[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 …

Common misconceptions, hidden biases and modern challenges of dMRI tractography

F Rheault, P Poulin, AV Caron, E St-Onge… - Journal of neural …, 2020 - iopscience.iop.org
The human brain is a complex and organized network, where the connection between
regions is not achieved with single axons crisscrossing each other but rather millions of …

Statistical learning methods for neuroimaging data analysis with applications

H Zhu, T Li, B Zhao - Annual Review of Biomedical Data …, 2023 - annualreviews.org
The aim of this review is to provide a comprehensive survey of statistical challenges in
neuroimaging data analysis, from neuroimaging techniques to large-scale neuroimaging …

Tensor network factorizations: Relationships between brain structural connectomes and traits

Z Zhang, GI Allen, H Zhu, D Dunson - Neuroimage, 2019 - Elsevier
Advanced brain imaging techniques make it possible to measure individuals' structural
connectomes in large cohort studies non-invasively. Given the availability of large scale data …

The topology of higher-order complexes associated with brain hubs in human connectomes

M Andjelković, B Tadić, R Melnik - Scientific reports, 2020 - nature.com
Higher-order connectivity in complex systems described by simplexes of different orders
provides a geometry for simplex-based dynamical variables and interactions. Simplicial …

Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering

F Zhang, Y Wu, I Norton, Y Rathi, AJ Golby… - Human brain …, 2019 - Wiley Online Library
There are two popular approaches for automated white matter parcellation using diffusion
MRI tractography, including fiber clustering strategies that group white matter fibers …

[HTML][HTML] Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains

N Wang, RJ Anderson, DG Ashbrook… - Neuroimage, 2020 - Elsevier
Genome-wide association studies have demonstrated significant links between human brain
structure and common DNA variants. Similar studies with rodents have been challenging …

[HTML][HTML] FFClust: fast fiber clustering for large tractography datasets for a detailed study of brain connectivity

A Vázquez, N López-López, A Sánchez, J Houenou… - NeuroImage, 2020 - Elsevier
Automated methods that can identify white matter bundles from large tractography datasets
have several applications in neuroscience research. In these applications, clustering …

Learning from binary multiway data: Probabilistic tensor decomposition and its statistical optimality

M Wang, L Li - Journal of Machine Learning Research, 2020 - jmlr.org
We consider the problem of decomposing a higher-order tensor with binary entries. Such
data problems arise frequently in applications such as neuroimaging, recommendation …

A multi-scale probabilistic atlas of the human connectome

Y Alemán-Gómez, A Griffa, JC Houde, E Najdenovska… - Scientific Data, 2022 - nature.com
The human brain is a complex system that can be efficiently represented as a network of
structural connectivity. Many imaging studies would benefit from such network information …