Update README.md

README.md

@@ -1,5 +1,3 @@
-[![GitHub stars](https://img.shields.io/github/stars/arnodelorme/roiconnect?color=green&logo=GitHub)](https://github.com/arnodelorme/roiconnect/issues) [![GitHub issues](https://img.shields.io/github/issues/arnodelorme/roiconnect?color=%23fa251e)](https://github.com/arnodelorme/roiconnect/issues) [![GitHub pulls](https://img.shields.io/github/issues-pr-raw/arnodelorme/roiconnect)](https://github.com/arnodelorme/roiconnect/pulls) [![GitHub forks](https://img.shields.io/github/forks/arnodelorme/roiconnect?style=social)](https://github.com/arnodelorme/roiconnect/forks) [![GitHub contributors](https://img.shields.io/github/contributors/arnodelorme/roiconnect?style=social)](https://github.com/arnodelorme/roiconnect/contributors)
-
 # What is ROIconnect?
 
 ROIconnect is a freely available open-source plugin to [EEGLAB](https://github.com/sccn/eeglab) for EEG data analysis. It allows you to perform linear and nonlinear functional connectivity analysis between regions of interest (ROIs) on source level.  The results can be visualized in 2-D and 3-D. ROIs are defined based on popular fMRI atlases, and source localization can be performed through LCMV beamforming or eLORETA. Connectivity analysis can be performed between all pairs of brain regions using Coherence-based methods, Granger Causality, Time-reversed Granger Causality, Multivariate Interaction Measure, Maximized Imaginary Coherency, Phase-amplitude coupling, and other methods. This plugin is compatible with Fieldtrip, Brainstorm and NFT head models.