Evidence map›Paper›PMID 38784092›Full record

ArticleFrontiers in neuroscience2024

Aberrant individual structure covariance network in patients with mesial temporal lobe epilepsy.

Yuda Huang, Ningrui Wang, Wei Li, Tao Feng, Huaqiang Zhang, Xiaotong Fan, Sichang Chen, Yihe Wang, Yongzhi Shan, Penghu Wei and 1 more

Abstract read
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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yuda HuangDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Ningrui WangDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Wei LiDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Tao FengDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Huaqiang ZhangDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Xiaotong FanDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Sichang ChenDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Yihe WangDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Yongzhi ShanDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Penghu WeiDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.
Guoguang ZhaoDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mesial temporal lobe epilepsy (mTLE) is a complex neurological disorder that has been recognized as a widespread global network disorder. The group-level structural covariance network (SCN) could reveal the structural connectivity disruption of the mTLE but could not reflect the heterogeneity at the individual level. Methods: This study adopted a recently proposed individual structural covariance network (IDSCN) method to clarify the alternated structural covariance connection mode in mTLE and to associate IDSCN features with the clinical manifestations and regional brain atrophy. Results: We found significant IDSCN abnormalities in the ipsilesional hippocampus, ipsilesional precentral gyrus, bilateral caudate, and putamen in mTLE patients than in healthy controls. Moreover, the IDSCNs of these areas were positively correlated with the gray matter atrophy rate. Finally, we identified several connectivities with weak associations with disease duration, frequency, and surgery outcome. Significance: Our research highlights the role of hippo-thalamic-basal-cortical circuits in the pathophysiologic process of disrupted whole-brain morphological covariance networks in mTLE, and builds a bridge between brain-wide covariance network changes and regional brain atrophy.

Indexed as

drug resistant epilepsygray matter volumehippocampal sclerosismesial temporal lobe epilepsystructure covariance network

Identifiers

PMID38784092
PMCPMC11112066

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