Template MRI scans reliably approximate individual and group-level tES and TMS electric fields induced in motor and prefrontal circuits.

IF 3.4 3区医学 Q2 NEUROSCIENCES Frontiers in Neural Circuits Pub Date : 2023-09-06 eCollection Date: 2023-01-01 DOI:10.3389/fncir.2023.1214959

Jennifer Y Cho, Sybren Van Hoornweder, Christopher T Sege, Michael U Antonucci, Lisa M McTeague, Kevin A Caulfield

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Abstract

Background: Electric field (E-field) modeling is a valuable method of elucidating the cortical target engagement from transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES), but it is typically dependent on individual MRI scans. In this study, we systematically tested whether E-field models in template MNI-152 and Ernie scans can reliably approximate group-level E-fields induced in N = 195 individuals across 5 diagnoses (healthy, alcohol use disorder, tobacco use disorder, anxiety, depression).

Methods: We computed 788 E-field models using the CHARM-SimNIBS 4.0.0 pipeline with 4 E-field models per participant (motor and prefrontal targets for TMS and tES). We additionally calculated permutation analyses to determine the point of stability of E-fields to assess whether the 152 brains represented in the MNI-152 template is sufficient.

Results: Group-level E-fields did not significantly differ between the individual vs. MNI-152 template and Ernie scans for any stimulation modality or location (p > 0.05). However, TMS-induced E-field magnitudes significantly varied by diagnosis; individuals with generalized anxiety had significantly higher prefrontal and motor E-field magnitudes than healthy controls and those with alcohol use disorder and depression (p < 0.001). The point of stability for group-level E-field magnitudes ranged from 42 (motor tES) to 52 participants (prefrontal TMS).

Conclusion: MNI-152 and Ernie models reliably estimate group-average TMS and tES-induced E-fields transdiagnostically. The MNI-152 template includes sufficient scans to control for interindividual anatomical differences (i.e., above the point of stability). Taken together, using the MNI-152 and Ernie brains to approximate group-level E-fields is a valid and reliable approach.

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模板MRI扫描可靠地近似于运动和前额叶电路中诱导的个体和群体水平的tES和TMS电场。

背景：电场（E场）建模是从经颅磁刺激（TMS）和经颅电刺激（tES）中阐明皮层目标参与的一种有价值的方法，但它通常依赖于个体MRI扫描。在本研究中，我们系统地测试了模板MNI-152和Ernie扫描中的电场模型是否能够可靠地近似于在5种诊断（健康、酒精使用障碍、烟草使用障碍、焦虑、抑郁）中N=195个人中诱导的群体水平电场。方法：我们使用CHARM SimNIBS 4.0.0管道计算了788个电场模型，每个参与者有4个电场模型（TMS和tES的运动和前额叶靶点）。我们还计算了排列分析，以确定电场的稳定点，从而评估MNI-152模板中表示的152个大脑是否足够。结果：在任何刺激方式或位置，个体与MNI-152模板和Ernie扫描之间的组水平电场没有显著差异（p>0.05）。然而，TMS诱导的电场大小因诊断而异；患有广泛性焦虑的个体的前额叶和运动电场强度显著高于健康对照组和有酒精使用障碍和抑郁症的个体（p＜0.001）。组水平电场强度的稳定点从42（运动tES）到52（前额叶TMS）。结论：MNI-152和Ernie模型可靠地估计了组平均TMS和tES诱导的E字段转换诊断。MNI-152模板包括足够的扫描，以控制个体间的解剖差异（即，高于稳定点）。总之，使用MNI-152和Ernie大脑来近似组级电场是一种有效和可靠的方法。

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

Frontiers in Neural Circuits NEUROSCIENCES-

CiteScore

6.00

自引率

5.70%

发文量

135

审稿时长

4-8 weeks

期刊介绍： Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.