Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI
Abstract
This article addresses whether or not diffusion MRI, a noninvasive technique that probes the microstructural aspects of tissue, can be used to quantify the white matter connectivity of the human brain in vivo. It begins by studying the motivation, that is, the increasing trend to look at ‘functional connectivity’ in the brain, which implies that the brain operates as a distributed network of active locations. A brief summary of diffusion MRI and fiber tracking is given and the early applications of diffusion MRI to study connectivity are reviewed. A close and critical inspection is then made of the limitations inherent in these different approaches, challenging the notion that it is possible to quantify brain connectivity in vivo with diffusion MRI. Finally, steps toward improving quantification of connectivity, by integrating information from other techniques, are suggested.
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These problems have been discussed in schematic representations or theoretical arguments but have not yet been quantified in brain imaging.
“Since the invention of diffusion tractography, these problems have been discussed in schematic representations or theoretical arguments7, 8, 37, but have not yet been quantified in brain imaging.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [8]
Some underlying ambiguities in tractography have been discussed using schematic representations and theoretical arguments.
“some of the underlying ambiguities in tractography have been discussed using schematic representations and theoretical arguments1, 7, 8, 37.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [8]
Raw streamline count is not a quantitative measure of connection density.
“This limitation is often expressed as the mantra “streamline count is not quantitative.””
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Jones, 2010
The first category of quantitative measures is based on tractography data alone and is often used to define connectivity strength.
“The first category of quantitative measures are based on the tractography data alone, which are often used to define the connectivity strength (Jones, 2010; Smith et al., 2020a; Sotiropoulos and Zalesky, 2019; Yeh et al., 2020).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Jones, 2010
NOS does not provide a truly quantitative measure of connection strength because of the difference in resolution between the measured dMRI signal and actual axon dimensions.
“However, because of the difference in resolution between the measured dMRI signal and actual axon dimensions (as described in Section 3.3: “Connection density biases”), many studies have emphasized that NOS does not provide a truly quantitative measure of connection strength (Jones, 2010; Jones et al., 2013; Sotiropoulos and Zalesky, 2019; Yeh et al., 2020).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Jones, 2010
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- Authors
- Jones, D. K.
- Corresponding author
- Jones, Derek K
- ORCID
- Jones, Derek K
- Venue
- Imaging in Medicine
- Publisher
- OMICS Publishing Group
- Published
- 2010-06
- Volume
- 2
- Issue
- 3
- Pages
- 341-355
- ISSN
- 1755-5191 (ISSN-L)
- 1755-5205
- OpenAlex
- W2152552783
- Cited by
- 321
- References
- 49
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 17 · 2023: 23 · 2022: 16 · 2021: 38 · 2020: 27 · 2019: 16 · 2018: 15 · 2017: 18 · 2016: 22 · 2015: 26 · 2014: 15 · 2013: 27 · 2012: 23
- FWCI
- 17.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Imaging in Medicine (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffusion MRI, brain connectivity, white matter connectivity, functional connectivity, tractography, human brain networks, multimodal integration
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