Suppr超能文献

静息态功能磁共振成像网络作为神经外科干预影响的定量指标

Resting-State Functional Magnetic Resonance Imaging Networks as a Quantitative Metric for Impact of Neurosurgical Interventions.

作者信息

Yang Peter H, Hacker Carl D, Patel Bhuvic, Daniel Andy G S, Leuthardt Eric C

机构信息

Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States.

Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States.

出版信息

Front Neurosci. 2021 Oct 29;15:665016. doi: 10.3389/fnins.2021.665016. eCollection 2021.

Abstract

Resting-state functional MRI (rs-fMRI) has been used to evaluate brain network connectivity as a result of intracranial surgery but has not been used to compare different neurosurgical procedures. Laser interstitial thermal therapy (LITT) is an alternative to conventional craniotomy for the treatment of brain lesions such as tumors and epileptogenic foci. While LITT is thought of as minimally invasive, its effect on the functional organization of the brain is still under active investigation and its impact on network changes compared to conventional craniotomy has not yet been explored. We describe a novel computational method for quantifying and comparing the impact of two neurosurgical procedures on brain functional connectivity. We used a previously described seed-based correlation analysis to generate resting-state network (RSN) correlation matrices, and compared changes in correlation patterns within and across RSNs between LITT and conventional craniotomy for treatment of 24 patients with singular intracranial tumors at our institution between 2014 and 2017. Specifically, we analyzed the differences in patient-specific changes in the within-hemisphere correlation patterns of the contralesional hemisphere. In a post-operative follow-up period up to 2 years within-hemisphere connectivity of the contralesional hemisphere after surgery was more highly correlated to the pre-operative state in LITT patients when compared to craniotomy patients ( = 0.0287). Moreover, 4 out of 11 individual RSNs demonstrated significantly higher degrees of correlation between pre-operative and post-operative network connectivity in patients who underwent LITT (all < 0.05). Rs-fMRI may be used as a quantitative metric to determine the impact of different neurosurgical procedures on brain functional connectivity. Global and individual network connectivity in the contralesional hemisphere may be more highly preserved after LITT when compared to craniotomy for the treatment of brain tumors.

摘要

静息态功能磁共振成像(rs-fMRI)已被用于评估颅内手术后的脑网络连通性,但尚未用于比较不同的神经外科手术。激光间质热疗(LITT)是治疗肿瘤和致痫灶等脑病变的传统开颅手术的替代方法。虽然LITT被认为是微创的,但其对大脑功能组织的影响仍在积极研究中,与传统开颅手术相比,其对网络变化的影响尚未得到探索。我们描述了一种新颖的计算方法,用于量化和比较两种神经外科手术对脑功能连通性的影响。我们使用先前描述的基于种子的相关性分析来生成静息态网络(RSN)相关矩阵,并比较了2014年至2017年期间在我们机构接受LITT和传统开颅手术治疗的24例单发颅内肿瘤患者的RSN内和RSN间相关性模式的变化。具体而言,我们分析了对侧半球半球内相关性模式中患者特异性变化的差异。在长达2年的术后随访期内,与开颅手术患者相比,LITT患者术后对侧半球的半球内连通性与术前状态的相关性更高(P = 0.0287)。此外,11个个体RSN中的4个在接受LITT治疗的患者中显示术前和术后网络连通性之间的相关性程度显著更高(均P < 0.05)。Rs-fMRI可作为一种定量指标,用于确定不同神经外科手术对脑功能连通性的影响。与开颅手术治疗脑肿瘤相比,LITT术后对侧半球的整体和个体网络连通性可能得到更好的保留。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/339b/8585791/c6bf4e62ca66/fnins-15-665016-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验