iiinova — where your digital self keeps evolving

Reposted by Erik Lee

Matt Cieslak @cieslakmatt.bsky.social · 11/11/2025

After years of development and testing, we are happy to present our work in "Diffusion MRI Processing in the HEALthy Brain and Child Development Study: Innovations and Applications"! www.biorxiv.org/content/10.1.... A thread:

biorxiv.org

Diffusion MRI Processing in the HEALthy Brain and Child Development Study: Innovations and Applications

The landmark ongoing HEALthy Brain and Cognitive Development (HBCD) study will longitudinally chart brain development in a large sample (projected n=7,200) of infants through age 10 years with multimo...

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Erik Lee @erikglee.bsky.social · 22/07/2025

I like this one. They use invasive oxygen polarography to identify a band-limited peak (above background 1/f) around 0.06Hz — notably, this corresponds to the frequency range where they also observe the strongest functional connectivity. www.pnas.org/doi/abs/10.1...

pnas.org

Functional connectivity arises from a slow rhythmic mechanism | PNAS

The mechanism underlying temporal correlations among blood oxygen level-dependent signals is unclear. We used oxygen polarography to better charact...

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Erik Lee @erikglee.bsky.social · 25/10/2023

In the past I have run PCA on the input data first. Another option is to use a regularized variant of CCA that penalizes model complexity. I haven’t messed around with this much, but it looks like the CCA implementation in mvlearn supports regularization

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