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

Alexandre Gramfort alexandre.gramfort at inria.fr
Fri Oct 22 16:34:33 EDT 2021
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thanks for sharing Andrea !

really cool work

Alex

On Fri, Oct 22, 2021 at 3:10 PM Andrea Brovelli <andrea.brovelli at univ-amu.fr>
wrote:

>         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>
> <andrea.brovelli at univ-amu.fr> and Etienne Combrisson
> <e.combrisson at gmail.com> <e.combrisson at gmail.com>
>
> Best,
>
> Andrea and Etienne
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