Counterfactuals and causal inference: Methods and principles for social research

"Most quantitative empirical analyses are motivated by the desire to estimate the causal effect of an independent variable on a dependent variable. Although the randomized experiment is the most powerful design for this task, in most social science research done outside of psychology, experimental designs are infeasible. (Winship & Morgan, 1999, p. 659)." This quote from earlier work by Winship and Morgan, which was instrumental in setting the groundwork for their book, captures the essence of our review of Morgan and Winship's book: It is about causality in nonexperimental settings.

Choosing among techniques for quantifying single-case intervention effectiveness

If single case experimental designs are to be used to establish guidelines for evidence-based interventions in clinical and educational settings, numerical values that reflect treatment effect sizes are required. The present study compares four recently developed procedures for quantifying the magnitude of intervention effect using data with known characteristics. Monte Carlo methods were used to generate AB designs data with potential confounding variables (serial dependence, linear and curvilinear trend, and heteroscedasticity between phases) and two types of treatment effect (level and slope change). The results suggest that data features are important for choosing the appropriate procedure and, thus, inspecting the graphed data visually is a necessary initial stage. In the presence of serial dependence or a change in data variability, the Nonoverlap of All Pairs (NAP) and the Slope and Level Change (SLC) were the only techniques of the four examined that performed adequately. Introducing a data correction step in NAP renders it unaffected by linear trend, as is also the case for the Percentage of Nonoverlapping Corrected Data and SLC. The performance of these techniques indicates that professionals" judgments concerning treatment effectiveness can be readily complemented by both visual and statistical analyses. A flowchart to guide selection of techniques according to the data characteristics identified by visual inspection is provided.

Tire traces: discrimination and classification of pyrolysis-GC/MS profiles

Tire traces can be observed on several crime scenes as vehicles are often used by criminals. The tread abrasion on the road, while braking or skidding, leads to the production of small rubber particles which can be collected for comparison purposes. This research focused on the statistical comparison of Py-GC/MS profiles of tire traces and tire treads. The optimisation of the analytical method was carried out using experimental designs. The aim was to determine the best pyrolysis parameters regarding the repeatability of the results. Thus, the pyrolysis factor effect could also be calculated. The pyrolysis temperature was found to be five time more important than time. Finally, a pyrolysis at 650 °C during 15 s was selected. Ten tires of different manufacturers and models were used for this study. Several samples were collected on each tire, and several replicates were carried out to study the variability within each tire (intravariability). More than eighty compounds were integrated for each analysis and the variability study showed that more than 75% presented a relative standard deviation (RSD) below 5% for the ten tires, thus supporting a low intravariability. The variability between the ten tires (intervariability) presented higher values and the ten most variant compounds had a RSD value above 13%, supporting their high potential of discrimination between the tires tested. Principal Component Analysis (PCA) was able to fully discriminate the ten tires with the help of the first three principal components. The ten tires were finally used to perform braking tests on a racetrack with a vehicle equipped with an anti-lock braking system. The resulting tire traces were adequately collected using sheets of white gelatine. As for tires, the intravariability for the traces was found to be lower than the intervariability. Clustering methods were carried out and the Ward's method based on the squared Euclidean distance was able to correctly group all of the tire traces replicates in the same cluster than the replicates of their corresponding tire. Blind tests on traces were performed and were correctly assigned to their tire source. These results support the hypothesis that the tested tires, of different manufacturers and models, can be discriminated by a statistical comparison of their chemical profiles. The traces were found to be not differentiable from their source but differentiable from all the other tires present in the subset. The results are promising and will be extended on a larger sample set.

Genetic parameters for drought-tolerance in cassava

The objective of this work was to evaluate the effect of drought on genetic parameters and breeding values of cassava. The experiments were carried out in a completely randomized block design with three replicates, under field conditions with (WD) or without (FI) water deficit. Yield of storage roots (RoY), shoot (ShY), and starch (StY), as well as the number of roots (NR), and root dry matter content (DMC) were evaluated in 47 cassava accessions. Significant differences were observed among accessions; according to heritability, these differences had mostly a genetic nature. Heritability estimates for genotypic effects () ranged from 0.25±0.12 (NR) to 0.60±0.18 (DMC), and from 0.51±0.17 (NR) to 0.80±0.21 (RoY and StY) for WD and FI, respectively, as a consequence of greater environmental influence on WD. Selective accuracy was lower in WD, and ranged from 0.71 (NR) to 0.89 (RoY, DMC, and StY). However, genetic gains were quite high and ranged from 24.43% (DMC) to 113.41% (StY), in WD, and from 8.5% (DMC) to 75.70% (StY) in FI. These genetic parameters may be useful for defining which selection strategies, breeding methods, and experimental designs are more suitable to obtain cassava genetic gains for tolerance to drought.

The genomics of micronutrient requirements.

Healthy nutrition is accepted as a cornerstone of public health strategies for reducing the risk of noncommunicable conditions such as obesity, cardiovascular disease, and related morbidities. However, many research studies continue to focus on single or at most a few factors that may elicit a metabolic effect. These reductionist approaches resulted in: (1) exaggerated claims for nutrition as a cure or prevention of disease; (2) the wide use of empirically based dietary regimens, as if one fits all; and (3) frequent disappointment of consumers, patients, and healthcare providers about the real impact nutrition can make on medicine and health. Multiple factors including environment, host and microbiome genetics, social context, the chemical form of the nutrient, its (bio)availability, and chemical and metabolic interactions among nutrients all interact to result in nutrient requirement and in health outcomes. Advances in laboratory methodologies, especially in analytical and separation techniques, are making the chemical dissection of foods and their availability in physiological tissues possible in an unprecedented manner. These omics technologies have opened opportunities for extending knowledge of micronutrients and of their metabolic and endocrine roles. While these technologies are crucial, more holistic approaches to the analysis of physiology and environment, novel experimental designs, and more sophisticated computational methods are needed to advance our understanding of how nutrition influences health of individuals.

Quimiometria II: planilhas eletrônicas para cálculos de planejamentos experimentais, um tutorial

This work describes, through examples, a simple way to carry out experimental design calculations applying an spreadsheets. The aim of this tutorial is to introduce an alternative to sophisticated commercial programs that normally are too complex in data input and output. An overview of the principal methods is also briefly presented. The spreadsheets are suitable to handle different types of computations such as screening procedures applying factorial design and the optimization procedure based on response surface methodology. Furthermore, the spreadsheets are sufficiently versatile to be adapted to specific experimental designs.

Estudo da degradação fotocatalítica de dimetil dissulfeto: avaliação estatistica do efeito do pH da temperatura e concentração do contaminante orgânico

This work aimed to assess the photocatalytic degradation of a model odor compound (dimethyl disulfide, DMDS), found in liquid and gaseous wastes of plants for processing poultry byproducts. The effect of pH and temperature on adsorption and photocatalytic degradation was evaluated through factorial experimental designs. The results suggest the presence of an optimum region for adsorption, at 45.0 ºC and pH 4.0. In the photocatalytic runs an optimum for temperature and pH was also observed. At 45 ºC and pH 4.0 the removal of DMDS was 99% after 60 min of irradiation.

Software for design of experiments and response modelling of cake ltration applications

Filtration is a widely used unit operation in chemical engineering. The huge variation in the properties of materials to be ltered makes the study of ltration a challenging task. One of the objectives of this thesis was to show that conventional ltration theories are di cult to use when the system to be modelled contains all of the stages and features that are present in a complete solid/liquid separation process. Furthermore, most of the ltration theories require experimental work to be performed in order to obtain critical parameters required by the theoretical models. Creating a good overall understanding of how the variables a ect the nal product in ltration is somewhat impossible on a purely theoretical basis. The complexity of solid/liquid separation processes require experimental work and when tests are needed, it is advisable to use experimental design techniques so that the goals can be achieved. The statistical design of experiments provides the necessary tools for recognising the e ects of variables. It also helps to perform experimental work more economically. Design of experiments is a prerequisite for creating empirical models that can describe how the measured response is related to the changes in the values of the variable. A software package was developed that provides a ltration practitioner with experimental designs and calculates the parameters for linear regression models, along with the graphical representation of the responses. The developed software consists of two software modules. These modules are LTDoE and LTRead. The LTDoE module is used to create experimental designs for di erent lter types. The lter types considered in the software are automatic vertical pressure lter, double-sided vertical pressure lter, horizontal membrane lter press, vacuum belt lter and ceramic capillary action disc lter. It is also possible to create experimental designs for those cases where the variables are totally user de ned, say for a customized ltration cycle or di erent piece of equipment. The LTRead-module is used to read the experimental data gathered from the experiments, to analyse the data and to create models for each of the measured responses. Introducing the structure of the software more in detail and showing some of the practical applications is the main part of this thesis. This approach to the study of cake ltration processes, as presented in this thesis, has been shown to have good practical value when making ltration tests.

Software for design of experiments and response modelling of cake filtration applications

Filtration is a widely used unit operation in chemical engineering. The huge variation in the properties of materials to be ltered makes the study of ltration a challenging task. One of the objectives of this thesis was to show that conventional ltration theories are di cult to use when the system to be modelled contains all of the stages and features that are present in a complete solid/liquid separation process. Furthermore, most of the ltration theories require experimental work to be performed in order to obtain critical parameters required by the theoretical models. Creating a good overall understanding of how the variables a ect the nal product in ltration is somewhat impossible on a purely theoretical basis. The complexity of solid/liquid separation processes require experimental work and when tests are needed, it is advisable to use experimental design techniques so that the goals can be achieved. The statistical design of experiments provides the necessary tools for recognising the e ects of variables. It also helps to perform experimental work more economically. Design of experiments is a prerequisite for creating empirical models that can describe how the measured response is related to the changes in the values of the variable. A software package was developed that provides a ltration practitioner with experimental designs and calculates the parameters for linear regression models, along with the graphical representation of the responses. The developed software consists of two software modules. These modules are LTDoE and LTRead. The LTDoE module is used to create experimental designs for di erent lter types. The lter types considered in the software are automatic vertical pressure lter, double-sided vertical pressure lter, horizontal membrane lter press, vacuum belt lter and ceramic capillary action disc lter. It is also possible to create experimental designs for those cases where the variables are totally user de ned, say for a customized ltration cycle or di erent piece of equipment. The LTRead-module is used to read the experimental data gathered from the experiments, to analyse the data and to create models for each of the measured responses. Introducing the structure of the software more in detail and showing some of the practical applications is the main part of this thesis. This approach to the study of cake ltration processes, as presented in this thesis, has been shown to have good practical value when making ltration tests.

Vaahtoamisen estäminen vesiohenteisissa sisäseinämaaleissa

Maalit ovat hyvin komplekseja seoksia, jotka sisältävät erilaisia pinta-aktiivisia aineita. Erilaisia pinta-aktiivisia apuaineita käytetään varsinkin vesiohenteisissa maaleissa veden korkean pintajännityksen takia. Nämä maalin komponentit saat-tavat kuitenkin aiheuttaa maaliin vaahtoamisongelmia. Maalien vaahtoaminen aiheuttaa esimerkiksi erilaisia pintavikoja maalikalvossa ja epäotpimaalista tuo-tantosäiliöiden ja pakkausten täyttöä. Joissain tapauksissa myös maalin funktio-naalisuus saattaa häiriintyä. Maalien vaahtoamista pyritään vähentämään pääasiassa vaahdonestäjiksi kutsu-tuilla apuaineilla. Tärkeimmät vesipohjaisissa maaleissa käytettävät vaahdonestäjät ovat mineraaliöljyjä sekä silikonipohjaisia vaahdonestäjiä. Tässä työssä tutkitaan kolmen eri vesiohenteisen sisäseinämaalin vaahtoamista ja mahdollisia keinoja vähentää sitä. Laboratoriossa kokeillaan nykyisten vaahdonestäjien tilalle mahdollisia korvaavia apuaineita. Lisäksi kullekin maalille luodaan koesuunni-telma, jonka mukaan toteutetaan tehtaalla sarja koeajoja, joilla pyritään löytämään sopiva vaahdonestäjän annostus sekä lisäystapa kullekin maalille, siten että maalien vaahtoaminen vähenee. Laboratoriokokeiden perusteella korvaavaa vaahdonestäjää nykyisten tilalle ei löydetty. Valmistusprosessin yhteydessä sen sijaan havaittiin, että vaahdonestäjän lisäystapaa muuttamalla voisi olla mahdollista vähentää maalien vaahtoamista merkittävästi lisäämättä käytettävää vaahdonestäjän annostusta.

Finnish doctoral dissertations of nursing education research

Nursing education research has confirmed its place in the discipline of nursing and caring sciences being one of the most central research areas. However, extensive and systematic analysis of nursing education research has been lacking both nationally and internationally. The aim of this study was to describe the focus of nursing education research in Finnish doctoral dissertations in the field of nursing and caring sciences between the years 1990–2014. In addition, the characteristics (i.e. methods, study informants and reporting of validity, reliability, and research ethics) of the dissertations were described. Also, international reviews (N=39) focusing on nursing education research were analysed for a background literature. A literature review was carried out. Altogether 51 (=N) Finnish doctoral dissertations of nursing and caring sciences in the field of nursing education research were included in the final analysis. The data for this research was collected from the open publication lists of each university offering education in nursing and caring sciences in Finland. The dissertations were published in 1990–2014. The data were analysed by content analysis both deductively and inductively. This study consists of a scientific article manuscript and a background literature review. Nursing education research has focused both nationally and internationally on four main areas: structural factors in nursing education, nurse teacherhood, teaching activities, and learning and learning outcomes in nursing education. In Finland, the most central focus area was learning (84.3 %) whereas nurse teacherhood and structural factors in nursing education were studied the least. Students were the predominant study informant group while nurse staff including nurse mentors were next and nurse educators only the third. Surveys and interviews were the most common data collection methods. In the findings there were a lot of similarities with international reviews of nursing education research. Finnish nursing education research has been very student-centred yet studies focusing on the education of other nursing based professions or different levels of education are rare. Future research about nurse teacherhood, curricula and structural factors in nursing education is recommended. There is also a need for experimental designs. In addition, nursing education research should focus on the central phenomena of nursing education and working life. All in all, more nursing education research is needed. Nursing education dissertations cover only 12.3 % of all the dissertations of nursing and caring sciences in Finland.

University students’ regulation of learning and text processing – examples from medical and teacher education

The general aim of the thesis was to study university students’ learning from the perspective of regulation of learning and text processing. The data were collected from the two academic disciplines of medical and teacher education, which share the features of highly scheduled study, a multidisciplinary character, a complex relationship between theory and practice and a professional nature. Contemporary information society poses new challenges for learning, as it is not possible to learn all the information needed in a profession during a study programme. Therefore, it is increasingly important to learn how to think and learn independently, how to recognise gaps in and update one’s knowledge and how to deal with the huge amount of constantly changing information. In other words, it is critical to regulate one’s learning and to process text effectively. The thesis comprises five sub-studies that employed cross-sectional, longitudinal and experimental designs and multiple methods, from surveys to eye tracking. Study I examined the connections between students’ study orientations and the ways they regulate their learning. In total, 410 second-, fourth- and sixth-year medical students from two Finnish medical schools participated in the study by completing a questionnaire measuring both general study orientations and regulation strategies. The students were generally deeply oriented towards their studies. However, they regulated their studying externally. Several interesting and theoretically reasonable connections between the variables were found. For instance, self-regulation was positively correlated with deep orientation and achievement orientation and was negatively correlated with non-commitment. However, external regulation was likewise positively correlated with deep orientation and achievement orientation but also with surface orientation and systematic orientation. It is argued that external regulation might function as an effective coping strategy in the cognitively loaded medical curriculum. Study II focused on medical students’ regulation of learning and their conceptions of the learning environment in an innovative medical course where traditional lectures were combined wth problem-based learning (PBL) group work. First-year medical and dental students (N = 153) completed a questionnaire assessing their regulation strategies of learning and views about the PBL group work. The results indicated that external regulation and self-regulation of the learning content were the most typical regulation strategies among the participants. In line with previous studies, self-regulation wasconnected with study success. Strictly organised PBL sessions were not considered as useful as lectures, although the students’ views of the teacher/tutor and the group were mainly positive. Therefore, developers of teaching methods are challenged to think of new solutions that facilitate reflection of one’s learning and that improve the development of self-regulation. In Study III, a person-centred approach to studying regulation strategies was employed, in contrast to the traditional variable-centred approach used in Study I and Study II. The aim of Study III was to identify different regulation strategy profiles among medical students (N = 162) across time and to examine to what extent these profiles predict study success in preclinical studies. Four regulation strategy profiles were identified, and connections with study success were found. Students with the lowest self-regulation and with an increasing lack of regulation performed worse than the other groups. As the person-centred approach enables us to individualise students with diverse regulation patterns, it could be used in supporting student learning and in facilitating the early diagnosis of learning difficulties. In Study IV, 91 student teachers participated in a pre-test/post-test design where they answered open-ended questions about a complex science concept both before and after reading either a traditional, expository science text or a refutational text that prompted the reader to change his/her beliefs according to scientific beliefs about the phenomenon. The student teachers completed a questionnaire concerning their regulation and processing strategies. The results showed that the students’ understanding improved after text reading intervention and that refutational text promoted understanding better than the traditional text. Additionally, regulation and processing strategies were found to be connected with understanding the science phenomenon. A weak trend showed that weaker learners would benefit more from the refutational text. It seems that learners with effective learning strategies are able to pick out the relevant content regardless of the text type, whereas weaker learners might benefit from refutational parts that contrast the most typical misconceptions with scientific views. The purpose of Study V was to use eye tracking to determine how third-year medical studets (n = 39) and internal medicine residents (n = 13) read and solve patient case texts. The results revealed differences between medical students and residents in processing patient case texts; compared to the students, the residents were more accurate in their diagnoses and processed the texts significantly faster and with a lower number of fixations. Different reading patterns were also found. The observed differences between medical students and residents in processing patient case texts could be used in medical education to model expert reasoning and to teach how a good medical text should be constructed. The main findings of the thesis indicate that even among very selected student populations, such as high-achieving medical students or student teachers, there seems to be a lot of variation in regulation strategies of learning and text processing. As these learning strategies are related to successful studying, students enter educational programmes with rather different chances of managing and achieving success. Further, the ways of engaging in learning seldom centre on a single strategy or approach; rather, students seem to combine several strategies to a certain degree. Sometimes, it can be a matter of perspective of which way of learning can be considered best; therefore, the reality of studying in higher education is often more complicated than the simplistic view of self-regulation as a good quality and external regulation as a harmful quality. The beginning of university studies may be stressful for many, as the gap between high school and university studies is huge and those strategies that were adequate during high school might not work as well in higher education. Therefore, it is important to map students’ learning strategies and to encourage them to engage in using high-quality learning strategies from the beginning. Instead of separate courses on learning skills, the integration of these skills into course contents should be considered. Furthermore, learning complex scientific phenomena could be facilitated by paying attention to high-quality learning materials and texts and other support from the learning environment also in the university. Eye tracking seems to have great potential in evaluating performance and growing diagnostic expertise in text processing, although more research using texts as stimulus is needed. Both medical and teacher education programmes and the professions themselves are challenging in terms of their multidisciplinary nature and increasing amounts of information and therefore require good lifelong learning skills during the study period and later in work life.

Evaluation of the Efficiency of Line-Start Permanent-Magnet Machines as a Function of the Operating Temperature

The standard squirrel-cage induction machine has nearly reached its maximum efficiency. In order to further increase the energy efficiency of electrical machines, the use of permanent magnets in combination with the robust design and the line start capability of the induction machine is extensively investigated. Many experimental designs have been suggested in literature, but recently, these line-start permanent-magnet machines (LSPMMs) have become off-the-shelf products available in a power range up to 7.5 kW. The permanent magnet flux density is a function of the operating temperature. Consequently, the temperature will affect almost every electrical quantity of the machine, including current, torque, and efficiency. In this paper, the efficiency of an off-the-shelf 4-kW three-phase LSPMM is evaluated as a function of the temperature by both finite-element modeling and by practical measurements. In order to obtain stator, rotor, and permanent magnet temperatures, lumped thermal modeling is used.

Ontogénèse et spécificité de la voix humaine

La voix est un stimulus auditif omniprésent dans notre environnement sonore. Elle permet non seulement la parole, mais serait aussi l’équivalent d’un visage auditif transmettant notamment des informations identitaires et affectives importantes. Notre capacité à discriminer et reconnaître des voix est socialement et biologiquement importante et elle figure parmi les fonctions les plus importantes du système auditif humain. La présente thèse s’intéressait à l’ontogénèse et à la spécificité de la réponse corticale à la voix humaine et avait pour but trois objectifs : (1) mettre sur pied un protocole électrophysiologique permettant de mesurer objectivement le traitement de la familiarité de la voix chez le sujet adulte; (2) déterminer si ce même protocole pouvait aussi objectiver chez le nouveau-né de 24 heures un traitement préférentiel d’une voix familière, notamment la voix de la mère; et (3) mettre à l’épreuve la robustesse d’une mesure électrophysiologique, notamment la Fronto-Temporal Positivity to Voices, s’intéressant à la discrimination pré-attentionnelle entre des stimuli vocaux et non-vocaux. Les résultats découlant des trois études expérimentales qui composent cette thèse ont permis (1) d’identifier des composantes électrophysiologiques (Mismatch Negativity et P3a) sensibles au traitement de la familiarité d’une voix; (2) de mettre en lumière un patron d’activation corticale singulier à la voix de la mère chez le nouveau-né, fournissant le premier indice neurophysiologique de l’acquisition du langage, processus particulièrement lié à l’interaction mère-enfant; et (3) de confirmer l’aspect pré-attentionnel de la distinction entre une voix et un stimulus non-vocal tout en accentuant la sélectivité et la sensibilité de la réponse corticale réservée au traitement de la voix.

Mécanismes cellulaires de l'induction du facteur de transcription Nur77 après un traitement aux antipsychotiques

Les antipsychotiques sont utilisés en clinique depuis plus de 50 ans pour pallier aux symptômes de la schizophrénie. Malgré une recherche intensive, les mécanismes cellulaires et moléculaires responsables de l’effet clinique de cette médication demeurent encore nébuleux. Ces drogues sont reconnues comme des antagonistes des récepteurs D2 de la dopamine et peuvent moduler la transcription génique dans le striatum. Au cours des recherches qui ont mené à l'écriture de cette thèse, nous avons exploré l’expression de Nur77, un facteur de transcription de la famille des récepteurs nucléaires, afin de caractériser le rôle de la dopamine, la sérotonine, l’adénosine et le glutamate dans la régulation génique contrôlée par les antagonistes D2. En premier lieu, nous avons examiné l’impact de la co-administration d’agents sérotonergiques et adrénergiques sur l’expression de l’ARNm de Nur77 induite par l’halopéridol, un antipsychotique de première génération. Nous avons observé que le 8-OH-DPAT et le MDL11939 préviennent partiellement l’induction de Nur77 dans le striatum. Au contraire, l’idazoxan potentialise l’effet de l’halopéridol sur l’expression de Nur77 alors que le prazosin reste sans effet. Ces résultats démontrent que l’expression striatale de Nur77 induite par l’halopéridol peut être modulée à la baisse avec un agoniste 5-HT1A ou un antagoniste 5-HT2A. Par la suite, nous avons évalué dans divers paradigmes expérimentaux l’effet de l’éticlopride, un antagoniste spécifique D2, afin d’explorer davantage le mécanisme de l’effet transcriptionnel des antagonistes D2. Étonnamment, la suppression de l’isoforme D2L chez la souris D2L KO ne réduit pas la réponse de l’éticlopride dans le striatum. Par contre, une lésion corticale avec l’acide iboténique bloque l’effet de l’éticlopride sur la transcription de Nur77, suggérant un rôle du glutamate. La combinaison d’un antagoniste des récepteurs métabotropes du glutamate de types 5 (mGluR5) et d’un antagoniste des récepteurs de l’adénosine A2A abolit complètement l’augmentation de la transcription de Nur77 induit par l’éticlopride dans le striatum. La modulation directe de l’expression striatale de Nur77 par les récepteurs mGluR5 et A2A a été confirmée dans un modèle de cultures organotypiques de tranches cérébrales. Ces résultats démontrent clairement que la modulation de l’expression génique dans le striatum, à la suite d’un traitement avec un antagoniste D2 pourrait être indépendante d’une interaction directe avec les récepteurs D2 post-synaptiques, et reposerait plutôt sur son interaction avec les récepteurs D2 hétérosynaptiques des afférences corticostriées et l’activation subséquente des récepteurs post-synaptiques du glutamate et de l’adénosine. En résumé, nos résultats suggèrent que l’interaction des antipsychotiques atypiques avec les récepteurs 5-HT2A et 5-HT1A pourrait expliquer la différence dans le patron d’expression génique induit par ces drogues en comparaison avec les antipsychotiques typiques. De plus, nos résultats révèlent un nouveau mécanisme d’action des antagonistes D2 et supportent un rôle primordial du glutamate et de l’adénosine dans les effets des antipsychotiques de première génération.