[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review

F Zhang, A Daducci, Y He, S Schiavi, C Seguin… - Neuroimage, 2022 - Elsevier
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Recognition of white matter bundles using local and global streamline-based registration and clustering

E Garyfallidis, MA Côté, F Rheault, J Sidhu, J Hau… - NeuroImage, 2018 - Elsevier
Virtual dissection of diffusion MRI tractograms is cumbersome and needs extensive
knowledge of white matter anatomy. This virtual dissection often requires several inclusion …

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

P Avesani, B McPherson, S Hayashi, CF Caiafa… - Scientific data, 2019 - nature.com
Abstract We describe the Open Diffusion Data Derivatives (O3D) repository: an integrated
collection of preserved brain data derivatives and processing pipelines, published together …

Integrating TMS, EEG, and MRI as an approach for studying brain connectivity

R Esposito, M Bortoletto, C Miniussi - The Neuroscientist, 2020 - journals.sagepub.com
The human brain is a complex network in which hundreds of brain regions are
interconnected via thousands of axonal pathways. The capability of such a complex system …

Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive …

Y Wu, F Zhang, N Makris, Y Ning, I Norton, S She… - NeuroImage, 2018 - Elsevier
This work presents an automatically annotated fiber cluster (AAFC) method to enable
identification of anatomically meaningful white matter structures from the whole brain …

Deep diffusion MRI registration (DDMReg): a deep learning method for diffusion MRI registration

F Zhang, WM Wells, LJ O'Donnell - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we present a deep learning method, DDMReg, for accurate registration
between diffusion MRI (dMRI) datasets. In dMRI registration, the goal is to spatially align …

Framework for shape analysis of white matter fiber bundles

T Glozman, L Bruckert, F Pestilli, DW Yecies, LJ Guibas… - NeuroImage, 2018 - Elsevier
Diffusion imaging coupled with tractography algorithms allows researchers to image human
white matter fiber bundles in-vivo. These bundles are three-dimensional structures with …

White matter tract segmentation as multiple linear assignment problems

N Sharmin, E Olivetti, P Avesani - Frontiers in Neuroscience, 2018 - frontiersin.org
Diffusion magnetic resonance imaging (dMRI) allows to reconstruct the main pathways of
axons within the white matter of the brain as a set of polylines, called streamlines. The set of …

Comparison of distances for supervised segmentation of white matter tractography

E Olivetti, G Berto, P Gori, N Sharmin… - … Workshop on Pattern …, 2017 - ieeexplore.ieee.org
Tractograms are mathematical representations of the main paths of axons within the white
matter of the brain, from diffusion MRI data. Such representations are in the form of polylines …

[HTML][HTML] A registration method for improving quantitative assessment in probabilistic diffusion tractography

JL Waugh, JK Kuster, ML Makhlouf, JM Levenstein… - NeuroImage, 2019 - Elsevier
Diffusion MRI-based probabilistic tractography is a powerful tool for non-invasively
investigating normal brain architecture and alterations in structural connectivity associated …