University Medical Center Hamburg-Eppendorf GNU General Public License (GPL) Yes Dept. of Neurophysiology and Pathophysiology NITRC METH Yes METH is a collection of MATLAB functions to conduct data analysis of MEG and EEG data. A detailed documentation is contained in the download. Its main features are: • EEG and MEG forward calculation in realistic volume conductors based on expansions of the lead fields in spherical harmonics. • Inverse Calculations: Dipole fitting for ERFs/ERPs and cross-spectra, MUSIC, RAP-MUSIC, SC-MUSIC, minimum norm source reconstruction, eLoreta, and beamformers. • Power and coupling measures: cross-spectra coherency, cross-bispectra and bicoherence, 1:1 phase locking, power correlation including corrections for artifacts of volume conduction, lagged coherence, phase lag index, multivariate coupling measures robust to artifacts of volume conduction (MIM, MIC, GIM). • Decomposition: MOCA for two or more source distributions • Statistics: false discovery rate and permutation test • Visualization: topo-plots, head-in-head plots and time-frequency plots, MRIs and surface plots (e.g. cortex) including results. METH GNU General Public License (GPL), EEG/MEG, Substance-Related Disorders, Obsessive-Compulsive Disorder, Parkinson Disease http://www.nitrc.org/projects/meth/, http://https://www.uke.de/english/departments-institutes/institutes/neurophysiology-and-pathophysiology/research/working-groups/