[HTML][HTML] Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso-and macro …

SY Huang, T Witzel, B Keil, A Scholz, M Davids, P Dietz… - NeuroImage, 2021 - Elsevier
The first phase of the Human Connectome Project pioneered advances in MRI technology
for mapping the macroscopic structural connections of the living human brain through the …

[HTML][HTML] Challenges for biophysical modeling of microstructure

IO Jelescu, M Palombo, F Bagnato… - Journal of Neuroscience …, 2020 - Elsevier
The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25
years. In this review, we dwell on the various challenges along the journey of bringing a …

[HTML][HTML] Neurite Exchange Imaging (NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

IO Jelescu, A de Skowronski, F Geffroy, M Palombo… - NeuroImage, 2022 - Elsevier
Biophysical models of diffusion in white matter have been center-stage over the past two
decades and are essentially based on what is now commonly referred to as the “Standard …

Mapping microglia and astrocyte activation in vivo using diffusion MRI

R Garcia-Hernandez, A Cerdán Cerdá… - Science …, 2022 - science.org
While glia are increasingly implicated in the pathophysiology of psychiatric and
neurodegenerative disorders, available methods for imaging these cells in vivo involve …

Anomalous diffusion, aging, and nonergodicity of scaled Brownian motion with fractional Gaussian noise: Overview of related experimental observations and models

W Wang, R Metzler, AG Cherstvy - Physical Chemistry Chemical …, 2022 - pubs.rsc.org
How does a systematic time-dependence of the diffusion coefficient D (t) affect the ergodic
and statistical characteristics of fractional Brownian motion (FBM)? Here, we answer this …

[HTML][HTML] Diffusion time dependence, power-law scaling, and exchange in gray matter

JL Olesen, L Østergaard, N Shemesh, SN Jespersen - NeuroImage, 2022 - Elsevier
Characterizing neural tissue microstructure is a critical goal for future neuroimaging.
Diffusion MRI (dMRI) provides contrasts that reflect diffusing spins' interactions with myriad …

[HTML][HTML] Probing brain tissue microstructure with MRI: principles, challenges, and the role of multidimensional diffusion-relaxation encoding

B Lampinen, F Szczepankiewicz, J Lätt, L Knutsson… - NeuroImage, 2023 - Elsevier
Diffusion MRI uses the random displacement of water molecules to sensitize the signal to
brain microstructure and to properties such as the density and shape of cells. Microstructure …

Mapping 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 mapping structural connectivity in the living human brain with …

A time-dependent diffusion MRI signature of axon caliber variations and beading

HH Lee, A Papaioannou, SL Kim, DS Novikov… - Communications …, 2020 - nature.com
MRI provides a unique non-invasive window into the brain, yet is limited to millimeter
resolution, orders of magnitude coarser than cell dimensions. Here, we show that diffusion …

Diffusion MRI with pulsed and free gradient waveforms: effects of restricted diffusion and exchange

A Chakwizira, CF Westin, J Brabec, S Lasič… - NMR in …, 2023 - Wiley Online Library
Monitoring time dependence with diffusion MRI yields observables sensitive to compartment
sizes (restricted diffusion) and membrane permeability (water exchange). However …