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Reposted by Anja Samardzija

Francesca Mandino @francimandi.bsky.social · 31/10/2025

Talking about spooky stuff…try to do awake mouse fMRI. Oh, you want it spookier? Try to add simultaneous Ca2+ imaging. Now, do it all again, longitudinally…. So proud to finally have this out!!! 🐭 🧠 🧲 Go read…if you dare!! 👻 www.biorxiv.org/content/10.1...

biorxiv.org

Longitudinal, simultaneous wide-field fluorescent Ca2+ imaging and fMRI in awake mice

Functional magnetic resonance imaging (fMRI) can be applied in mice and humans making it a key technology in translational neuroimaging research. Yet, most neuroimaging studies in rodents use anesthes...

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 18/12/2024

Now that those #OHBM abstracts are done - think about submitting to this connectivity workshop. Stellar lineup of speakers is set! Register (and submit abstracts) here - medicine.yale.edu/mrrc/about/s... deadline is Jan 10, 2025.

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 26/11/2024

Using the cognitive construct networks for example, one can rank order tests by how much a particular network contributes to performance.

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 26/11/2024

This provides a biologically based approach for evaluating existing tests - such as the standardized tests that have been around for more than 60 years. And it provide a brain-based metric for developing better tests that interrogate specific systems.

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 26/11/2024

We show that composite scores yield better brain-behavior models (using the same fMRI data) if their subscores all rely on the same proportional networks - but yield degraded models if the subscores tap different systems - Suggesting a framework for forming improved composites.

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 26/11/2024

This approach also provides a brain-based method for combining scores from different tests to better interrogate specific networks of interest. The approach is general in the sense that any networks of interest can be predefined and used for analyses.

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 26/11/2024

A cool aspect of this in developing new external test measures, is that once you have a cohort of subjects with imaging data, the imaging doesn't need to be repeated - different tests can be developed and modeled using the same subjects and their original imaging data.

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Reposted by Anja Samardzija

Todd Constable @toddc.bsky.social · 26/11/2024

Nice work from Anja Samardzija and team. Instead of using CPM to identify networks, networks are predefined and used to evaluate external measures. This provides a framework for the development of improved tests assessing specific brain networks. www.biorxiv.org/content/10.1...

biorxiv.org

Testing the Tests: Using Connectome-Based Predictive Models to Reveal the Systems Standardized Tests and Clinical Symptoms are Reflecting

Neuroimaging has achieved considerable success in elucidating the neurophysiological underpinnings of various brain functions. Tools such as standardized cognitive tests and symptom inventories have p...

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