Assessing Language Lateralization through Gray Matter Volume: Implications for Preoperative Planning in Brain Tumor Surgery.

IF 2.7 3区 医学 Q3 NEUROSCIENCES
Daniel Solomons, Maria Rodriguez-Fernandez, Francisco Mery-Muñoz, Leonardo Arraño-Carrasco, Francisco Sahli Costabal, Carolina Mendez-Orellana
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引用次数: 0

Abstract

Background/objectives: Functional MRI (fMRI) is widely used to assess language lateralization, but its application in patients with brain tumors can be hindered by cognitive impairments, compensatory neuroplasticity, and artifacts due to patient movement or severe aphasia. Gray matter volume (GMV) analysis via voxel-based morphometry (VBM) in language-related brain regions may offer a stable complementary approach. This study investigates the relationship between GMV and fMRI-derived language lateralization in healthy individuals and patients with left-hemisphere brain tumors, aiming to enhance accuracy in complex cases.

Methods: The MRI data from 22 healthy participants and 28 individuals with left-hemisphere brain tumors were analyzed. Structural T1-weighted and functional images were obtained during three language tasks. Language lateralization was assessed based on activation in predefined regions of interest (ROIs), categorized as typical (left) or atypical (right or bilateral). The GMV in these ROIs was measured using VBM. Linear regressions explored GMV-lateralization associations, and logistic regressions predicted the lateralization based on the GMV.

Results: In the healthy participants, typical left-hemispheric language dominance correlated with higher GMV in the left pars opercularis of the inferior frontal gyrus. The brain tumor participants with atypical lateralization showed increased GMV in six right-hemisphere ROIs. The GMV in the language ROIs predicted the fMRI language lateralization, with AUCs from 80.1% to 94.2% in the healthy participants and 78.3% to 92.6% in the tumor patients.

Conclusions: GMV analysis in language-related ROIs effectively complements fMRI for assessing language dominance, particularly when fMRI is challenging. It correlates with language lateralization in both healthy individuals and brain tumor patients, highlighting its potential in preoperative language mapping. Further research with larger samples is needed to refine its clinical utility.

通过灰质体积评估语言侧化:脑肿瘤手术术前规划的意义。
背景/目的:功能磁共振成像(fMRI)被广泛用于评估语言侧化,但其在脑肿瘤患者中的应用可能会受到认知障碍、代偿性神经可塑性以及患者运动或严重失语导致的伪影的阻碍。通过体素形态计量学(VBM)对语言相关脑区进行灰质体积(GMV)分析可能会提供一种稳定的补充方法。本研究调查了健康人和左半球脑肿瘤患者的灰质体积与 fMRI 衍生语言侧化之间的关系,旨在提高复杂病例的准确性:分析了 22 名健康参与者和 28 名左半球脑肿瘤患者的 MRI 数据。方法:分析了22名健康参与者和28名左半球脑肿瘤患者的核磁共振成像数据。语言侧化是根据预定感兴趣区(ROI)的激活情况进行评估的,分为典型(左侧)和非典型(右侧或双侧)。这些 ROI 中的 GMV 采用 VBM 测量。线性回归探讨了GMV与侧化的关联,逻辑回归根据GMV预测了侧化:结果:在健康参与者中,典型的左半球语言优势与额下回左侧厣旁的较高 GMV 相关。脑肿瘤患者的不典型侧向性表现为右半球六个 ROI 的 GMV 增加。语言 ROI 中的 GMV 预测了 fMRI 的语言侧化,健康参与者的 AUC 为 80.1% 至 94.2%,肿瘤患者的 AUC 为 78.3% 至 92.6%:结论:语言相关 ROI 的 GMV 分析能有效补充 fMRI 对语言优势的评估,尤其是在 fMRI 难以评估的情况下。它与健康人和脑肿瘤患者的语言侧化相关,突出了其在术前语言图谱中的潜力。还需要对更大样本进行进一步研究,以完善其临床实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain Sciences
Brain Sciences Neuroscience-General Neuroscience
CiteScore
4.80
自引率
9.10%
发文量
1472
审稿时长
18.71 days
期刊介绍: Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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