[Mne_analysis] Frites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological data

[Andrea Brovelli]

        External Email - Use Caution        

Dear all,

Frites is a Python package for information theoretical and functional 
connectivity analysis with group-level statistics on neurophysiological 
data and task-related cognitive brain networks.

We were wondering whether it would be worth adding it to the the Related 
software 
<https://secure-web.cisco.com/1v309_WMys3SQ5BErdcNWSuDNXFNvaGF3r6nTesQC9A-fmYZPzR-TFi0qxTG1Jk4qAmhQch_5gPaNJhYurHDBEesrX32_RzpjHIehW3LTKi8tr3fy5Je1YPqVhMJyK8JiD_ZkKg00X2QoXUw2HFl4s4uxSemANsLuptISddqrYBmJ1V1HmVf7C57KiqgLmvEIsRH1wP7iDcDb2OMzHIv0joNK10-NJ_n1RD3b80AXGfnAQxfNPQvsdKrrW6AxCi1QzYAnS3Qa6JSiYX2h_OVlSA/https%3A%2F%2Fmne.tools%2Fstable%2Finstall%2Fpre_install.html%3Fhighlight%3Dautoreject%23related-software> 
web page of MNE-Python

It's fully compatible with MNE-Python and it has several features that 
could be interesting for your projects, such as:

  * Single-trial and time-resolved Functional Connectivity measures (MI,
    Granger causality
  * Allows both whole-brain (EEG and MEG) and sparse (SEEG, ECoG and
    LFP) data
  * Single-participant and group-level statistical inference on
    single-area and FC measures (permutation cluster-based statistics,
    FDR, etc)
  * And much more :)

If you are interested in learning more, you can have a look at the 
papers describing the statistical framework 
<https://secure-web.cisco.com/1YmC0k8J8r5bB_prPD9wd-x84-o0M5Yykbbzpal8DVZ7WhndfGKgoLMHXiqXYo9vdxKovzraSSBZc17KtkARX9HvDncEdiIaFZF81cmjT1rtsW8lblOOhZXOaSfFKgq9lcg_E1jqgs1VzcoElv5POgjS6acDmWe99vvCNgLopmA6lXIGCO3yZnp5acu0EBdQb1qbSo9-xfE0wULPBXyAKHJ4axpKDSy2i82-q9pgqIrM8g3yeG37c373wpgVXARCNuW4pPY0O8CJVin3xO-G1SA/https%3A%2F%2Fwww.biorxiv.org%2Fcontent%2F10.1101%2F2021.08.14.456339v1.abstract> 
and toolbox <https://secure-web.cisco.com/1WF8hRRXN4Ehqsn-6YXWQkL-xCw2ap5l_z8HzpLuU81Z-35alZ2NOFPC5E5ng4z46KLMTVlLePV54gHc9_jQoZ2dxlmUtAt9hLIjDwKsF4dEMy-p5T6A37FqquWHl14-ZyXomwDn_HHYemTqWFBsNqgkmj7qfJL7jmz14jPk9spMKcaLednzjjJ8ZvpYf_PrNBq2pTNsLXfnAKoGDQgVr0NXvkXLxEyYCi-CT_WMF2xyvlILKxPvDfk0KA8weQeyCAUm-4laplDvaFU8Ea5O2ug/https%3A%2F%2Fgithub.com%2Fopenjournals%2Fjoss-reviews%2Fissues%2F3746%23>, 
the github <https://secure-web.cisco.com/1996vn8iw3pK760pNvPa0GeInNfvRlnEEKzy4F67tSB8ff7UFL18dFKcKMgVN5ZD0ybnWA04TgjVKKA0PF0Ew28GQS1RhhqEiXMhVnCpiMyd9J7PzSxeUOz4BTApURikXanx8oyto_Sv7_3MoX2yRaOztJul8QF4yehphM-OlvF_9o99eYcBlWdhTIPYWqH-enTJR_w1Dfu3B_a-OTS4lG3FZ7y8L1QZz2re5fWHNjJlRhdAlHp1Q8e16Z7LJWyErMyOBNm9CZEXu9IXOjsucHw/https%3A%2F%2Fgithub.com%2Fbrainets%2Ffrites> code and web 
<https://secure-web.cisco.com/1eIu_SVEmh8t8lamfdAmMgHnyhojvqREE2aU5V5icDxVoVXG-Vkt3JIYL9TEqXxBv4wePHLmKtJSFUnzk1TNO2gpfSIMI_R-8gz4fmn9c1XLjzgTDdh06g0rRJ6kfNC-vInmEkgCBM8CUGgdX3IwVEaPjLQX0xjSgLdw_0kSWSXMsqXaYCm8CoCxcFXJ_n6UaDYq86SltFfqSaG-s0AtPOedOQgQ1nneN97Xm3zAxbn5-YRnCn88DDrt4JoQFah7ahT7QPbpEZDZaCJMK4aa8CA/https%3A%2F%2Fbrainets.github.io%2Ffrites%2F> page. Or contact us Andrea Brovelli 
<andrea.brovelli at univ-amu.fr> and Etienne Combrisson 
<e.combrisson at gmail.com>

Best,

Andrea and Etienne

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