The cortical dynamics of intelligible speech.
Open accessAbstract
An important and unresolved question is how the human brain processes speech for meaning after initial analyses in early auditory cortical regions. A variety of left-hemispheric areas have been identified that clearly support semantic processing, although a systematic analysis of directed interactions among these areas is lacking. We applied dynamic causal modeling of functional magnetic resonance imaging responses and Bayesian model selection to investigate, for the first time, experimentally induced changes in coupling among three key multimodal regions that were activated by intelligible speech: the posterior and anterior superior temporal sulcus (pSTS and aSTS, respectively) and pars orbitalis (POrb) of the inferior frontal gyrus. We tested 216 different dynamic causal models and found that the best model was a "forward" system that was driven by auditory inputs into the pSTS, with forward connections from the pSTS to both the aSTS and the POrb that increased considerably in strength (by 76 and 150%, respectively) when subjects listened to intelligible speech. Task-related, directional effects can now be incorporated into models of speech comprehension.
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This average network structure is exactly the winning model from earlier work [17] (based on AIC/BIC approximation of model evidence).
“This is exactly the winning model from earlier work [17] (based on AIC/BIC approximation of model evidence).”
From Comparing families of dynamic causal models (2010) · cites this paper as [17]
The top-ranked models in the previous study [17] contained significantly fewer modulatory connections than those in this paper: the top 10 models in [17] averaged 2.4 modulatory connections, whereas those in this paper averaged 4.5.
“One notable difference arising from this distinction is that the top-ranked models in [17] contained significantly fewer connections than those in this paper (one sample t-test, ). The top 10 models in [17] contained an average 2.4 modulatory connections whereas those in this paper contained an average of 4.5.”
From Comparing families of dynamic causal models (2010) · cites this paper as [17]
Using the free energy approximation for model evidence instead of the most conservative of AIC and BIC (as in previous work [17]) resulted in highly ranked models containing significantly more connections than in the previous study.
“The model evidence for the DCMs fitted in this paper was computed using the free energy approximation whereas previous work used (the most conservative of) AIC and BIC [17]. This resulted in the highly ranked models containing significantly more connections than in the previous study.”
From Comparing families of dynamic causal models (2010) · cites this paper as [17]
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Self-citation
- Authors
- Leff, A. P., Schofield, T. M., Stephan, K. E., Crinion, J. T., Friston, K. J., & Price, C. J.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2008-12-03
- Volume
- 28
- Issue
- 49
- Pages
- 13209-13215
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2613508
- OpenAlex
- W1988979668
- Cited by
- 123
- References
- 54
- Citations by year
- 2026: 1 · 2024: 1 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 4 · 2018: 3 · 2017: 5 · 2016: 2 · 2015: 10 · 2014: 12 · 2013: 11 · 2012: 22
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Wellcome Trust (082420, 075765, 056750, 088130)
- Universität Zürich
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- speech understanding, semantic processing, superior temporal sulcus, posterior superior temporal sulcus, pars orbitalis, inferior frontal gyrus, cortical connectivity, dynamic causal modeling, Bayesian model selection, intelligible speech, auditory cortex, left hemisphere
- MeSH terms
- Acoustic Stimulation, Adult, Brain Mapping, Cerebral Cortex, Cues, Dominance, Cerebral, Female, Frontal Lobe, Humans, Language Tests, Functional Laterality, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Photic Stimulation, Sex Characteristics, Sex Factors, Speech Perception, Temporal Lobe, Verbal Behavior, Young Adult
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