Evidence map›Paper›PMID 39058054›Full record

ArticleTomography (Ann Arbor, Mich.)2024

Connectivity Reveals the Relationships between Human Brain Areas Associated with High-Level Linguistic Processing and Macaque Brain Areas.

Fangyuan Wang, Xiaohua Lu, Xiaofeng Chen, Qianshan Wang, Qi Li, Haifang Li

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2024. 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

6 authors.

Fangyuan WangSchool of Computer Information Engineering, Shanxi Technology and Business University, Taiyuan 030024, China.
Xiaohua LuSchool of Computer Information Engineering, Shanxi Technology and Business University, Taiyuan 030024, China.
Xiaofeng ChenCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China.
Qianshan WangCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China.ORCID 0000-0003-2935-6839
Qi LiCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China.
Haifang LiSchool of Computer Information Engineering, Shanxi Technology and Business University, Taiyuan 030024, China.

Funding

National Natural Science Foundation of China 61976150Shanxi Provincial Education Department 2023L495
6 · The paper itself

Abstract

Cross-species research has advanced human understanding of brain regions, with cross-species comparisons using magnetic resonance imaging technology becoming increasingly common. Currently, cross-species research on human language regions has primarily focused on traditional brain areas such as the Broca region. While some studies have indicated that human language function also involves other language regions, the corresponding relationships between these brain regions in humans and macaques remain unclear. This study calculated the strength of the connections between the high-level language processing regions in human and macaque brains, identified homologous target areas based on the structural connections of white-matter fiber bundles, and compared the connectivity profiles of both species. The results of the experiment demonstrated that macaques possess brain regions which exhibit connectivity patterns resembling those found in human high-level language processing regions. This discovery suggests that while the function of a human brain region is specialized, it still maintains a structural connectivity similar to that seen in macaques.

Indexed as

BrainLanguageMacacaMagnetic Resonance ImagingAdultAnimalsBrain MappingFemaleHumansMaleSpecies SpecificityWhite MatterYoung Adultconnectivityconnectivity fingerprintcross-species comparisondiffusion MRIhuman language region

Identifiers

PMID39058054
PMCPMC11280774

What OpenQuestion holds

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Registered trials

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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.