OSCR

Domain-general and language-specific brain networks are differentially associated with verbal intelligence during development.

Overview

Authors: Zihang Zhou1, Xiaohong Yang1,2,3, Ping Ju1, Mengjie Rong4, Elizabeth Jefferies5, Xi-Nian Zuo4,6,7,8
  1. Department of Psychology, Renmin University of China, No. 59, Zhongguancun Street, Beijing 100872, China
  2. Research Center for Social Psychological Science and Engineering, Renmin University of China, No. 59, Zhongguancun Street, Beijing 100872, China
  3. Jiangsu Collaborative Innovation Center for Language Ability, Jiangsu Normal University, No. 101, Shanghai Road, Xuzhou 221100, China
  4. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19, Xinjiekouwai Avenue, Beijing 100875, China
  5. Department of Psychology, University of York, Heslington, York YO105DD, UK
  6. Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, No. 19, Xinjiekouwai Avenue, Beijing 100875, China
  7. School of Brain and Cognition, Beijing Normal University, No. 19, Xinjiekouwai Avenue, Beijing 100875, China
  8. National Basic Science Data Center, No. 2, Dongsheng South Road, Beijing 100190, China
Journal: iScience, volume 29, issue 8, article 116704
Dates: received 10 December 2025; accepted 19 June 2026; published online 9 July 2026
Type: Research article · Language: English
License: CC BY-NC
Identifiers: DOI 10.1016/j.isci.2026.116704 · PMID 42473669 · PMCID PMC13380769 · OpenAlex W7167850526
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: human (organism), developmental (subfield)
Methods: Statistics, fMRI & imaging, Preprocessing
Keywords: language development, domain-general systems, language-specific network, multiple-demand system, default-mode system, verbal intelligence
Topic: Williams Syndrome Research (Developmental Neuroscience, Neuroscience), according to OpenAlex
Funding: STI 2030—the major projects of the Brain Science; Brain-Inspired Intelligence Technology (2021ZD0200500); National Natural Science Foundation of China (National Science Foundation of China) (31871108); Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning; Fundamental Research Funds for the Central Universities; Research Funds of Renmin University of China (23XNKJ01)
Citations: not cited yet (Europe PMC); 84 references in the paper

Abstract

Understanding how verbal intelligence develops requires clarifying the roles of domain-general and language-selective brain systems. Here, we examined this question in an accelerated longitudinal cohort of children and adolescents from Beijing (N = 170) by relating gray matter volume measures to the verbal comprehension index (VCI) of the Wechsler intelligence scale, a widely used measure of verbal intelligence. We observed that individual differences in VCI were more strongly associated with structural maturation of domain-general networks, including the default mode (DM) and multiple-demand (MD) systems, than with the language-selective network, and that these effects varied with age. Independent validation in a Chongqing cohort (N = 150) confirmed significant contributions of domain-general networks during adolescence (13–15 years). These findings highlight a previously underappreciated role of domain-general cortical systems in the development of verbal intelligence during adolescence and provide new insight into the neural basis of abstract verbal reasoning across development.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data and code availability

• Datasets used in this study have been deposited at CCNDC and are publicly available at https://ccndc.scidb.cn as of the date of publication. Accession numbers are listed in the key resources table. • This study does not report original code. • Any additional information required to reanalyze the data reported in this study is available from the lead contact upon request.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Authors: added Zihang Zhou (0000-0002-8776-2926); removed Zihang Zhou

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 6 keywords, 6 funders, 78 references.

Cite

This paper

Zhou, Z., Yang, X., Ju, P., Rong, M., Jefferies, E., & Zuo, X.-N. (2026). Domain-general and language-specific brain networks are differentially associated with verbal intelligence during development. iScience, 29(8), 116704. https://doi.org/10.1016/j.isci.2026.116704

BibTeX

@article{zhou2026domain,
author = {Zhou, Zihang and Yang, Xiaohong and Ju, Ping and Rong, Mengjie and Jefferies, Elizabeth and Zuo, Xi-Nian},
title = {{Domain-general and language-specific brain networks are differentially associated with verbal intelligence during development}},
journal = {iScience},
year = {2026},
month = jul,
volume = {29},
number = {8},
pages = {116704},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.116704},
url = {https://doi.org/10.1016/j.isci.2026.116704},
pmid = {42473669},
pmcid = {PMC13380769}
}

RIS

TY - JOUR
AU - Zhou, Zihang
AU - Yang, Xiaohong
AU - Ju, Ping
AU - Rong, Mengjie
AU - Jefferies, Elizabeth
AU - Zuo, Xi-Nian
TI - Domain-general and language-specific brain networks are differentially associated with verbal intelligence during development
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/07/09
VL - 29
IS - 8
SP - 116704
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.116704
UR - https://doi.org/10.1016/j.isci.2026.116704
LA - en
ER -

CSL-JSON

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