Abstract

Speech processing requires extracting meaning from acoustic patterns using a set of intermediate representations based on a dynamic segmentation of the speech stream. Using whole brain mapping obtained in fMRI, we investigate the locus of cortical phonemic processing not only for single phonemes but also for short combinations made of diphones and triphones. We find that phonemic processing areas are much larger than previously described: they include not only the classical areas in the dorsal superior temporal gyrus but also a larger region in the lateral temporal cortex where diphone features are best represented. These identified phonemic regions overlap with the lexical retrieval region, but we show that short word retrieval is not sufficient to explain the observed responses to diphones. Behavioral studies have shown that phonemic processing and lexical retrieval are intertwined. Here, we also have identified candidate regions within the speech cortical network where this joint processing occurs.

The neural dynamics underlying speech comprehension are not well understood. Here, the authors show that phonemic-to-lexical processing is localized to a large region of the temporal cortex, and that segmentation of the speech stream occurs mostly at the level of diphones.

Details

Title
Phonemic segmentation of narrative speech in human cerebral cortex
Author
Gong, Xue L. 1   VIAFID ORCID Logo  ; Huth, Alexander G. 2 ; Deniz, Fatma 3 ; Johnson, Keith 4   VIAFID ORCID Logo  ; Gallant, Jack L. 5   VIAFID ORCID Logo  ; Theunissen, Frédéric E. 6   VIAFID ORCID Logo 

 University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
 University of Texas, Austin, Departments of Neuroscience and Computer Science, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
 Technische Universität Berlin, Faculty of Electrical Engineering and Computer Science, Berlin, Germany (GRID:grid.6734.6) (ISNI:0000 0001 2292 8254) 
 University of California, Berkeley, Department of Linguistics, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
 University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); University of California, Berkeley, Department of Psychology, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
 University of California, Berkeley, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); University of California, Berkeley, Department of Psychology, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); University of California, Berkeley, Department of Integrative Biology, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
Pages
4309
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2838882483
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.