Revisiting human language and speech production network: A meta-analytic connectivity modeling study

  • Chun Wei Hsu
  • , Chu Chung Huang*
  • , Chih Chin Heather Hsu
  • , Yanchao Bi
  • , Ovid Jyh Lang Tzeng
  • , Ching Po Lin*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In recent decades, converging evidence has reached a consensus that human speech production is carried out by large-scale hierarchical network comprising both language-selective and domain-general systems. However, it remains unclear how these systems interact during speech production and the specific contributions of their component regions. By utilizing a series of meta-analytic approaches based on various language tasks, we dissociated four major systems in this study: domain-general, high-level language, motor-perception, and speech-control systems. Using meta-analytic connectivity modeling, we found that while the domain-general system is coactivated with high-level language regions and speech-control networks, only the speech-control network at the ventral precentral gyrus is coactivated with other systems during different speech-related tasks, including motor perception. In summary, this study revisits the previously proposed language models using meta-analytic approaches and highlights the contribution of the speech-control network to the process of speech production independent of articulatory motor.

Original languageEnglish
Article number121008
JournalNeuroImage
Volume306
DOIs
StatePublished - 1 Feb 2025
Externally publishedYes

Keywords

  • Brain networks
  • Language
  • Meta-analysis
  • Meta-analytic connectivity modeling

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