Budget End
Support Year
11
Fiscal Year
2014
Total Cost
Indirect Cost
Name
New York University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10012
Farbood, Morwaread M; Rowland, Jess; Marcus, Gary et al. (2015) Decoding time for the identification of musical key. Atten Percept Psychophys 77:28-35
Scharinger, Mathias; Idsardi, William J (2014) Sparseness of vowel category structure: Evidence from English dialect comparison. Lingua 140:35-51
Poeppel, David (2014) The neuroanatomic and neurophysiological infrastructure for speech and language. Curr Opin Neurobiol 28:142-9
ten Oever, Sanne; Schroeder, Charles E; Poeppel, David et al. (2014) Rhythmicity and cross-modal temporal cues facilitate detection. Neuropsychologia 63:43-50
Lewis, Gwyneth; Poeppel, David (2014) The role of visual representations during the lexical access of spoken words. Brain Lang 134:1-10
Doelling, Keith B; Arnal, Luc H; Ghitza, Oded et al. (2014) Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual parsing. Neuroimage 85 Pt 2:761-8
Dillon, Brian; Dunbar, Ewan; Idsardi, William (2013) A single-stage approach to learning phonological categories: insights from Inuktitut. Cogn Sci 37:344-77
Xiang, Juanjuan; Poeppel, David; Simon, Jonathan Z (2013) Physiological evidence for auditory modulation filterbanks: cortical responses to concurrent modulations. J Acoust Soc Am 133:EL7-12
Almeida, Diogo; Poeppel, David (2013) Word-specific repetition effects revealed by MEG and the implications for lexical access. Brain Lang 127:497-509
Zion Golumbic, Elana; Cogan, Gregory B; Schroeder, Charles E et al. (2013) Visual input enhances selective speech envelope tracking in auditory cortex at a "cocktail party". J Neurosci 33:1417-26

Showing the most recent 10 out of 64 publications