White matter alterations in Attention-Deficit/Hyperactivity Disorder (ADHD): a systematic review of 129 diffusion imaging studies with meta-analysis

V Parlatini, T Itahashi, Y Lee, S Liu, TT Nguyen… - Molecular …, 2023 - nature.com
Aberrant anatomical brain connections in attention-deficit/hyperactivity disorder (ADHD) are
reported inconsistently across diffusion weighted imaging (DWI) studies. Based on a pre …

Map** the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact

Q Fan, C Eichner, M Afzali, L Mueller, CMW Tax… - Neuroimage, 2022 - Elsevier
Tremendous efforts have been made in the last decade to advance cutting-edge MRI
technology in pursuit of map** structural connectivity in the living human brain with …

A multimodal submillimeter MRI atlas of the human cerebellum

W Lyu, Y Wu, KM Huynh, S Ahmad, PT Yap - Scientific reports, 2024 - nature.com
The human cerebellum is engaged in a broad array of tasks related to motor coordination,
cognition, language, attention, memory, and emotional regulation. A detailed cerebellar …

Anti‐seizure medication response and the glymphatic system in patients with focal epilepsy

ST Kim, SE Kim, DA Lee, HJ Lee… - European Journal of …, 2024 - Wiley Online Library
Background and purpose We aimed to evaluate (i) glymphatic system function in patients
with focal epilepsy in comparison with healthy controls, and (ii) the association between anti …

Singular vectors of sums of rectangular random matrices and optimal estimation of high-rank signals: The extensive spike model

ID Landau, GC Mel, S Ganguli - Physical Review E, 2023 - APS
Across many disciplines spanning from neuroscience and genomics to machine learning,
atmospheric science, and finance, the problems of denoising large data matrices to recover …

[HTML][HTML] Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning

Á Planchuelo-Gómez, M Descoteaux, H Larochelle… - Medical Image …, 2024 - Elsevier
Diffusion-relaxation MRI aims to extract quantitative measures that characterise
microstructural tissue properties such as orientation, size, and shape, but long acquisition …

Advanced Diffusion‐Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology

E Fokkinga, JA Hernandez‐Tamames… - Journal of Magnetic …, 2024 - Wiley Online Library
Diffusion‐weighted magnetic resonance imaging (DW‐MRI) aims to disentangle multiple
biological signal sources in each imaging voxel, enabling the computation of innovative …

Denoising diffusion MRI: Considerations and implications for analysis

JP Manzano Patron, S Moeller, JLR Andersson… - Imaging …, 2024 - direct.mit.edu
Abstract Development of diffusion MRI (dMRI) denoising approaches has experienced
considerable growth over the last years. As noise can inherently reduce accuracy and …

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] Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions

AJE Combes, MA Clarke, KP O'Grady, KG Schilling… - NeuroImage: Clinical, 2022 - Elsevier
Spinal cord magnetic resonance imaging (MRI) has a central role in multiple sclerosis (MS)
clinical practice for diagnosis and disease monitoring. Advanced MRI sequences capable of …