Cognition and brain function in schizotypy : a selective review

Schizotypy refers to a set of personality traits thought to reflect the subclinical expression of the signs and symptoms of schizophrenia. Here, we review the cognitive and brain functional profile associated with high questionnaire scores in schizotypy. We discuss empirical evidence from the domains of perception, attention, memory, imagery and representation, language, and motor control. Perceptual deficits occur early and across various modalities. Whilst the neural mechanisms underlying visual impairments may be linked to magnocellular dysfunction, further effects may be seen downstream in higher cognitive functions. Cognitive deficits are observed in inhibitory control, selective and sustained attention, incidental learning and memory. In concordance with the cognitive nature of many of the aberrations of schizotypy, higher levels of schizotypy are associated with enhanced vividness and better performance on tasks of mental rotation. Language deficits seem most pronounced in higher-level processes. Finally, higher levels of schizotypy are associated with reduced performance on oculomotor tasks, resembling the impairments seen in schizophrenia. Some of these deficits are accompanied by reduced brain activation, akin to the pattern of hypoactivations in schizophrenia spectrum individuals. We conclude that schizotypy is a construct with apparent phenomenological overlap with schizophrenia and stable inter-individual differences that covary with performance on a wide range of perceptual, cognitive and motor tasks known to be impaired in schizophrenia. The importance of these findings lies not only in providing a fine-grained neurocognitive characterisation of a personality constellation known to be associated with real-life impairments, but also in generating hypotheses concerning the aetiology of schizophrenia.

Learning collaboration in General Internal Medicine: a pilot project for undergraduate students in nursing, physiotherapy and medicine

Background: A form of education called Interprofessional Education (IPE) occurs when two or more professions learn with, from and about each other. The purpose of IPE is to improve collaboration and the quality of care. Today, IPE is considered as a key educational approach for students in the health professions. IPE is highly effective when delivered in active patient care, such as in clinical placements. General internal medicine (GIM) is a core discipline where hospital-based clinical placements are mandatory for students in many health professions. However, few interprofessional (IP) clinical placements in GIM have been implemented. We designed such a placement. Placement design: The placement took place in the Department of Internal Medicine at the CHUV. It involved students from nursing, physiotherapy and medicine. The students were in their last year before graduation. Students formed teams consisting of one student from each profession. Each team worked in the same unit and had to take care of the same patient. The placement lasted three weeks. It included formal IP sessions, the most important being facilitated discussions or "briefings" (3x/w) during which the students discussed patient care and management. Four teams of students eventually took part in this project. Method: We performed a type of evaluation research called formative evaluation. This aimed at (1) understanding the educational experience and (2) assessing the impact of the placement on student learning. We collected quantitative data with pre-post clerkship questionnaires. We also collected qualitative data with two Focus Groups (FG) discussions at the end of the placement. The FG were audiotaped and transcribed. A thematic analysis was then performed. Results: We focused on the qualitative data, since the quantitative data lacked of statistical power due to the small numbers of students (N = 11). Five themes emerged from the FG analysis: (1) Learning of others' roles, (2) Learning collaborative competences, (3) Striking a balance between acquiring one's own professional competences and interprofessional competences, (4) Barriers to apply learnt IP competences in the future and (5) Advantages and disadvantages of IP briefings. Conclusions: Our IP clinical placement in GIM appeared to help students learn other professionals' roles and collaborative skills. Some challenges (e.g. finding the same patient for each team) were identified and will require adjustments.

Research needs in allergy: an EAACI position paper, in collaboration with EFA.

In less than half a century, allergy, originally perceived as a rare disease, has become a major public health threat, today affecting the lives of more than 60 million people in Europe, and probably close to one billion worldwide, thereby heavily impacting the budgets of public health systems. More disturbingly, its prevalence and impact are on the rise, a development that has been associated with environmental and lifestyle changes accompanying the continuous process of urbanization and globalization. Therefore, there is an urgent need to prioritize and concert research efforts in the field of allergy, in order to achieve sustainable results on prevention, diagnosis and treatment of this most prevalent chronic disease of the 21st century.The European Academy of Allergy and Clinical Immunology (EAACI) is the leading professional organization in the field of allergy, promoting excellence in clinical care, education, training and basic and translational research, all with the ultimate goal of improving the health of allergic patients. The European Federation of Allergy and Airways Diseases Patients' Associations (EFA) is a non-profit network of allergy, asthma and Chronic Obstructive Pulmonary Disorder (COPD) patients' organizations. In support of their missions, the present EAACI Position Paper, in collaboration with EFA, highlights the most important research needs in the field of allergy to serve as key recommendations for future research funding at the national and European levels.Although allergies may involve almost every organ of the body and an array of diverse external factors act as triggers, there are several common themes that need to be prioritized in research efforts. As in many other chronic diseases, effective prevention, curative treatment and accurate, rapid diagnosis represent major unmet needs. Detailed phenotyping/endotyping stands out as widely required in order to arrange or re-categorize clinical syndromes into more coherent, uniform and treatment-responsive groups. Research efforts to unveil the basic pathophysiologic pathways and mechanisms, thus leading to the comprehension and resolution of the pathophysiologic complexity of allergies will allow for the design of novel patient-oriented diagnostic and treatment protocols. Several allergic diseases require well-controlled epidemiological description and surveillance, using disease registries, pharmacoeconomic evaluation, as well as large biobanks. Additionally, there is a need for extensive studies to bring promising new biotechnological innovations, such as biological agents, vaccines of modified allergen molecules and engineered components for allergy diagnosis, closer to clinical practice. Finally, particular attention should be paid to the difficult-to-manage, precarious and costly severe disease forms and/or exacerbations. Nonetheless, currently arising treatments, mainly in the fields of immunotherapy and biologicals, hold great promise for targeted and causal management of allergic conditions. Active involvement of all stakeholders, including Patient Organizations and policy makers are necessary to achieve the aims emphasized herein.

Imaging Properties of MS Lesions Correlate with Attention Deficits in Early Multiple Sclerosis

Introduction: Cognitive impairment affects 40-65% of multiple sclerosis (MS) patients, often since early stages of the disease (relapsing remitting MS, RRMS). Frequently affected functions are memory, attention or executive abilities but the most sensitive measure of cognitive deficits in early MS is the information processing speed (Amato, 2008). MRI has been extensively exploited to investigate the substrate of cognitive dysfunction in MS but the underlying physiopathological mechanisms remain unclear. White matter lesion load, whole-brain atrophy and cortical lesions' number play a role but correlations are in some cases modest (Rovaris, 2006; Calabrese, 2009). In this study, we aimed at characterizing and correlating the T1 relaxation times of cortical and sub-cortical lesions with cognitive deficits detected by neuropsychological tests in a group of very early RR MS patients. Methods: Ten female patients with very early RRMS (age: 31.6 ±4.7y; disease duration: 3.8 ±1.9y; EDSS disability score: 1.8 ±0.4) and 10 age- and gender-matched healthy volunteers (mean age: 31.2 ±5.8y) were included in the study. All participants underwent the following neuropsychological tests: Rao's Brief Repeatable Battery of Neuropsychological tests (BRB-N), Stockings of Cambridge, Trail Making Test (TMT, part A and B), Boston Naming Test, Hooper Visual Organization Test and copy of the Rey-Osterrieth Complex Figure. Within 2 weeks from neuropsychological assessment, participants underwent brain MRI at 3T (Magnetom Trio a Tim System, Siemens, Germany) using a 32-channel head coil. The imaging protocol included 3D sequences with 1x1x1.2 mm3 resolution and 256x256x160 matrix, except for axial 2D-FLAIR: -DIR (T2-weighted, suppressing both WM and CSF; Pouwels, 2006) -MPRAGE (T1-weighted; Mugler, 1991) -MP2RAGE (T1-weighted with T1 maps; Marques, 2010) -FLAIR SPACE (only for patient 4-10, T2-weighted; Mugler, 2001) -2D Axial FLAIR (0.9x0.9x2.5 mm3, 256x256x44 matrix). Lesions were identified by one experienced neurologist and radiologist using all contrasts, manually contoured and assigned to regional locations (cortical or sub-cortical). Lesion number, volume and T1 relaxation time were calculated for lesions in each contrast and in a merged mask representing the union of the lesions from all contrasts. T1 relaxation times of lesions were normalized with the mean T1 value in corresponding control regions of the healthy subjects. Statistical analysis was performed using GraphPad InStat software. Cognitive scores were compared between patients and controls with paired t-tests; p values ≤ 0.05 were considered significant. Spearmann correlation tests were performed between the cognitive tests, which differed significantly between patients and controls, and lesions' i) number ii) volume iii) T1 relaxation time iv) disease duration and v) years of study. Results: Cortical and sub-cortical lesions count, T1 values and volume are reported in Table 1 (A and B). All early RRMS patients showed cortical lesions (CLs) and the majority consisted of CLs type I (lesions with a cortical component extending to the sub-cortical tissue). The rest of cortical lesions were characterized as type II (intra-cortical lesions). No type III/IV lesions (large sub-pial lesions) were detected. RRMS patients were slightly less educated (13.5±2.5y vs. 16.3±1.8y of study, p=0.02) than the controls. Signs of cortical dysfunction (i.e. impaired learning, language, visuo-spatial skills or gnosis) were rare in all patients. However, patients showed on average lower scores on measures of visual attention and information processing speed (TMT-part A: p=0.01; TMT-part B: p=0.006; PASAT-included in the BRB-N: p=0.04). The T1 relaxation values of CLs type I negatively correlated with the TMT-part A score (r=0.78, p<0.01). The correlations of TMT-part B score and PASAT score with T1 relaxation time of lesions as well and the correlation between TMT-part A, TMT-part B and PASAT score with lesions' i) number ii) volume iii) disease duration and iv) years of study did not reach significance. In order to preclude possible influences from partial volume effects on the T1 values, the correlation between lesion volume and T1 value of CLs type I was calculated; no correlation was found, suggesting that partial volume effects did not affect the statistics. Conclusions: The present pilot study reports for the first time the presence and the T1 characteristics at 3 T of cortical lesions in very early RRMS (< 6 y disease duration). It also shows that CLS type I represents the most frequent cortical lesion type in this cohort of RRMS patients. In addition, it reveals a negative correlation between the attentional test TMT-part A and the T1 properties of cortical lesions type I. In other words, lower attention deficits are concomitant with longer T1-relaxation time in cortical lesions. In respect to this last finding, it could be speculated that long relaxation time correspond to a certain degree of tissue loss that is enough to stimulate compensatory mechanisms. This hypothesis is in line with previous fMRI studies showing functional compensatory mechanisms to help maintaining normal or sub-normal attention performances in RR MS patients (Penner, 2003).

Implementing statistical learning methods through Bayesian networks (Part 2): bayesian evaluations for results of black toner analyses in forensic document examination

This paper presents and discusses the use of Bayesian procedures - introduced through the use of Bayesian networks in Part I of this series of papers - for 'learning' probabilities from data. The discussion will relate to a set of real data on characteristics of black toners commonly used in printing and copying devices. Particular attention is drawn to the incorporation of the proposed procedures as an integral part in probabilistic inference schemes (notably in the form of Bayesian networks) that are intended to address uncertainties related to particular propositions of interest (e.g., whether or not a sample originates from a particular source). The conceptual tenets of the proposed methodologies are presented along with aspects of their practical implementation using currently available Bayesian network software.

Time Series Input Selection using Multiple Kernel Learning

In this paper we study the relevance of multiple kernel learning (MKL) for the automatic selection of time series inputs. Recently, MKL has gained great attention in the machine learning community due to its flexibility in modelling complex patterns and performing feature selection. In general, MKL constructs the kernel as a weighted linear combination of basis kernels, exploiting different sources of information. An efficient algorithm wrapping a Support Vector Regression model for optimizing the MKL weights, named SimpleMKL, is used for the analysis. In this sense, MKL performs feature selection by discarding inputs/kernels with low or null weights. The approach proposed is tested with simulated linear and nonlinear time series (AutoRegressive, Henon and Lorenz series).

Electrical neuroimaging of memory discrimination based on single-trial multisensory learning.

Multisensory experiences influence subsequent memory performance and brain responses. Studies have thus far concentrated on semantically congruent pairings, leaving unresolved the influence of stimulus pairing and memory sub-types. Here, we paired images with unique, meaningless sounds during a continuous recognition task to determine if purely episodic, single-trial multisensory experiences can incidentally impact subsequent visual object discrimination. Psychophysics and electrical neuroimaging analyses of visual evoked potentials (VEPs) compared responses to repeated images either paired or not with a meaningless sound during initial encounters. Recognition accuracy was significantly impaired for images initially presented as multisensory pairs and could not be explained in terms of differential attention or transfer of effects from encoding to retrieval. VEP modulations occurred at 100-130ms and 270-310ms and stemmed from topographic differences indicative of network configuration changes within the brain. Distributed source estimations localized the earlier effect to regions of the right posterior temporal gyrus (STG) and the later effect to regions of the middle temporal gyrus (MTG). Responses in these regions were stronger for images previously encountered as multisensory pairs. Only the later effect correlated with performance such that greater MTG activity in response to repeated visual stimuli was linked with greater performance decrements. The present findings suggest that brain networks involved in this discrimination may critically depend on whether multisensory events facilitate or impair later visual memory performance. More generally, the data support models whereby effects of multisensory interactions persist to incidentally affect subsequent behavior as well as visual processing during its initial stages.

Absence of snapshot memory of the target view interferes with place navigation learning by rats in the water maze

Contribution of visual and nonvisual mechanisms to spatial behavior of rats in the Morris water maze was studied with a computerized infrared tracking system, which switched off the room lights when the subject entered the inner circular area of the pool with an escape platform. Naive rats trained under light-dark conditions (L-D) found the escape platform more slowly than rats trained in permanent light (L). After group members were swapped, the L-pretrained rats found under L-D conditions the same target faster and eventually approached latencies attained during L navigation. Performance of L-D-trained rats deteriorated in permanent darkness (D) but improved with continued D training. Thus L-D navigation improves gradually by procedural learning (extrapolation of the start-target azimuth into the zero-visibility zone) but remains impaired by lack of immediate visual feedback rather than by absence of the snapshot memory of the target view.

Implementing an interfaculty series of courses on interprofessional collaboration in prelicensure health science curriculums.

Introduction: Interprofessional collaborative practices are increasingly recognized as an effective way to deal with complex health problems. However, health sciences students continue to be trained in specialized programs and have little occasion for learning in interdisciplinary contexts. Program Development: The project's purpose was to develop content and an educational design for new prelicensure interfaculty courses on interprofessional collaboration in patient and family-centered care which embedded interprofessional education principles where participants learn with, from and about each other. Implementation: Intensive training was part of a 45-hour program, offered each semester, which was divided into three 15-hour courses given on weekends, to enhance accessibility. Evaluation: A total of 215 students completed questionnaires following the courses, to assess their satisfaction with the educational content. Pre/post measures assessed perception of skills acquisition and perceived benefits of interprofessional collaboration training. Results showed a significant increase from the students' point of view in the knowledge and benefits to be gained from interprofessional collaboration training.

Etude de l'activation et de l'inactivation pH-dépendantes des canaux ASICs (Acide-Sensing Ion Channels)

RESUME: Etude de l'activation et de l'inactivation pH-dépendantes des canaux ASICs (Acid-Sensing Ion Channels) Benoîte BARGETON, Département de Pharmacologie et de Toxicologie, Université de Lausanne, rue du Bugnon 27, CH-1005 Lausanne, Suisse Les canaux sodiques ASICs (Acid-Sensing Ion Channels) participent à la signalisation neuronale dans les systèmes nerveux périphérique et central. Ces canaux non voltage dépendants sont impliqués dans l'apprentissage, l'expression de la peur, la neurodégénération consécutive à une attaque cérébrale et la douleur. Les bases moléculaires sous-tendant leur activité ne sont pas encore totalement comprises. Ces canaux sont activés par une acidification du milieu extracellulaire et régulés, entre autres, par des ions tels que le Ca2+, le Zn2+ et le CI". La cristallisation de ASIC inactivé a été publiée. Le canal est un trimére de sous-unités identiques ou homologues. Chaque sous-unité a été décrite en analogie à un avant bras, un poignet et une main constituée d'un pouce, d'un doigt, d'une articulation, une boule β et une paume. Nous avons appliqué une approche bioinformatique systématique pour identifier les pH senseurs putatifs de ASICIa. Le rôle des pH senseurs putatifs a été testé par mutagénèse dirigée et des modifications chimiques combinées à une analyse fonctionnelle afin de comprendre comment les variations de ρ H ouvrent ces canaux. Les pH senseurs sont des acides aspartiques et glutamiques éparpillés sur la boucle extracellulaire suggérant que les changements de pH contrôlent l'activation et l'inactivation de ASIC en (dé)protonant ces résidus en divers endroits de la protéine. Par exemple lors de l'activation, la protonation des résidus à l'interface entre le pouce, la boule β et le doigt d'une même sous-unité induit un mouvement du pouce vers la bouie β et le doigt. De même lors de l'inactivation du canal les paumes des trois sous-unités formant une cavité se rapprochent. D'après notre approche bioinformatique, aucune histidine n'est impliquée dans la détection des variations de pH extracellulaire c'est-à-dire qu'aucune histidine ne serait un pH-senseur. Deux histidines de ASIC2a lient le Zn2+ et modifient l'affinité apparente du canal pour les protons. Une seule des deux est conservée parmi tous les ASICs, hASICIa H163. Elle forme un réseau de liaison hydrogène avec ses voisins conservés. L'étude détaillée de ce domaine, Pinterzone, montre son importance dans l'expression fonctionnelle des canaux. La perturbation de ce réseau par l'introduction d'un résidu hydrophobe (cystéine) par mutagénèse dirigée diminue l'expression du canal à la membrane plasmique. La modification des cystéines introduites par des réactifs spécifiques aux groupements sulfhydryle inhibe les canaux mutés en diminuant leur probabilité d'ouverture. Ces travaux décrivent les effets de l'acidification du milieu extracellulaire sur les canaux ASICs. ABSTRACT: Study of pH-dependent activation and inactivation of ASIC channels Benoîte BARGETON, Department of Pharmacology and Toxicology, University of Lausanne, Rue du Bugnon 27, CH-1G05 Lausanne, Switzerland The ASIC (Acid-Sensing Ion Channels) sodium channels are involved in neuronal signaling in the central and peripheral nervous system. These non-voltage-gated channels are involved in learning, the expression of fear, neurodegeneration after ischemia and pain sensation. The molecular bases underlying their activity are not yet fully understood. ASICs are activated by extracellular acidification and regulated, eg by ions such as Ca2+, the Zn2+ and CI". The crystallization of inactivated ASIC has been published. The channel is a trimer of identical or homologous subunits. Each subunit has been described in analogy to a forearm, wrist and hand consisting of a thumb, a finger, a knuckle, a β-ball and a palm. We applied a systematic computational approach to identify putative pH sensor(s) of ASICIa. The role of putative pH sensors has been tested by site-directed mutagenesis and chemical modification combined with functional analysis in order to understand how changes in pH open these channels. The pH sensors are aspartic and glutamic acids distributed throughout the extracellular loop, suggesting that changes in pH control activation and inactivation of ASIC by protonation / deprotonation of many residues in different parts of the protein. During activation the protonation of various residues at the interface between the finger, the thumb and the β-ball induces the movement of the thumb toward the finger and the β-ball. During inactivation of the channel the palms of the three subunits forming a cavity approach each other. No histidine has been shown to be involved in extracellular pH changes detection, i.e. no histidine is a pH- sensor. Two histidines of ASIC2 bind Zn2+ and alter the apparent affinity of channel for protons. Only one of the two His is conserved among all ASICs, hASICIa H163. This residue is part of a network of hydrogen bonding with its conserved neighbors. The detailed study of this area, the interzone, shows its importance in the functional expression of ASICs. Disturbance of this network by the introduction of hydrophobic residues decreases the cell surface channel expression. Chemical modification of the introduced cysteines by thiol reactive compounds inhibits the mutated channels by a reduction of their open probability. These studies describe the effects of extracellular acidification on ASICs. RESUME GRAND PUBLIC: Etude de l'activation et de l'inactivation pH-dépendantes des canaux ASICs (Acid-Sensing Ion Channels) Benoîte BARGETON, Département de Pharmacologie et de Toxicologie, Université de Lausanne, rue du Bugnon 27, CH-1005 Lausanne, Suisse La transmission synaptique est un processus chimique entre deux neurones impliquant des neurotransmetteurs et leurs récepteurs. Un dysfonctionnement de certains types de synapses est à l'origine de beaucoup de troubles nerveux, tels que certaine forme d'épilepsie et de l'attention. Les récepteurs des neurotransmetteurs sont de très bonnes cibles thérapeutiques dans de nombreuses neuropathologies. Les canaux ASICs sont impliqués dans la neurodégénération consécutive à une attaque cérébrale et les bloquer pourraient permettre aux patients d'avoir moins de séquelles. Les canaux ASICs sont des détecteurs de l'acidité qui apparaît lors de situations pathologiques comme l'ischémie et l'inflammation. Ces canaux sont également impliqués dans des douleurs. Cibler spécifiquement ces canaux permettrait d'avoir de nouveaux outils thérapeutiques car à l'heure actuelle l'inhibiteur de choix, l'amiloride, bloque beaucoup d'autres canaux empêchant son utilisation pour bloquer les ASICs. C'est pourquoi il faut connaître et comprendre les bases moléculaires du fonctionnement de ces récepteurs. Les ASICs formés de trois sous-unités détectent les variations de l'acidité puis s'ouvrent transitoirement pour laisser entrer des ions chargés positivement dans la cellule ce qui active la signalisation neuronale. Afin de comprendre les bases moléculaires de l'activité des ASICs nous avons déterminé les sites de liaison des protons (pH-senseurs), ligands naturels des ASICs et décrit une zone importante pour l'expression fonctionnelle de ces canaux. Grâce à une validation systématique de résultats obtenus en collaboration avec l'Institut Suisse de Bioinformatique, nous avons décrit les pH-senseurs de ASICIa. Ces résultats, combinés à ceux d'autres groupes de recherche, nous ont permis de mieux comprendre comment les ASICs sont ouverts par une acidification du milieu extracellulaire. Une seconde étude souligne le rôle structural crucial d'une région conservée parmi tous les canaux ASICs : y toucher c'est diminuer l'activité de la protéine. Ce domaine permet l'harmonisation des changements dus à l'acidification du milieu extracellulaire au sein d'une même sous-unité c'est-à-dire qu'elle participe à l'induction de l'inactivation due à l'activation du canal Cette étude décrit donc quelle région de la protéine atteindre pour la bloquer efficacement en faisant une cible thérapeutique de choix.

Analysis, modelling and classification of geospatial data using machine learning

The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.

Se former à l'entretien motivationnel pour aider ses patients à changer: Les étudiants en médecine le confirment [Learning motivational interviewing to help patients change their health-related behaviors: medical students confirm it].

At the Lausanne University, 5th year medical students were trained in Motivational interviewing (MI). Eight hours of training improved their competence in the use of this approach. This experience supports the implementation of MI training in medical schools. Motivational interviewing allows the health professional to actively involve the patient in this behavior change process (drinking, smoking, diet, exercise, medication adherence, etc.), by encouraging reflection and reinforcing personal motivation and resources.