Tractostorm: The what,why, and how of tractography dissection reproducibility

Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called “virtual dissection.” Human errors and personal decisions make these manual segmentations hard to reproduce, which have not yet been quantified by the dMRI community. It is our opinion that if the field of dMRI tractography wants to be taken seriously as a widespread clinical tool, it is imperative to harmonize WM bundle segmentations and develop protocols aimed to be used in clinical settings. The EADC‐ADNI Harmonized Hippocampal Protocol achieved such standardization through a series of steps that must be reproduced for every WM bundle. This article is an observation of the problematic. A specific bundle segmentation protocol was used in order to provide a real‐life example, but the contribution of this article is to discuss the need for reproducibility and standardized protocol, as for any measurement tool. This study required the participation of 11 experts and 13 nonexperts in neuroanatomy and “virtual dissection” across various laboratories and hospitals. Intra‐rater agreement (Dice score) was approximately 0.77, while inter‐rater was approximately 0.65. The protocol provided to participants was not necessarily optimal, but its design mimics, in essence, what will be required in future protocols. Reporting tractometry results such as average fractional anisotropy, volume or streamline count of a particular bundle without a sufficient reproducibility score could make the analysis and interpretations more difficult. Coordinated efforts by the diffusion MRI tractography community are needed to quantify and account for reproducibility of WM bundle extraction protocols in this era of open and collaborative science.     

Tractostorm 2: Optimizing tractography dissection reproducibility with segmentation protocol dissemination

The segmentation of brain structures is a key component of many neuroimaging studies. Consistent anatomical definitions are crucial to ensure consensus on the position and shape of brain structures, but segmentations are prone to variation in their interpretation and execution. White‐matter (WM) pathways are global structures of the brain defined by local landmarks, which leads to anatomical definitions being difficult to convey, learn, or teach. Moreover, the complex shape of WM pathways and their representation using tractography (streamlines) make the design and evaluation of dissection protocols difficult and time‐consuming. The first iteration of Tractostorm quantified the variability of a pyramidal tract dissection protocol and compared results between experts in neuroanatomy and nonexperts. Despite virtual dissection being used for decades, in‐depth investigations of how learning or practicing such protocols impact dissection results are nonexistent. To begin to fill the gap, we evaluate an online educational tractography course and investigate the impact learning and practicing a dissection protocol has on interrater (groupwise) reproducibility. To generate the required data to quantify reproducibility across raters and time, 20 independent raters performed dissections of three bundles of interest on five Human Connectome Project subjects, each with four timepoints. Our investigation shows that the dissection protocol in conjunction with an online course achieves a high level of reproducibility (between 0.85 and 0.90 for the voxel‐based Dice score) for the three bundles of interest and remains stable over time (repetition of the protocol). Suggesting that once raters are familiar with the software and tasks at hand, their interpretation and execution at the group level do not drastically vary. When compared to previous work that used a different method of communication for the protocol, our results show that incorporating a virtual educational session increased reproducibility. Insights from this work may be used to improve the future design of WM pathway dissection protocols and to further inform neuroanatomical definitions.     

Aβ induces its own prion protein N-terminal fragment (PrPN1)–mediated neutralization in amorphous aggregates

Plasma membrane cellular prion protein (PrP^C) is a high-affinity receptor for toxic soluble amyloid-β (Aβ) oligomers that mediates synaptic dysfunction. Secreted forms of PrP^C resulting from PrP^C α-cleavage (PrPN1) or shedding (shed PrP^C) display neuroprotective activity in neuronal cultures and in mouse models of Aβ-induced neuronal dysfunction. In vitro, recombinant PrPN1 and PrP inhibit Aβ fibrillization. However, the mechanism by which PrPN1 and shed PrP^C neutralize Aβ oligomers is unclear, and evidence of such neuroprotective activity in Alzheimer's disease (AD) patients is lacking. Here, we show that PrPN1 association with Aβ causes a conformational change resulting in the formation of amorphous and insoluble aggregates that are not compatible with the assembly of Aβs. Using postmortem brain tissues of AD patients, we were able to coimmunoprecipitate Aβ with PrP^C molecules and observed a coaggregation of Aβ and PrPN1 in the guanidine-extractable fraction presumably representing insoluble amyloid plaques. Furthermore, PrP^C α-cleavage is increased in AD brains, and we noticed a significant positive correlation between the levels of α-cleavage and of guanidine-extractable Aβ. These data strongly support the hypothesis that PrP^C α-cleavage is an endogenous neuroprotective mechanism in AD and support the development of PrP^C-derived peptides as therapeutic molecules for AD.     

Analysis of the skin of mice humanized for the immune system

Development of new immunotherapeutic strategies relies on the ability to activate the right cells at the right place and at the right moment and on the capacity of these cells to home to the right organ(s). Skin delivery has shown high potency for immunotherapeutic administration. However, an adequate in vivo model of human skin immunity is still a critical bottleneck. We demonstrated here that the skin of human immune system mice is colonized by human hematopoietic cells, mainly human T cells and that complementation with human antigen‐presenting cells at the vaccination site allowed the induction of an immune response.     

Intra-rater Reliability of a Qualitative Landing Scale for the Single-Hop Test: A Pilot Study

BackgroundThe test battery classically used for return-to-sport (RTS) decision-making after anterior cruciate ligament (ACL) reconstruction (ACLR) may not be sufficient, as it does not include a qualitative analysis of movement. Therefore, the Landing Error Scoring System (LESS) scale was adapted to a primary functional test in the typical RTS test battery: the single leg hop for distance (SHD).Hypothesis/ PurposeThe aim of this study was to determine the intra-rater reliability of the LESS scale adapted to the SHD (SHD-LESS scale) in healthy young athletes.Study DesignReliability analysisMethodsNineteen healthy individuals (14 men, 5 women; mean age: 22.4 years) participated in the study. Participants performed the SHD tasks on both limbs (dominant and non-dominant) using a standardized protocol in two sessions that were one week apart (single reviewer; 2-dimensional video). Intra-class correlation coefficients (ICC2,1) were used to measure the reproducibility of the scale in the dominant (dom) and non-dominant (nondom) limbs. Additionally, limb data (dom and nondom) were pooled and evaluated collectively with intra-class correlation coefficients. The Kappa coefficient was used to assess the reproducibility of each individual item of SHD-LESS scale.ResultsThe intra-rater reliability was good (ICCdom = 0.77; ICCnondom = 0.87; ICCpooled = 0.87) for the overall SHD-LESS scale scores. Agreement of SHD-LESS individual items ranged from 62% to 100%. Dorsiflexion at initial contact (97% agreement; kappa value=0.79) and knee valgus after landing (88% agreement; kappa value=0.65) had excellent agreement and kappa values.ConclusionThe newly-adapted SHD-LESS scale showed good intra-rater reliability overall. Further studies should evaluate the impact of using the SHD-LESS scale within the RTS test battery on outcomes in patients after ACLR.Level of Evidence3     

Major bleeding with antithrombotic agents: a 2012–2015 study using the French nationwide Health Insurance database linked to emergency department records within five areas – rationale and design of SACHA study

Bleeding represents the most recognized and feared complications of antithrombotic drugs including oral anticoagulants. Previous studies showed inconsistent results on the safety profile. Among explanations, bleeding definition could vary and classification bias exists related to the lack of medical evaluation. To quantify the risk of major haemorrhagic event and event‐free survival associated with antithrombotic drugs (vitamin K antagonist [VKA], non‐VKA anticoagulant [NOAC], antiplatelet agent, parenteral anticoagulant) in 2012–2015, we linked the French nationwide Health Insurance database (SNIIRAM) with a local ‘emergency database’ (clinical and biological data collected in clinical records). In the VKA‐NOAC comparison, a Cox regression analysis will be used to estimate the hazard ratio of major haemorrhagic event adjusted on gender, modified HAS‐BLED score and comorbidities. A distinction on the type of major haemorrhagic event (intracranial, gastrointestinal and other haemorrhagic events) was made. We present here the study protocol and the database linkage results. Using six linkage keys, among 3 837 557 hospital visits identified in SNIIRAM, 5264 have been matched with a major haemorrhagic event identified in the ‘emergency database’, thus clinically confirmed. The 1090 unmatched haemorrhagic events could be explained by the fact that patients were not extracted in the SNIIRAM database (patients living in accommodation establishment with internal use of pharmacy, military people with specific insurance…). We showed the value of SNIIRAM enrichment with a clinical database, a necessary step to categorize haemorrhagic events by a clinically relevant definition and medical validation; it will allow to estimate more accuracy each type of haemorrhagic event.