Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, Milan, Italy.
Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
Brain Imaging Behav. 2022 Dec;16(6):2569-2585. doi: 10.1007/s11682-022-00712-y. Epub 2022 Jul 30.
Task-based functional MRI (tb-fMRI) represents an extremely valuable approach for the identification of language eloquent regions for presurgical mapping in patients with brain tumors. However, its routinely application is limited by patient-related factors, such as cognitive disability and difficulty in coping with long-time acquisitions, and by technical factors, such as lack of equipment availability for stimuli delivery. Resting-state fMRI (rs-fMRI) instead, allows the identification of distinct language networks in a 10-min acquisition without the need of performing active tasks and using specific equipment. Therefore, to test the feasibility of rs-fMRI as a preoperative mapping tool, we reconstructed a lexico-semantic intrinsic connectivity network (ICN) in healthy controls (HC) and in a case series of patients with gliomas and compared the organization of this language network with the one derived from tb-fMRI in the patient's group. We studied three patients with extra-frontal gliomas who underwent functional mapping with auditory verb-generation (AVG) task and rs-fMRI with a seed in the left inferior frontal gyrus (IFG). First, we identified the functional connected areas to the IFG in HC. We qualitatively compared these areas with those that showed functional activation in AVG task derived from Neurosynth meta-analysis. Last, in each patient we performed single-subject analyses both for rs- and tb-fMRI, and we evaluated the spatial overlap between the two approaches. In HC, the IFG-ICN network showed a predominant left fronto-temporal functional connectivity in regions overlapping with the AVG network derived from a meta-analysis. In two patients, rs- and tb-fMRI showed comparable patterns of activation in left fronto-temporal regions, with different levels of contralateral activations. The third patient could not accomplish the AVG task and thus it was not possible to make any comparison with the ICN. However, in this patient, task-free approach disclosed a consistent network of fronto-temporal regions as in HC, and additional parietal regions. Our preliminary findings support the value of rs-fMRI approach for presurgical mapping, particularly for identifying left fronto-temporal core language-related areas in glioma patients. In a preoperative setting, rs-fMRI approach could represent a powerful tool for the identification of eloquent language areas, especially in patients with language or cognitive impairments.
任务型功能磁共振成像(tb-fMRI)是一种非常有价值的方法,可用于识别脑肿瘤患者术前映射的语言流畅区域。然而,由于患者相关因素(如认知障碍和难以长时间采集)和技术因素(如缺乏刺激传递设备),其常规应用受到限制。静息态功能磁共振成像(rs-fMRI)则允许在无需执行主动任务和使用特定设备的情况下,通过 10 分钟的采集来识别不同的语言网络。因此,为了测试 rs-fMRI 作为术前映射工具的可行性,我们在健康对照组(HC)和胶质瘤患者系列中重建了词汇语义内在连通性网络(ICN),并比较了该语言网络在患者组中的组织与从 tb-fMRI 中获得的语言网络的组织。我们研究了 3 例额叶外胶质瘤患者,他们接受了听觉动词生成(AVG)任务的功能映射和左额下回(IFG)种子的 rs-fMRI。首先,我们在 HC 中确定了与 IFG 功能连接的区域。我们将这些区域与神经综合元分析得出的 AVG 任务中的功能激活区域进行了定性比较。最后,我们在每个患者中都进行了 rs-fMRI 和 tb-fMRI 的单例分析,并评估了两种方法之间的空间重叠。在 HC 中,IFG-ICN 网络显示出与 AVG 网络重叠的左额颞叶功能连接,该网络来自于元分析。在 2 例患者中,rs-fMRI 和 tb-fMRI 显示了左额颞区相似的激活模式,但对侧激活程度不同。第 3 例患者无法完成 AVG 任务,因此无法与 ICN 进行任何比较。然而,在该患者中,无任务方法显示出与 HC 中一致的额颞区网络,以及额外的顶叶区域。我们的初步发现支持 rs-fMRI 方法用于术前映射的价值,特别是在识别胶质瘤患者的左额颞核心语言相关区域方面。在术前环境中,rs-fMRI 方法可能是识别语言流畅区域的有力工具,特别是在语言或认知障碍患者中。