Cited by 72Neurobiology of Language and BilingualismFunctional Brain Connectivity StudiesPhonetics and Phonology Research

Neural network of speech monitoring overlaps with overt speech production and comprehension networks: a sequential spatial and temporal ICA study

van de Ven, Vincent, Esposito, Fabrizio, Christoffels, Ingrid K.·2009·NeuroImage

Abstract

The neural correlates of speech monitoring overlap with neural correlates of speech comprehension and production. However, it is unclear how these correlates are organized within functional connectivity networks, and how these networks interact to subserve speech monitoring. We applied spatial and temporal independent component analysis (sICA and tICA) to a functional magnetic resonance imaging (fMRI) experiment involving overt speech production, comprehension and monitoring. SICA and tICA respectively decompose fMRI data into spatial and temporal components that can be interpreted as distributed estimates of functional connectivity and concurrent temporal dynamics in one or more regions of fMRI activity. Using sICA we found multiple connectivity components that were associated with speech perception (auditory and left fronto-temporal components) and production (bilateral central sulcus and default-mode components), but not with speech monitoring. In order to further investigate if speech monitoring could be mapped in the auditory cortex as a unique temporal process, we applied tICA to voxels of the sICA auditory component. Amongst the temporal components we found a single, unique component that matched the speech monitoring temporal pattern. We used this temporal component as a new predictor for whole-brain activity and found that it correlated positively with bilateral auditory cortex, and negatively with the supplementary motor area (SMA). Psychophysiological interaction analysis of task and activity in bilateral auditory cortex and SMA showed that functional connectivity changed with task conditions. These results suggest that speech monitoring entails a dynamic coupling between different functional networks. Furthermore, we demonstrate that overt speech comprises multiple networks that are associated with specific speech-related processes. We conclude that the sequential combination of sICA and tICA is a powerful approach for the analysis of complex, overt speech tasks.

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Crossref · 10.1016/j.neuroimage.2009.05.057

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Authors
van de Ven, V., Esposito, F., & Christoffels, I. K.
Affiliations
  • Maastricht University (NL)
  • Leiden University (NL)
Venue
NeuroImage
Publisher
Elsevier BV
Published
2009-10
Volume
47
Issue
4
Pages
1982-1991
ISSN
1053-8119 (ISSN-L)
OpenAlex
W1986734326
Cited by
72
References
70
Citations by year
2025: 4 · 2024: 1 · 2023: 1 · 2022: 6 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 2 · 2017: 3 · 2016: 5 · 2015: 5 · 2014: 3 · 2013: 6 · 2012: 11
FWCI
4.36
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion)
  • Research Publications (Maastricht University) (submittedVersion)
Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
Keywords
speech monitoring, speech understanding, functional connectivity, auditory cortex, supplementary motor area, default mode network, central sulcus, temporal dynamics of brain activity, psychophysiological interaction
MeSH terms
Auditory Perception, Brain, Brain Mapping, Female, Humans, Male, Nerve Net, Speech, Principal Component Analysis, Comprehension, Young Adult

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