Earlier quoted context omitted.
I'm not suggesting that we measure the signal emitted by the brain like EEG do. I'm suggesting that we look at the fluids movements like FMRI do but using diffraction like xray-imaging with bigger wavelengths.
>I'm suggesting that we look at the fluids movements like FMRI do but using diffraction like xray-imaging with bigger wavelengths. What would we gain from using RF-diffraction as opposed to MR? The major advantage of fMRI is that you're measuring a so-called Blood-Oxygen-Level-Dependent (BOLD) signal. That is, you're looking at a contrast between oxygenated and de-oxygenated blood, which is more interesting than just…
I gotta say though regarding the other comments on data quality, if a lay person read through the wiki pages on common brain imaging techniques (as I did) including fMRI, it seems easy to come away, rightly or wrongly, thinking, that’s all we have? That’s the state of the art spatial/temporal resolution? No wonder we can’t model the brain from first principles.
The amount of innovation, effort, and complexity that was needed to get imaging where it is today seems amazing to me, just glossing over the major achievements, it’s nobel prize level stuff. Yet you guys seem to have to still work in so much darkness with so little light. It seems rather than imaging one day simply revealing fundamental secrets, it’s just providing clues that will continue to require great insights and experiments to change the world.
But again, full admission of popcorn eating ignorance in these assumptions.