Growing evidence has demonstrated that human speech production relies on large-scale hierarchical networks. However, the mechanisms of interaction between these systems remain underexplored. In a new paper published in the international journal NeuroImage, Institute faculty Professor Chu-Chung Huang and collaborators conducted a meta-analytic connectivity modeling study that investigates how these systems interact during speech production. The team’s findings indicate that the network that supports speech production can be dissociated into four major systems: High-Level Language, Motor and Perception, Domain General, and the newly identified Speech Control system. Using meta-analytic connectivity modeling, the study uncovered the functional connectivity patterns among these systems and highlighted the central role of the Speech Control system in the coordination of complex tasks. This research provides new evidence for understanding the neural basis of language production, and opens up new possibilities for identifying key brain regions involved in language functions in clinical practices.
Journal Reference
Hsu, C., Huang, C.*, Hsu, C., Bi, Y., Tzeng, O., & Lin, C.* (2025). Revisiting human language and speech production network: a meta-analytic connectivity modeling study. Neuroimage, 306, 121008.
>> To read the article in Chinese at the School of Psychology and Cognitive Science, East China Normal University, click here.