Syntactic processing engages the semantic control network.
Overview
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Department of Psychology, University of York, Heslington, Yorkshire, United Kingdom
Abstract
The relationship between semantics and syntax is highly contested. Neuroimaging evidence has offered conflicting views on whether these domains are neurally separable, in part because prior work has not distinguished two key components of semantic cognition: semantic representation and semantic control. In this study, we conducted an activation likelihood estimation (ALE) meta-analysis to identify regions consistently engaged by more versus less demanding syntactic processing, and compared these directly with regions recruited by more versus less demanding semantic processing. Demanding syntactic processing engaged regions across the semantic control network (SCN), including the inferior frontal gyrus (IFG) and insula (particularly on the left), left posterior temporal cortex (posterior superior temporal sulcus and middle temporal gyrus), and bilateral dorsomedial prefrontal cortex. No regions outside the SCN responded significantly more to syntactic demands than semantic control. Within the SCN, there was significantly less reliable activation for syntactic than for semantic control demands in some anterior (pars triangularis) and ventral (pars orbitalis) portions of the left IFG and a region in posterior fusiform and inferior temporal gyrus. Greater involvement for syntax than semantic control was identified in a small region of posterior left IFG (pars opercularis) within the SCN. Moreover, both controlled semantic and syntactic processing showed multimodal responses to auditory and visual stimuli in the left IFG and posterior temporal cortex (PTC). Together, these findings suggest that syntactic processing is distinct from semantic representation, yet demanding syntax engages portions of the SCN, reflecting a shared need to access and manipulate stored semantic knowledge for flexible, context-sensitive use.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data, not to its authors' code: see the Data section.
The paper's code and data availability statement is in the Data section.
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Data
Datasets cited
- github.com/
qianwenchang/ , at github.com; found in “Data and Code Availability”syntax_semanticcontrol_m eta
Data and Code Availability
All data are provided in the Supplementary Materials (https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 3 authors, 4 keywords, 87 references.
Cite
This paper
Chang, Q., Jefferies, E., & Jackson, R. L. (2026). Syntactic processing engages the semantic control network. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1281. https://
BibTeX
@article{chang2026syntac
author = {Chang, Qianwen and Jefferies, Elizabeth and Jackson, Rebecca L.},
title = {{Syntactic processing engages the semantic control network}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = jun,
volume = {4},
pages = {IMAG.a.1281},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/
url = {https://
pmid = {42344101},
pmcid = {PMC13288499}
}
RIS
TY - JOUR
AU - Chang, Qianwen
AU - Jefferies, Elizabeth
AU - Jackson, Rebecca L.
TI - Syntactic processing engages the semantic control network
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/
VL - 4
SP - IMAG.a.1281
SN - 2837-6056
PB - MIT Press
DO - 10.1162/
UR - https://
LA - en
ER -
CSL-JSON
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"language": "en",
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