Diffusion MRI head motion correction methods are highly accurate but impacted by denoising and sampling scheme

M Cieslak, PA Cook, G Shafiei, TM Tapera… - Human Brain …, 2024 - Wiley Online Library
Head motion correction is particularly challenging in diffusion‐weighted MRI (dMRI) scans
due to the dramatic changes in image contrast at different gradient strengths and directions …

[HTML][HTML] White matter and literacy: a dynamic system in flux

E Roy, A Richie-Halford, J Kruper, M Narayan… - Developmental …, 2024 - Elsevier
Cross-sectional studies have linked differences in white matter tissue properties to reading
skills. However, past studies have reported a range of, sometimes conflicting, results. Some …

Tractometry of Human Visual White Matter Pathways in Health and Disease

H Takemura, JA Kruper, T Miyata… - Magnetic Resonance in …, 2024 - jstage.jst.go.jp
Diffusion-weighted MRI (dMRI) provides a unique non-invasive view of human brain tissue
properties. The present review article focuses on tractometry analysis methods that use …

Development of the alpha rhythm is linked to visual white matter pathways and visual detection performance

S Caffarra, K Kanopka, J Kruper… - Journal of …, 2024 - Soc Neuroscience
Alpha is the strongest electrophysiological rhythm in awake humans at rest. Despite its
predominance in the EEG signal, large variations can be observed in alpha properties …

[HTML][HTML] Multi-scale V-net architecture with deep feature CRF layers for brain extraction

JS Park, S Fadnavis, E Garyfallidis - Communications Medicine, 2024 - nature.com
Background Brain extraction is a computational necessity for researchers using brain
imaging data. However, the complex structure of the interfaces between the brain, meninges …

Tractometry of the Human Connectome Project: resources and insights

J Kruper, MKP Hagen, F Rheault, I Crane… - Frontiers in …, 2024 - frontiersin.org
Introduction The Human Connectome Project (HCP) has become a keystone dataset in
human neuroscience, with a plethora of important applications in advancing brain imaging …

A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps

C Zhao, D Jarecka, S Covitz, Y Chen… - Imaging …, 2024 - direct.mit.edu
Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and
greater data complexity, this problem becomes more acute. Software that operates on …

Incremental improvements in tractometry-based brain-age modeling with deep learning

A Rokem, J Qiao, JD Yeatman, A Richie-Halford - bioRxiv, 2023 - biorxiv.org
Multivariate measurements of human brain white matter (WM) with diffusion MRI (dMRI)
provide information about the role of WM in a variety of cognitive functions and in brain …

Deep interpretability methods for neuroimaging

MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …

The future of data analysis is now: Integrating generative AI in neuroimaging methods development

E DuPre, RA Poldrack - Imaging Neuroscience, 2024 - direct.mit.edu
In this perspective, we highlight how emerging artificial intelligence tools are likely to impact
the experiences of researchers conducting computational fMRI analyses. While calls for the …