Thank you, Randy!! 😊

@theneuro.bsky.social
@fondsrechercheqc.bsky.social, Yigu Zhou, @jasondasilvac.bsky.social, Justine Hansen, Can Fenerci, Roni Setton, Jenny Rieck, Gary Turnern, Cheryl Grady, Jason Nomi, @misicbata.bsky.social, @lucinauddin.bsky.social, Nathan Spreng

Thank you so much to my supervisor and collaborators on this project, to the reviewers who really helped shape this paper, and to our sources of funding! Happy reading :)

Together, this work shows that BOLD signal variability preserves neurobiological precision, enabling more targeted questions across age, behaviour, disease, and supporting its use in computational modelling and multimodal, systems-level neuroscience!

These results are exciting because they show how fMRI BOLD, despite being a noisy signal, encapsulates spatially heterogeneous, multifactorial and multimodal properties of brain organisation through its temporal variability.

There's a lot in there but the crux of the paper lies in how, in both datasets, BOLD signal variability traced histology, microstructure, transcriptomics, neurotransmitter receptors, metabolism, fMRI static connectivity, and empirical and simulated MEG data.

We looked at both local (i.e., regional) and global (i.e., inter-regional) BOLD signal variability measures in different fMRI datasets that differed in their acquisition protocol (given the impact this has on many fMRI parameters, mostly spatial and temporal resolutions).

🌅🌟!! Congrats friend!!

With my fantastic supervisor @macshine.bsky.social and @elimuller.bsky.social ☺️