1/ Thrilled to share *two* related pre-prints in which we introduce an edge-centric approach for modeling functional brain networks. Buckle in, this thread is going to be longer than normal.

biorxiv.org/content/10.110…
biorxiv.org/content/10.110… 2/ First and foremost, I want to note that both papers are collaborations between @networks_lab and @spornslab (that’s right – the band is back together) and represent the efforts of an amazing group of graduate students and postdocs @joshfasky, @Farnaz_zm, and @Jo_Youngheun.

The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability | with @max_bertolero @DaniSBassett @gordonneuro @GrattonCaterina @ndosenbach | Now in press @NeuroImage_EiC | bit.ly/30oWFxV | 1/ We use multi-layer modularity maximization to estimate communities for multiple subjects simultaneously. This avoids the sometimes challenging issue of mapping communities between subjects, gives us consensus communities for free, and makes it possible to assess variability