Education, tips and tricks to help you conduct better fMRI experiments.
Sure, you can try to fix it during data processing, but you're usually better off fixing the acquisition!

Sunday, November 21, 2010

A call to publish negative results?

The Journal of Cerebral Blood Flow and Metabolism has taken the brave and, I would argue, constructive step of actively soliciting manuscripts that present negative results. In their words:
"In addition to original research articles, authors are welcomed to submit Negative Results. The Negative Results article intends to provide a forum for data that did not substantiate the alternative hypothesis and/or did not reproduce published findings."
Good for them! With one of the biggest physiology journals getting its act together, what field might be next? How about neuroimaging?

If any field could use a forum for negative results it is neuroimaging, and fMRI in particular. We seem to have a bias towards positive results that is second only to pharmaceuticals research. Of course, it is perfectly natural for scientists to want to find something rather than not find it. Not finding an earth-like planet orbiting another solar system isn't nearly as exciting as finding one. And one wonders whether Ponce de Leon would have got tenure at a modern university if his most cited work was entitled "On not finding the Fountain of Youth."

One of the challenges facing fMRI is that it demands extensive statistics or modeling to coax meaning out of tiny signals in an ocean of noise. The convoluted analyses provide skeptics with plenty of ammunition that we are basically making it all up by establishing the test that yields the answer we were looking for. (I have a former colleague - a 'real' MR scientist - who claims dismissively that fMRI stands for fictional MRI.) Without rigorous stats/models, though, it is easy to fall into the trap of false positive errors, a problem that has led to accusations of all sorts of voodoo of its own. How, then, should we treat negative fMRI results? Are there any caveats to encouraging their publication?

A negative result or a bad experiment: what's the difference?

Friday, November 12, 2010

Towards an optimal protocol for resting state fMRI – part II

A couple of weeks ago I used the results in a paper by van Dijk et al. to provide guidance towards a possible optimal/general protocol for resting state fMRI using EPI. That review concluded with the following rough criteria: whole brain coverage, spatial resolution around 3 mm and temporal resolution in the 2-3 seconds range. The largest of the open questions pertained to the interplay between these three specifications, in particular the ability to obtain whole brain (cortex and cerebellum) coverage in the time available, whilst minimizing (we hope) the dropout and distortion that are ever-present features of EPI.

Experimental details:

In what must be considered a disposable experiment on a single subject (medical types might call this a case study), I acquired test data sets with the following parameters:

Siemens 3 T Trio/TIM running VB15, 12-channel HEAD MATRIX coil, ep2d_bold pulse sequence, TR=2500 ms, TE=25 ms, slice thickness=3 mm, gap=0.3 mm, 43 interleaved slices, matrix=64x64, FOV=224x224 mm (except for one test with 192x192 mm), bandwidth=2056 Hz/pixel, echo spacing=0.55 ms, number of volumes=144, fatsat=ON, MoCo=ON, no spatial filters. (See note 1.)

Saturday, November 6, 2010

FOD for thought.

As my scanner is down at the moment, with service engineers tearing things apart to identify some sources of spikes, there’s a bit of a delay in getting the resting state data I promised a couple of weeks ago. Please standby, normal service will be resumed shortly. For the time being I thought I’d continue the topic of ‘foreign objects and debris.’ Changing tacks a little bit, away from the insidious, small stuff, I thought it might be edifying to take a look at the big stuff – the stuff with major safety implications.

If you’re a regular fMRIer then you will already have been treated to safety videos demonstrating the sorts of bad things that can happen to a watermelon or a brick wall when magnetic objects are allowed to impact an MRI magnet. If you’re an fMRI newbie, welcome. May I suggest you spend a few minutes checking out YouTube videos for your enlightenment? Here are links to some goodies:

Oxygen cylinder 1 – 0 Watermelon

The rear wall of an MRI suite gets a good bashing from an oxygen cylinder

One wonders whether someone had been sitting on this chair when it started to move…

More watermelon abuse

And here is a video of some tests we did with an old 4 T magnet that was about to be decommissioned. We did a chair, too, but ours was deliberate:



Fun, eh? Sure, this stuff is exhilarating when it’s intentional and controlled. But I bet you don’t fancy being the person responsible for stabbing your subject repeatedly with the pair of scissors that you accidentally carried into the magnet room.

Tuesday, November 2, 2010

FOD happens!

Pieces of metal, especially magnetic ones, will find their way into all sorts of strange and potentially detrimental locations inside an MRI. During your safety training you will have learned a lot about the hazards of chairs, keys, rotary mops, oxygen cylinders and other objects that have, at one time or another, found their way into or onto an MRI – often with disastrous consequences.

Yet there is another category of foreign objects or debris - known as FOD to aviation types - that doesn’t get as much attention during safety training, largely because there are fewer safety issues. There are, however, serious implications for the quality of your data.

Finding FOD

Take yesterday, for example. There we were, a service engineer and I, rooting around in the back of the magnet checking for carbonization, testing locking nut security and the like, in a quest to identify sources of spikes that had shown up in the morning’s QA data. (I’ll do a separate post on spikes another day.) We (meaning the engineer) had already found, cleaned and replaced “standoff” spacers for the gradient power cables. These spacers – especially the one for the X coil, which gets the most use as the read axis gradient for EPI – are prone to micro-arcing, a phenomenon that can be discerned by the telltale black carbon deposits on one or both ends of the metal tube.