Evidence map›Paper›PMID 41112168›Full record

ArticleFrontiers in systems neuroscience2025

Network-based mapping and neurotransmitter architecture of brain gray matter correlates of extraversion.

Hai-Hua Sun, Hu-Cheng Yang, Xiao-Yi Liu, Feng-Mei Zhang, Shu Wang, Zhen-Yu Dai, Si-Yu Gu, Ping-Lei Pan

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hai-Hua Sun *Department of Geriatrics, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Hu-Cheng Yang *Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Xiao-Yi Liu *Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Feng-Mei ZhangDepartment of Radiology, Binhai Maternal and Child Health Hospital, Yancheng, China.
Shu WangDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Zhen-Yu DaiDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Si-Yu GuDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.
Ping-Lei PanDepartment of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify common functional brain networks underlying heterogeneous gray matter (GM) correlates of extraversion and to characterize the neurotransmitter receptor and transporter architecture associated with these networks. Methods: A systematic literature search identified 13 voxel-based morphometry (VBM) studies reporting GM correlates of extraversion in healthy individuals ( Results: FCNM analysis revealed that reported GM correlates of extraversion converge onto specific functional networks. Spatial overlap analysis showed the highest association with the frontoparietal network (FPN) (37.32%) and the default mode network (DMN) (32.99%). Furthermore, JuSpace analysis indicated that these extraversion-linked networks exhibited significant positive spatial correlations with 5-hydroxytryptamine receptor 2A (5HT2a; Conclusion: Despite regional heterogeneity in prior VBM studies, structural GM correlates of extraversion consistently map onto the DMN and FPN. This network-based approach reconciles previous inconsistencies and highlights the importance of these large-scale networks as a plausible functional substrate underlying structural variations associated with extraversion. These findings advance a systems-level understanding of the neural basis of this core personality dimension and suggest a distinct neurochemical architecture within these networks.

Indexed as

default mode networkextraversionfrontoparietal networkfunctional connectivity network mappinggray matterneurotransmitter

Identifiers

PMID41112168
PMCPMC12531143

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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.