Entanglements of faith: Discourses, practices of care and homeless people in an Italian City of Saints

This is the author accepted manuscript. The final version is available from SAGE via http://dx.doi.org/10.1177/0042098013514620This paper investigates how Catholic-inspired services for homeless people are delivered in Turin, Italy. The purpose is to critically interrogate particular faith-based organisations’ moral discourses on homelessness, and to show how they are enacted through practices of care directed at the homeless subject. The paper contributes to the geographical literature on faith-based organisations addressing its shortcomings – namely the lack of critical and contextual focus on faith-based organisations’ ‘love for the poor’. To address this point, the paper takes a vitalist perspective on the urban and introduces the notion of the ‘entanglements of faith’, which allows an integrated and grounded perspective on faith-based organisations’ interventions. The outcomes of the work suggest that these faith-based organisations propose standardised services that, producing particular assemblages and affective atmospheres, have deep emotional and relational effects on their recipients. Further lines of research are sketched in the conclusions

Quality assessment, variability and reproducibility of anatomical measurements derived from T1-weighted brain imaging: The RIN–Neuroimaging Network case study

Initiatives for the collection of harmonized MRI datasets are growing continuously, opening questions on the reliability of results obtained in multi-site contexts. Here we present the assessment of the brain anatomical variability of MRI-derived measurements obtained from T1-weighted images, acquired according to the Standard Operating Procedures, promoted by the RIN-Neuroimaging Network. A multicentric dataset composed of 77 brain T1w acquisitions of young healthy volunteers (mean age = 29.7 ± 5.0 years), collected in 15 sites with MRI scanners of three different vendors, was considered. Parallelly, a dataset of 7 “traveling” subjects, each undergoing three acquisitions with scanners from different vendors, was also used. Intra-site, intra-vendor, and inter-site variabilities were evaluated in terms of the percentage standard deviation of volumetric and cortical thickness measures. Image quality metrics such as contrast-to-noise and signal-to-noise ratio in gray and white matter were also assessed for all sites and vendors. The results showed a measured global variability that ranges from 11% to 19% for subcortical volumes and from 3% to 10% for cortical thicknesses. Univariate distributions of the normalized volumes of subcortical regions, as well as the distributions of the thickness of cortical parcels appeared to be significantly different among sites in 8 subcortical (out of 17) and 21 cortical (out of 68) regions of i nterest in the multicentric study. The Bland-Altman analysis on “traveling” brain measurements did not detect systematic scanner biases even though a multivariate classification approach was able to classify the scanner vendor from brain measures with an accuracy of 0.60 ± 0.14 (chance level 0.33)

Multi-centre and multi-vendor reproducibility of a standardized protocol for quantitative susceptibility Mapping of the human brain at 3T

Quantitative Susceptibility Mapping (QSM) is an MRI-based technique allowing the non-invasive quantification of iron content and myelination in the brain. The RIN – Neuroimaging Network established an optimized and harmonized protocol for QSM across ten sites with 3T MRI systems from three different vendors to enable multicentric studies. The assessment of the reproducibility of this protocol is crucial to establish susceptibility as a quantitative biomarker. In this work, we evaluated cross-vendor reproducibility in a group of six traveling brains. Then, we recruited fifty-one volunteers and measured the variability of QSM values in a cohort of healthy subjects scanned at different sites, simulating a multicentric study. Both voxelwise and Region of Interest (ROI)-based analysis on cortical and subcortical gray matter were performed. The traveling brain study yielded high structural similarity (∼0.8) and excellent reproducibility comparing maps acquired on scanners from two different vendors. Depending on the ROI, we reported a quantification error ranging from 0.001 to 0.017 ppm for the traveling brains. In the cohort of fifty-one healthy subjects scanned at nine different sites, the ROI-dependent variability of susceptibility values, of the order of 0.005–0.025 ppm, was comparable to the result of the traveling brain experiment. The harmonized QSM protocol of the RIN – Neuroimaging Network provides a reliable quantification of susceptibility in both cortical and subcortical gray matter regions and it is ready for multicentric and longitudinal clinical studies in neurological and pychiatric diseases

Evaluation of iron overload in nigrosome 1 via quantitative susceptibility mapping as a progression biomarker in prodromal stages of synucleinopathies

Idiopathic rapid eye movement (REM) sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies, such as Parkinson's disease (PD), which are characterized by the loss of dopaminergic neurons in substantia nigra, associated with abnormal iron load. The assessment of presymptomatic biomarkers predicting the onset of neurodegenerative disorders is critical for monitoring early signs, screening patients for neuroprotective clinical trials and understanding the causal relationship between iron accumulation processes and disease development. Here, we used Quantitative Susceptibility Mapping (QSM) and 7T MRI to quantify iron deposition in Nigrosome 1 (N1) in early PD (ePD) patients, iRBD patients and healthy controls and investigated group differences and correlation with disease progression. We evaluated the radiological appearance of N1 and analyzed its iron content in 35 ePD, 30 iRBD patients and 14 healthy controls via T2*-weighted sequences and susceptibility (χ) maps. N1 regions of interest (ROIs) were manually drawn on control subjects and warped onto a study-specific template to obtain probabilistic N1 ROIs. For each subject the N1 with the highest mean χ was considered for statistical analysis. The appearance of N1 was rated pathological in 45% of iRBD patients. ePD patients showed increased N1 χ compared to iRBD patients and HC but no correlation with disease duration, indicating that iron load remains stable during the early stages of disease progression. Although no difference was reported in iron content between iRBD and HC, N1 χ in the iRBD group increases as the disease evolves. QSM can reveal temporal changes in N1 iron content and its quantification may represent a valuable presymptomatic biomarker to assess neurodegeneration in the prodromal stages of PD

Navigating and negotiating ethnographies of urban hustle in Nairobi slums

This paper reflects on doing and writing ethnography on the urban margins, where uncertainty and provisionality mark the everyday city. The discussion is situated within a postcolonial approach to ethnographies of ‘hustle’ in Nairobi slums, critically reflecting on methodological choices made to facilitate the licence to linger in intimate and interstitial spaces of neighbourhoods often closed off to visitors. The paper argues that while urban ethnography is foundational to postcolonial scholarship on African cities, it is also vexed with tensions between ethnographic experience of the provisional and uncertain lived reality in which ethnographers seek to embed themselves for periods of time, and the ethnographic representation that emerges in the form of ethnographic authorship. The paper engages with the methodological tactic of engaging in waste work as an ‘apprentice researcher’; and with the theoretical choice of deploying the very vocabularies and expressions of struggle of interlocutors living and working in the ‘slums’ of Nairobi

‘Get out of Traian Square!’ : Roma Stigmatisation as a Mobilising Tool for the Far Right in Timişoara, Romania

Post-communist Central and Eastern Europe has seen far right movements and parties gain considerable ground by drawing on nativist and ethnic claims to call for a return to an imagined past. In Romania, far right groups have been able to capitalise on a sense of injustice while also playing on historically negative feelings towards the Roma community. These patterns have been seen in Timişoara where the group Noua Dreaptă (New Right) has established a foothold over the past decade by emphasising claims that blame Roma for loss of built heritage and corruption in the administration of property restitution. The aims of this paper are to 1) examine the emergence of Noua Dreaptă and its use of Roma stigmatisation, and 2) consider the ways extreme views are normalised by appealing to beliefs and perceptions. The findings of the paper show that pre-existing prejudices can be a powerful force to not just target marginalised communities, but also challenge administrative practices and build organisational support. Focusing at the level of the city, it is possible to identify the way these claims can be more precisely calibrated to draw on concerns that circulate within the community

Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA

Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm capable of differentiating Alzheimer’s dementia, frontotemporal dementia, dementia with Lewy bodies and cognitively normal control subjects based on sociodemographic, clinical, and magnetic resonance imaging (MRI) variables. 506 subjects from 5 databases were included. MRI images were processed with FreeSurfer, LPA, and TRACULA to obtain brain volumes and thicknesses, white matter lesions and diffusion metrics. MRI metrics were used in conjunction with clinical and demographic data to perform differential diagnosis based on a Support Vector Machine model called MUQUBIA (Multimodal Quantification of Brain whIte matter biomArkers). Age, gender, Clinical Dementia Rating (CDR) Dementia Staging Instrument, and 19 imaging features formed the best set of discriminative features. The predictive model performed with an overall Area Under the Curve of 98%, high overall precision (88%), recall (88%), and F1 scores (88%) in the test group, and good Label Ranking Average Precision score (0.95) in a subset of neuropathologically assessed patients. The results of MUQUBIA were explained by the SHapley Additive exPlanations (SHAP) method. The MUQUBIA algorithm successfully classified various dementias with good performance using cost-effective clinical and MRI information, and with independent validation, has the potential to assist physicians in their clinical diagnosis

Making home or making do : a critical look at homemaking without a home

This paper critically examines the concept of alternative forms of ‘homemaking’ among people without a settled home. The introductory section establishes the framework for the paper, providing an overview of homelessness and the homemaking literature. Strengths in the homemaking approach are identified, which reconceptualises homelessness as a human-centered phenomenon that can be understood as ‘resistance’ to societies that block accesses to mainstream housing for people who are (also) socially and economically marginalised. Homemaking moves beyond mainstream academic analyses which explore homelessness in terms of ‘sin’ (addiction and criminality), ‘sickness’ (poor health, especially poor mental health) and ‘systems’ (housing market failure and inadequate social protection and public health systems). The paper argues that, while important in refreshing our thinking about homelessness by offering a new, radical epistemology of housing, homemaking is limited by not contextualising the dwelling practices it seeks to explain, particularly in respect of how it defines ‘homelessness’ and also risks misinterpreting transitory behavioural adaptations as something deeper