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Rationale and Objectives: Several quantitative magnetic resonance imaging (MRI) methods are available to measure tissue injury in multiple sclerosis (MS), but their pathological specificity remains limited. The multi-compartment diffusion imaging using the spherical mean technique (SMT) overcomes several technical limitations of the diffusion-weighted image signal, thus delivering metrics with increased pathological specificity. Given these premises, here we assess whether the SMT-derived apparent axonal volume (V ax ) provides a better tissue classifier than the diffusion tensor imaging (DTI)-derived axial diffusivity (AD) in the white matter (WM) of MS brains., Methods: Forty-three treatment-naïve people with newly diagnosed MS, clinically isolated syndrome, or radiologically isolated syndrome and 18 healthy controls (HCs) underwent a 3.0 Tesla MRI inclusive of T 1 -weighted (T 1 -w) and T 2 -w fluid-attenuated inversion recovery (FLAIR) sequences, and multi-b shell diffusion-weighted imaging. In patients only, pre- and post-gadolinium diethylenetriamine penta-acetic acid T 1 -w sequences were obtained for the evaluation of contrast-active lesions (CELs). V ax and AD were calculated in T 2 -lesions, chronic black holes (cBHs), and normal appearing (NAWM) in patients and normal WM (NWM) in HCs. V ax and AD values were compared across all the possible combinations of these regions. CELs were excluded from the analyses., Results: V ax differed in all comparisons (p ≤ 0.047 by paired t-test); AD differed in most comparisons (p < 0.001) except between NAWM and NWM, and between cBHs and T 2 -lesions. V ax had higher accuracy (p ≤ 0.029 by DeLong test) and larger effect size (p ≤ 0.038 by paired t-test) than AD in differentiating areas with even minimal tissue injury., Conclusions: V ax provides a better radiological quantitative discriminator of different degrees of axonal-mediated tissue injury even between areas with expected minimal pathology. Our data support further studies to assess the readiness of V ax as a measure of outcome for clinical trials on neuroprotection in MS., Competing Interests: Declaration of Competing Interest The authors declare no financial interests/personal relationships which may be considered as potential competing interests., (Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.)

Histopathologic studies report higher concentrations of multiple sclerosis white matter lesions in watershed areas of the brain, suggesting that areas with relatively lower oxygen levels may be more vulnerable to disease. However, it is unknown at what point in the disease course lesion predilection for watershed territories begins. Accordingly, we studied a cohort of people with newly diagnosed disease and asked whether (1) white matter lesions disproportionally localize to watershed-regions and (2) the degree of microstructural injury in watershed-lesions is more severe. Fifty-four participants, i.e. 38 newly diagnosed people with multiple sclerosis, clinically isolated syndrome or radiologically isolated syndrome, and 16 age- and sex-matched healthy controls underwent brain magnetic resonance imaging. T 1 -weighted and T 2 -weighted fluid-attenuated inversion recovery sequences, selective inversion recovery quantitative magnetisation transfer images, and the multi-compartment diffusion imaging with the spherical mean technique were acquired. We computed the macromolecular-to-free pool size ratio, and the apparent axonal volume fraction maps to indirectly estimate myelin and axonal integrity, respectively. We produced a flow territory atlas in each subject's native T 2 -weighted fluid-attenuated inversion recovery images using a T 1 -weighted magnetic resonance imaging template in the Montreal Neurological Institute 152 space. Lesion location relative to the watershed, non-watershed and mixed brain vascular territories was annotated. The same process was performed on the T 2 -weighted fluid-attenuated inversion recovery images of the healthy controls using 294 regions of interest. Generalized linear mixed models for continuous outcomes were used to assess differences in size, pool size ratio and axonal volume fraction between lesions/regions of interests (in healthy controls) situated in different vascular territories. In patients, we assessed 758 T 2 -lesions and 356 chronic black holes (cBHs). The watershed-territories had higher relative and absolute concentrations of T 2 -lesions ( P ≤0.041) and cBHs ( P ≤0.036) compared to either non-watershed- or mixed-zones. T 2 -lesions in watershed-areas also had lower pool size ratio relative to T 2 -lesions in either non-watershed- or mixed-zones ( P = 0.039). These results retained significance in the sub-cohort of people without vascular comorbidities and when accounting for periventricular lesions. In healthy controls, axonal volume fraction was higher only in mixed-areas regions of interest compared to non-watershed-ones ( P = 0.008). No differences in pool size ratio were seen. We provide in vivo evidence that there is an association between arterial vascularisation of the brain and multiple sclerosis-induced tissue injury as early as the time of disease diagnosis. Our findings underline the importance of oxygen delivery and healthy arterial vascularisation to prevent lesion formation and foster a better outcome in multiple sclerosis., Competing Interests: None of the authors has any competing interest to declare., (Published by Oxford University Press on behalf of the Guarantors of Brain 2024.)

High-resolution 3D images of organelles are of paramount importance in cellular biology. Although light microscopy and transmission electron microscopy (TEM) have provided the standard for imaging cellular structures, they cannot provide 3D images. However, recent technological advances such as serial block-face scanning electron microscopy (SBF-SEM) and focused ion beam scanning electron microscopy (FIB-SEM) provide the tools to create 3D images for the ultrastructural analysis of organelles. Here, we describe a standardized protocol using the visualization software, Amira, to quantify organelle morphologies in 3D, thereby providing accurate and reproducible measurements of these cellular substructures. We demonstrate applications of SBF-SEM and Amira to quantify mitochondria and endoplasmic reticulum (ER) structures.

Transmission electron microscopy (TEM) is widely used as an imaging modality to provide high-resolution details of subcellular components within cells and tissues. Mitochondria and endoplasmic reticulum (ER) are organelles of particular interest to those investigating metabolic disorders. A straightforward method for quantifying and characterizing particular aspects of these organelles would be a useful tool. In this protocol, we outline how to accurately assess the morphology of these important subcellular structures using open source software ImageJ , originally developed by the National Institutes of Health (NIH). Specifically, we detail how to obtain mitochondrial length, width, area, and circularity, in addition to assessing cristae morphology and measuring mito/endoplasmic reticulum (ER) interactions. These procedures provide useful tools for quantifying and characterizing key features of sub-cellular morphology, leading to accurate and reproducible measurements and visualizations of mitochondria and ER.

Mentoring is a developmental experience intended to increase the willingness to learn and establish credibility while building positive relationships through networking. In this commentary, we focus on intentional mentoring for underrepresented mentees, including individuals that belong to minority racial, ethnic and gender identity groups in Science, Technology, Engineering, Mathematics and Medicine (STEMM) fields. Intentional mentoring is the superpower action necessary for developing harmony and comprehending the purpose and value of the mentor/mentee relationship. Regardless of a mentor's career stage, we believe the strategies discussed may be used to create a supportive and constructive mentorship environment; thereby improving the retention rates of underrepresented mentees within the scientific community., (© The Author(s) 2021. Published by Oxford University Press on behalf of FEMS.)

While it is commonly thought that microaggressions are isolated incidents, microaggressions are ingrained throughout the academic research institution (Young, Anderson and Stewart 2015; Lee et al. 2020). Persons Excluded from science because of Ethnicity and Race (PEERs) frequently experience microaggressions from various academicians, including graduate students, postdocs and faculty (Asai 2020; Lee et al. 2020). Here, we elaborate on a rationale for concrete actions to cope with and diminish acts of microaggressions that may otherwise hinder the inclusion of PEERs. We encourage Science, Technology, Engineering and Mathematics (STEM) departments and leadership to affirm PEER scholar identities and promote allyship by infusing sensitivity, responsiveness and anti-bias awareness., (© The Author(s) 2021. Published by Oxford University Press on behalf of FEMS.)