The Inherent Limits of MRI Tractography?

By Neuroskeptic | November 6, 2014 4:39 pm

A popular neuroscience tool, diffusion MRI tractography, may fundamentally have limited accuracy. That’s according to a paper just published in PNAS: Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

The authors, Cibu Thomas and colleagues of Bethesda, Maryland, begin by explaining why diffusion MRI is so widely used

The creation of a comprehensive map of the connectional neuroanatomy of the human brain would be a fundamental achievement in neuroscience. However, creating this map remains a challenge… The introduction of diffusion-weighted MRI (DWI) and the diffusion tensor MRI (DTI) opened the possibility of exploring the structural properties of white matter in the living human brain.

Essentially, DWI promises to allow neuroscientists to map the connections between brain regions. These connections take the form of white matter pathways (or ‘tracts’), which criss-cross the brain carrying neural signals. DWI seeks to image the white matter pathways by detecting the diffusion of water molecules along the tracts.

To date, the performance of DWI has been mixed due to various technical limitations, but many neuroscientists hope that these will be overcome soon. Thomas et al. say, however, that even exceptionally high-quality diffusion MRI data just doesn’t provide a very accurate white matter map.

Their approach was simple: they took the dead brain of a rhesus monkey and performed diffusion MRI to map its white matter. The data quality was extremely high, because dead brains are immune to most of the sources of noise that affect living brains – head movement, blood flow, etc.

As a known ‘ground truth’ or yardstick against which to compare the accuracy of DWI, Thomas et al. used anatomical tracer studies. Tracing is the old school way to map white matter – it’s precise but time-consuming. It also can’t be used on humans.

Thomas et al. report that

Overall, even in ideal experimental conditions, the anatomical accuracy of DWI tractography is suboptimal… a diffusion tractography technique that produces anatomically accurate results remains an elusive goal even with DWI data of exceptional quality.

The DWI data used here are of such high quality that, by our estimation, acquiring data of the same resolution from a living human brain in a standard MRI scanner would take thousands of hours of scan time.

The authors examined four different data analysis techniques – DTI, constrained spherical deconvolution (CSD), and the interestingly-named Q-ball and ball and stick (B&S) methods – but none were especially good.


Provocatively, Thomas et al. conclude by suggesting that MRI tractography is a fundamentally limited method, because water diffusion just doesn’t contain enough information to unambiguously estimate brain anatomy:

We believe our results highlight an inherent limitation of DWI tractography: inferring fiber direction information from a water diffusion displacement profile is fundamentally a complex, underdetermined inverse problem that cannot be solved.

The many hundreds of neuroscientists using DWI won’t be pleased to hear this. I wonder if a rebuttal is in the works anywhere. I suppose one line of response might be to point out that Thomas et al.’s argument rests on the accuracy of the tracer technique in the rhesus monkey brain – can we be sure that it’s always right?

ResearchBlogging.orgThomas C, Ye FQ, Irfanoglu MO, Modi P, Saleem KS, Leopold DA, & Pierpaoli C (2014). Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited. Proceedings of the National Academy of Sciences PMID: 25368179



No brain. No gain.

About Neuroskeptic

Neuroskeptic is a British neuroscientist who takes a skeptical look at his own field, and beyond. His blog offers a look at the latest developments in neuroscience, psychiatry and psychology through a critical lens.


See More

@Neuro_Skeptic on Twitter


Discover's Newsletter

Sign up to get the latest science news delivered weekly right to your inbox!

Collapse bottom bar