Sun Yinming, Lucas Molly V, Cline Christopher C, Menezes Matthew C, Kim Sanggyun, Badami Faizan S, Narayan Manjari, Wu Wei, Daskalakis Zafiris J, Etkin Amit, Saggar Manish
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Department of Psychiatry, University of California San Diego, San Diego, CA, USA.
bioRxiv. 2024 Jun 17:2024.06.16.599236. doi: 10.1101/2024.06.16.599236.
Large-scale networks underpin brain functions. How such networks respond to focal stimulation can help decipher complex brain processes and optimize brain stimulation treatments. To map such stimulation-response patterns across the brain non-invasively, we recorded concurrent EEG responses from single-pulse transcranial magnetic stimulation (i.e., TMS-EEG) from over 100 cortical regions with two orthogonal coil orientations from one densely-sampled individual. We also acquired Human Connectome Project (HCP)-styled diffusion imaging scans (six), resting-state functional Magnetic Resonance Imaging (fMRI) scans (120 mins), resting-state EEG scans (108 mins), and structural MR scans (T1- and T2-weighted). Using the TMS-EEG data, we applied network science-based community detection to reveal insights about the brain's causal-functional organization from both a stimulation and recording perspective. We also computed structural and functional maps and the electric field of each TMS stimulation condition. Altogether, we hope the release of this densely sampled (n=1) dataset will be a uniquely valuable resource for both basic and clinical neuroscience research.
大规模网络是大脑功能的基础。此类网络如何响应局部刺激有助于解读复杂的大脑过程并优化脑刺激治疗。为了以非侵入性方式绘制全脑的此类刺激 - 反应模式,我们从一名高密度采样个体的100多个皮质区域记录了单脉冲经颅磁刺激(即TMS - EEG)的同步脑电图反应,采用了两个正交线圈方向。我们还获取了人类连接体计划(HCP)样式的扩散成像扫描(6次)、静息态功能磁共振成像(fMRI)扫描(120分钟)、静息态脑电图扫描(108分钟)以及结构磁共振扫描(T1加权和T2加权)。利用TMS - EEG数据,我们应用基于网络科学的社区检测方法,从刺激和记录两个角度揭示有关大脑因果功能组织的见解。我们还计算了每种TMS刺激条件下的结构和功能图谱以及电场。总体而言,我们希望这个高密度采样(n = 1)数据集的发布将成为基础和临床神经科学研究的独特宝贵资源。