Deriving causal relationships in resting-state functional connectivity using SSFO-based optogenetic fMRI.
Deriving causal relationships in resting-state functional connectivity using SSFO-based optogenetic fMRI.
复制标题
DOI：
10.1088/1741-2552/ac9d66
复制
发表时间：
2022-11-08
影响因子：
4
通讯作者：
Zhang N
中科院分区：
文献类型：
--
作者：
Han X;Cramer SR;Zhang N
大脑网络作为功能上相互连接的大脑区域的集合已经被广泛研究。然而，对大脑功能至关重要的全脑功能连接的因果关系的研究仍然具有挑战性。我们的目的是研究使用稳定的阶跃功能视蛋白（SSFO）为基础的光遗传学功能磁共振成像（opto-fMRI）推断大脑网络中的因果关系（即方向信息）的可行性。我们在静息态啮齿动物模型中将基于SSFO的光遗传学与fMRI相结合，研究局部兴奋性增加如何影响全脑神经活动和静息态功能连接（RSFC）。我们将Pearson相关性和偏相关性分析纳入图形模型中，以推导出表现出RSFC调制的连接中的方向信息。当齿状回（DG）被SSFO激活致敏时，我们发现与DG相关的几个脑区的活动和连接性发生了显着变化，特别是在内侧前额叶皮层（mPFC）。我们的因果推理结果显示了84-100%的准确率相比，基于解剖跟踪数据的方向信息。本研究建立了一个系统来研究局部区域活动和RSFC调制之间的关系，并提供了一种方法来分析大脑区域之间的潜在因果关系。
The brain network has been extensively studied as a collection of brain regions that are functionally inter-connected. However, the study of the causal relationship in brain-wide functional connectivity, which is critical to the brain function, remains challenging. We aim to examine the feasibility of using stabilized step-function opsin (SSFO)-based optogenetic fMRI (opto-fMRI) to infer the causal relationship (i.e. directional information) in the brain network. We combined SSFO-based optogenetics with fMRI in a resting-state rodent model to study how a local increase of excitability affects brain-wide neural activity and resting-state functional connectivity (RSFC). We incorporated Pearson’s correlation and partial correlation analyses in a graphic model to derive the directional information in connections exhibiting RSFC modulations. When the dentate gyrus (DG) was sensitized by SSFO activation, we found significantly changed activity and connectivity in several brain regions associated with the DG, particularly in the medial prefrontal cortex (mPFC). Our causal inference result shows an 84–100% accuracy rate compared to the directional information based on anatomical tracing data. This study establishes a system to investigate the relationship between local region activity and RSFC modulation, and provides a way to analyze the underlying causal relationship between brain regions.
登录
查看更多内容
影响因子：
2.9
作者：
Kahn I;Knoblich U;Desai M;Bernstein J;Graybiel AM;Boyden ES;Buckner RL;Moore CI
通讯作者：
Moore CI
DOI：
10.1073/pnas.0308577100
发表时间：
2004-02-24
影响因子：
11.1
作者：
Brivanlou, IH;Dantzker, JLM;Callaway, EM
通讯作者：
Callaway, EM
影响因子：
64.8
作者：
通讯作者：
--
DOI：
10.1126/science.aac9698
发表时间：
2016-01-01
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Ferenczi EA;Zalocusky KA;Liston C;Grosenick L;Warden MR;Amatya D;Katovich K;Mehta H;Patenaude B;Ramakrishnan C;Kalanithi P;Etkin A;Knutson B;Glover GH;Deisseroth K
通讯作者：
Deisseroth K
影响因子：
5.7
作者：
Christie, Isabel N.;Wells, Jack A.;Lythgoe, Mark F.
通讯作者：
Lythgoe, Mark F.