[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 …

Statistical power in network neuroscience

K Helwegen, I Libedinsky… - Trends in Cognitive …, 2023 - cell.com
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Development of structure–function coupling in human brain networks during youth

GL Baum, Z Cui, DR Roalf, R Ciric… - Proceedings of the …, 2020 - National Acad Sciences
The protracted development of structural and functional brain connectivity within distributed
association networks coincides with improvements in higher-order cognitive processes such …

Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia

U Braun, A Harneit, G Pergola, T Menara… - Nature …, 2021 - nature.com
Dynamical brain state transitions are critical for flexible working memory but the network
mechanisms are incompletely understood. Here, we show that working memory …

[HTML][HTML] Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

M Bastiani, M Cottaar, SP Fitzgibbon, S Suri… - Neuroimage, 2019 - Elsevier
Diffusion MRI data can be affected by hardware and subject-related artefacts that can
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …

Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists

HT Wang, J Smallwood, J Mourao-Miranda, CH Xia… - NeuroImage, 2020 - Elsevier
The 21st century marks the emergence of “big data” with a rapid increase in the availability
of datasets with multiple measurements. In neuroscience, brain-imaging datasets are more …

[HTML][HTML] The development of brain network hubs

S Oldham, A Fornito - Developmental cognitive neuroscience, 2019 - Elsevier
Some brain regions have a central role in supporting integrated brain function, marking them
as network hubs. Given the functional importance of hubs, it is natural to ask how they …

A network control theory pipeline for studying the dynamics of the structural connectome

L Parkes, JZ Kim, J Stiso, JK Brynildsen, M Cieslak… - Nature protocols, 2024 - nature.com
Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …

Graded variation in T1w/T2w ratio during adolescence: measurement, caveats, and implications for development of cortical myelin

GL Baum, JC Flournoy, MF Glasser… - Journal of …, 2022 - Soc Neuroscience
Adolescence is characterized by the maturation of cortical microstructure and connectivity
supporting complex cognition and behavior. Axonal myelination influences brain …

PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

LY Cai, Q Yang, CB Hansen, V Nath… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose Diffusion weighted MRI imaging (DWI) is often subject to low signal‐to‐noise ratios
(SNRs) and artifacts. Recent work has produced software tools that can correct individual …