Multi-kernel change detection for dynamic functional connectivity graphs

机译：动态功能连接图的多内核更改检测

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Dynamic functional connectivity (dFC) analyses of fMRI time-courses are typically performed using sliding-window based schemes. Such approaches not only inherently confine analysis to a single time-scale, but also do not generally lend themselves to accurate change-time estimates of the dynamically evolving graph topology. Change point detection methods on the other hand, offer the potential to overcome both limitations. However, the approaches employed so far in the dFC context are limited to detecting changes in linear relationships among time-courses corresponding to distinct regions of the brain. The present work puts forth a novel multi-kernel change point detection approach with the goal of capturing changes in the generally nonlinear relationships among time-courses, and thus in the topologies of the corresponding dynamically evolving FC graphs. The approach is tested on dynamic causal model (DCM) based synthetic resting-state fMRI data.

机译：fMRI时程的动态功能连接（dFC）分析通常使用基于滑动窗口的方案进行。这样的方法不仅将分析固有地限制在单个时间范围内，而且通常不适合于对动态演化的图拓扑进行准确的更改时间估计。另一方面，变化点检测方法提供了克服两个限制的潜力。但是，到目前为止，在dFC上下文中采用的方法仅限于检测与大脑不同区域相对应的时程之间线性关系的变化。本工作提出了一种新颖的多核变化点检测方法，其目的是捕获时间过程之间通常非线性关系的变化，从而捕获相应动态演化的FC图的拓扑变化。该方法在基于动态因果模型（DCM）的合成静止状态fMRI数据上进行了测试。

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《Asilomar Conference on Signals, Systems and Computers》|2017年|1555-1559|共5页
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Georgios Vasileios Karanikolas; Olaf Sporns; Georgios B. Giannakis;
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Kernel; Functional magnetic resonance imaging; Topology; Electronic mail; Brain modeling; Time measurement;

机译：核;功能磁共振成像;拓扑结构;电子邮件;脑模型;时间测量;

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1. Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data [J] . Yuting Xu, Martin A. Lindquist Frontiers in Neuroscience . 2015,第2009期

机译：动态连接检测：一种确定fMRI数据中功能连接变化点的算法
2. Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients [J] . Núria Mancho-Fora, Marc Montalà-Flaquer, Laia Farràs-Permanyer, International Journal of Clinical and Health Psychology . 2020,第3期

机译：轻度认知障碍患者静态功能连通动力学中的网络改变点检测
3. Dynamic functional connectivity and graph theory metrics in a rat model of temporal lobe epilepsy reveal a preference for brain states with a lower functional connectivity, segregation and integration [J] . Neurobiology of disease . 2020,第期

机译：颞叶癫痫大鼠模型中的动态功能连接和图形理论度量揭示了较低功能连通性，隔离和集成的脑状态的偏好
4. Multi-kernel change detection for dynamic functional connectivity graphs [C] . Georgios Vasileios Karanikolas, Olaf Sporns, Georgios B. Giannakis Asilomar Conference on Signals, Systems, and Computers . 2017

机译：动态功能连接图的多内核变化检测
5. Multi-kernel based nonlinear functional connectivity models [D] . Karanikolas, Vasileios Georgios. 2016

机译：基于多核的非线性功能连接模型
6. Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data [O] . Yuting Xu, Martin A. Lindquist 2015

机译：动态连通性检测：一种确定fMRI数据中功能连通性变化点的算法
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Multi-kernel change detection for dynamic functional connectivity graphs

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