Evidence map›Paper›PMID 41397935›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans.

Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang and 8 more

Abstract read
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In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jiahao HuangInstitute of Advanced Technology, College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Ruifeng LiInstitute of Advanced Technology, College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Wenwen YuInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.
Anan LiHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
Xiangning LiState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Daxue Lu Sanya, Yazhou District, 572025, China.
Mingchao YanInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Lei XieInstitute of Advanced Technology, College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Qingrun ZengInstitute of Advanced Technology, College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Xueyan JiaHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
Shuxin WangHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
Ronghui JuDepartment of Radiology, The People's Hospital of China Medical University and the People's Hospital of Liaoning Province, Shenyang, 110016, China.
Feng ChenDepartment of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, Hainan, 570311, China.
Qingming LuoState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Daxue Lu Sanya, Yazhou District, 572025, China.
Hui GongHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
Andrew ZaleskySystems Lab, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, 3010, Australia.
Xiaoquan YangHUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, 215123, China.
Yuanjing FengInstitute of Advanced Technology, College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China.
Zheng WangState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Daxue Lu Sanya, Yazhou District, 572025, China.ORCID https://orcid.org/0000-0001-7138-8581

Funding

National Natural Science Foundation 61976190National Natural Science Foundation 62403428National Natural Science Foundation 82151303National Natural Science Foundation U23A20334STI-2030-Major Projects 2021ZD0200104STI-2030-Major Projects 2021ZD0204002Zhejiang Province Science and Technology Innovation Leading Talent Program 2021R52004
6 · The paper itself

Abstract

The organization and connectivity of the arcuate fasciculus (AF) in nonhuman primates remain contentious, especially concerning how its anatomy diverges from that of humans. Here, viral-based genetic labeling and fluorescence micro-optical sectioning tomography (fMOST) are integrated for single-neuron tracing with whole-brain tractography derived from 11.7T diffusion MRI in four macaques. Augmented by human 7.0T MRI spectral embedding analyses, this multimodal framework enabled cross-species comparative connectomics of the AF. Complemented by spectral embedding analysis of 7.0T MRI in humans, a comparative connectomic analysis of the AF across species is performed. It is demonstrated that the macaque AF originates in the temporal-parietal cortex, traverses the auditory cortex and parietal operculum, and projects into prefrontal regions. In contrast, the human AF exhibits greater expansion into the middle temporal gyrus and stronger prefrontal and parietal operculum connectivity-divergences quantified by Kullback-Leibler analysis that likely underpin the evolutionary specialization of human language networks. These differences underscore the critical role of AF expansion and differentiation in the evolution of human language capabilities.

Indexed as

ConnectomeNerve NetAnimalsDiffusion Tensor ImagingFemaleHumansMacacaMacaca mulattaMagnetic Resonance ImagingMaleNeural Pathwaysarcuate fasciculuscross‐species comparisonsingle‐neuron reconstructionventrolateral prefrontal corticeswhole‐brain projectome

Identifiers

PMID41397935
PMCPMC12955879

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.