Evidence map›Paper›PMID 41212618›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2025

Proteomic insights into the macaque insular parcellation based on structural connectivity gradients.

Xinyi Liu, Long Cao, Zongchang Du, Yue Cui, Kadharbatcha S Saleem, Yuanchao Zhang, Yuheng Lu, Baogui Zhang, Yanyan Liu, Xiaoxiao Hou and 5 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2025. 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

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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

15 authors.

Xinyi LiuSchool of Artificial Intelligence, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100049, China.
Long CaoHenan Key Laboratory of Imaging and Intelligent Processing, Information Engineering University, No. 62 Science Avenue, Zhongyuan District, Zhengzhou 450001, China.
Zongchang DuSchool of Artificial Intelligence, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100049, China.
Yue CuiSchool of Artificial Intelligence, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100049, China.ORCID 0000-0002-5001-4940
Kadharbatcha S SaleemSection on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, 13 South Drive, Bethesda, MD 20892, United States.ORCID 0000-0002-4450-9234
Yuanchao ZhangKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, No.2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu 611731, China.
Yuheng LuSchool of Artificial Intelligence, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100049, China.
Baogui ZhangBrainnetome Center, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing 100190, China.
Yanyan LiuBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, China.
Xiaoxiao HouBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, China.
Luqi ChengSchool of Life and Environmental Sciences, Guilin University of Electronic Technology, No. 1 Jinji Road, Qixing District, Guilin 541004, China.
Kaixin LiSchool of Mechanical and Power Engineering, Harbin University of Science and Technology, No. 52 Xuefu Road, Nangang District, Harbin 150080, China.
Lingzhong FanSchool of Artificial Intelligence, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100049, China.
Zhengyi YangBeijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian District, Beijing, China.
Tianzi JiangSchool of Artificial Intelligence, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Haidian District, Beijing 100049, China.ORCID 0000-0001-9531-291X

Funding

National Natural Science Foundation of China 62327805National Natural Science Foundation of China 62336007National Natural Science Foundation of China 82151307Science and Technology Innovation 2030 - Brain Science and Brain-Inspired Intelligence Project of China 2021ZD0200200
6 · The paper itself

Abstract

Gradients across microstructure, macro-connectivity, and gene expression scales have been identified in the primate brain, offering a continuous perspective to explore regional heterogeneity. The macaque insula, with its extensive connections with other cortical regions and involvement in diverse functions, exhibits gradient transitions at the microstructural level. However, the gradients of macroscopic structural connectivity (SC) and its relationship with gene expression in the macaque insula remain unclear. We hypothesized that SC gradients are closely associated with gene expression, driving insular parcellation. To test this, we analyzed high-resolution diffusion-weighted MR imaging alongside spatially aligned proteomic data. Our findings revealed a rostrocaudal organization of the dominant SC gradient in the macaque insula, leading to the identification of a four-subregion pattern within the insula based on the first two SC gradients. Proteomic profiles strongly correlated with the dominant SC gradient and the clustering of proteomic similarity aligned with the four-subregion pattern. Notably, the dominant SC gradient more effectively captured spatial protein expression variations than T1w/T2w and cortical thickness maps. Overall, this study demonstrated that the SC gradient analysis revealed a four-subregion pattern of parcellation aligned with the spatial distribution of proteomic profiles along the rostro-caudal axis.

Indexed as

Insular CortexProteomicsAnimalsDiffusion Magnetic Resonance ImagingMacacaMacaca mulattaMaleNeural Pathwaysconnectivity gradientDmrimacaque insulaparcellationproteome

Identifiers

PMID41212618
PMCPMC13370250

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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.