## Frontmatter | | | | --- | --- | | Authors | [[Julia Berezutskaya]], [[Zachary Freudenburg]], [[Umut Güçlü]], [[Marcel van Gerven]], [[Nick Ramsey]] | | Date | 2017/07 | | Source | [[The Journal of Neuroscience]] | | URL | https://doi.org/10.1523/jneurosci.0238-17.2017 | | Citation | Berezutskaya, J., Freudenburg, Z., Güçlü, U., van Gerven, M., & Ramsey, N. (2017). [[Neural tuning to low-level features of speech throughout the perisylvian cortex]]. _The Journal of Neuroscience_. [[URL](https://doi.org/10.1523/jneurosci.0238-17.2017)]. #Journal | ## Abstract Despite a large body of research, we continue to lack a detailed account of how auditory processing of continuous speech unfolds in the human brain. Previous research showed the propagation of low-level acoustic features of speech from posterior superior temporal gyrus toward anterior superior temporal gyrus in the human brain (Hullett et al., 2016). In this study, we investigate what happens to these neural representations past the superior temporal gyrus and how they engage higher-level language processing areas such as inferior frontal gyrus. We used low-level sound features to model neural responses to speech outside of the primary auditory cortex. Two complementary imaging techniques were used with human participants (both males and females): electrocorticography (ECoG) and fMRI. Both imaging techniques showed tuning of the perisylvian cortex to low-level speech features. With ECoG, we found evidence of propagation of the temporal features of speech sounds along the ventral pathway of language processing in the brain toward inferior frontal gyrus. Increasingly coarse temporal features of speech spreading from posterior superior temporal cortex toward inferior frontal gyrus were associated with linguistic features such as voice onset time, duration of the formant transitions, and phoneme, syllable, and word boundaries. The present findings provide the groundwork for a comprehensive bottom-up account of speech comprehension in the human brain. ## PDF ![[Neural tuning to low-level features of speech throughout the perisylvian cortex.pdf]]