Neurotransmitter based imaging techniques All the brain imaging techniques I know fall into two categories:


Tracking blood


Either by looking at the magnetic (fMRI), or near-infared absorption (diffuse optical imaging, NIRS) properties of hemoglobin, or
Injecting tracers into the blood stream (PET, SPECT)

Tracking electric and magnetic fields in neurons (EEG, MEG).


The problem with the first approach is that it is fundamentally secondary in nature: it tracks the response of the vascular system to brain activity. Although the BOLD signal correlates well with neural activity, it is still an indirect indicator of firing rate, has time lags, and limited spatial (limited by distribution of capillaries) and temporal (limited by flow rate) resolution.

The second  approach is better, but still not perfect from a pharmacology perspective. Although it gives us good information about the post-synaptic potential (EEG) or intraneuron potential (MEG), it still provides no information on specific neurotransmitters released. The approach also suffers from limitations on spatial resolution and the fact that EM-fields follow the superposition principle and thus it is mathematically impossible to reconstruct signals that interfere destructively outside the neuron but before the sensors.

The perfect approach for a pharmacologist would be to track individual types on neurotransmitters. Are there imagining techniques that use the resonance, absorption, or other properties of neurotransmitters (instead of hemoglobin)? Or is there a fundamental reason why this won't work?

I know that the same exact techniques as for hemoglobin won't work (since as far as I know most neurotransmitters don't contain nice things like iron to play with), but is there a reason other resonance or scattering techniques wouldn't work?



The closest work I know in this direction is the event-related optical signal (Gratton &amp; Fabiani, 2001) because it tracks the light-scattering properties of something other than hemoglobin: neural tissue. Unfortunately, this is still tracking activity of the neuron and not neurotransmitters.
I found an example of a system that researchers are aiming to use in the future for determining the level of neurotransmitter activity in the brain using MRI.  You were on the right track with the utility of hemoglobin.  The molecule used is somewhat similar.  To understand how the probes were generated requires a bit of a biological detour. 

There are enzymes in the body known as P450 cytochromes, so named because they were observed as absorbing light in the 450 nm range.  They are membrane bound (e.g., in the mitochondria) and one of their primary purposes is to carry out monooxygenase reactions, and liver-based P450s are responsible much of the drug metabolism that goes on in the body.  So, different classes of these enzymes have a high affinity for certain molecules.  The most important characteristic that the P450s possess is a heme group, which is paramagnetic, and will produce a signal in an MRI.

These P450 enzymes are also found in bacteria, which can be readily used as a test bed due to their rapid cell division.  What these scientists have done is repeatedly mutated bacteria and tested the affinity of the P450s of the resulting mutants for various molecules (in this case serotonin and dopamine).  

So, in retaining a culture of the bacteria, scientists can mass produce the mutated heme groups from the bacterial P450s.  Presumably once the sequence of the subunit is determined, it could be created using standard techniques.

Some challenges remain.  Primarily, the probes will have to be checked for safety, and measures will have to be taken to make them into robust MRI contrast agents, and ensure that they can localize and persist in the brain for the duration of testing.  Presumably, the proper correlations between strength of signal and local transmitter concentration can be established with in vitro studies.  It sounds like we're fairly close to non-invasive methods of measuring neurotransmitter levels.



Reproduced from here


  Brustad, E.M., Lelyveld, V.S., et al (2012). Structure-guided directed evolution of highly selective P450-based magnetic resonance imaging sensors for dopamine and serotonin.  Journal of Molecular Biology, in press, doi.