Evidence map›Paper›PMID 39840021›Full record

ArticleFrontiers in neuroscience2024

Graph analysis based on SCN reveals novel neuroanatomical targets related to tinnitus distress.

Yawen Lu, Yifeng Yang, Meijing Yan, Lianxi Sun, Caixia Fu, Jianwei Zhang, Yuehong Liu, Kefeng Li, Zhao Han, Guangwu Lin and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yawen Lu *Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Yifeng Yang *Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Meijing YanDepartment of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Lianxi SunDepartment of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Caixia FuSiemens Shenzhen Magnetic Resonance, Shenzhen, China.
Jianwei ZhangDepartment of Otolaryngology, Huadong Hospital, Fudan University, Shanghai, China.
Yuehong LiuDepartment of Otolaryngology, Huadong Hospital, Fudan University, Shanghai, China.
Kefeng LiFaculty of Applied Sciences, Macao Polytechnic University, Macau, China.
Zhao HanDepartment of Otolaryngology, Huadong Hospital, Fudan University, Shanghai, China.
Guangwu LinDepartment of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Shihong LiDepartment of Radiology, Huadong Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Tinnitus is considered a neurological disorder affecting both auditory and nonauditory networks. This study aimed to investigate the structural brain covariance network in tinnitus patients and analyze its altered topological properties. Materials: Fifty three primary tinnitus patients and 67 age- and sex-matched healthy controls (HCs) were included. Gray matter volume (GMV) of each participant was extracted using voxel-based morphometry, a group-level structural covariance network (SCN) was constructed based on the GMV of each participant, and graph theoretic analyses were performed using graph analysis toolbox (GAT). The differences in the topological properties of SCN between both groups were compared and analyzed. Results: Both groups exhibited small-world attributes. Compared with HCs, tinnitus patients had significantly higher characteristic path length, lambda, transitivity, and assortativity ( Conclusion: Tinnitus patients showed reduced small-world properties, altered hub nodes, and reduced ability to respond to targeted attacks in brain network. The GMV in the left angular gyrus and left superior temporal pole showed significant negative correlation with tinnitus distress (THI score), indicating potential therapeutic target.

Indexed as

graph theoretic analysisgray matter volumesmagnetic resonance imagingstructural covariance networktinnitus

Identifiers

PMID39840021
PMCPMC11747764

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