A cartoon video on MRI created by our high-school intern (and incoming Harvard undergrad) Emma Yeon! Stay tuned for more installments on medical imaging! https://t.co/n7ISYQP7NP
A multi-year project finally comes out! Using EEG-fPET-fMRI, we reveal the intricate coordination of diverse physiological processes during the descent into NREM sleep and the cortical pathway facilitating sensory awakening! @MGHMartinos@NatureComms https://t.co/5VbXm3Ygbi
Introducing CortiLag ICA — an ICA-based denoising pipeline for medium- and high-resolution fMRI data, potentially useful when relevant training data or multi-echo acquisitions are unavailable!
https://t.co/wM02IMmhtq
How much information can be extracted from fMRI physiological signals (“noise”)? Using HCP-A data, Dakota Fan from our lab demonstrates age-related, multi-parametric changes in brain vascular physiology and biomechanical properties! https://t.co/BWLQbPoa4L
fPET-FDG is an exciting method to track intra-scan glucose metabolism dynamics! Sean Coursey from our lab shows that baseline misspecification can introduce spurious metabolic activations—a small step toward more robust statistical analysis with fPET-FDG! https://t.co/yHAa4LaVDj