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• Xiang Wu (admin)

[Xiang Wu]

What's mfeeg
mfeeg is a package composed of short m files(matlab program) for electroencephalography (EEG) analysis.

The aim of mfeeg is not to provide a graphical-user-interface (mfeeg is command line based) and a comprehensive toolbox with a huge body, but to discuss (with you) about various problems met in eeg analysis using the "language" of short m files. Each file in mfeeg is very short and easy to read, thus making it clear that how a given algorithm is implemented.
mfeeg is distributed under GPL. I hope it will be useful to you and contribute to the scientific open source society. Welcome to discuss with me, find bugs, and propose improvements via rwfwuwx@gmail.com.

What mfeeg can do
I would refer the readers to our published papers using mfeeg as listed below.

What mfeeg can't do
1 pca & ica
Which can be done by eeglab, or commercial software neuroscan.

2 source analysis
Which can be done by the plugin of eeglab, spm, or commercial software curry.

Publications with mfeeg

Zhou P#, Wu Q#, Zhan L#, Guo Z, Wang C, Wang S, Yang Q, Lin J, Zhang F, Liu L, Lin D, Fu W Wu X (2023) Alpha peak activity in resting-state EEG is associated with depressive score. Frontiers in Neuroscience 17: 1057908.

Gu L#, Wang Y#, Feng L, Li S, Zhang M, Ye Q, Zhuang Y, Lu Z-L, Li J, Yuan J (2021) Meridian-Specific and Post-Optical Deficits of Spatial Vision in Human Astigmatism: Evidences From Psycho-Physical and EEG Scalings. Frontiers in Psychology 12.

Gu L#, Deng S#, Feng L#, Yuan J, Chen Z, Yan J, Qiu X, Wang Z, Yu M, Chen Z, Wu X, Li J, Lu Z-L (2020) Effects of Monocular Perceptual Learning on Binocular Visual Processing in Adolescent and Adult Amblyopia. iScience 23:100875.

X. Wu*, L. Zhou, C. Qian, L. Gan, D. Zhang, Attentional modulations of the early and later stages of the neural processing of visual completion. Scientific Reports. 5, 8346 (2015).

X. Wu, D. Zhang*, Early induced beta/gamma activity during illusory contour perception. Neuroscience Letters. 462, 244–247 (2009).

X. Wu, X. Chen, Z. Li, S. Han, D. Zhang, Binding of verbal and spatial information in human working memory involves large-scale neural synchronization at theta frequency. Neuroimage. 35, 1654–62 (2007).