Evidence for segregated and integrative connectivity patterns in the human Basal Ganglia.

Detailed knowledge of the anatomy and connectivity pattern of cortico-basal ganglia circuits is essential to an understanding of abnormal cortical function and pathophysiology associated with a wide range of neurological and neuropsychiatric diseases. We aim to study the spatial extent and topography of human basal ganglia connectivity in vivo. Additionally, we explore at an anatomical level the hypothesis of coexistent segregated and integrative cortico-basal ganglia loops. We use probabilistic tractography on magnetic resonance diffusion weighted imaging data to segment basal ganglia and thalamus in 30 healthy subjects based on their cortical and subcortical projections. We introduce a novel method to define voxel-based connectivity profiles that allow representation of projections from a source to more than one target region. Using this method, we localize specific relay nuclei within predefined functional circuits. We find strong correlation between tractography-based basal ganglia parcellation and anatomical data from previously reported invasive tracing studies in nonhuman primates. Additionally, we show in vivo the anatomical basis of segregated loops and the extent of their overlap in prefrontal, premotor, and motor networks. Our findings in healthy humans support the notion that probabilistic diffusion tractography can be used to parcellate subcortical gray matter structures on the basis of their connectivity patterns. The coexistence of clearly segregated and also overlapping connections from cortical sites to basal ganglia subregions is a neuroanatomical correlate of both parallel and integrative networks within them. We believe that this method can be used to examine pathophysiological concepts in a number of basal ganglia-related disorders.

Source-wavelet estimation during full-waveform inversion of ground-penetrating radar data

A major issue in the application of waveform inversion methods to crosshole ground-penetrating radar (GPR) data is the accurate estimation of the source wavelet. Here, we explore the viability and robustness of incorporating this step into a recently published time-domain inversion procedure through an iterative deconvolution approach. Our results indicate that, at least in non-dispersive electrical environments, such an approach provides remarkably accurate and robust estimates of the source wavelet even in the presence of strong heterogeneity of both the dielectric permittivity and electrical conductivity. Our results also indicate that the proposed source wavelet estimation approach is relatively insensitive to ambient noise and to the phase characteristics of the starting wavelet. Finally, there appears to be little to no trade-off between the wavelet estimation and the tomographic imaging procedures.

Improvement of cardiovascular risk prediction: time to review current knowledge, debates, and fundamentals on how to assess test characteristics.

Cardiovascular risk assessment might be improved with the addition of emerging, new tests derived from atherosclerosis imaging, laboratory tests or functional tests. This article reviews relative risk, odds ratios, receiver-operating curves, posttest risk calculations based on likelihood ratios, the net reclassification improvement and integrated discrimination. This serves to determine whether a new test has an added clinical value on top of conventional risk testing and how this can be verified statistically. Two clinically meaningful examples serve to illustrate novel approaches. This work serves as a review and basic work for the development of new guidelines on cardiovascular risk prediction, taking into account emerging tests, to be proposed by members of the 'Taskforce on Vascular Risk Prediction' under the auspices of the Working Group 'Swiss Atherosclerosis' of the Swiss Society of Cardiology in the future.

Firm's network capability and innovation performance: evidences from China hi-tech industry

ABSTRACT : A firm's competitive advantage can arise from internal resources as well as from an interfirm network. -This dissertation investigates the competitive advantage of a firm involved in an innovation network by integrating strategic management theory and social network theory. It develops theory and provides empirical evidence that illustrates how a networked firm enables the network value and appropriates this value in an optimal way according to its strategic purpose. The four inter-related essays in this dissertation provide a framework that sheds light on the extraction of value from an innovation network by managing and designing the network in a proactive manner. The first essay reviews research in social network theory and knowledge transfer management, and identifies the crucial factors of innovation network configuration for a firm's learning performance or innovation output. The findings suggest that network structure, network relationship, and network position all impact on a firm's performance. Although the previous literature indicates that there are disagreements about the impact of dense or spare structure, as well as strong or weak ties, case evidence from Chinese software companies reveals that dense and strong connections with partners are positively associated with firms' performance. The second essay is a theoretical essay that illustrates the limitations of social network theory for explaining the source of network value and offers a new theoretical model that applies resource-based view to network environments. It suggests that network configurations, such as network structure, network relationship and network position, can be considered important network resources. In addition, this essay introduces the concept of network capability, and suggests that four types of network capabilities play an important role in unlocking the potential value of network resources and determining the distribution of network rents between partners. This essay also highlights the contingent effects of network capability on a firm's innovation output, and explains how the different impacts of network capability depend on a firm's strategic choices. This new theoretical model has been pre-tested with a case study of China software industry, which enhances the internal validity of this theory. The third essay addresses the questions of what impact network capability has on firm innovation performance and what are the antecedent factors of network capability. This essay employs a structural equation modelling methodology that uses a sample of 211 Chinese Hi-tech firms. It develops a measurement of network capability and reveals that networked firms deal with cooperation between, and coordination with partners on different levels according to their levels of network capability. The empirical results also suggests that IT maturity, the openness of culture, management system involved, and experience with network activities are antecedents of network capabilities. Furthermore, the two-group analysis of the role of international partner(s) shows that when there is a culture and norm gap between foreign partners, a firm must mobilize more resources and effort to improve its performance with respect to its innovation network. The fourth essay addresses the way in which network capabilities influence firm innovation performance. By using hierarchical multiple regression with data from Chinese Hi-tech firms, the findings suggest that there is a significant partial mediating effect of knowledge transfer on the relationships between network capabilities and innovation performance. The findings also reveal that the impacts of network capabilities divert with the environment and strategic decision the firm has made: exploration or exploitation. Network constructing capability provides a greater positive impact on and yields more contributions to innovation performance than does network operating capability in an exploration network. Network operating capability is more important than network constructing capability for innovative firms in an exploitation network. Therefore, these findings highlight that the firm can shape the innovation network proactively for better benefits, but when it does so, it should adjust its focus and change its efforts in accordance with its innovation purposes or strategic orientation.

The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes.

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/

La pertinence en science forensique. Une (en)quête épistémologique et empirique

A criminal investigation requires to search and to interpret vestiges of a criminal act that happened in a past time. The forensic investigator arises in this context as a critical reader of the investigation scene, in search of physical traces that should enable her to tell a story of the offence/crime which allegedly occurred. The challenge of any investigator is to detect and recognise relevant physical traces in order to provide forensic clues for investigation and intelligence purposes. Inspired by this obser- vation, the current research focuses on the following questions : What is a relevant physical trace? And, how does the forensic investigator know she is facing one ? The interest of such questions is to provide a definition of a dimension often used in forensic science but never studied in its implications and operations. This doctoral research investigates scientific paths that are not often explored in forensic science, by using semiotic and sociological tools combined with statistical data analysis. The results are shown following a semiotic path, strongly influenced by Peir- ce's studies, and a second track, called empirical, where investigations data were analysed and forensic investigators interviewed about their work practices in the field. By the semiotic track, a macroscopic view is given of a signification process running from the discove- red physical trace at the scene to what is evaluated as being relevant for the investigator. The physical trace is perceived in the form of several signs, whose meaning is culturally codified. The reasoning should consist of three main steps : 1- What kind of source does the discovered physical trace refer to ? 2- What cause/activity is at the origin of this source in the specific context of the case ? 3- What story can be told from these observations ? The stage 3 requires to reason in creating hypotheses that should explain the presence of the discovered trace coming from an activity ; the specific activity that is related to the investigated case. To validate this assumption, it would depend on their ability to respond to a rule of relevancy. The last step is the symbolisation of the relevancy. The rule would consist of two points : the recognition of the factual/circumstantial relevancy (Is the link between the trace and the case recognised with the formulated hypothesis ? ) and appropriate relevancy (What investment is required to collect and analyse the discovered trace considering the expected outcome at the investigation/intelligence level?). This process of meaning is based on observations and a conjectural reasoning subject to many influences. In this study, relevancy in forensic science is presented as a conventional dimension that is symbolised and conditioned by the context, the forensic investigator's practice and her workplace environment (culture of the place). In short, the current research states relevancy results of the interactions between parameters from situational, structural (or organisational) and individual orders. The detection, collection and analysis of relevant physical traces at scenes depends on the knowledge and culture mastered by the forensic investigator. In the study of the relation relevant trace-forensic investigator, this research introduces the KEE model as a conceptual map that illustrates three major areas of forensic knowledge and culture acquisition, involved in the research and evaluation of the relevant physical trace. Through the analysis of the investigation data and interviews, the relationship between those three parameters and the relevancy was highlighted. K, for knowing, embodies a rela- tionship to the immediate knowledge allowing to give an overview of the reality at a specific moment ; an important point since relevancy is signified in a context. E, for education, is considered through its relationship with relevancy via a culture that tends to become institutionalised ; it represents the theoretical knowledge. As for the parameter E, for experience, it exists in its relation to relevancy in the adjustments of the strategies of intervention (i.e a practical knowledge) of each practitioner having modulated her work in the light of success and setbacks case after case. The two E parameters constitute the library resources for the semiotic recognition process and the K parameter ensures the contextualisation required to set up the reasoning and to formulate explanatory hypotheses for the discovered physical traces, questioned in their relevancy. This research demonstrates that the relevancy is not absolute. It is temporal and contextual; it is a conventional and relative dimension that must be discussed. This is where the whole issue of the meaning of what is relevant to each stakeholder of the investigation process rests. By proposing a step by step approach to the meaning process from the physical trace to the forensic clue, this study aims to provide a more advanced understanding of the reasoning and its operation, in order to streng- then forensic investigators' training. This doctoral research presents a set of tools critical to both pedagogical and practical aspects for crime scene management while identifying key-influences with individual, structural and situational dimensions. - Une enquête criminelle consiste à rechercher et à faire parler les vestiges d'un acte incriminé passé. L'investigateur forensique se pose dans ce cadre comme un lecteur critique des lieux à la recherche de traces devant lui permettre de former son récit, soit l'histoire du délit/crime censé s'être produit. Le challenge de tout investigateur est de pouvoir détecter et reconnaître les traces dites pertinentes pour fournir des indices forensiques à buts d'enquête et de renseignement. Inspirée par un tel constat, la présente recherche pose au coeur de ses réflexions les questions suivantes : Qu'est-ce qu'une trace pertinente ? Et, comment fait le forensicien pour déterminer qu'il y fait face ? L'intérêt de tels questionnements se comprend dans la volonté de définir une dimension souvent utili- sée en science forensique, mais encore jamais étudiée dans ses implications et fonctionnements. Cette recherche se lance dans des voies d'étude encore peu explorées en usant d'outils sémiotiques et des pratiques d'enquêtes sociologiques combinés à des traitements statistiques de données. Les résultats sont représentés en suivant une piste sémiotique fortement influencée par les écrits de Peirce et une seconde piste dite empirique où des données d'interventions ont été analysées et des investigateurs forensiques interviewés sur leurs pratiques de travail sur le terrain. Par la piste sémiotique, une vision macroscopique du processus de signification de la trace en élément pertinent est représentée. La trace est perçue sous la forme de plusieurs signes dont la signification est codifiée culturellement. Le raisonnement se formaliserait en trois principales étapes : 1- Quel type de source évoque la trace détectée? 2- Quelle cause/activité est à l'origine de cette source dans le contexte précis du cas ? 3- Quelle histoire peut être racontée à partir de ces observations ? Cette dernière étape consiste à raisonner en créant des hypothèses devant expliquer la présence de la trace détectée suite à une activité posée comme étant en lien avec le cas investigué. Pour valider ces hypothèses, cela dépendrait de leur capacité à répondre à une règle, celle de la pertinence. Cette dernière étape consiste en la symbolisation de la pertinence. La règle se composerait de deux points : la reconnaissance de la pertinence factuelle (le lien entre la trace et le cas est-il reconnu dans l'hypothèse fournie?) et la pertinence appropriée (quel est l'investissement à fournir dans la collecte et l'exploitation de la trace pour le bénéfice attendu au niveau de l'investigation/renseignement?). Tout ce processus de signification se base sur des observations et un raisonnement conjectural soumis à de nombreuses influences. Dans cette étude, la pertinence en science forensique se formalise sous les traits d'une dimension conventionnelle, symbolisée, conditionnée par le contexte, la pratique de l'investigateur forensique et la culture du milieu ; en somme cette recherche avance que la pertinence est le fruit d'une interaction entre des paramètres d'ordre situationnel, structurel (ou organisationnel) et individuel. Garantir la détection, la collecte et l'exploitation des traces pertinentes sur les lieux dépend de la connaissance et d'une culture maîtrisées par le forensicien. Dans l'étude du rapport trace pertinente-investigateur forensique, la présente recherche pose le modèle SFE comme une carte conceptuelle illustrant trois grands axes d'acquisition de la connaissance et de la culture forensiques intervenant dans la recherche et l'évaluation de la trace pertinente. Par l'analyse des données d'in- terventions et des entretiens, le rapport entre ces trois paramètres et la pertinence a été mis en évidence. S, pour savoir, incarne un rapport à la connaissance immédiate pour se faire une représentation d'une réalité à un instant donné, un point important pour une pertinence qui se comprend dans un contexte. F, pour formation, se conçoit dans son rapport à la pertinence via cette culture qui tend à s'institutionnaliser (soit une connaissance théorique). Quant au paramètre E, pour expérience, il se comprend dans son rapport à la pertinence dans cet ajustement des stratégies d'intervention (soit une connaissance pratique) de chaque praticien ayant modulé leur travail au regard des succès et échecs enregistrés cas après cas. F et E formeraient la bibliothèque de ressources permettant le processus de reconnaissance sémiotique et S assurerait la contextualisation nécessaire pour poser le raisonnement et formuler les hypothèses explicatives pour les traces détectées et questionnées dans leur pertinence. Ce travail démontre que la pertinence n'est pas absolue. Elle est temporelle et contextuelle, c'est une dimension conventionnelle relative et interprétée qui se doit d'être discutée. C'est là que repose toute la problématique de la signification de ce qui est pertinent pour chaque participant du processus d'investigation. En proposant une lecture par étapes du processus de signification depuis la trace à l'indice, l'étude vise à offrir une compréhension plus poussée du raisonnement et de son fonctionnement pour renforcer la formation des intervenants forensiques. Cette recherche présente ainsi un ensemble d'outils critiques à portée tant pédagogiques que pratiques pour la gestion des lieux tout en identifiant des influences-clé jouées par des dimensions individuelles, structurelles et situationnelles.

Implementation of guidelines on delirium in a General Hospital: a before-after study of their impact on caregivers' knowledge and clinical skills

INTRODUCTION: Delirium is a highly prevalent disorder, with serious consequences for the hospitalised patient. Nevertheless, it remains under-diagnosed and under-treated. We developed evidence-based clinical practice guidelines (CPGs) focusing on prevention, screening, diagnosis, and treatment of delirium in a general hospital. This article presents the implementation process of these CPGs and a before-after study assessing their impact on healthcare professionals' knowledge and on clinical practice. METHODS: CPGs on delirium were first implemented in two wards (Neurology and Neurosurgery) of the Lausanne university hospital. Interactive one-hour educational sessions for small groups of nurses and physicians were organised. Participants received a summary of the guidelines and completed a multiple choice questionnaire, assessing putative changes in knowledge, before and three months after the educational session. Other indicators such as "diagnosis of delirium" reported in the discharge letters, and mean duration of patients' hospital stay before and after implementation were compared. RESULTS: Eighty percent of the nurses and physicians from the Neurology and Neurosurgery wards attended the educational sessions. Both nurses and physicians significantly improved their knowledge after the implementation (+9 percentage-points). Other indicators were not modified by the intervention. CONCLUSION: A single interactive intervention improved both nurses' and physicians' knowledge on delirium. Sustained and repeated interventions are probably needed to demonstrate changes in clinical practice.