Hello All,
Some of you may have heard of the iCAP (innovation driven co-activation patterns) analysis toolbox developed by the miplab at the EPFL (iCAPs Toolbox ‐ EPFL). It is a dynamic functional connectivity analysis method where you can disentangle the spatial and temporal information and have a detailed look at how each cluster evolves over time or together during rest or task! Its been used mostly in the brain (typical 
), but there are a couple papers out there of people using it in the spinal cord. I have translated the toolbox from matlab into python to help bring it to a wider audience and hopefully make it more accessible to different research labs!
Please access the tool box here (GitHub - scottensel/iCAPy · GitHub). Let me know if there are any issues and I will do my best to fix whatever it is. I hope this toolbox can help to evolve the biomarkers we find within the spinal cord and push spinal cord fMRI into more researcher’s minds.
Spinal cord fMRI papers that have used iCAPs:
Kinany N, Pirondini E, Micera S et al. Dynamic Functional Connectivity of Resting-State Spinal Cord fMRI Reveals Fine-Grained Intrinsic Architecture, Neuron, 2020; 108, 424-435.e4
N. Kinany, A. Khatibi, O. Lungu, J. Finsterbusch, C. Büchel, V. Marchand-Pauvert, D. Van De Ville, S. Vahdat, J. Doyon, Decoding cerebro-spinal signatures of human behavior: Application to motor sequence learning, NeuroImage, Volume 275, 2023, 120174, ISSN 1053-8119, Redirecting.
Caroline Landelle, Nawal Kinany, Benjamin De Leener, Nicholas D. Murphy, Ovidiu Lungu, Véronique Marchand-Pauvert, Dimitri Van De Ville, Julien Doyon; Cerebro-spinal somatotopic organization uncovered through functional connectivity mapping. Imaging Neuroscience 2024; 2 imag–2–00284. doi: https://doi.org/10.1162/imag_a_00284
Landelle C, Kinany K, St-Onge S, Lungu O, Van De Ville D, Misic B, Marchand-Pauvert V, De Leener B, Doyon J. Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan bioRxiv 2025.10.02.679488; doi: https://doi.org/10.1101/2025.10.02.679488