[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 …

Building connectomes using diffusion MRI: why, how and but

SN Sotiropoulos, A Zalesky - NMR in Biomedicine, 2019 - Wiley Online Library
Why has diffusion MRI become a principal modality for mapping connectomes in vivo? How
do different image acquisition parameters, fiber tracking algorithms and other …

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 …

Structural core of the executive control network: A high angular resolution diffusion MRI study

K Shen, T Welton, M Lyon… - Human brain …, 2020 - Wiley Online Library
Executive function (EF) is a set of cognitive capabilities considered essential for successful
daily living, and is negatively affected by ageing and neurodegenerative conditions …

Diffusion mri with machine learning

D Karimi, SK Warfield - Imaging Neuroscience, 2024 - direct.mit.edu
Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …

[HTML][HTML] The white matter connectome as an individualized biomarker of language impairment in temporal lobe epilepsy

E Kaestner, AR Balachandra, N Bahrami, A Reyes… - NeuroImage: Clinical, 2020 - Elsevier
Objective The distributed white matter network underlying language leads to difficulties in
extracting clinically meaningful summaries of neural alterations leading to language …

MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI

LY Cai, Q Yang, P Kanakaraj, V Nath… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose Diffusion‐weighted imaging allows investigators to identify structural,
microstructural, and connectivity‐based differences between subjects, but variability due to …

[HTML][HTML] MICRA: Microstructural image compilation with repeated acquisitions

K Koller, U Rudrapatna, M Chamberland, EP Raven… - Neuroimage, 2021 - Elsevier
We provide a rich multi-contrast microstructural MRI dataset acquired on an ultra-strong
gradient 3T Connectom MRI scanner comprising 5 repeated sets of MRI microstructural …

Structural brain network reproducibility: Influence of different diffusion acquisition and tractography reconstruction schemes on graph metrics

P Borrelli, C Cavaliere, M Salvatore, J Jovicich… - Brain …, 2022 - liebertpub.com
Background: Graph metrics of structural brain networks demonstrate to be a powerful tool for
investigating brain topology at a large scale. However, the variability of the results related to …

Using The Virtual Brain to study the relationship between structural and functional connectivity in patients with multiple sclerosis: a multicenter study

G Martí-Juan, J Sastre-Garriga… - Cerebral …, 2023 - academic.oup.com
The relationship between structural connectivity (SC) and functional connectivity (FC)
captured from magnetic resonance imaging, as well as its interaction with disability and …