Really happy to share that our latest work on "Higher order connectomics of human brain function" is now out in NatComms @naturecomms.bsky.social. One of the most fun projects that I've worked on! Big thanks to the friends involved F Battiston, M Lucas, @lordgrilo.bsky.social, E Amico doi.org/nt34 - ThreadSky

andreasantoro.bsky.social • 93 days ago

Really happy to share that our latest work on "Higher order connectomics of human brain function" is now out in NatComms @naturecomms.bsky.social. One of the most fun projects that I've worked on! Big thanks to the friends involved F Battiston, M Lucas, @lordgrilo.bsky.social, E Amico https://doi.org/nt34

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thelablab.bsky.social•91 days ago

👏🍾

progpk.bsky.social•93 days ago

@skyview.social unroll please

daweonline.bsky.social•91 days ago

📌

andreasantoro.bsky.social•93 days ago

Below a short thread 🧵:
1/n We've uncovered how higher-order interactions, extracted using a topological framework, reveal complexities in human brain fMRI data that traditional models miss. This offers fresh insights into brain function. 🧠✨

andreasantoro.bsky.social•93 days ago

2/n Traditional models focus on pairwise connections b/w brain regions. But the brain isn't just about pairs—it's a network where groups of regions interact together. To capture this, we consider a higher-order TDA approach, building on our recent work: https://www.nature.com/articles/s41567-022-01852-0

andreasantoro.bsky.social•93 days ago

4/n Analyzing fMRI data from the Human Connectome Project, we found that higher-order methods significantly outperform traditional pairwise models in three key areas:

andreasantoro.bsky.social•93 days ago

5/n 1️⃣ Task Decoding: By capturing unique topological patterns of brain activity, our approach better distinguishes between different cognitive tasks. Higher-order connections enhance task distinguishability compared to lower-order approaches! 🧩

andreasantoro.bsky.social•93 days ago

6/n 2️⃣ Individual Identification: Known as "functional brain fingerprinting" 🕵️‍♂️. While higher-order methods may not add much at the whole-brain level, they excel at capturing individual uniqueness within specific networks, such as within and across functional resting-state networks.

andreasantoro.bsky.social•93 days ago

7/n 3️⃣ Brain-Behavior Associations: With higher-order connectivity, we observed stronger links between brain activity and behavior, especially for complex cognitive abilities. Pairwise approaches showed weaker relationships.

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