Evidence map›Paper›PMID 40586997›Full record

SynthesisPhysical and engineering sciences in medicine2025

Functional division of the prefrontal lobe of the brain: coordinate-based neuroimaging meta-analysis.

Jiaofen Nan, Kaifan Zhang, Beike Chen, Panpan Xu, Gaodeng Fan, Siyuan Zhang, Xiaojuan Ba, Duan Li

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Physical and engineering sciences in medicine, 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

8 authors.

Jiaofen NanSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.
Kaifan ZhangSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.
Beike ChenSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.
Panpan XuSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.
Gaodeng FanSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.
Siyuan ZhangSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.
Xiaojuan BaSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China. 332013010620@email.zzuli.edu.cn.ORCID http://orcid.org/0000-0002-0509-8989
Duan LiSchool of Computer Science and Technology, Zhengzhou University of Light Industry, 136 Science Avenue, Zhengzhou, 450000, Henan Province, China.

Funding

Post - Doctoral Research Project of Henan Provinces Post - Doctoral Research Project of Henan ProvincesThe Key Research and Development Project in Henan Province [No.241111211700]The Key Science and Technology Program of Henan Province [No.242102211058]The Key Science Research Project of Colleges and Universities in Henan Province of China [No.25A520003]The Young Teacher Foundation of Henan Province [No.2021GGJS093]Zhengzhou Outstanding Young Scientific and Technological Talent Project Zhengzhou Outstanding Young Scientific and Technological Talent Project
6 · The paper itself

Abstract

The prefrontal cortex (PFC) is known to play a crucial role in the complex process of human cognition such as emotion, memory, value and decision-making, and reward. However, the current functional subregion division is too coarse and the specific localization of clusters related to each task remains unclear. In the study, to clarify the specific role of different clusters in the PFC, a detailed subdivision of the prefrontal cortex was conducted based on evidence from human neuroimaging studies. Based on the predefined inclusion criteria, up to December 2022, a total of 186 studies related to emotion, memory, value decision-making, and reward were screened from the PubMed, Web of Science, and BrainMap functional databases. The Activation Likelihood Estimation (ALE) method was used to divide the prefrontal cortex regions by performing single-activation analysis, contrastive-activation analysis, and joint-activation analysis. The prefrontal brain area was divided into 15 functional sub-areas, each corresponding to unique activation or joint activation areas of emotion, memory, value and decision-making, and reward. The results showed that the prefrontal lobe of the brain plays different roles in the different subregions. The division of the prefrontal lobe has important clinical value for understanding and studying the relevant diseases.

Indexed as

NeuroimagingPrefrontal CortexBrain MappingEmotionsHumansActivation likelihood estimationFrontal lobeFunctional divisionFunctional MRIMeta-analysis

Identifiers

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Read underepoch 390

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.