Connectomes from streamlines tractography: Assigning streamlines to brain parcellations is not trivial but highly consequential

CH Yeh, RE Smith, T Dhollander, F Calamante… - Neuroimage, 2019 - Elsevier
When using diffusion MRI streamlines tractograms to construct structural connectomes,
ideally, each streamline should connect exactly 2 regions-of-interest (ie network nodes) as …

Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics

CH Yeh, RE Smith, X Liang, F Calamante, A Connelly - Neuroimage, 2016 - Elsevier
Diffusion MRI streamlines tractography has become a major technique for inferring structural
networks through reconstruction of brain connectome. However, quantification of structural …

AnatomiCuts: hierarchical clustering of tractography streamlines based on anatomical similarity

V Siless, K Chang, B Fischl, A Yendiki - NeuroImage, 2018 - Elsevier
Diffusion MRI tractography produces massive sets of streamlines that contain a wealth of
information on brain connections. The size of these datasets creates a need for automated …

Towards quantitative connectivity analysis: reducing tractography biases

G Girard, K Whittingstall, R Deriche, M Descoteaux - Neuroimage, 2014 - Elsevier
Diffusion MRI tractography is often used to estimate structural connections between brain
areas and there is a fast-growing interest in quantifying these connections based on their …

[HTML][HTML] Registration-free analysis of diffusion MRI tractography data across subjects through the human lifespan

V Siless, JY Davidow, J Nielsen, Q Fan, T Hedden… - NeuroImage, 2020 - Elsevier
Diffusion MRI tractography produces massive sets of streamlines that need to be clustered
into anatomically meaningful white-matter bundles. Conventional clustering techniques …

The effects of SIFT on the reproducibility and biological accuracy of the structural connectome

RE Smith, JD Tournier, F Calamante, A Connelly - Neuroimage, 2015 - Elsevier
Diffusion MRI streamlines tractography is increasingly being used to characterise and
assess the structural connectome of the human brain. However, issues pertaining to …

Brain connections derived from diffusion MRI tractography can be highly anatomically accurate—if we know where white matter pathways start, where they end, and …

KG Schilling, L Petit, F Rheault, S Remedios… - Brain Structure and …, 2020 - Springer
MR Tractography, which is based on MRI measures of water diffusivity, is currently the only
method available for noninvasive reconstruction of fiber pathways in the brain. However, it …

Characterizing streamline count invariant graph measures of structural connectomes

NR Newlin, F Rheault, KG Schilling… - Journal of Magnetic …, 2023 - Wiley Online Library
Background While graph measures are used increasingly to characterize human
connectomes, uncertainty remains in how to use these metrics in a quantitative and …

Human cortical connectome reconstruction from diffusion weighted MRI: the effect of tractography algorithm

M Bastiani, NJ Shah, R Goebel, A Roebroeck - Neuroimage, 2012 - Elsevier
Reconstructing the macroscopic human cortical connectome by Diffusion Weighted Imaging
(DWI) is a challenging research topic that has recently gained a lot of attention. In the …

Mapping population-based structural connectomes

Z Zhang, M Descoteaux, J Zhang, G Girard… - NeuroImage, 2018 - Elsevier
Advances in understanding the structural connectomes of human brain require improved
approaches for the construction, comparison and integration of high-dimensional whole …