Evidence map›Paper›PMID 42079832›Full record

ArticleFrontiers in neurology

Insular glioma and emotional states affect the whole brain network: a task-state electroencephalography study.

Chuanhao Zhang, Zuocheng Yang, Qifeng He, Hongfang Zhao, Xinxin Wang, Zhenghai Deng, Ruquan Han, Zonggang Hou, Jian Xie

Abstract read
In one paragraph

Article in Frontiers in neurology. 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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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

9 authors.

Chuanhao Zhang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zuocheng Yang *Department of Neurosurgery, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Qifeng HeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Hongfang ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xinxin WangDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhenghai DengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ruquan HanDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zonggang HouDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jian XieDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study investigated the effects of insular gliomas on brain functional network dynamics during auditory stimulus processing via task-state electroencephalography (EEG) combined with graph theory analysis. Methods: Thirty-three insular glioma patients (PT) and seventeen healthy controls (HC) underwent auditory Oddball task-based EEG recording. Graph theory analysis was used to assess functional connectivity and core network indices (Cp, locE, gE, Lp, Results: PT and HC had no significant demographic differences, but PT showed lower MoCA/MMSE scores and higher HAMA/HDRS scores (all p0.05 for left). Abnormal beta band functional connections between PT and HC were more extensive under novel (342) than standard stimuli (220); left and right insular glioma patients had 764 and 438 abnormal beta-band connections under novel stimuli, respectively. PT had significantly lower beta band Cp, locE and small-worldness coefficient under novel stimuli than HC, with such reductions only significant in right insular glioma patients. These beta band indices in PT were negatively correlated with HAMA/HDRS scores under novel stimuli, and this correlation was specific to right insular glioma patients (all Conclusion: Insular gliomas impair beta band whole brain functional network integration and small-worldness under novel stimuli, with prominent hemispheric specificity: right insular glioma patients show significant topological indicator damage, while left insular glioma patients maintain stable networks via left dominant hemisphere interhemispheric compensatory plasticity. Beta band Cp, locE and small-worldness coefficient under novel stimuli are potential neurophysiological indicators for insular glioma assessment, especially for right insular lesions. These indices are closely associated with anxiety and depression in right insular glioma patients, highlighting the need to consider tumor laterality in clinical evaluation and implement comprehensive emotional interventions for such patients.

Indexed as

brain networksemotiongliomainsulartask-state electroencephalography

Identifiers

PMID42079832
PMCPMC13132771

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