Cochereau Jérôme, Deverdun Jérémy, Herbet Guillaume, Charroud Céline, Boyer Anthony, Moritz-Gasser Sylvie, Le Bars Emmanuelle, Molino François, Bonafé Alain, Menjot de Champfleur Nicolas, Duffau Hugues
Department of Neurosurgery, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.
Unité I2FH, Institut d'Imagerie Fonctionnelle Humaine, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.
Hum Brain Mapp. 2016 Nov;37(11):3721-3732. doi: 10.1002/hbm.23270.
To validate the functional relevance of resting state networks (RSNs) by means of a comparison of resting state connectivity (RSC) between language regions elicited by direct cortical stimulation versus RSC between random regions; and to evaluate the accuracy of resting state fMRI in surgical planning by assessing the overlap between RSNs and intraoperative functional mapping results.
Sensorimotor and language eloquent sites were identified by direct electrical cortical stimulation in 98 patients with a diffuse low-grade glioma. A seed to voxel analysis with inter-language stimulation point connectivity versus inter-random ROIs connectivity was performed (19 patients). An independant component analysis (ICA) was also applied to rsfMRI data. Language and sensorimotor components were selected over 20 independent components and compared to the corresponding stimulation points and resected cortex masks (31 and 90 patients, respectively).
Mean connectivity value between language seeds was significantly higher than the one between random seeds (0.68 ± 0.39 and 0.12 ± 0.21 respectively, P < 10 ). 96 ± 11% of sensorimotor stimulation points were located within 10 mm from sensorimotor ICA maps versus 92 ± 21% for language. 3.1 and 15% of resected cortex overlapped sensorimotor and language networks, respectively. Mean sensorimotor stimulation points and resected cortex z-scores were 2.0 ± 1.2 and -0.050 ± 0.60, respectively (P < 10 ). Mean language stimulation points and resected cortex z-scores were 1.6 ± 1.9 and 0.68 ± 0.91, respectively, P < 0.005.
The significantly higher RSC between language seeds than between random seeds validated the functional relevance of RSC. ICA partly succeeded to distinguish eloquent versus surgically removable areas and may be possibly used as a complementary tool to intraoperative mapping. Hum Brain Mapp 37:3721-3732, 2016. © 2016 Wiley Periodicals, Inc.
通过比较直接皮层刺激诱发的语言区域之间的静息态连接性（RSC）与随机区域之间的RSC，验证静息态网络（RSN）的功能相关性；并通过评估RSN与术中功能图谱结果之间的重叠，评估静息态功能磁共振成像在手术规划中的准确性。
在98例弥漫性低级别胶质瘤患者中，通过直接皮层电刺激确定感觉运动和语言明确区域。进行了种子到体素分析，比较语言刺激点之间的连接性与随机感兴趣区域（ROI）之间的连接性（19例患者）。还对静息态功能磁共振成像（rsfMRI）数据应用了独立成分分析（ICA）。从20个独立成分中选择语言和感觉运动成分，并分别与相应的刺激点和切除的皮层掩码进行比较（分别为31例和90例患者）。
语言种子之间的平均连接性值显著高于随机种子之间的连接性值（分别为0.68±0.39和0.12±0.21，P＜10）。96±11%的感觉运动刺激点位于距感觉运动ICA图谱10毫米范围内，而语言刺激点的这一比例为92±21%。切除的皮层分别有3.1%和15%与感觉运动和语言网络重叠。感觉运动刺激点和切除皮层的平均z值分别为2.0±1.2和-0.050±0.60（P＜10）。语言刺激点和切除皮层的平均z值分别为1.6±1.9和0.68±0.91，P＜0.00。
语言种子之间的RSC显著高于随机种子之间的RSC，验证了RSC的功能相关性。ICA部分成功地区分了明确区域与可手术切除区域，可能用作术中图谱的补充工具。《人类脑图谱》37:3721-3732，2016年。©2016威利期刊公司。
