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个体患者的言语记忆网络映射预测术后功能障碍。

Verbal memory network mapping in individual patients predicts postoperative functional impairments.

机构信息

Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Changping Laboratory, Beijing, China.

出版信息

Hum Brain Mapp. 2024 May;45(7):e26691. doi: 10.1002/hbm.26691.

Abstract

Verbal memory decline is a significant concern following temporal lobe surgeries in patients with epilepsy, emphasizing the need for precision presurgical verbal memory mapping to optimize functional outcomes. However, the inter-individual variability in functional networks and brain function-structural dissociations pose challenges when relying solely on group-level atlases or anatomical landmarks for surgical guidance. Here, we aimed to develop and validate a personalized functional mapping technique for verbal memory using precision resting-state functional MRI (rs-fMRI) and neurosurgery. A total of 38 patients with refractory epilepsy scheduled for surgical interventions were enrolled and 28 patients were analyzed in the study. Baseline 30-min rs-fMRI scanning, verbal memory and language assessments were collected for each patient before surgery. Personalized verbal memory networks (PVMN) were delineated based on preoperative rs-fMRI data for each patient. The accuracy of PVMN was assessed by comparing post-operative functional impairments and the overlapping extent between PVMN and surgical lesions. A total of 14 out of 28 patients experienced clinically meaningful declines in verbal memory after surgery. The personalized network and the group-level atlas exhibited 100% and 75.0% accuracy in predicting postoperative verbal memory declines, respectively. Moreover, six patients with extra-temporal lesions that overlapped with PVMN showed selective impairments in verbal memory. Furthermore, the lesioned ratio of the personalized network rather than the group-level atlas was significantly correlated with postoperative declines in verbal memory (personalized networks: r = -0.39, p = .038; group-level atlas: r = -0.19, p = .332). In conclusion, our personalized functional mapping technique, using precision rs-fMRI, offers valuable insights into individual variability in the verbal memory network and holds promise in precision verbal memory network mapping in individuals.

摘要

语言记忆衰退是癫痫患者进行颞叶手术后的一个严重问题,这强调了在进行手术时需要精确的术前语言记忆定位以优化功能结果。然而,当仅依赖于基于组水平的图谱或解剖学标志进行手术指导时,功能网络和脑功能结构之间的个体间变异性会带来挑战。在这里,我们旨在开发和验证一种使用精确静息态功能磁共振成像(rs-fMRI)和神经外科的语言记忆个性化功能映射技术。共纳入 38 名计划进行手术干预的难治性癫痫患者,其中 28 名患者纳入本研究进行分析。每位患者术前均进行了 30 分钟的基线 rs-fMRI 扫描、语言记忆和语言评估。根据每位患者的术前 rs-fMRI 数据描绘个性化语言记忆网络(PVMN)。通过比较术后功能障碍和 PVMN 与手术损伤之间的重叠程度来评估 PVMN 的准确性。术后 14 名患者出现了有临床意义的语言记忆下降。个性化网络和组水平图谱分别在预测术后语言记忆下降方面的准确率为 100%和 75.0%。此外,6 名伴有与 PVMN 重叠的颞外病变的患者表现出选择性的语言记忆障碍。此外,个性化网络的病变比例而非组水平图谱与术后语言记忆下降显著相关(个性化网络:r=−0.39,p=0.038;组水平图谱:r=−0.19,p=0.332)。总之,我们使用精确 rs-fMRI 的个性化功能映射技术为语言记忆网络的个体间变异性提供了有价值的见解,并有望在个体的精确语言记忆网络映射中发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3919/11069337/3ab1ef210286/HBM-45-e26691-g007.jpg

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