This “source-informed segmentation” is achieved through statistically assessing the temporal variation in the dominant left singular subspace of the EEG ...
In this paper, we propose a data-driven framework to objectively evaluate the dynamics of brain functional connectivity, during task execution, ...
A data-driven framework to objectively evaluate the dynamics of brain functional connectivity, during task execution, from electroencephalography (EEG) ...
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Dive into the research topics of 'Source-informed segmentation: Towards capturing the dynamics of brain functional networks through EEG'. Together they form ...
This paper introduces two pipelines that have been recently used to conduct EEG FC analysis in the cortical source space.
Source-informed segmentation: Towards capturing the dynamics of brain functional networks through EEG. Ali Haddad, Laleh Najafizadeh. 2016 50th Asilomar ...
Aug 12, 2022 · We proposed a source localization method with multimodal integration of EEG and fMRI and tested it in the source-level functional network analysis of emotion ...
Najafizadeh, “Source-informed seg- mentation: Towards capturing the dynamics of brain functional networks through EEG,” in Asilomar Conf. on Signals ...
Dec 19, 2023 · In this work, we design a segmentation method to detect time points at which there are changes in the network structure calculated from EEG, so ...
This paper introduces two pipelines that have been recently used to conduct EEG FC analysis in the cortical source space.