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内在网络结构可预测人脑颅内电刺激所引发的效应。

Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain.

机构信息

Stanford Human Intracranial Cognitive Electrophysiology Program, Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.

School of Medicine, Stanford University, Stanford, CA, USA.

出版信息

Nat Hum Behav. 2020 Oct;4(10):1039-1052. doi: 10.1038/s41562-020-0910-1. Epub 2020 Jul 6.

Abstract

Intracranial electrical stimulation (iES) of the human brain has long been known to elicit a remarkable variety of perceptual, motor and cognitive effects, but the functional-anatomical basis of this heterogeneity remains poorly understood. We conducted a whole-brain mapping of iES-elicited effects, collecting first-person reports following iES at 1,537 cortical sites in 67 participants implanted with intracranial electrodes. We found that intrinsic network membership and the principal gradient of functional connectivity strongly predicted the type and frequency of iES-elicited effects in a given brain region. While iES in unimodal brain networks at the base of the cortical hierarchy elicited frequent and simple effects, effects became increasingly rare, heterogeneous and complex in heteromodal and transmodal networks higher in the hierarchy. Our study provides a comprehensive exploration of the relationship between the hierarchical organization of intrinsic functional networks and the causal modulation of human behaviour and experience with iES.

摘要

颅内电刺激(iES)长期以来一直被认为能引起各种显著的感觉、运动和认知效应,但这种异质性的功能-解剖学基础仍知之甚少。我们对 iES 引起的效应进行了全脑映射,在 67 名植入颅内电极的参与者的 1537 个皮质部位进行 iES 后收集第一人称报告。我们发现,内在网络成员和功能连接的主要梯度强烈预测了给定脑区 iES 诱发效应的类型和频率。虽然皮质层次结构底部的单模态脑网络中的 iES 引起了频繁且简单的效应,但在层次结构较高的异模态和跨模态网络中,效应变得越来越罕见、多样化和复杂。我们的研究全面探讨了内在功能网络的层次组织与 iES 对人类行为和经验的因果调节之间的关系。

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