A survey on brain effective connectivity network learning
J Ji, A Zou, J Liu, C Yang, X Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Human brain effective connectivity characterizes the causal effects of neural activities
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …
Evaluation of Granger causality measures for constructing networks from multivariate time series
Granger causality and variants of this concept allow the study of complex dynamical systems
as networks constructed from multivariate time series. In this work, a large number of …
as networks constructed from multivariate time series. In this work, a large number of …
Kernel granger causality based on back propagation neural network fuzzy inference system on fMRI data
Granger causality (GC) is one of the most popular measures to investigate causality
influence among brain regions and has been achieved significant results for exploring brain …
influence among brain regions and has been achieved significant results for exploring brain …
Characterization of mental states through node connectivity between brain signals
Discriminating mental states from brain signals is crucial for many applications in cognitive
and clinical neuroscience. Most of the studies relied on the feature extraction from the …
and clinical neuroscience. Most of the studies relied on the feature extraction from the …
基于功能磁共振成像的人脑效应连接网络识别方法综述
冀俊忠， 邹爱笑， 刘金铎 - 自动化学报, 2021 - aas.net.cn
人脑效应连接网络刻画了脑区间神经活动的因果效应. 对不同人群的脑效应连接网络进行研究
不仅能为神经精神疾病病理机制的理解提供新视角, 而且能为疾病的早期诊断和治疗评价提供新 …
不仅能为神经精神疾病病理机制的理解提供新视角, 而且能为疾病的早期诊断和治疗评价提供新 …