Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data

B Jeurissen, JD Tournier, T Dhollander, A Connelly… - NeuroImage, 2014 - Elsevier
Constrained spherical deconvolution (CSD) has become one of the most widely used
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …

Dipy, a library for the analysis of diffusion MRI data

E Garyfallidis, M Brett, B Amirbekian… - Frontiers in …, 2014 - frontiersin.org
Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

K Uğurbil, J Xu, EJ Auerbach, S Moeller, AT Vu… - Neuroimage, 2013 - Elsevier
Abstract The Human Connectome Project (HCP) relies primarily on three complementary
magnetic resonance (MR) methods. These are: 1) resting state functional MR imaging …

[HTML][HTML] Multi-compartment microscopic diffusion imaging

E Kaden, ND Kelm, RP Carson, MD Does… - NeuroImage, 2016 - Elsevier
This paper introduces a multi-compartment model for microscopic diffusion anisotropy
imaging. The aim is to estimate microscopic features specific to the intra-and extra-neurite …

The architecture of functional lateralisation and its relationship to callosal connectivity in the human brain

VR Karolis, M Corbetta… - Nature communications, 2019 - nature.com
Functional lateralisation is a fundamental principle of the human brain. However, a
comprehensive taxonomy of functional lateralisation and its organisation in the brain is …

Brain disconnections link structural connectivity with function and behaviour

M Thiebaut de Schotten, C Foulon, P Nachev - Nature communications, 2020 - nature.com
Brain lesions do not just disable but also disconnect brain areas, which once deprived of
their input or output, can no longer subserve behaviour and cognition. The role of white …

Histological validation of diffusion MRI fiber orientation distributions and dispersion

KG Schilling, V Janve, Y Gao, I Stepniewska… - Neuroimage, 2018 - Elsevier
Diffusion magnetic resonance imaging (dMRI) is widely used to probe tissue microstructure,
and is currently the only non-invasive way to measure the brain's fiber architecture. While a …

Quantitative map** of the per‐axon diffusion coefficients in brain white matter

E Kaden, F Kruggel… - Magnetic resonance in …, 2016 - Wiley Online Library
Purpose This article presents a simple method for estimating the effective diffusion
coefficients parallel and perpendicular to the axons unconfounded by the intravoxel fiber …

[HTML][HTML] TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity

G Theaud, JC Houde, A Boré, F Rheault, F Morency… - Neuroimage, 2020 - Elsevier
Diffusion MRI tractography processing pipeline requires a large number of steps (typically
20+ steps). If parameters of these steps, number of threads, and random seed generators …

[HTML][HTML] NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing

S Moeller, PK Pisharady, S Ramanna, C Lenglet, X Wu… - Neuroimage, 2021 - Elsevier
Diffusion-weighted magnetic resonance imaging (dMRI) has found great utility for a wide
range of neuroscientific and clinical applications. However, high-resolution dMRI, which is …