EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study

Volume: 49, Pages: 419 - 426
Published: Mar 1, 2019
Abstract
In this paper, we introduce electroencephalography (EEG)- PDC based network connectivity average mean degrees (E-PDC) measure to analyze the interhemispheric interaction between the left and right motor cortices after stroke. E-PDC uses a graph and partial directed coherence (PDC) approach to quantify the directional functional connectivity between the motor cortices, which is not only altered after stroke but also is one of the important...
Paper Details
Title
EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study
Published Date
Mar 1, 2019
Volume
49
Pages
419 - 426
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