Review for NeurIPS paper: Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence

Weaknesses: My main concern is that the novelty of the methodology is very limited given abundant previous applications of persistent homology to various images (including fMRI). There is a long list of previous results on applying persistent homology to fMRI, structural MRI (mostly resting-state though), and EEG data (the first published in 2009, "Persistence Diagrams of Cortical Surface Data", IPMI 2009). These methods should have been cited and compared with. I do agree that the findings over the dataset can be potentially impactful. And I think the paper is quite well-written.