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静息态功能磁共振成像引导的经颅磁刺激通过交替的经颅磁刺激/功能磁共振成像索引导致皮质下和脑网络调制。

Resting fMRI-guided TMS results in subcortical and brain network modulation indexed by interleaved TMS/fMRI.

作者信息

Oathes Desmond J, Zimmerman Jared P, Duprat Romain, Japp Seda S, Scully Morgan, Rosenberg Benjamin M, Flounders Matthew W, Long Hannah, Deluisi Joseph A, Elliott Mark, Shandler Gavriella, Shinohara Russell T, Linn Kristin A

机构信息

Department of Psychiatry, Center for Neuromodulation in Depression and Stress, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.

Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, USA.

出版信息

Exp Brain Res. 2021 Apr;239(4):1165-1178. doi: 10.1007/s00221-021-06036-5. Epub 2021 Feb 9.

Abstract

Traditional non-invasive imaging methods describe statistical associations of functional co-activation over time. They cannot easily establish hierarchies in communication as done in non-human animals using invasive methods. Here, we interleaved functional MRI (fMRI) recordings with non-invasive transcranial magnetic stimulation (TMS) to map causal communication between the frontal cortex and subcortical target structures including the subgenual anterior cingulate cortex (sgACC) and the amygdala. Seed-based correlation maps from each participant's resting fMRI scan determined individual stimulation sites with high temporal correlation to targets for the subsequent TMS/fMRI session(s). The resulting TMS/fMRI images were transformed to quantile responses, so that regions of high-/low-quantile response corresponded to the areas of the brain with the most positive/negative evoked response relative to the global brain response. We then modeled the average quantile response for a given region (e.g., structure or network) to determine whether TMS was effective in the relative engagement of the downstream targets. Both the sgACC and amygdala were differentially influenced by TMS. Furthermore, we found that the sgACC distributed brain network was modulated in response to fMRI-guided TMS. The amygdala, but not its distributed network, also responded to TMS. Our findings suggest that individual targeting and brain response measurements reflect causal circuit mapping to the sgACC and amygdala in humans. These results set the stage to further map circuits in the brain and link circuit pathway integrity to clinical intervention outcomes, especially when the intervention targets specific pathways and networks as is possible with TMS.

摘要

传统的非侵入性成像方法描述了功能共激活随时间的统计关联。它们无法像使用侵入性方法在非人类动物中那样轻易地建立通信层次结构。在这里,我们将功能磁共振成像(fMRI)记录与非侵入性经颅磁刺激(TMS)交错进行,以绘制额叶皮层与包括膝下前扣带回皮层(sgACC)和杏仁核在内的皮层下目标结构之间的因果通信图谱。从每个参与者的静息fMRI扫描中获得的基于种子点的相关图谱确定了与后续TMS/fMRI实验中目标具有高时间相关性的个体刺激部位。将所得的TMS/fMRI图像转换为分位数响应,使得高分位数/低分位数响应区域对应于相对于全脑响应具有最正/负诱发响应的脑区。然后,我们对给定区域(例如结构或网络)的平均分位数响应进行建模,以确定TMS在下游目标的相对参与中是否有效。sgACC和杏仁核均受到TMS的不同影响。此外,我们发现sgACC分布的脑网络在fMRI引导的TMS作用下发生了调制。杏仁核及其分布网络以外的区域也对TMS有反应。我们的研究结果表明,个体靶向和脑反应测量反映了人类大脑中与sgACC和杏仁核的因果回路映射。这些结果为进一步绘制大脑回路以及将回路通路完整性与临床干预结果联系起来奠定了基础,特别是当干预针对特定通路和网络时,如TMS所实现的那样。

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