MRI Technology Reveals Deep Brain Pathways in Unprecedented Detail
A Duke MD-PhD student improves brain imaging resolution 1000 times over, which could lead to better treatment of tremors and other neurological disorders
Scientists at Duke Medicine—including a recent Duke biomedical engineering PhD graduate—have produced a 3-D map of the human brain stem at an unprecedented level of detail using MRI technology.
In a study to be published June 3 in Human Brain Mapping, the researchers unveil an ultra high-resolution brain stem model that could better guide brain surgeons treating conditions such as tremors and Parkinson’s disease with deep brain stimulation (DBS).
The new 3-D model could reduce risky trial-and-error as surgeons implant electrodes — a change akin to trading an outdated paper road atlas for a real-time GPS.
“On the conventional MRI that we take before surgery, the thalamus looks like a gray mass where you can see only the borders,” said neurosurgeon Nandan Lad, M.D., Ph.D., director of the Duke NeuroOutcomes Center and an author of the paper. “Now we will have actual detail. With this map, for the first time we’re able to see the thalamus and that underlying circuitry that we are modulating.”
Many neurosurgeons currently rely on lower resolution CT and MRI scans and geographic coordinates relative to the planes of the brain to guide them when placing electrodes into the thalamus. They are targeting a circuit called the dentatorubrothalamic tract or DRT (depicted as an X-shaped pathway in the accompanying image), Lad said.
Surgeons must often remove and reinsert electrodes and test frequencies to find the spots inside the thalamus where, for instance, the electric current subdues the hands of a patient with debilitating tremors. This indirect targeting is the standard of care for DBS, but comes with risk. Moving an electrode requires another pass through delicate tissue, and complications from DBS can include hemorrhage, seizure, or memory problems.
The map was produced by technology developed at the Duke Center for In VIvo Microscopy by Evan Calabrese, who is enrolled in the School of Medicine’s Medical Scientist (MD-PhD) Training program. As part of his PhD research in biomedical engineering, Calabrese worked to extend diffusion tensor imaging (DTI) to microscopic resolutions, creating images 1000 times more detailed than routine clinical scans.
DTI works by using many 3D images to calculate tensors—simplified mathematical representations of data—describing the direction and amount of water diffusion at that point, indicating where neural fibers and connections are located. Calabrese’s research developed imaging hardware and software that could develop a neural map with an unprecedented (200 micron) resolution.
The map was produced from a 10-day scan of a healthy donor’s postmortem brain stem in a 7-Tesla MRI system, and then converted into a 3-D model that can be proportionally scaled to fit a person’s unique brain anatomy using a high-performance computing cluster.
“These images are 1,000 times more detailed than a clinical MRI,” said G. Allan Johnson, senior author of the paper and director of the Duke Center for In Vivo Microscopy, where the brain stem was scanned. “You can actually see the nerve fibers in the brain, how they’re crossing, and the subtleties of contrast between gray and white matter in the brain far beyond what a clinical scan could offer.”
To test the accuracy of the model, the researchers conducted a retrospective study of 12 patients who had already been treated successfully for tremors using DBS. The researchers used the 3-D model to predict the best placement for the electrodes in each patient. The predictive computer model and the actual successful electrode placements correlated for 22 of 24 electrodes in the dozen patients, the study showed.
The researchers will soon begin a prospective study using the 3-D model to guide DBS surgery.
“As time goes on, imaging will only continue to get better,” Lad said. “We are well-equipped and at the cutting edge of understanding how to apply this technology, and will be in an even better position to treat more patients with fewer side effects."
The Duke team will also pursue high resolution imaging of other circuits in the brain, brain stem and spinal cord to develop new treatments for other conditions.
“We now have a guide to be able to visualize these complex neuronal connections that would otherwise be impossible to see,” said Calabrese, who was the lead author of the paper. “This will help us continue to explore applications for treatments of Alzheimer’s disease, neuropathic pain, depression and even obsessive compulsive disorders.”
In addition to Johnson, Calabrese, and Lad, study authors include Patrick Hickey, Christine Hulette, Jingxian Zhang, and Beth Parente.
The researchers received funding from the National Institutes of Health and the National Institute of Biomedical Imaging and Bioengineering (P41 EB015897).
“Postmortem diffusion MRI of the human brainstem and thalamus for deep brain stimulator electrode localization.” Evan Calabrese, Patrick Hickey, Christine Hulette, Jingxian Zhang, Beth Parente, Shivanand P. Lad, G. Allan Johnson. Human Brain Mapping, 2015 Jun 3. doi: 10.1002/hbm.22836.