Diffusion MRI head motion correction methods are highly accurate but impacted by denoising and sampling scheme
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 …
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
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 …
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 …
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 …
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
Background Brain extraction is a computational necessity for researchers using brain
imaging data. However, the complex structure of the interfaces between the brain, meninges …
imaging data. However, the complex structure of the interfaces between the brain, meninges …
Tractometry of the Human Connectome Project: resources and insights
Introduction The Human Connectome Project (HCP) has become a keystone dataset in
human neuroscience, with a plethora of important applications in advancing brain imaging …
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
Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and
greater data complexity, this problem becomes more acute. Software that operates on …
greater data complexity, this problem becomes more acute. Software that operates on …
Incremental improvements in tractometry-based brain-age modeling with deep learning
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 …
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 …
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 …
the experiences of researchers conducting computational fMRI analyses. While calls for the …