scholarly journals Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI

2019 ◽  
Vol 224 (4) ◽  
pp. 1469-1488 ◽  
Author(s):  
Hong-Hsi Lee ◽  
Katarina Yaros ◽  
Jelle Veraart ◽  
Jasmine L. Pathan ◽  
Feng-Xia Liang ◽  
...  
NeuroImage ◽  
2021 ◽  
Vol 225 ◽  
pp. 117529
Author(s):  
Raimo A. Salo ◽  
Ilya Belevich ◽  
Eija Jokitalo ◽  
Olli Gröhn ◽  
Alejandra Sierra

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Timothy J Ross-Elliott ◽  
Kaare H Jensen ◽  
Katrine S Haaning ◽  
Brittney M Wager ◽  
Jan Knoblauch ◽  
...  

In plants, a complex mixture of solutes and macromolecules is transported by the phloem. Here, we examined how solutes and macromolecules are separated when they exit the phloem during the unloading process. We used a combination of approaches (non-invasive imaging, 3D-electron microscopy, and mathematical modelling) to show that phloem unloading of solutes in Arabidopsis roots occurs through plasmodesmata by a combination of mass flow and diffusion (convective phloem unloading). During unloading, solutes and proteins are diverted into the phloem-pole pericycle, a tissue connected to the protophloem by a unique class of ‘funnel plasmodesmata’. While solutes are unloaded without restriction, large proteins are released through funnel plasmodesmata in discrete pulses, a phenomenon we refer to as ‘batch unloading’. Unlike solutes, these proteins remain restricted to the phloem-pole pericycle. Our data demonstrate a major role for the phloem-pole pericycle in regulating phloem unloading in roots.


NeuroImage ◽  
2018 ◽  
Vol 172 ◽  
pp. 404-414 ◽  
Author(s):  
Raimo A. Salo ◽  
Ilya Belevich ◽  
Eppu Manninen ◽  
Eija Jokitalo ◽  
Olli Gröhn ◽  
...  

Author(s):  
Michiel Kleinnijenhuis ◽  
Errin Johnson ◽  
Jeroen Mollink ◽  
Saad Jbabdi ◽  
Karla L. Miller

ABSTRACTPurposeNeuroscience methods working on widely different scales can complement and inform each other. At the macroscopic scale, magnetic resonance imaging methods that estimate microstructural measures have much to gain from ground truth validation and models based on accurate measurement of that microstructure. We present an approach to generate rich and accurate geometric models of white matter microstructure through dense segmentation of 3D electron microscopy (EM).MethodsVolumetric data of the white matter of the genu of the corpus callosum of the adult mouse brain were acquired using serial blockface scanning electron microscopy (SBF-SEM). A segmentation pipeline was developed to separate the 3D EM data into compartments and individual cellular and subcellular constituents, making use of established tools as well as newly developed algorithms to achieve accurate segmentation of various compartments.ResultsThe volume was segmented into six compartments comprising myelinated axons (axon, myelin sheath, nodes of Ranvier), oligodendrocytes, blood vessels, mitochondria, and unmyelinated axons. The myelinated axons had an average inner diameter of 0.56 μm and an average outer diameter of 0.87 μm. The diameter of unmyelinated axons was 0.43 μm. A mean g-ratio of 0.61 was found for myelinated axons, but the g-ratio was highly variable between as well as within axons.ConclusionThe approach for segmentation of 3D EM data yielded a dense annotation of a range of white matter compartments that can be interrogated for their properties and used for in silico experiments of brain structure. We provide the resulting dense annotation as a resource to the neuroscience community.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Luke Baxter ◽  
Fiona Moultrie ◽  
Sean Fitzgibbon ◽  
Marianne Aspbury ◽  
Roshni Mansfield ◽  
...  

AbstractUnderstanding the neurophysiology underlying neonatal responses to noxious stimulation is central to improving early life pain management. In this neonatal multimodal MRI study, we use resting-state and diffusion MRI to investigate inter-individual variability in noxious-stimulus evoked brain activity. We observe that cerebral haemodynamic responses to experimental noxious stimulation can be predicted from separately acquired resting-state brain activity (n = 18). Applying this prediction model to independent Developing Human Connectome Project data (n = 215), we identify negative associations between predicted noxious-stimulus evoked responses and white matter mean diffusivity. These associations are subsequently confirmed in the original noxious stimulation paradigm dataset, validating the prediction model. Here, we observe that noxious-stimulus evoked brain activity in healthy neonates is coupled to resting-state activity and white matter microstructure, that neural features can be used to predict responses to noxious stimulation, and that the dHCP dataset could be utilised for future exploratory research of early life pain system neurophysiology.


2015 ◽  
Vol 35 (22) ◽  
pp. 8672-8682 ◽  
Author(s):  
Stuart J. Ritchie ◽  
Mark E. Bastin ◽  
Elliot M. Tucker-Drob ◽  
Susana Muñoz Maniega ◽  
Laura E. Engelhardt ◽  
...  

Development ◽  
2017 ◽  
Vol 144 (4) ◽  
pp. e1.2-e1.2
Author(s):  
Louise Hughes ◽  
Samantha Borrett ◽  
Katie Towers ◽  
Tobias Starborg ◽  
Sue Vaughan

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