No description available.

No description available.

Yes / Posed facial expressions of actors have often been used as stimuli to induce mental state inferences, in order to investigate 'Theory of Mind' processes. However, such stimuli make it difficult to determine whether perceivers are using a basic or more elaborated mentalizing strategy. The current study used as stimuli covert recordings of target individuals who viewed various emotional expressions, which caused them to spontaneously mimic these expressions. Perceivers subsequently judged these subtle emotional expressions of the targets: in one condition ('classification') participants were instructed to classify the target's expression (i.e. match it to a sample) and in another condition ('retrodicting') participants were instructed to retrodict (i.e. infer which emotional expression the target was viewing). When instructed to classify, participants showed more prevalent activations in event-related brain potentials (ERPs) at earlier and mid-latency ERP components N170, P200 and P300-600. By contrast, when instructed to retrodict participants showed enhanced late frontal and fronto-temporal ERPs (N800-1000), with more sustained activity over the right than the left hemisphere. These findings reveal different cortical processes involved when retrodicting about a facial expression compared to merely classifying it, despite comparable performance on the behavioral task. / Experimental Psychology Society (EPS) Study Visit Grant; Young Researcher Support Grant DRM/2014-02; Deutsche Forschungsgemeinschaft (SCHN 1481/2-1); Deutsche Forschungsgemeinschaft (FOR 1097)

Event-related collections, including both tweets and webpages, have valuable information, and are worth exploring in interdisciplinary research and education. Unfortunately, such data is noisy, so this variety of information has not been adequately exploited. Further, for better understanding, more knowledge hidden behind events needs to be unearthed. Regarding these collections, different societies may have different requirements in particular scenarios. Some may need relatively clean datasets for data exploration and data mining. Social researchers require preprocessing of information, so they can conduct analyses. General societies are interested in the overall descriptions of events. However, few systems, tools, or methods exist to support the flexible use of event-related collections. In this research, we propose a new, integrated system to process and analyze event-related collections at different levels (i.e., data, information, and knowledge). It also provides various services and covers the most important stages in a system pipeline, including collection development, curation, analysis, integration, and visualization. Firstly, we propose a query likelihood model with pre-query design and post-query expansion to rank a webpage corpus by query generation probability, and retrieve relevant webpages from event-related tweet collections. We further preserve webpage data into WARC files and enrich original tweets with webpages in JSON format. As an application of data management, we conduct an empirical study of the embedded URLs in tweets based on collection development and data curation techniques. Secondly, we develop TwiRole, an integrated model for 3-way user classification on Twitter, which detects brand-related, female-related, and male-related tweeters through multiple features with both machine learning (i.e., random forest classifier) and deep learning (i.e., an 18-layer ResNet) techniques. As guidance to user-centered social research at the information level, we combine TwiRole with a pre-trained recurrent neural network-based emotion detection model, and carry out tweeting pattern analyses on disaster-related collections. Finally, we propose a tweet-guided multi-document summarization (TMDS) model, which generates summaries of the event-related collections by using tweets associated with those events. The TMDS model also considers three aspects of named entities (i.e., importance, relatedness, and diversity) as well as topics, to score sentences in webpages, and then rank selected relevant sentences in proper order for summarization. The entire system is realized using many technologies, such as collection development, natural language processing, machine learning, and deep learning. For each part, comprehensive evaluations are carried out, that confirm the effectiveness and accuracy of our proposed approaches. Regarding broader impact, the outcomes proposed in our study can be easily adopted or extended for further event analyses and service development. / Doctor of Philosophy / Event-related collections, including both tweets and webpages, have valuable information. They are worth exploring in interdisciplinary research and education. Unfortunately, such data is noisy. Many tweets and webpages are not relevant to the events. This leads to difficulties during data analysis of the datasets, as well as explanation of the results. Further, for better understanding, more knowledge hidden behind events needs to be unearthed. Regarding these collections, different groups of people may have different requirements. Some may need relatively clean datasets for data exploration. Some require preprocessing of information, so they can conduct analyses, e.g., based on tweeter type or content topic. General societies are interested in the overall descriptions of events. However, few systems, tools, or methods exist to support the flexible use of event-related collections. Accordingly, we describe our new framework and integrated system to process and analyze event-related collections. It provides varied services and covers the most important stages in a system pipeline. It has sub-systems to clean, manage, analyze, integrate, and visualize event-related collections. It takes an event-related tweet collection as input and generates an event-related webpage corpus by leveraging Wikipedia and the URLs embedded in tweets. It also combines and enriches original tweets with webpages. As an application of data management, we conduct an empirical study of tweets and their embedded URLs. We developed TwiRole for 3-way user classification on Twitter. It detects brand-related, female-related, and male-related tweeters through their profiles, tweets, and images. To aid user-centered social research, we combine TwiRole with an existing emotion detection tool, and carry out tweeting pattern analyses on disaster-related collections. Finally, we propose a tweet-guided multi-document summarization (TMDS) model and service, which generates summaries of the event-related collections by using tweets associated with those events. It extracts important sentences across different topics from webpages, and organizes them in proper order. The entire system is realized using many technologies, such as collection development, natural language processing, machine learning, and deep learning. For each part, comprehensive evaluations help confirm the effectiveness and accuracy of our proposed approaches. Regarding broader impact, our methods and system can be easily adopted or extended for further event analyses and service development.

Les traitements pharmacologiques symptomatiques de la maladie d’Alzheimer (MA) actuellement commercialisés ont un effet modeste sur le fonctionnement cognitif. De plus, le développement clinique de nouveaux composés plus efficaces est freiné par l’absence de critères prédictifs pour juger précocement de leur efficacité clinique.Dans ce contexte, l’électroencéphalographie (EEG) pourrait constituer un bio-marqueur suffisamment sensible pour identifier précocement (Phase I) le potentiel thérapeutique d’une nouvelle molécule sur le fonctionnement cognitif. De plus, la difficulté pour détecter des améliorations subtiles dans les performances cognitives en Phase I (i.e. chez des sujets sains) pourrait être palliée par le développement de paradigmes expérimentaux, tels que la privation de sommeil (PS), visant à induire des déficits cognitifs réversibles chez le sujet sain.Ainsi, l’EEG et l’EEG couplée à la privation de sommeil (PS) seraient des stratégies innovantes et pertinentes pour juger et prédire l’efficacité clinique d’une molécule en Phase I.Dans ce travail, nous tentons de juger de la pertinence de telles stratégies en identifiant, chez des sujets sains, des marqueurs EEG du fonctionnement cognitif liés soit (1) à la prise d’un médicament ayant un effet sur la cognition, (2) soit à l’induction d’un déclin cognitif réversible, (3) soit à l’effet concomitant des deux paramètres. Pour y parvenir, deux études ont été réalisées.Dans une première étude, l’effet du donepezil sur l’activité électrique corticale a été étudié chez 30 volontaires adultes, jeunes et sains. Ces volontaires ont été traités par donepezil (5 mg/jour per os) (vs. placebo) pendant 15 jours suivant une procédure en double aveugle, randomisée et en cross-over. _x000D_A la fin de la période de traitement, un EEG (58 voies) a été réalisé au cours de deux tâches attentionnelles (auditive et visuelle). Les potentiels évoqués cognitifs (PEC), la cohérence de phase inter-essais (ITC) et la perturbation spectrale liée à l’événement (ERSP) ont ensuite été calculés.Dans une deuxième étude, l’effet d’une PS a été étudié chez 36 volontaires adultes, jeunes et sains. De plus, l’effet d’un médicament ayant un effet bien connu sur la cognition (en particulier sur la vigilance), le modafinil, a également été étudié sur cette PS.Suite à une PS de 24 h, les participants se sont vus administrés une dose de modafinil (200 mg en prise unique) (vs. placebo) suivant une procédure en double aveugle, randomisée et en cross-over. Un EEG (25 voies) a été réalisé au cours d’une tâche attentionnelle auditive (identique à celle de l’étude I) avant et après la PS. Les PEC, l’ITC et l’ERSP ont ensuite été calculés.Grâce à ces deux études, nous avons identifié, à l’échelle de groupe, des marqueurs EEG de la cognition liés soit à l’induction d’un déclin cognitif (induit par une PS), soit à l’intervention pharmacologique ciblant le système cholinergique (donepezil) ou différents neurotransmetteurs (modafinil). L’ensemble de ces marqueurs porterait sur la modulation de l’activité corticale au sein du réseau fronto-pariétal ventral, connu pour régir les processus attentionnels et exécutifs. Nous avons également confirmé que ce réseau serait sous-tendu par des activités oscillatoires δ/θ et α. L’efficience cognitive serait le reflet de l’intégrité de ce réseau.Nous avons conclu que l’EEG est un outil suffisamment sensible pour détecter des changements subtils dans les processus neurocognitifs de participants adultes, jeunes et sains suivant l’administration d’un traitement de la MA et de manière plus générale suivant l’administration d’un médicament ayant un effet sur la cognition lorsqu’un déclin cognitif est provoqué (PS).Sous réserve de réplication des résultats et d’analyses complémentaires, l’EEG ainsi que l’EEG couplée à la PS pourraient constituer des outils additionnels à l’évaluation cognitive pour prédire l’efficacité de nouveaux candidat médicaments de la MA. / Symptomatic pharmacological treatments currently marketed for Alzheimer’s disease (AD) have a modest effect on cognitive functioning. In addition, the clinical development of new and more effective compounds is hampered by the lack of predictive criteria to judge their early clinical efficacy.In this context, electroencephalography (EEG) could be a sufficiently sensitive biomarker to identify in an early stage (i.e. Phase I) the therapeutic potential of a new molecule on cognitive functioning. In addition, the difficulty to detect subtle improvements in cognitive performance in Phase I (i.e. in healthy subjects) could be overcome by the development of experimental paradigms such as sleep deprivation (SD), to induce cognitive deficits, still reversible in healthy subjects.EEG and EEG coupled with sleep deprivation (SD) would be innovative and relevant strategies to determine and predict the clinical effectiveness of a molecule in Phase I.In this work, we try to determine the relevance of such strategies by identifying, in healthy subjects, EEG markers of cognitive functioning related to (1) either the taking of a cognitive drug, (2) or the induction of a reversible cognitive decline, (3) or concomitant effects of the two parameters. In order to do that, two studies were performed.In a first study, the effect of donepezil on cortical electrical activity was studied in 30 young, healthy adult volunteers. These volunteers were treated with donepezil (5 mg/day orally) (vs. placebo) for 15 days following a double-blind, randomized, cross-over trial.At the end of the treatment period, an EEG (58 electrodes) was performed during two attentional tasks (auditory and visual). Event-related potentials (ERP), the inter-trial coherence (ITC) and the event-related spectral perturbation (ERSP) were then calculated.In a second study, the effect of SD was studied in 36 young, healthy adult volunteers. In addition, the effect of a cognitive drug (involving high alertness), the modafinil was also studied on this SD._x000D_Following a SD of 24 h, the participants were administered a dose of modafinil (200 mg in a single dose) (vs. placebo) in a double-blind, randomized, cross-over trial. An EEG (25 electrodes) was performed in a hearing attentional task (identical to that of Study 1) before and after the PS. The ERP, ITC and ERSP were then calculated.Through these two studies, we have found, at the group level, cognitive EEG markers related either to the induction of cognitive decline (SD) or pharmacological intervention targeting cholinergic system (donepezil) or several neurotransmitters (modafinil). All these markers would concern the modulation of cortical activity in the ventral frontoparietal network, known to regulate attentional and executive processes. We also confirmed that the network is underlying by δ/θ and α oscillatory activities. The cognitive efficiency would reflect the integrity of the network.We conclude that EEG is a sufficiently sensitive tool to detect subtle changes in neurocognitive processes of young, healthy adult volunteers, following the administration of a treatment of AD and more generally following the administration of a drug having an effect on cognition when cognitive decline is caused (SD).EEG and EEG coupled with SD could constitute additional tools to the current cognitive assessment for predicting the efficacy of new drug candidates for AD before initiation Phases II/III clinical trials. However, the present works needs to be replicated so that the EEG markers described here can be validated so as to be used in drug trials.

No description available.

Over the last 30 or more years evidence has accumulated in favour of the view that memory is not a unitary faculty; rather, it can be subdivided into a num- ber of functionally independent subsystems. Whilst dividing memory phenomena into these distinct subsystems has undoubtedly advanced our understanding of memory as a whole, the approach of studying subsystems in isolation fails to address potential interactions between them. Over the last few decades there has been a gradual increase in the number of studies attempting to move be- yond dissociation by characterising functional interactions between subsystems of memory. The main aim of this thesis was to contribute to this endeavour, by examining interactions between two specific subsystems that are positioned on opposite sides of the declarative and non-declarative divide in long-term mem- ory: priming and episodic recognition. Event-Related Potentials (ERPs) were employed to monitor neural markers of repetition priming and episodic memory during recognition tests with masked priming of test cues. In the standard pro- cedure, half of the studied and unstudied test trials began with a brief (48ms) masked repetition of the to-be-recognized word prior to the onset of test items; the remaining unprimed trials were preceded by the word “blank”. The pattern of priming effects across experiments was reasonably consistent, with differences between experiments directly related to the intended manipulations. In contrast to priming effects, the pattern of memory effects was variable across experiments, demonstrating that the engagement of explicit recognition signals is influenced by the outcome of implicit processing, and suggesting that interactions between priming and explicit retrieval processes do occur. Taken together, results from experiments reported in this thesis indicate (1) that under certain circumstances, priming is sufficient to support accurate recognition and does not necessitate changes in memory performance, (2) that mid-frontal old/new effects indexing familiarity are not merely driven by repeated access to semantic information, and (3) that priming influences neural correlates of recollection by speeding their onset. Overall, the data clearly demonstrate that there are multiple potentially interacting routes to recognition.

Judgments of Learning (JOLs) are judgments of the likelihood of remembering recently studied material on a future test. Although JOLs have been extensively studied, particularly due to their important applications in education, relatively little is known about the cognitive and neural processes supporting JOLs and how these processes relate to actual memory processing. Direct access theories describe JOLs as outputs following direct readings of memory traces and hence predict that JOLs cannot be distinguished from objective memory encoding operations. Inferential theories, by contrast, claim JOLs are products of the evaluation of a number of cues, perceived by learners to carry predictive value. This alternative account argues that JOLs are made on the basis of multiple underlying processes, which do not necessarily overlap with memory encoding. In this thesis, the neural and cognitive bases of JOLs were examined in a series of four ERP experiments. Across experiments the study phase ERP data showed that JOLs produce neural activity that is partly overlapping with, but also partly distinct from, the activity that predicts successful memory encoding. Furthermore, the neural correlates of successful memory encoding appear sensitive to the requirements to make a JOL, emphasising the close interaction between subjective and objective measures of memory encoding. Finally, the neural correlates of both JOLs and successful memory encoding were found to vary depending on the nature of the stimulus materials, suggesting that both phenomena are supported by multiple cognitive and neural systems. Although the primary focus was on the study phase ERP data, the thesis also contains two additional chapters reporting the ERP data acquired during the test phases of three of the original experiments. These data, which examined the relative engagements of retrieval processes for low and high JOL items, suggest that encoding processes specifically resulting in later recollection (as opposed to familiarity) form one reliable basis for making JOLs. Overall, the evidence collected in this series of ERP experiments suggests that JOLs are not pure products of objective memory processes, as suggested by direct access theories, but are supported by neural systems that are at least partly distinct from those supporting successful memory encoding. These observations are compatible with inferential theories claiming that JOLs are supported by multiple processes that can be differentially engaged across stimulus contents.

Reward expectation and spatial attention both exert powerful control over behaviour and modulate neural activity. The experiments in this thesis aimed to chart the dynamics of reward expectation effects across the time course of information processing and examine the relationship between reward and attention. Experiments 3.1 and 3.2 parametrically manipulated reward magnitude in the presence or absence of attention and demonstrated reward could influence reaction time (RT) under conditions of time pressure. Experiments 4.1 and 4.2 independently varied reward and spatial probabilities and illustrated independent and interactive effects of reward and attention at late stages of cognitive processing (the P300 potential), as well as modulation of detection sensitivity (d') by reward under conditions of uncertainty when reward was able to work through feature-based attention. The experiment of Chapter 5 cued reward and attention trial by trial and showed under these conditions, not only could reward influence late stages of information processing, but expectation of reward reduced peak latency of the visual N1 potential. Reward and attention also modulated motor preparation with both independent and interactive effects. The experiment of Chapter 6 examined the dynamics of reward association with task-relevant targets and irrelevant distracters during visual search and demonstrated that task-irrelevant but motivationally-salient distracter items could capture attentional resources away from the target, guided by endogenous reward association alone. The experiments of this thesis demonstrated the ability of reward expectation to modulate both behaviour and multiple stages of information processing, with effects predominantly independent from those of attention. Reward could influence processing from early visual analysis and target detection stages. Interaction between the two systems occurred at late processing stages, whereby reward and attentional information may have been integrated to provide a cohesive representation of the stimulus given the current environmental conditions.

Les commotions cérébrales d’origine sportive sont fréquentes chez les athlètes professionnels et semblent l’être tout autant chez les jeunes sportifs. Chez l’adulte, les symptômes se résorbent dans la majorité des cas assez rapidement (7-10 jours), mais la récupération peut s’avérer différente chez les jeunes. Plusieurs études utilisant les potentiels évoqués cognitifs ont découvert des anomalies cérébrales en l’absence de symptômes cliniques observables chez l'adulte. Toutefois, peu de données scientifiques sont disponibles sur les répercussions d’un tel impact sur le cerveau en développement. Le but de l’étude était de déterminer s’il existe une relation entre l’âge de survenue au moment de la commotion et la gravité des déficits. Cette étude transversale a évalué le fonctionnement cognitif de sportifs par des tests neuropsychologiques ainsi que les mécanismes neuronaux de l’orientation de l’attention (P3a) et de mise à jour de l’information en mémoire de travail (P3b) à l’aide de potentiels évoqués cognitifs. Les athlètes étaient répartis selon trois groupes d’âge [9-12 ans (n=32); 13-16 ans (n=34); adultes (n=30)], la moitié ayant subi une commotion dans la dernière année. Les comparaisons entre les groupes ont été effectuées par une série d’ANOVAs. Comparativement au groupe contrôle, les adolescents commotionnés présentaient des déficits de mémoire de travail. Les athlètes commotionnés démontraient une réduction de l’amplitude de la P3b comparativement aux non-commotionnés. Les résultats illustrent la présence de déficits neurophysiologiques persistants et ce, au moins six mois suivant l’impact. Les enfants semblent aussi sensibles que les adultes aux effets délétères d’une commotion cérébrale et les conséquences s’avèrent plus sévères chez l’adolescent. / Sport-related concussions are common injuries among professional athletes as well in adolescents and children participating in organized sports. Although the majority of concussions resolve rapidly in adults (7-10 days), recovery could be different in younger athletes. Several studies using event-related potentials show that adult athletes have cerebral anomalies in the absence of clinical symptoms. However, the consequences of a sport-related concussion on the developing brain are less known. The purpose of this study was to determine whether age differences exist with respect to cognitive functioning following a sport-related concussion. This cross-sectionnal study assessed cognitive functioning using standardized neuropsychological tests as well the neuronal mechanisms associated with the re-orienting attention (P3a) and with the update of information in working memory (P3b), using event-related potentials. Athletes were divided into three age groups [9-12 yrs (n=32); 13-16 yrs (n=34); and adults (n=30)] half of whom suffered from a sport-related concussion. Group comparisons were investigated with a series of ANOVAs. Specifically, concussed adolescents showed persistent deficits in working memory compare with their non injured counterparts. Concussed athletes from all age groups had significantly lower amplitude for the P3b component of their ERPs compared to their non injured teammates. No age-related differences for ERP’s were found among the concussed groups. These data suggest persistent neurophysiological deficits that are present at least 6 months following a concussion. Children appear to be as sensitive as adults to the consequences of a concussion and adolescents seem experience the most severe outcomes.